htlou commited on
Commit
39714c6
·
verified ·
1 Parent(s): 524d789

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +80 -0
  2. added_tokens.json +4 -0
  3. all_results.json +20 -0
  4. checkpoint-100/added_tokens.json +4 -0
  5. checkpoint-100/config.json +68 -0
  6. checkpoint-100/generation_config.json +6 -0
  7. checkpoint-100/model-00001-of-00004.safetensors +3 -0
  8. checkpoint-100/model-00002-of-00004.safetensors +3 -0
  9. checkpoint-100/model-00003-of-00004.safetensors +3 -0
  10. checkpoint-100/model-00004-of-00004.safetensors +3 -0
  11. checkpoint-100/model.safetensors.index.json +694 -0
  12. checkpoint-100/preprocessor_config.json +52 -0
  13. checkpoint-100/special_tokens_map.json +30 -0
  14. checkpoint-100/tokenizer.json +0 -0
  15. checkpoint-100/tokenizer.model +3 -0
  16. checkpoint-100/tokenizer_config.json +70 -0
  17. checkpoint-100/trainer_state.json +365 -0
  18. checkpoint-100/training_args.bin +3 -0
  19. checkpoint-200/added_tokens.json +4 -0
  20. checkpoint-200/config.json +68 -0
  21. checkpoint-200/generation_config.json +6 -0
  22. checkpoint-200/model-00001-of-00004.safetensors +3 -0
  23. checkpoint-200/model-00002-of-00004.safetensors +3 -0
  24. checkpoint-200/model-00003-of-00004.safetensors +3 -0
  25. checkpoint-200/model-00004-of-00004.safetensors +3 -0
  26. checkpoint-200/model.safetensors.index.json +694 -0
  27. checkpoint-200/preprocessor_config.json +52 -0
  28. checkpoint-200/special_tokens_map.json +30 -0
  29. checkpoint-200/tokenizer.json +0 -0
  30. checkpoint-200/tokenizer.model +3 -0
  31. checkpoint-200/tokenizer_config.json +70 -0
  32. checkpoint-200/trainer_state.json +697 -0
  33. checkpoint-200/training_args.bin +3 -0
  34. checkpoint-300/added_tokens.json +4 -0
  35. checkpoint-300/config.json +68 -0
  36. checkpoint-300/generation_config.json +6 -0
  37. checkpoint-300/model-00001-of-00004.safetensors +3 -0
  38. checkpoint-300/model-00002-of-00004.safetensors +3 -0
  39. checkpoint-300/model-00003-of-00004.safetensors +3 -0
  40. checkpoint-300/model-00004-of-00004.safetensors +3 -0
  41. checkpoint-300/model.safetensors.index.json +694 -0
  42. checkpoint-300/preprocessor_config.json +52 -0
  43. checkpoint-300/special_tokens_map.json +30 -0
  44. checkpoint-300/tokenizer.json +0 -0
  45. checkpoint-300/tokenizer.model +3 -0
  46. checkpoint-300/tokenizer_config.json +70 -0
  47. checkpoint-300/trainer_state.json +1029 -0
  48. checkpoint-300/training_args.bin +3 -0
  49. checkpoint-360/added_tokens.json +4 -0
  50. checkpoint-360/config.json +68 -0
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: llava-hf/llava-v1.6-mistral-7b-hf
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: AA_preference_random_0_90
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # AA_preference_random_0_90
18
+
19
+ This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_preference_random_0_90 dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.5266
22
+ - Rewards/chosen: 0.6411
23
+ - Rewards/rejected: -1.9030
24
+ - Rewards/accuracies: 0.7986
25
+ - Rewards/margins: 2.5441
26
+ - Logps/rejected: -230.4333
27
+ - Logps/chosen: -239.3183
28
+ - Logits/rejected: -2.0706
29
+ - Logits/chosen: -2.1025
30
+
31
+ ## Model description
32
+
33
+ More information needed
34
+
35
+ ## Intended uses & limitations
36
+
37
+ More information needed
38
+
39
+ ## Training and evaluation data
40
+
41
+ More information needed
42
+
43
+ ## Training procedure
44
+
45
+ ### Training hyperparameters
46
+
47
+ The following hyperparameters were used during training:
48
+ - learning_rate: 1e-06
49
+ - train_batch_size: 8
50
+ - eval_batch_size: 8
51
+ - seed: 42
52
+ - distributed_type: multi-GPU
53
+ - num_devices: 8
54
+ - gradient_accumulation_steps: 4
55
+ - total_train_batch_size: 256
56
+ - total_eval_batch_size: 64
57
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
58
+ - lr_scheduler_type: cosine
59
+ - lr_scheduler_warmup_steps: 10
60
+ - num_epochs: 3.0
61
+
62
+ ### Training results
63
+
64
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
65
+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
66
+ | 0.635 | 0.4158 | 50 | 0.5987 | 0.8451 | -0.0388 | 0.7014 | 0.8840 | -211.7915 | -237.2780 | -2.3908 | -2.3899 |
67
+ | 0.4933 | 0.8316 | 100 | 0.5285 | -0.2263 | -1.8151 | 0.7523 | 1.5888 | -229.5545 | -247.9923 | -1.9128 | -1.9530 |
68
+ | 0.2495 | 1.2474 | 150 | 0.5427 | 0.5572 | -1.4201 | 0.7593 | 1.9773 | -225.6041 | -240.1570 | -2.0983 | -2.1232 |
69
+ | 0.2753 | 1.6632 | 200 | 0.5260 | 0.5776 | -1.6735 | 0.7870 | 2.2511 | -228.1382 | -239.9529 | -1.9752 | -2.0068 |
70
+ | 0.1584 | 2.0790 | 250 | 0.5118 | 0.5255 | -1.9057 | 0.7940 | 2.4312 | -230.4605 | -240.4746 | -2.0354 | -2.0689 |
71
+ | 0.1572 | 2.4948 | 300 | 0.5261 | 0.7582 | -1.7260 | 0.7986 | 2.4842 | -228.6629 | -238.1469 | -2.0616 | -2.0941 |
72
+ | 0.1557 | 2.9106 | 350 | 0.5265 | 0.6414 | -1.9061 | 0.7986 | 2.5475 | -230.4645 | -239.3154 | -2.0706 | -2.1026 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.45.2
78
+ - Pytorch 2.4.0+cu121
79
+ - Datasets 2.21.0
80
+ - Tokenizers 0.20.3
added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
all_results.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.993762993762994,
3
+ "eval_logits/chosen": -2.102522134780884,
4
+ "eval_logits/rejected": -2.0705835819244385,
5
+ "eval_logps/chosen": -239.31826782226562,
6
+ "eval_logps/rejected": -230.43333435058594,
7
+ "eval_loss": 0.5266440510749817,
8
+ "eval_rewards/accuracies": 0.7986111044883728,
9
+ "eval_rewards/chosen": 0.6410874724388123,
10
+ "eval_rewards/margins": 2.544097900390625,
11
+ "eval_rewards/rejected": -1.903010368347168,
12
+ "eval_runtime": 227.0367,
13
+ "eval_samples_per_second": 15.064,
14
+ "eval_steps_per_second": 0.238,
15
+ "total_flos": 4244978440077312.0,
16
+ "train_loss": 0.33394469337330923,
17
+ "train_runtime": 13841.1213,
18
+ "train_samples_per_second": 6.669,
19
+ "train_steps_per_second": 0.026
20
+ }
checkpoint-100/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-100/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-100/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-100/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa204ad75233207e4ad270a54f431be9ccc90a833332a1e9caea068f281f25e3
3
+ size 4921618624
checkpoint-100/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9aacc92703c2f5bf5c6dd9bfef83e49608fd3da148fbf705078634ea684f5921
3
+ size 4915917672
checkpoint-100/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f544279219ad1d64972b29a8f5cf6c864ebf6c3b667e58e5a2e6bc91e863f573
3
+ size 4915917680
checkpoint-100/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f1f0ee902e6c0b7886761505e58777c645a26f54c53a4be81f10cc8e2b785b2
3
+ size 380134008
checkpoint-100/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-100/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-100/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-100/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-100/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-100/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,365 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.8316008316008316,
5
+ "eval_steps": 50,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04158004158004158,
13
+ "grad_norm": 57.63412014296559,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7145180702209473,
16
+ "logits/rejected": -2.7382097244262695,
17
+ "logps/chosen": -265.24481201171875,
18
+ "logps/rejected": -201.1150665283203,
19
+ "loss": 0.6915,
20
+ "rewards/accuracies": 0.375,
21
+ "rewards/chosen": 0.01524554193019867,
22
+ "rewards/margins": 0.008573563769459724,
23
+ "rewards/rejected": 0.006671978626400232,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.08316008316008316,
28
+ "grad_norm": 52.91443405505758,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.690777063369751,
31
+ "logits/rejected": -2.689495325088501,
32
+ "logps/chosen": -259.32598876953125,
33
+ "logps/rejected": -236.3219757080078,
34
+ "loss": 0.6616,
35
+ "rewards/accuracies": 0.6312500238418579,
36
+ "rewards/chosen": 0.4881957471370697,
37
+ "rewards/margins": 0.10135326534509659,
38
+ "rewards/rejected": 0.3868425786495209,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.12474012474012475,
43
+ "grad_norm": 53.28329333963272,
44
+ "learning_rate": 9.994965332706572e-07,
45
+ "logits/chosen": -2.5831141471862793,
46
+ "logits/rejected": -2.580876350402832,
47
+ "logps/chosen": -237.8153839111328,
48
+ "logps/rejected": -192.7242889404297,
49
+ "loss": 0.6359,
50
+ "rewards/accuracies": 0.6875,
51
+ "rewards/chosen": 1.1336857080459595,
52
+ "rewards/margins": 0.47578057646751404,
53
+ "rewards/rejected": 0.6579049825668335,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.16632016632016633,
58
+ "grad_norm": 59.51771261732688,
59
+ "learning_rate": 9.979871469976195e-07,
60
+ "logits/chosen": -2.5097970962524414,
61
+ "logits/rejected": -2.491774797439575,
62
+ "logps/chosen": -241.24349975585938,
63
+ "logps/rejected": -206.7909698486328,
64
+ "loss": 0.6385,
65
+ "rewards/accuracies": 0.6875,
66
+ "rewards/chosen": 1.5591249465942383,
67
+ "rewards/margins": 0.980699896812439,
68
+ "rewards/rejected": 0.5784249305725098,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.2079002079002079,
73
+ "grad_norm": 43.932979300169734,
74
+ "learning_rate": 9.954748808839674e-07,
75
+ "logits/chosen": -2.428896427154541,
76
+ "logits/rejected": -2.426640510559082,
77
+ "logps/chosen": -260.3008117675781,
78
+ "logps/rejected": -223.4193878173828,
79
+ "loss": 0.6287,
80
+ "rewards/accuracies": 0.6499999761581421,
81
+ "rewards/chosen": 1.4255732297897339,
82
+ "rewards/margins": 0.9219636917114258,
83
+ "rewards/rejected": 0.5036097764968872,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.2494802494802495,
88
+ "grad_norm": 51.9520224365334,
89
+ "learning_rate": 9.919647942993147e-07,
90
+ "logits/chosen": -2.270231008529663,
91
+ "logits/rejected": -2.2373533248901367,
92
+ "logps/chosen": -239.1925811767578,
93
+ "logps/rejected": -199.03244018554688,
94
+ "loss": 0.6013,
95
+ "rewards/accuracies": 0.675000011920929,
96
+ "rewards/chosen": 1.0962295532226562,
97
+ "rewards/margins": 0.8090855479240417,
98
+ "rewards/rejected": 0.28714415431022644,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.2910602910602911,
103
+ "grad_norm": 42.07074967218912,
104
+ "learning_rate": 9.874639560909118e-07,
105
+ "logits/chosen": -2.2837703227996826,
106
+ "logits/rejected": -2.2773120403289795,
107
+ "logps/chosen": -245.8435516357422,
108
+ "logps/rejected": -218.3318328857422,
109
+ "loss": 0.5782,
110
+ "rewards/accuracies": 0.6812499761581421,
111
+ "rewards/chosen": 0.842710018157959,
112
+ "rewards/margins": 0.7606425285339355,
113
+ "rewards/rejected": 0.08206750452518463,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.33264033264033266,
118
+ "grad_norm": 40.52902304303911,
119
+ "learning_rate": 9.819814303479267e-07,
120
+ "logits/chosen": -2.3677680492401123,
121
+ "logits/rejected": -2.3257031440734863,
122
+ "logps/chosen": -255.2162322998047,
123
+ "logps/rejected": -206.1927490234375,
124
+ "loss": 0.5732,
125
+ "rewards/accuracies": 0.762499988079071,
126
+ "rewards/chosen": 0.774177610874176,
127
+ "rewards/margins": 0.9143842458724976,
128
+ "rewards/rejected": -0.14020657539367676,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.37422037422037424,
133
+ "grad_norm": 42.34370895122762,
134
+ "learning_rate": 9.755282581475767e-07,
135
+ "logits/chosen": -2.39888596534729,
136
+ "logits/rejected": -2.3836829662323,
137
+ "logps/chosen": -237.30508422851562,
138
+ "logps/rejected": -216.06588745117188,
139
+ "loss": 0.5958,
140
+ "rewards/accuracies": 0.75,
141
+ "rewards/chosen": 0.7707290649414062,
142
+ "rewards/margins": 1.1094779968261719,
143
+ "rewards/rejected": -0.3387489914894104,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.4158004158004158,
148
+ "grad_norm": 46.42422960165206,
149
+ "learning_rate": 9.681174353198686e-07,
150
+ "logits/chosen": -2.3984861373901367,
151
+ "logits/rejected": -2.3900020122528076,
152
+ "logps/chosen": -233.5660400390625,
153
+ "logps/rejected": -216.6641082763672,
154
+ "loss": 0.635,
155
+ "rewards/accuracies": 0.7437499761581421,
156
+ "rewards/chosen": 0.9606113433837891,
157
+ "rewards/margins": 1.124942660331726,
158
+ "rewards/rejected": -0.16433146595954895,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.4158004158004158,
163
+ "eval_logits/chosen": -2.3899078369140625,
164
+ "eval_logits/rejected": -2.3907740116119385,
165
+ "eval_logps/chosen": -237.2779541015625,
166
+ "eval_logps/rejected": -211.79153442382812,
167
+ "eval_loss": 0.598716676235199,
168
+ "eval_rewards/accuracies": 0.7013888955116272,
169
+ "eval_rewards/chosen": 0.8451206684112549,
170
+ "eval_rewards/margins": 0.8839507102966309,
171
+ "eval_rewards/rejected": -0.038830023258924484,
172
+ "eval_runtime": 229.0134,
173
+ "eval_samples_per_second": 14.934,
174
+ "eval_steps_per_second": 0.236,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.4573804573804574,
179
+ "grad_norm": 38.39211344385862,
180
+ "learning_rate": 9.597638862757253e-07,
181
+ "logits/chosen": -2.456921339035034,
182
+ "logits/rejected": -2.4394099712371826,
183
+ "logps/chosen": -237.6243133544922,
184
+ "logps/rejected": -233.6071014404297,
185
+ "loss": 0.6009,
186
+ "rewards/accuracies": 0.762499988079071,
187
+ "rewards/chosen": 0.8705752491950989,
188
+ "rewards/margins": 1.126349687576294,
189
+ "rewards/rejected": -0.2557744085788727,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.498960498960499,
194
+ "grad_norm": 37.3024427630972,
195
+ "learning_rate": 9.504844339512094e-07,
196
+ "logits/chosen": -2.521387815475464,
197
+ "logits/rejected": -2.4951186180114746,
198
+ "logps/chosen": -266.1732177734375,
199
+ "logps/rejected": -242.85897827148438,
200
+ "loss": 0.554,
201
+ "rewards/accuracies": 0.7437499761581421,
202
+ "rewards/chosen": 0.9916666150093079,
203
+ "rewards/margins": 1.3694941997528076,
204
+ "rewards/rejected": -0.3778277039527893,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.5405405405405406,
209
+ "grad_norm": 34.5258394053866,
210
+ "learning_rate": 9.402977659283689e-07,
211
+ "logits/chosen": -2.4310925006866455,
212
+ "logits/rejected": -2.4042844772338867,
213
+ "logps/chosen": -223.9085693359375,
214
+ "logps/rejected": -203.2917022705078,
215
+ "loss": 0.5364,
216
+ "rewards/accuracies": 0.6625000238418579,
217
+ "rewards/chosen": 0.5567647814750671,
218
+ "rewards/margins": 0.8208805918693542,
219
+ "rewards/rejected": -0.26411566138267517,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.5821205821205822,
224
+ "grad_norm": 37.746071231755344,
225
+ "learning_rate": 9.29224396800933e-07,
226
+ "logits/chosen": -2.3321871757507324,
227
+ "logits/rejected": -2.2954535484313965,
228
+ "logps/chosen": -243.26156616210938,
229
+ "logps/rejected": -226.8199005126953,
230
+ "loss": 0.5423,
231
+ "rewards/accuracies": 0.7749999761581421,
232
+ "rewards/chosen": 0.38314875960350037,
233
+ "rewards/margins": 1.1013362407684326,
234
+ "rewards/rejected": -0.7181875109672546,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.6237006237006237,
239
+ "grad_norm": 57.07804647920337,
240
+ "learning_rate": 9.172866268606513e-07,
241
+ "logits/chosen": -2.26948881149292,
242
+ "logits/rejected": -2.2403252124786377,
243
+ "logps/chosen": -251.2090606689453,
244
+ "logps/rejected": -240.20169067382812,
245
+ "loss": 0.5844,
246
+ "rewards/accuracies": 0.7562500238418579,
247
+ "rewards/chosen": 0.9941379427909851,
248
+ "rewards/margins": 1.1448538303375244,
249
+ "rewards/rejected": -0.1507158726453781,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.6652806652806653,
254
+ "grad_norm": 36.48822907311496,
255
+ "learning_rate": 9.045084971874737e-07,
256
+ "logits/chosen": -2.212411403656006,
257
+ "logits/rejected": -2.1935043334960938,
258
+ "logps/chosen": -272.8021545410156,
259
+ "logps/rejected": -241.2564239501953,
260
+ "loss": 0.5453,
261
+ "rewards/accuracies": 0.78125,
262
+ "rewards/chosen": 1.1616096496582031,
263
+ "rewards/margins": 1.850441336631775,
264
+ "rewards/rejected": -0.6888317465782166,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.7068607068607069,
269
+ "grad_norm": 38.5389032336389,
270
+ "learning_rate": 8.909157412340149e-07,
271
+ "logits/chosen": -2.180285930633545,
272
+ "logits/rejected": -2.126051902770996,
273
+ "logps/chosen": -253.0643310546875,
274
+ "logps/rejected": -237.400390625,
275
+ "loss": 0.5269,
276
+ "rewards/accuracies": 0.75,
277
+ "rewards/chosen": 0.9046308398246765,
278
+ "rewards/margins": 1.5041005611419678,
279
+ "rewards/rejected": -0.599469780921936,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.7484407484407485,
284
+ "grad_norm": 31.08445554774815,
285
+ "learning_rate": 8.765357330018055e-07,
286
+ "logits/chosen": -2.146207332611084,
287
+ "logits/rejected": -2.1198434829711914,
288
+ "logps/chosen": -246.0504608154297,
289
+ "logps/rejected": -242.79714965820312,
290
+ "loss": 0.5741,
291
+ "rewards/accuracies": 0.7749999761581421,
292
+ "rewards/chosen": 0.4694552421569824,
293
+ "rewards/margins": 1.537427544593811,
294
+ "rewards/rejected": -1.0679724216461182,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.7900207900207901,
299
+ "grad_norm": 32.25150255167185,
300
+ "learning_rate": 8.613974319136957e-07,
301
+ "logits/chosen": -2.114973306655884,
302
+ "logits/rejected": -2.0754525661468506,
303
+ "logps/chosen": -249.64132690429688,
304
+ "logps/rejected": -233.89352416992188,
305
+ "loss": 0.4787,
306
+ "rewards/accuracies": 0.7437499761581421,
307
+ "rewards/chosen": -0.09324260801076889,
308
+ "rewards/margins": 1.446690320968628,
309
+ "rewards/rejected": -1.5399329662322998,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.8316008316008316,
314
+ "grad_norm": 34.22313791470385,
315
+ "learning_rate": 8.455313244934324e-07,
316
+ "logits/chosen": -2.027057409286499,
317
+ "logits/rejected": -1.9819841384887695,
318
+ "logps/chosen": -250.86947631835938,
319
+ "logps/rejected": -241.2573699951172,
320
+ "loss": 0.4933,
321
+ "rewards/accuracies": 0.8187500238418579,
322
+ "rewards/chosen": 0.10764148086309433,
323
+ "rewards/margins": 1.9850435256958008,
324
+ "rewards/rejected": -1.8774023056030273,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.8316008316008316,
329
+ "eval_logits/chosen": -1.9530320167541504,
330
+ "eval_logits/rejected": -1.9127507209777832,
331
+ "eval_logps/chosen": -247.99232482910156,
332
+ "eval_logps/rejected": -229.55447387695312,
333
+ "eval_loss": 0.5284922122955322,
334
+ "eval_rewards/accuracies": 0.7523148059844971,
335
+ "eval_rewards/chosen": -0.22631923854351044,
336
+ "eval_rewards/margins": 1.5888041257858276,
337
+ "eval_rewards/rejected": -1.815123438835144,
338
+ "eval_runtime": 227.9451,
339
+ "eval_samples_per_second": 15.004,
340
+ "eval_steps_per_second": 0.237,
341
+ "step": 100
342
+ }
343
+ ],
344
+ "logging_steps": 5,
345
+ "max_steps": 360,
346
+ "num_input_tokens_seen": 0,
347
+ "num_train_epochs": 3,
348
+ "save_steps": 100,
349
+ "stateful_callbacks": {
350
+ "TrainerControl": {
351
+ "args": {
352
+ "should_epoch_stop": false,
353
+ "should_evaluate": false,
354
+ "should_log": false,
355
+ "should_save": true,
356
+ "should_training_stop": false
357
+ },
358
+ "attributes": {}
359
+ }
360
+ },
361
+ "total_flos": 1178822762299392.0,
362
+ "train_batch_size": 8,
363
+ "trial_name": null,
364
+ "trial_params": null
365
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56299ad062d8576ff41b740c46d652e74acb87f455a7c87b3704f2671b07aaf8
3
+ size 7096
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-200/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-200/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-200/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3090b81a76ff8b0685091cdbf645f3e8c1847b393adffc88db8fcf61e0d210f5
3
+ size 4921618624
checkpoint-200/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bea88bbe049610ebea1a0af75ae71734e394918dfd58385be13ff3e057755bb
3
+ size 4915917672
checkpoint-200/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f85cd257f82c976ae41da0418bd05e537840e0093352cff6e796087144e41a8
3
+ size 4915917680
checkpoint-200/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e3642b63da9aa32d0eaaaddccc65d3b15caa6205575d8ac11afd18f093a1920
3
+ size 380134008
checkpoint-200/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-200/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-200/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,697 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.6632016632016633,
5
+ "eval_steps": 50,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04158004158004158,
13
+ "grad_norm": 57.63412014296559,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7145180702209473,
16
+ "logits/rejected": -2.7382097244262695,
17
+ "logps/chosen": -265.24481201171875,
18
+ "logps/rejected": -201.1150665283203,
19
+ "loss": 0.6915,
20
+ "rewards/accuracies": 0.375,
21
+ "rewards/chosen": 0.01524554193019867,
22
+ "rewards/margins": 0.008573563769459724,
23
+ "rewards/rejected": 0.006671978626400232,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.08316008316008316,
28
+ "grad_norm": 52.91443405505758,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.690777063369751,
31
+ "logits/rejected": -2.689495325088501,
32
+ "logps/chosen": -259.32598876953125,
33
+ "logps/rejected": -236.3219757080078,
34
+ "loss": 0.6616,
35
+ "rewards/accuracies": 0.6312500238418579,
36
+ "rewards/chosen": 0.4881957471370697,
37
+ "rewards/margins": 0.10135326534509659,
38
+ "rewards/rejected": 0.3868425786495209,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.12474012474012475,
43
+ "grad_norm": 53.28329333963272,
44
+ "learning_rate": 9.994965332706572e-07,
45
+ "logits/chosen": -2.5831141471862793,
46
+ "logits/rejected": -2.580876350402832,
47
+ "logps/chosen": -237.8153839111328,
48
+ "logps/rejected": -192.7242889404297,
49
+ "loss": 0.6359,
50
+ "rewards/accuracies": 0.6875,
51
+ "rewards/chosen": 1.1336857080459595,
52
+ "rewards/margins": 0.47578057646751404,
53
+ "rewards/rejected": 0.6579049825668335,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.16632016632016633,
58
+ "grad_norm": 59.51771261732688,
59
+ "learning_rate": 9.979871469976195e-07,
60
+ "logits/chosen": -2.5097970962524414,
61
+ "logits/rejected": -2.491774797439575,
62
+ "logps/chosen": -241.24349975585938,
63
+ "logps/rejected": -206.7909698486328,
64
+ "loss": 0.6385,
65
+ "rewards/accuracies": 0.6875,
66
+ "rewards/chosen": 1.5591249465942383,
67
+ "rewards/margins": 0.980699896812439,
68
+ "rewards/rejected": 0.5784249305725098,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.2079002079002079,
73
+ "grad_norm": 43.932979300169734,
74
+ "learning_rate": 9.954748808839674e-07,
75
+ "logits/chosen": -2.428896427154541,
76
+ "logits/rejected": -2.426640510559082,
77
+ "logps/chosen": -260.3008117675781,
78
+ "logps/rejected": -223.4193878173828,
79
+ "loss": 0.6287,
80
+ "rewards/accuracies": 0.6499999761581421,
81
+ "rewards/chosen": 1.4255732297897339,
82
+ "rewards/margins": 0.9219636917114258,
83
+ "rewards/rejected": 0.5036097764968872,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.2494802494802495,
88
+ "grad_norm": 51.9520224365334,
89
+ "learning_rate": 9.919647942993147e-07,
90
+ "logits/chosen": -2.270231008529663,
91
+ "logits/rejected": -2.2373533248901367,
92
+ "logps/chosen": -239.1925811767578,
93
+ "logps/rejected": -199.03244018554688,
94
+ "loss": 0.6013,
95
+ "rewards/accuracies": 0.675000011920929,
96
+ "rewards/chosen": 1.0962295532226562,
97
+ "rewards/margins": 0.8090855479240417,
98
+ "rewards/rejected": 0.28714415431022644,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.2910602910602911,
103
+ "grad_norm": 42.07074967218912,
104
+ "learning_rate": 9.874639560909118e-07,
105
+ "logits/chosen": -2.2837703227996826,
106
+ "logits/rejected": -2.2773120403289795,
107
+ "logps/chosen": -245.8435516357422,
108
+ "logps/rejected": -218.3318328857422,
109
+ "loss": 0.5782,
110
+ "rewards/accuracies": 0.6812499761581421,
111
+ "rewards/chosen": 0.842710018157959,
112
+ "rewards/margins": 0.7606425285339355,
113
+ "rewards/rejected": 0.08206750452518463,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.33264033264033266,
118
+ "grad_norm": 40.52902304303911,
119
+ "learning_rate": 9.819814303479267e-07,
120
+ "logits/chosen": -2.3677680492401123,
121
+ "logits/rejected": -2.3257031440734863,
122
+ "logps/chosen": -255.2162322998047,
123
+ "logps/rejected": -206.1927490234375,
124
+ "loss": 0.5732,
125
+ "rewards/accuracies": 0.762499988079071,
126
+ "rewards/chosen": 0.774177610874176,
127
+ "rewards/margins": 0.9143842458724976,
128
+ "rewards/rejected": -0.14020657539367676,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.37422037422037424,
133
+ "grad_norm": 42.34370895122762,
134
+ "learning_rate": 9.755282581475767e-07,
135
+ "logits/chosen": -2.39888596534729,
136
+ "logits/rejected": -2.3836829662323,
137
+ "logps/chosen": -237.30508422851562,
138
+ "logps/rejected": -216.06588745117188,
139
+ "loss": 0.5958,
140
+ "rewards/accuracies": 0.75,
141
+ "rewards/chosen": 0.7707290649414062,
142
+ "rewards/margins": 1.1094779968261719,
143
+ "rewards/rejected": -0.3387489914894104,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.4158004158004158,
148
+ "grad_norm": 46.42422960165206,
149
+ "learning_rate": 9.681174353198686e-07,
150
+ "logits/chosen": -2.3984861373901367,
151
+ "logits/rejected": -2.3900020122528076,
152
+ "logps/chosen": -233.5660400390625,
153
+ "logps/rejected": -216.6641082763672,
154
+ "loss": 0.635,
155
+ "rewards/accuracies": 0.7437499761581421,
156
+ "rewards/chosen": 0.9606113433837891,
157
+ "rewards/margins": 1.124942660331726,
158
+ "rewards/rejected": -0.16433146595954895,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.4158004158004158,
163
+ "eval_logits/chosen": -2.3899078369140625,
164
+ "eval_logits/rejected": -2.3907740116119385,
165
+ "eval_logps/chosen": -237.2779541015625,
166
+ "eval_logps/rejected": -211.79153442382812,
167
+ "eval_loss": 0.598716676235199,
168
+ "eval_rewards/accuracies": 0.7013888955116272,
169
+ "eval_rewards/chosen": 0.8451206684112549,
170
+ "eval_rewards/margins": 0.8839507102966309,
171
+ "eval_rewards/rejected": -0.038830023258924484,
172
+ "eval_runtime": 229.0134,
173
+ "eval_samples_per_second": 14.934,
174
+ "eval_steps_per_second": 0.236,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.4573804573804574,
179
+ "grad_norm": 38.39211344385862,
180
+ "learning_rate": 9.597638862757253e-07,
181
+ "logits/chosen": -2.456921339035034,
182
+ "logits/rejected": -2.4394099712371826,
183
+ "logps/chosen": -237.6243133544922,
184
+ "logps/rejected": -233.6071014404297,
185
+ "loss": 0.6009,
186
+ "rewards/accuracies": 0.762499988079071,
187
+ "rewards/chosen": 0.8705752491950989,
188
+ "rewards/margins": 1.126349687576294,
189
+ "rewards/rejected": -0.2557744085788727,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.498960498960499,
194
+ "grad_norm": 37.3024427630972,
195
+ "learning_rate": 9.504844339512094e-07,
196
+ "logits/chosen": -2.521387815475464,
197
+ "logits/rejected": -2.4951186180114746,
198
+ "logps/chosen": -266.1732177734375,
199
+ "logps/rejected": -242.85897827148438,
200
+ "loss": 0.554,
201
+ "rewards/accuracies": 0.7437499761581421,
202
+ "rewards/chosen": 0.9916666150093079,
203
+ "rewards/margins": 1.3694941997528076,
204
+ "rewards/rejected": -0.3778277039527893,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.5405405405405406,
209
+ "grad_norm": 34.5258394053866,
210
+ "learning_rate": 9.402977659283689e-07,
211
+ "logits/chosen": -2.4310925006866455,
212
+ "logits/rejected": -2.4042844772338867,
213
+ "logps/chosen": -223.9085693359375,
214
+ "logps/rejected": -203.2917022705078,
215
+ "loss": 0.5364,
216
+ "rewards/accuracies": 0.6625000238418579,
217
+ "rewards/chosen": 0.5567647814750671,
218
+ "rewards/margins": 0.8208805918693542,
219
+ "rewards/rejected": -0.26411566138267517,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.5821205821205822,
224
+ "grad_norm": 37.746071231755344,
225
+ "learning_rate": 9.29224396800933e-07,
226
+ "logits/chosen": -2.3321871757507324,
227
+ "logits/rejected": -2.2954535484313965,
228
+ "logps/chosen": -243.26156616210938,
229
+ "logps/rejected": -226.8199005126953,
230
+ "loss": 0.5423,
231
+ "rewards/accuracies": 0.7749999761581421,
232
+ "rewards/chosen": 0.38314875960350037,
233
+ "rewards/margins": 1.1013362407684326,
234
+ "rewards/rejected": -0.7181875109672546,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.6237006237006237,
239
+ "grad_norm": 57.07804647920337,
240
+ "learning_rate": 9.172866268606513e-07,
241
+ "logits/chosen": -2.26948881149292,
242
+ "logits/rejected": -2.2403252124786377,
243
+ "logps/chosen": -251.2090606689453,
244
+ "logps/rejected": -240.20169067382812,
245
+ "loss": 0.5844,
246
+ "rewards/accuracies": 0.7562500238418579,
247
+ "rewards/chosen": 0.9941379427909851,
248
+ "rewards/margins": 1.1448538303375244,
249
+ "rewards/rejected": -0.1507158726453781,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.6652806652806653,
254
+ "grad_norm": 36.48822907311496,
255
+ "learning_rate": 9.045084971874737e-07,
256
+ "logits/chosen": -2.212411403656006,
257
+ "logits/rejected": -2.1935043334960938,
258
+ "logps/chosen": -272.8021545410156,
259
+ "logps/rejected": -241.2564239501953,
260
+ "loss": 0.5453,
261
+ "rewards/accuracies": 0.78125,
262
+ "rewards/chosen": 1.1616096496582031,
263
+ "rewards/margins": 1.850441336631775,
264
+ "rewards/rejected": -0.6888317465782166,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.7068607068607069,
269
+ "grad_norm": 38.5389032336389,
270
+ "learning_rate": 8.909157412340149e-07,
271
+ "logits/chosen": -2.180285930633545,
272
+ "logits/rejected": -2.126051902770996,
273
+ "logps/chosen": -253.0643310546875,
274
+ "logps/rejected": -237.400390625,
275
+ "loss": 0.5269,
276
+ "rewards/accuracies": 0.75,
277
+ "rewards/chosen": 0.9046308398246765,
278
+ "rewards/margins": 1.5041005611419678,
279
+ "rewards/rejected": -0.599469780921936,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.7484407484407485,
284
+ "grad_norm": 31.08445554774815,
285
+ "learning_rate": 8.765357330018055e-07,
286
+ "logits/chosen": -2.146207332611084,
287
+ "logits/rejected": -2.1198434829711914,
288
+ "logps/chosen": -246.0504608154297,
289
+ "logps/rejected": -242.79714965820312,
290
+ "loss": 0.5741,
291
+ "rewards/accuracies": 0.7749999761581421,
292
+ "rewards/chosen": 0.4694552421569824,
293
+ "rewards/margins": 1.537427544593811,
294
+ "rewards/rejected": -1.0679724216461182,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.7900207900207901,
299
+ "grad_norm": 32.25150255167185,
300
+ "learning_rate": 8.613974319136957e-07,
301
+ "logits/chosen": -2.114973306655884,
302
+ "logits/rejected": -2.0754525661468506,
303
+ "logps/chosen": -249.64132690429688,
304
+ "logps/rejected": -233.89352416992188,
305
+ "loss": 0.4787,
306
+ "rewards/accuracies": 0.7437499761581421,
307
+ "rewards/chosen": -0.09324260801076889,
308
+ "rewards/margins": 1.446690320968628,
309
+ "rewards/rejected": -1.5399329662322998,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.8316008316008316,
314
+ "grad_norm": 34.22313791470385,
315
+ "learning_rate": 8.455313244934324e-07,
316
+ "logits/chosen": -2.027057409286499,
317
+ "logits/rejected": -1.9819841384887695,
318
+ "logps/chosen": -250.86947631835938,
319
+ "logps/rejected": -241.2573699951172,
320
+ "loss": 0.4933,
321
+ "rewards/accuracies": 0.8187500238418579,
322
+ "rewards/chosen": 0.10764148086309433,
323
+ "rewards/margins": 1.9850435256958008,
324
+ "rewards/rejected": -1.8774023056030273,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.8316008316008316,
329
+ "eval_logits/chosen": -1.9530320167541504,
330
+ "eval_logits/rejected": -1.9127507209777832,
331
+ "eval_logps/chosen": -247.99232482910156,
332
+ "eval_logps/rejected": -229.55447387695312,
333
+ "eval_loss": 0.5284922122955322,
334
+ "eval_rewards/accuracies": 0.7523148059844971,
335
+ "eval_rewards/chosen": -0.22631923854351044,
336
+ "eval_rewards/margins": 1.5888041257858276,
337
+ "eval_rewards/rejected": -1.815123438835144,
338
+ "eval_runtime": 227.9451,
339
+ "eval_samples_per_second": 15.004,
340
+ "eval_steps_per_second": 0.237,
341
+ "step": 100
342
+ },
343
+ {
344
+ "epoch": 0.8731808731808732,
345
+ "grad_norm": 43.67585736596051,
346
+ "learning_rate": 8.289693629698563e-07,
347
+ "logits/chosen": -1.952876329421997,
348
+ "logits/rejected": -1.9095561504364014,
349
+ "logps/chosen": -250.580322265625,
350
+ "logps/rejected": -255.4891357421875,
351
+ "loss": 0.5324,
352
+ "rewards/accuracies": 0.71875,
353
+ "rewards/chosen": -0.0729295164346695,
354
+ "rewards/margins": 1.8105415105819702,
355
+ "rewards/rejected": -1.8834712505340576,
356
+ "step": 105
357
+ },
358
+ {
359
+ "epoch": 0.9147609147609148,
360
+ "grad_norm": 39.1719273308311,
361
+ "learning_rate": 8.117449009293668e-07,
362
+ "logits/chosen": -1.8559868335723877,
363
+ "logits/rejected": -1.799195647239685,
364
+ "logps/chosen": -248.75961303710938,
365
+ "logps/rejected": -232.480712890625,
366
+ "loss": 0.4943,
367
+ "rewards/accuracies": 0.75,
368
+ "rewards/chosen": 0.30641165375709534,
369
+ "rewards/margins": 1.7232319116592407,
370
+ "rewards/rejected": -1.4168202877044678,
371
+ "step": 110
372
+ },
373
+ {
374
+ "epoch": 0.9563409563409564,
375
+ "grad_norm": 30.704674411877335,
376
+ "learning_rate": 7.938926261462365e-07,
377
+ "logits/chosen": -1.7355577945709229,
378
+ "logits/rejected": -1.6728878021240234,
379
+ "logps/chosen": -255.2344970703125,
380
+ "logps/rejected": -221.1670684814453,
381
+ "loss": 0.4842,
382
+ "rewards/accuracies": 0.78125,
383
+ "rewards/chosen": 0.09199291467666626,
384
+ "rewards/margins": 1.9209611415863037,
385
+ "rewards/rejected": -1.8289684057235718,
386
+ "step": 115
387
+ },
388
+ {
389
+ "epoch": 0.997920997920998,
390
+ "grad_norm": 41.39067500024576,
391
+ "learning_rate": 7.754484907260512e-07,
392
+ "logits/chosen": -1.7632324695587158,
393
+ "logits/rejected": -1.6800066232681274,
394
+ "logps/chosen": -236.336669921875,
395
+ "logps/rejected": -248.4853515625,
396
+ "loss": 0.4959,
397
+ "rewards/accuracies": 0.75,
398
+ "rewards/chosen": 0.09794483333826065,
399
+ "rewards/margins": 2.035454273223877,
400
+ "rewards/rejected": -1.937509536743164,
401
+ "step": 120
402
+ },
403
+ {
404
+ "epoch": 1.0395010395010396,
405
+ "grad_norm": 18.479902808810362,
406
+ "learning_rate": 7.564496387029531e-07,
407
+ "logits/chosen": -1.835211157798767,
408
+ "logits/rejected": -1.744879126548767,
409
+ "logps/chosen": -246.5315704345703,
410
+ "logps/rejected": -238.4007568359375,
411
+ "loss": 0.2765,
412
+ "rewards/accuracies": 0.9312499761581421,
413
+ "rewards/chosen": 1.2002815008163452,
414
+ "rewards/margins": 3.028635025024414,
415
+ "rewards/rejected": -1.8283536434173584,
416
+ "step": 125
417
+ },
418
+ {
419
+ "epoch": 1.0810810810810811,
420
+ "grad_norm": 20.239636952023396,
421
+ "learning_rate": 7.369343312364993e-07,
422
+ "logits/chosen": -1.8902709484100342,
423
+ "logits/rejected": -1.841406226158142,
424
+ "logps/chosen": -249.97555541992188,
425
+ "logps/rejected": -225.74893188476562,
426
+ "loss": 0.2499,
427
+ "rewards/accuracies": 0.918749988079071,
428
+ "rewards/chosen": 1.3934506177902222,
429
+ "rewards/margins": 3.1044392585754395,
430
+ "rewards/rejected": -1.7109886407852173,
431
+ "step": 130
432
+ },
433
+ {
434
+ "epoch": 1.1226611226611227,
435
+ "grad_norm": 27.020533908406442,
436
+ "learning_rate": 7.16941869558779e-07,
437
+ "logits/chosen": -2.057455062866211,
438
+ "logits/rejected": -2.003194570541382,
439
+ "logps/chosen": -232.67001342773438,
440
+ "logps/rejected": -234.6235809326172,
441
+ "loss": 0.2301,
442
+ "rewards/accuracies": 0.9375,
443
+ "rewards/chosen": 1.6992406845092773,
444
+ "rewards/margins": 3.422689914703369,
445
+ "rewards/rejected": -1.7234487533569336,
446
+ "step": 135
447
+ },
448
+ {
449
+ "epoch": 1.1642411642411643,
450
+ "grad_norm": 22.833931438432327,
451
+ "learning_rate": 6.965125158269618e-07,
452
+ "logits/chosen": -2.0912320613861084,
453
+ "logits/rejected": -2.0458855628967285,
454
+ "logps/chosen": -244.6804656982422,
455
+ "logps/rejected": -225.2838897705078,
456
+ "loss": 0.228,
457
+ "rewards/accuracies": 0.90625,
458
+ "rewards/chosen": 2.007575511932373,
459
+ "rewards/margins": 3.5606026649475098,
460
+ "rewards/rejected": -1.5530271530151367,
461
+ "step": 140
462
+ },
463
+ {
464
+ "epoch": 1.2058212058212059,
465
+ "grad_norm": 19.05547442329841,
466
+ "learning_rate": 6.756874120406714e-07,
467
+ "logits/chosen": -2.0981993675231934,
468
+ "logits/rejected": -2.0623602867126465,
469
+ "logps/chosen": -231.7192840576172,
470
+ "logps/rejected": -239.6023712158203,
471
+ "loss": 0.2467,
472
+ "rewards/accuracies": 0.9375,
473
+ "rewards/chosen": 1.801042914390564,
474
+ "rewards/margins": 3.514739513397217,
475
+ "rewards/rejected": -1.713696837425232,
476
+ "step": 145
477
+ },
478
+ {
479
+ "epoch": 1.2474012474012475,
480
+ "grad_norm": 17.479166649922572,
481
+ "learning_rate": 6.545084971874736e-07,
482
+ "logits/chosen": -2.1294615268707275,
483
+ "logits/rejected": -2.0636110305786133,
484
+ "logps/chosen": -238.5365447998047,
485
+ "logps/rejected": -244.5021514892578,
486
+ "loss": 0.2495,
487
+ "rewards/accuracies": 0.9375,
488
+ "rewards/chosen": 1.3247355222702026,
489
+ "rewards/margins": 3.6321330070495605,
490
+ "rewards/rejected": -2.3073973655700684,
491
+ "step": 150
492
+ },
493
+ {
494
+ "epoch": 1.2474012474012475,
495
+ "eval_logits/chosen": -2.1232447624206543,
496
+ "eval_logits/rejected": -2.0982720851898193,
497
+ "eval_logps/chosen": -240.15695190429688,
498
+ "eval_logps/rejected": -225.6040802001953,
499
+ "eval_loss": 0.5427103042602539,
500
+ "eval_rewards/accuracies": 0.7592592835426331,
501
+ "eval_rewards/chosen": 0.5572175979614258,
502
+ "eval_rewards/margins": 1.9773017168045044,
503
+ "eval_rewards/rejected": -1.4200841188430786,
504
+ "eval_runtime": 227.6445,
505
+ "eval_samples_per_second": 15.023,
506
+ "eval_steps_per_second": 0.237,
507
+ "step": 150
508
+ },
509
+ {
510
+ "epoch": 1.288981288981289,
511
+ "grad_norm": 23.820329780522155,
512
+ "learning_rate": 6.330184227833375e-07,
513
+ "logits/chosen": -2.1582248210906982,
514
+ "logits/rejected": -2.1403584480285645,
515
+ "logps/chosen": -229.8828582763672,
516
+ "logps/rejected": -232.87924194335938,
517
+ "loss": 0.2962,
518
+ "rewards/accuracies": 0.925000011920929,
519
+ "rewards/chosen": 1.5254548788070679,
520
+ "rewards/margins": 3.3456084728240967,
521
+ "rewards/rejected": -1.8201534748077393,
522
+ "step": 155
523
+ },
524
+ {
525
+ "epoch": 1.3305613305613306,
526
+ "grad_norm": 17.670853805471324,
527
+ "learning_rate": 6.112604669781572e-07,
528
+ "logits/chosen": -2.1896843910217285,
529
+ "logits/rejected": -2.151392698287964,
530
+ "logps/chosen": -246.44552612304688,
531
+ "logps/rejected": -224.73641967773438,
532
+ "loss": 0.2666,
533
+ "rewards/accuracies": 0.9125000238418579,
534
+ "rewards/chosen": 1.2775523662567139,
535
+ "rewards/margins": 3.355015516281128,
536
+ "rewards/rejected": -2.077463150024414,
537
+ "step": 160
538
+ },
539
+ {
540
+ "epoch": 1.3721413721413722,
541
+ "grad_norm": 19.884309338358804,
542
+ "learning_rate": 5.892784473993183e-07,
543
+ "logits/chosen": -2.1978659629821777,
544
+ "logits/rejected": -2.139770984649658,
545
+ "logps/chosen": -244.56283569335938,
546
+ "logps/rejected": -235.612060546875,
547
+ "loss": 0.2784,
548
+ "rewards/accuracies": 0.956250011920929,
549
+ "rewards/chosen": 1.9508459568023682,
550
+ "rewards/margins": 3.806994676589966,
551
+ "rewards/rejected": -1.8561484813690186,
552
+ "step": 165
553
+ },
554
+ {
555
+ "epoch": 1.4137214137214138,
556
+ "grad_norm": 21.536221614158325,
557
+ "learning_rate": 5.671166329088277e-07,
558
+ "logits/chosen": -2.159837245941162,
559
+ "logits/rejected": -2.1259591579437256,
560
+ "logps/chosen": -235.0163116455078,
561
+ "logps/rejected": -240.001953125,
562
+ "loss": 0.2998,
563
+ "rewards/accuracies": 0.893750011920929,
564
+ "rewards/chosen": 1.634421944618225,
565
+ "rewards/margins": 3.504880428314209,
566
+ "rewards/rejected": -1.870458960533142,
567
+ "step": 170
568
+ },
569
+ {
570
+ "epoch": 1.4553014553014554,
571
+ "grad_norm": 19.683343698848628,
572
+ "learning_rate": 5.448196544517167e-07,
573
+ "logits/chosen": -2.1057746410369873,
574
+ "logits/rejected": -2.0693142414093018,
575
+ "logps/chosen": -242.95492553710938,
576
+ "logps/rejected": -222.35372924804688,
577
+ "loss": 0.2881,
578
+ "rewards/accuracies": 0.9312499761581421,
579
+ "rewards/chosen": 1.408005952835083,
580
+ "rewards/margins": 3.477801561355591,
581
+ "rewards/rejected": -2.069795846939087,
582
+ "step": 175
583
+ },
584
+ {
585
+ "epoch": 1.496881496881497,
586
+ "grad_norm": 23.26853368506061,
587
+ "learning_rate": 5.224324151752575e-07,
588
+ "logits/chosen": -2.0776679515838623,
589
+ "logits/rejected": -2.0356287956237793,
590
+ "logps/chosen": -252.8184356689453,
591
+ "logps/rejected": -263.45013427734375,
592
+ "loss": 0.2876,
593
+ "rewards/accuracies": 0.887499988079071,
594
+ "rewards/chosen": 1.3347493410110474,
595
+ "rewards/margins": 3.841991901397705,
596
+ "rewards/rejected": -2.5072426795959473,
597
+ "step": 180
598
+ },
599
+ {
600
+ "epoch": 1.5384615384615383,
601
+ "grad_norm": 19.309579616953823,
602
+ "learning_rate": 5e-07,
603
+ "logits/chosen": -2.0446431636810303,
604
+ "logits/rejected": -1.985939621925354,
605
+ "logps/chosen": -235.72598266601562,
606
+ "logps/rejected": -258.97344970703125,
607
+ "loss": 0.2758,
608
+ "rewards/accuracies": 0.887499988079071,
609
+ "rewards/chosen": 1.3530393838882446,
610
+ "rewards/margins": 3.8046765327453613,
611
+ "rewards/rejected": -2.451636791229248,
612
+ "step": 185
613
+ },
614
+ {
615
+ "epoch": 1.5800415800415801,
616
+ "grad_norm": 18.625040552548324,
617
+ "learning_rate": 4.775675848247427e-07,
618
+ "logits/chosen": -2.0644099712371826,
619
+ "logits/rejected": -2.0216641426086426,
620
+ "logps/chosen": -241.5558624267578,
621
+ "logps/rejected": -263.6393737792969,
622
+ "loss": 0.292,
623
+ "rewards/accuracies": 0.887499988079071,
624
+ "rewards/chosen": 1.0546023845672607,
625
+ "rewards/margins": 3.451650619506836,
626
+ "rewards/rejected": -2.397047996520996,
627
+ "step": 190
628
+ },
629
+ {
630
+ "epoch": 1.6216216216216215,
631
+ "grad_norm": 25.624591590300348,
632
+ "learning_rate": 4.5518034554828327e-07,
633
+ "logits/chosen": -2.0048115253448486,
634
+ "logits/rejected": -1.9765331745147705,
635
+ "logps/chosen": -227.64968872070312,
636
+ "logps/rejected": -238.43795776367188,
637
+ "loss": 0.2831,
638
+ "rewards/accuracies": 0.887499988079071,
639
+ "rewards/chosen": 1.2037407159805298,
640
+ "rewards/margins": 3.231950044631958,
641
+ "rewards/rejected": -2.0282092094421387,
642
+ "step": 195
643
+ },
644
+ {
645
+ "epoch": 1.6632016632016633,
646
+ "grad_norm": 18.88665153638521,
647
+ "learning_rate": 4.328833670911724e-07,
648
+ "logits/chosen": -2.0011658668518066,
649
+ "logits/rejected": -1.9661411046981812,
650
+ "logps/chosen": -240.28115844726562,
651
+ "logps/rejected": -233.8397674560547,
652
+ "loss": 0.2753,
653
+ "rewards/accuracies": 0.918749988079071,
654
+ "rewards/chosen": 1.5664188861846924,
655
+ "rewards/margins": 3.7791213989257812,
656
+ "rewards/rejected": -2.212702512741089,
657
+ "step": 200
658
+ },
659
+ {
660
+ "epoch": 1.6632016632016633,
661
+ "eval_logits/chosen": -2.0067989826202393,
662
+ "eval_logits/rejected": -1.9752123355865479,
663
+ "eval_logps/chosen": -239.95291137695312,
664
+ "eval_logps/rejected": -228.13818359375,
665
+ "eval_loss": 0.5260343551635742,
666
+ "eval_rewards/accuracies": 0.7870370149612427,
667
+ "eval_rewards/chosen": 0.5776218175888062,
668
+ "eval_rewards/margins": 2.2511181831359863,
669
+ "eval_rewards/rejected": -1.6734964847564697,
670
+ "eval_runtime": 227.8787,
671
+ "eval_samples_per_second": 15.008,
672
+ "eval_steps_per_second": 0.237,
673
+ "step": 200
674
+ }
675
+ ],
676
+ "logging_steps": 5,
677
+ "max_steps": 360,
678
+ "num_input_tokens_seen": 0,
679
+ "num_train_epochs": 3,
680
+ "save_steps": 100,
681
+ "stateful_callbacks": {
682
+ "TrainerControl": {
683
+ "args": {
684
+ "should_epoch_stop": false,
685
+ "should_evaluate": false,
686
+ "should_log": false,
687
+ "should_save": true,
688
+ "should_training_stop": false
689
+ },
690
+ "attributes": {}
691
+ }
692
+ },
693
+ "total_flos": 2358113407598592.0,
694
+ "train_batch_size": 8,
695
+ "trial_name": null,
696
+ "trial_params": null
697
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56299ad062d8576ff41b740c46d652e74acb87f455a7c87b3704f2671b07aaf8
3
+ size 7096
checkpoint-300/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-300/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }
checkpoint-300/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.45.2"
6
+ }
checkpoint-300/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b38814c627e38a21194d156ea9e742ffaa7383353d289ff30b3a4c4301f9ce77
3
+ size 4921618624
checkpoint-300/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c9c49cd904d809fe5731ec48876f45255a986c3567b29aea2679e3eb0e950d3
3
+ size 4915917672
checkpoint-300/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24da67ba728acbf724a1724ba324fb4bb3cc9ce2251262c0970bc83f3c8608f1
3
+ size 4915917680
checkpoint-300/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3534048db86ebd1348ac7b6abdb27e79a119352cd2090af8ec0ff433617bed76
3
+ size 380134008
checkpoint-300/model.safetensors.index.json ADDED
@@ -0,0 +1,694 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15133495296
4
+ },
5
+ "weight_map": {
6
+ "image_newline": "model-00001-of-00004.safetensors",
7
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
28
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
29
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
30
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
31
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "language_model.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
33
+ "language_model.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
34
+ "language_model.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
35
+ "language_model.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
36
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
118
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
119
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
120
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
121
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
122
+ "language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
123
+ "language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
124
+ "language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
125
+ "language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
126
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
127
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
128
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
130
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
131
+ "language_model.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
136
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
137
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
138
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
139
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
140
+ "language_model.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
142
+ "language_model.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
168
+ "language_model.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
169
+ "language_model.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
170
+ "language_model.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
171
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
172
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
173
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
174
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
175
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
176
+ "language_model.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
177
+ "language_model.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
178
+ "language_model.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
179
+ "language_model.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
180
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
217
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
218
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
219
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
220
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
221
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
222
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
223
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
224
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
225
+ "language_model.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
235
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
236
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
239
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
244
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
245
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
246
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
247
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
248
+ "language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
249
+ "language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
250
+ "language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
251
+ "language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
252
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
253
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
254
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
255
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
256
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
257
+ "language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
258
+ "language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
259
+ "language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
260
+ "language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
261
+ "language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
269
+ "language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
270
+ "language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
271
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
272
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
273
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
274
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
275
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
276
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
277
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
278
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
279
+ "language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
280
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
281
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
282
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
283
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
284
+ "language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
285
+ "language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
286
+ "language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
287
+ "language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
288
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
290
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
291
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
292
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
293
+ "language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
294
+ "language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
295
+ "language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
296
+ "language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
298
+ "multi_modal_projector.linear_1.bias": "model-00001-of-00004.safetensors",
299
+ "multi_modal_projector.linear_1.weight": "model-00001-of-00004.safetensors",
300
+ "multi_modal_projector.linear_2.bias": "model-00001-of-00004.safetensors",
301
+ "multi_modal_projector.linear_2.weight": "model-00001-of-00004.safetensors",
302
+ "vision_tower.vision_model.embeddings.class_embedding": "model-00001-of-00004.safetensors",
303
+ "vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00004.safetensors",
304
+ "vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00004.safetensors",
305
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00004.safetensors",
306
+ "vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00004.safetensors",
307
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00004.safetensors",
308
+ "vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00004.safetensors",
309
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00004.safetensors",
310
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00004.safetensors",
311
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00004.safetensors",
312
+ "vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00004.safetensors",
313
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
316
+ "vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
317
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00004.safetensors",
322
+ "vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00004.safetensors",
323
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00004.safetensors",
324
+ "vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00004.safetensors",
325
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00004.safetensors",
326
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00004.safetensors",
327
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00004.safetensors",
328
+ "vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00004.safetensors",
329
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
330
+ "vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
331
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
332
+ "vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
333
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
334
+ "vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
335
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
336
+ "vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
337
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00004.safetensors",
338
+ "vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00004.safetensors",
339
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00004.safetensors",
340
+ "vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00004.safetensors",
341
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00004.safetensors",
342
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00004.safetensors",
343
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00004.safetensors",
344
+ "vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00004.safetensors",
345
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
346
+ "vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
347
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
348
+ "vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
349
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
350
+ "vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
351
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
352
+ "vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
353
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00004.safetensors",
354
+ "vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00004.safetensors",
355
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00004.safetensors",
356
+ "vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00004.safetensors",
357
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00004.safetensors",
358
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00004.safetensors",
359
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00004.safetensors",
360
+ "vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00004.safetensors",
361
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
364
+ "vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
365
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
366
+ "vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
367
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
368
+ "vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
369
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00004.safetensors",
370
+ "vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00004.safetensors",
371
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00004.safetensors",
372
+ "vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00004.safetensors",
373
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00004.safetensors",
374
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00004.safetensors",
375
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00004.safetensors",
376
+ "vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00004.safetensors",
377
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
378
+ "vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
380
+ "vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
381
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
382
+ "vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
383
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
384
+ "vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
385
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00004.safetensors",
386
+ "vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00004.safetensors",
387
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00004.safetensors",
388
+ "vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00004.safetensors",
389
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00004.safetensors",
390
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00004.safetensors",
391
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00004.safetensors",
392
+ "vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00004.safetensors",
393
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
394
+ "vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
395
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
396
+ "vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
397
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
398
+ "vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
399
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
400
+ "vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
401
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00004.safetensors",
402
+ "vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00004.safetensors",
403
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00004.safetensors",
404
+ "vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00004.safetensors",
405
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00004.safetensors",
406
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00004.safetensors",
407
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00004.safetensors",
408
+ "vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00004.safetensors",
409
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
410
+ "vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
411
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
412
+ "vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
413
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
414
+ "vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
415
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
416
+ "vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
417
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00004.safetensors",
418
+ "vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00004.safetensors",
419
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00004.safetensors",
420
+ "vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00004.safetensors",
421
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00004.safetensors",
422
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00004.safetensors",
423
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00004.safetensors",
424
+ "vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00004.safetensors",
425
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
426
+ "vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
427
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
428
+ "vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
429
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
430
+ "vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
431
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
432
+ "vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
433
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.vision_model.pre_layrnorm.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.vision_model.pre_layrnorm.weight": "model-00001-of-00004.safetensors"
693
+ }
694
+ }
checkpoint-300/preprocessor_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "aspect_ratio_setting": "anyres",
3
+ "crop_size": {
4
+ "height": 336,
5
+ "width": 336
6
+ },
7
+ "do_center_crop": true,
8
+ "do_convert_rgb": true,
9
+ "do_normalize": true,
10
+ "do_pad": true,
11
+ "do_rescale": true,
12
+ "do_resize": true,
13
+ "image_grid_pinpoints": [
14
+ [
15
+ 336,
16
+ 672
17
+ ],
18
+ [
19
+ 672,
20
+ 336
21
+ ],
22
+ [
23
+ 672,
24
+ 672
25
+ ],
26
+ [
27
+ 1008,
28
+ 336
29
+ ],
30
+ [
31
+ 336,
32
+ 1008
33
+ ]
34
+ ],
35
+ "image_mean": [
36
+ 0.48145466,
37
+ 0.4578275,
38
+ 0.40821073
39
+ ],
40
+ "image_processor_type": "LlavaNextImageProcessor",
41
+ "image_std": [
42
+ 0.26862954,
43
+ 0.26130258,
44
+ 0.27577711
45
+ ],
46
+ "processor_class": "LlavaNextProcessor",
47
+ "resample": 3,
48
+ "rescale_factor": 0.00392156862745098,
49
+ "size": {
50
+ "shortest_edge": 336
51
+ }
52
+ }
checkpoint-300/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
checkpoint-300/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-300/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-300/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<image>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<pad>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '`[INST] `' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "</s>",
52
+ "extra_special_tokens": {
53
+ "image_token": "<image>"
54
+ },
55
+ "image_token": "<image>",
56
+ "legacy": true,
57
+ "max_length": null,
58
+ "model_max_length": 1000000000000000019884624838656,
59
+ "pad_to_multiple_of": null,
60
+ "pad_token": "<pad>",
61
+ "pad_token_type_id": 0,
62
+ "padding_side": "right",
63
+ "processor_class": "LlavaNextProcessor",
64
+ "sp_model_kwargs": {},
65
+ "spaces_between_special_tokens": false,
66
+ "split_special_tokens": false,
67
+ "tokenizer_class": "LlamaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
checkpoint-300/trainer_state.json ADDED
@@ -0,0 +1,1029 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.494802494802495,
5
+ "eval_steps": 50,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04158004158004158,
13
+ "grad_norm": 57.63412014296559,
14
+ "learning_rate": 5e-07,
15
+ "logits/chosen": -2.7145180702209473,
16
+ "logits/rejected": -2.7382097244262695,
17
+ "logps/chosen": -265.24481201171875,
18
+ "logps/rejected": -201.1150665283203,
19
+ "loss": 0.6915,
20
+ "rewards/accuracies": 0.375,
21
+ "rewards/chosen": 0.01524554193019867,
22
+ "rewards/margins": 0.008573563769459724,
23
+ "rewards/rejected": 0.006671978626400232,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.08316008316008316,
28
+ "grad_norm": 52.91443405505758,
29
+ "learning_rate": 1e-06,
30
+ "logits/chosen": -2.690777063369751,
31
+ "logits/rejected": -2.689495325088501,
32
+ "logps/chosen": -259.32598876953125,
33
+ "logps/rejected": -236.3219757080078,
34
+ "loss": 0.6616,
35
+ "rewards/accuracies": 0.6312500238418579,
36
+ "rewards/chosen": 0.4881957471370697,
37
+ "rewards/margins": 0.10135326534509659,
38
+ "rewards/rejected": 0.3868425786495209,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.12474012474012475,
43
+ "grad_norm": 53.28329333963272,
44
+ "learning_rate": 9.994965332706572e-07,
45
+ "logits/chosen": -2.5831141471862793,
46
+ "logits/rejected": -2.580876350402832,
47
+ "logps/chosen": -237.8153839111328,
48
+ "logps/rejected": -192.7242889404297,
49
+ "loss": 0.6359,
50
+ "rewards/accuracies": 0.6875,
51
+ "rewards/chosen": 1.1336857080459595,
52
+ "rewards/margins": 0.47578057646751404,
53
+ "rewards/rejected": 0.6579049825668335,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.16632016632016633,
58
+ "grad_norm": 59.51771261732688,
59
+ "learning_rate": 9.979871469976195e-07,
60
+ "logits/chosen": -2.5097970962524414,
61
+ "logits/rejected": -2.491774797439575,
62
+ "logps/chosen": -241.24349975585938,
63
+ "logps/rejected": -206.7909698486328,
64
+ "loss": 0.6385,
65
+ "rewards/accuracies": 0.6875,
66
+ "rewards/chosen": 1.5591249465942383,
67
+ "rewards/margins": 0.980699896812439,
68
+ "rewards/rejected": 0.5784249305725098,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.2079002079002079,
73
+ "grad_norm": 43.932979300169734,
74
+ "learning_rate": 9.954748808839674e-07,
75
+ "logits/chosen": -2.428896427154541,
76
+ "logits/rejected": -2.426640510559082,
77
+ "logps/chosen": -260.3008117675781,
78
+ "logps/rejected": -223.4193878173828,
79
+ "loss": 0.6287,
80
+ "rewards/accuracies": 0.6499999761581421,
81
+ "rewards/chosen": 1.4255732297897339,
82
+ "rewards/margins": 0.9219636917114258,
83
+ "rewards/rejected": 0.5036097764968872,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.2494802494802495,
88
+ "grad_norm": 51.9520224365334,
89
+ "learning_rate": 9.919647942993147e-07,
90
+ "logits/chosen": -2.270231008529663,
91
+ "logits/rejected": -2.2373533248901367,
92
+ "logps/chosen": -239.1925811767578,
93
+ "logps/rejected": -199.03244018554688,
94
+ "loss": 0.6013,
95
+ "rewards/accuracies": 0.675000011920929,
96
+ "rewards/chosen": 1.0962295532226562,
97
+ "rewards/margins": 0.8090855479240417,
98
+ "rewards/rejected": 0.28714415431022644,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.2910602910602911,
103
+ "grad_norm": 42.07074967218912,
104
+ "learning_rate": 9.874639560909118e-07,
105
+ "logits/chosen": -2.2837703227996826,
106
+ "logits/rejected": -2.2773120403289795,
107
+ "logps/chosen": -245.8435516357422,
108
+ "logps/rejected": -218.3318328857422,
109
+ "loss": 0.5782,
110
+ "rewards/accuracies": 0.6812499761581421,
111
+ "rewards/chosen": 0.842710018157959,
112
+ "rewards/margins": 0.7606425285339355,
113
+ "rewards/rejected": 0.08206750452518463,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.33264033264033266,
118
+ "grad_norm": 40.52902304303911,
119
+ "learning_rate": 9.819814303479267e-07,
120
+ "logits/chosen": -2.3677680492401123,
121
+ "logits/rejected": -2.3257031440734863,
122
+ "logps/chosen": -255.2162322998047,
123
+ "logps/rejected": -206.1927490234375,
124
+ "loss": 0.5732,
125
+ "rewards/accuracies": 0.762499988079071,
126
+ "rewards/chosen": 0.774177610874176,
127
+ "rewards/margins": 0.9143842458724976,
128
+ "rewards/rejected": -0.14020657539367676,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.37422037422037424,
133
+ "grad_norm": 42.34370895122762,
134
+ "learning_rate": 9.755282581475767e-07,
135
+ "logits/chosen": -2.39888596534729,
136
+ "logits/rejected": -2.3836829662323,
137
+ "logps/chosen": -237.30508422851562,
138
+ "logps/rejected": -216.06588745117188,
139
+ "loss": 0.5958,
140
+ "rewards/accuracies": 0.75,
141
+ "rewards/chosen": 0.7707290649414062,
142
+ "rewards/margins": 1.1094779968261719,
143
+ "rewards/rejected": -0.3387489914894104,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.4158004158004158,
148
+ "grad_norm": 46.42422960165206,
149
+ "learning_rate": 9.681174353198686e-07,
150
+ "logits/chosen": -2.3984861373901367,
151
+ "logits/rejected": -2.3900020122528076,
152
+ "logps/chosen": -233.5660400390625,
153
+ "logps/rejected": -216.6641082763672,
154
+ "loss": 0.635,
155
+ "rewards/accuracies": 0.7437499761581421,
156
+ "rewards/chosen": 0.9606113433837891,
157
+ "rewards/margins": 1.124942660331726,
158
+ "rewards/rejected": -0.16433146595954895,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.4158004158004158,
163
+ "eval_logits/chosen": -2.3899078369140625,
164
+ "eval_logits/rejected": -2.3907740116119385,
165
+ "eval_logps/chosen": -237.2779541015625,
166
+ "eval_logps/rejected": -211.79153442382812,
167
+ "eval_loss": 0.598716676235199,
168
+ "eval_rewards/accuracies": 0.7013888955116272,
169
+ "eval_rewards/chosen": 0.8451206684112549,
170
+ "eval_rewards/margins": 0.8839507102966309,
171
+ "eval_rewards/rejected": -0.038830023258924484,
172
+ "eval_runtime": 229.0134,
173
+ "eval_samples_per_second": 14.934,
174
+ "eval_steps_per_second": 0.236,
175
+ "step": 50
176
+ },
177
+ {
178
+ "epoch": 0.4573804573804574,
179
+ "grad_norm": 38.39211344385862,
180
+ "learning_rate": 9.597638862757253e-07,
181
+ "logits/chosen": -2.456921339035034,
182
+ "logits/rejected": -2.4394099712371826,
183
+ "logps/chosen": -237.6243133544922,
184
+ "logps/rejected": -233.6071014404297,
185
+ "loss": 0.6009,
186
+ "rewards/accuracies": 0.762499988079071,
187
+ "rewards/chosen": 0.8705752491950989,
188
+ "rewards/margins": 1.126349687576294,
189
+ "rewards/rejected": -0.2557744085788727,
190
+ "step": 55
191
+ },
192
+ {
193
+ "epoch": 0.498960498960499,
194
+ "grad_norm": 37.3024427630972,
195
+ "learning_rate": 9.504844339512094e-07,
196
+ "logits/chosen": -2.521387815475464,
197
+ "logits/rejected": -2.4951186180114746,
198
+ "logps/chosen": -266.1732177734375,
199
+ "logps/rejected": -242.85897827148438,
200
+ "loss": 0.554,
201
+ "rewards/accuracies": 0.7437499761581421,
202
+ "rewards/chosen": 0.9916666150093079,
203
+ "rewards/margins": 1.3694941997528076,
204
+ "rewards/rejected": -0.3778277039527893,
205
+ "step": 60
206
+ },
207
+ {
208
+ "epoch": 0.5405405405405406,
209
+ "grad_norm": 34.5258394053866,
210
+ "learning_rate": 9.402977659283689e-07,
211
+ "logits/chosen": -2.4310925006866455,
212
+ "logits/rejected": -2.4042844772338867,
213
+ "logps/chosen": -223.9085693359375,
214
+ "logps/rejected": -203.2917022705078,
215
+ "loss": 0.5364,
216
+ "rewards/accuracies": 0.6625000238418579,
217
+ "rewards/chosen": 0.5567647814750671,
218
+ "rewards/margins": 0.8208805918693542,
219
+ "rewards/rejected": -0.26411566138267517,
220
+ "step": 65
221
+ },
222
+ {
223
+ "epoch": 0.5821205821205822,
224
+ "grad_norm": 37.746071231755344,
225
+ "learning_rate": 9.29224396800933e-07,
226
+ "logits/chosen": -2.3321871757507324,
227
+ "logits/rejected": -2.2954535484313965,
228
+ "logps/chosen": -243.26156616210938,
229
+ "logps/rejected": -226.8199005126953,
230
+ "loss": 0.5423,
231
+ "rewards/accuracies": 0.7749999761581421,
232
+ "rewards/chosen": 0.38314875960350037,
233
+ "rewards/margins": 1.1013362407684326,
234
+ "rewards/rejected": -0.7181875109672546,
235
+ "step": 70
236
+ },
237
+ {
238
+ "epoch": 0.6237006237006237,
239
+ "grad_norm": 57.07804647920337,
240
+ "learning_rate": 9.172866268606513e-07,
241
+ "logits/chosen": -2.26948881149292,
242
+ "logits/rejected": -2.2403252124786377,
243
+ "logps/chosen": -251.2090606689453,
244
+ "logps/rejected": -240.20169067382812,
245
+ "loss": 0.5844,
246
+ "rewards/accuracies": 0.7562500238418579,
247
+ "rewards/chosen": 0.9941379427909851,
248
+ "rewards/margins": 1.1448538303375244,
249
+ "rewards/rejected": -0.1507158726453781,
250
+ "step": 75
251
+ },
252
+ {
253
+ "epoch": 0.6652806652806653,
254
+ "grad_norm": 36.48822907311496,
255
+ "learning_rate": 9.045084971874737e-07,
256
+ "logits/chosen": -2.212411403656006,
257
+ "logits/rejected": -2.1935043334960938,
258
+ "logps/chosen": -272.8021545410156,
259
+ "logps/rejected": -241.2564239501953,
260
+ "loss": 0.5453,
261
+ "rewards/accuracies": 0.78125,
262
+ "rewards/chosen": 1.1616096496582031,
263
+ "rewards/margins": 1.850441336631775,
264
+ "rewards/rejected": -0.6888317465782166,
265
+ "step": 80
266
+ },
267
+ {
268
+ "epoch": 0.7068607068607069,
269
+ "grad_norm": 38.5389032336389,
270
+ "learning_rate": 8.909157412340149e-07,
271
+ "logits/chosen": -2.180285930633545,
272
+ "logits/rejected": -2.126051902770996,
273
+ "logps/chosen": -253.0643310546875,
274
+ "logps/rejected": -237.400390625,
275
+ "loss": 0.5269,
276
+ "rewards/accuracies": 0.75,
277
+ "rewards/chosen": 0.9046308398246765,
278
+ "rewards/margins": 1.5041005611419678,
279
+ "rewards/rejected": -0.599469780921936,
280
+ "step": 85
281
+ },
282
+ {
283
+ "epoch": 0.7484407484407485,
284
+ "grad_norm": 31.08445554774815,
285
+ "learning_rate": 8.765357330018055e-07,
286
+ "logits/chosen": -2.146207332611084,
287
+ "logits/rejected": -2.1198434829711914,
288
+ "logps/chosen": -246.0504608154297,
289
+ "logps/rejected": -242.79714965820312,
290
+ "loss": 0.5741,
291
+ "rewards/accuracies": 0.7749999761581421,
292
+ "rewards/chosen": 0.4694552421569824,
293
+ "rewards/margins": 1.537427544593811,
294
+ "rewards/rejected": -1.0679724216461182,
295
+ "step": 90
296
+ },
297
+ {
298
+ "epoch": 0.7900207900207901,
299
+ "grad_norm": 32.25150255167185,
300
+ "learning_rate": 8.613974319136957e-07,
301
+ "logits/chosen": -2.114973306655884,
302
+ "logits/rejected": -2.0754525661468506,
303
+ "logps/chosen": -249.64132690429688,
304
+ "logps/rejected": -233.89352416992188,
305
+ "loss": 0.4787,
306
+ "rewards/accuracies": 0.7437499761581421,
307
+ "rewards/chosen": -0.09324260801076889,
308
+ "rewards/margins": 1.446690320968628,
309
+ "rewards/rejected": -1.5399329662322998,
310
+ "step": 95
311
+ },
312
+ {
313
+ "epoch": 0.8316008316008316,
314
+ "grad_norm": 34.22313791470385,
315
+ "learning_rate": 8.455313244934324e-07,
316
+ "logits/chosen": -2.027057409286499,
317
+ "logits/rejected": -1.9819841384887695,
318
+ "logps/chosen": -250.86947631835938,
319
+ "logps/rejected": -241.2573699951172,
320
+ "loss": 0.4933,
321
+ "rewards/accuracies": 0.8187500238418579,
322
+ "rewards/chosen": 0.10764148086309433,
323
+ "rewards/margins": 1.9850435256958008,
324
+ "rewards/rejected": -1.8774023056030273,
325
+ "step": 100
326
+ },
327
+ {
328
+ "epoch": 0.8316008316008316,
329
+ "eval_logits/chosen": -1.9530320167541504,
330
+ "eval_logits/rejected": -1.9127507209777832,
331
+ "eval_logps/chosen": -247.99232482910156,
332
+ "eval_logps/rejected": -229.55447387695312,
333
+ "eval_loss": 0.5284922122955322,
334
+ "eval_rewards/accuracies": 0.7523148059844971,
335
+ "eval_rewards/chosen": -0.22631923854351044,
336
+ "eval_rewards/margins": 1.5888041257858276,
337
+ "eval_rewards/rejected": -1.815123438835144,
338
+ "eval_runtime": 227.9451,
339
+ "eval_samples_per_second": 15.004,
340
+ "eval_steps_per_second": 0.237,
341
+ "step": 100
342
+ },
343
+ {
344
+ "epoch": 0.8731808731808732,
345
+ "grad_norm": 43.67585736596051,
346
+ "learning_rate": 8.289693629698563e-07,
347
+ "logits/chosen": -1.952876329421997,
348
+ "logits/rejected": -1.9095561504364014,
349
+ "logps/chosen": -250.580322265625,
350
+ "logps/rejected": -255.4891357421875,
351
+ "loss": 0.5324,
352
+ "rewards/accuracies": 0.71875,
353
+ "rewards/chosen": -0.0729295164346695,
354
+ "rewards/margins": 1.8105415105819702,
355
+ "rewards/rejected": -1.8834712505340576,
356
+ "step": 105
357
+ },
358
+ {
359
+ "epoch": 0.9147609147609148,
360
+ "grad_norm": 39.1719273308311,
361
+ "learning_rate": 8.117449009293668e-07,
362
+ "logits/chosen": -1.8559868335723877,
363
+ "logits/rejected": -1.799195647239685,
364
+ "logps/chosen": -248.75961303710938,
365
+ "logps/rejected": -232.480712890625,
366
+ "loss": 0.4943,
367
+ "rewards/accuracies": 0.75,
368
+ "rewards/chosen": 0.30641165375709534,
369
+ "rewards/margins": 1.7232319116592407,
370
+ "rewards/rejected": -1.4168202877044678,
371
+ "step": 110
372
+ },
373
+ {
374
+ "epoch": 0.9563409563409564,
375
+ "grad_norm": 30.704674411877335,
376
+ "learning_rate": 7.938926261462365e-07,
377
+ "logits/chosen": -1.7355577945709229,
378
+ "logits/rejected": -1.6728878021240234,
379
+ "logps/chosen": -255.2344970703125,
380
+ "logps/rejected": -221.1670684814453,
381
+ "loss": 0.4842,
382
+ "rewards/accuracies": 0.78125,
383
+ "rewards/chosen": 0.09199291467666626,
384
+ "rewards/margins": 1.9209611415863037,
385
+ "rewards/rejected": -1.8289684057235718,
386
+ "step": 115
387
+ },
388
+ {
389
+ "epoch": 0.997920997920998,
390
+ "grad_norm": 41.39067500024576,
391
+ "learning_rate": 7.754484907260512e-07,
392
+ "logits/chosen": -1.7632324695587158,
393
+ "logits/rejected": -1.6800066232681274,
394
+ "logps/chosen": -236.336669921875,
395
+ "logps/rejected": -248.4853515625,
396
+ "loss": 0.4959,
397
+ "rewards/accuracies": 0.75,
398
+ "rewards/chosen": 0.09794483333826065,
399
+ "rewards/margins": 2.035454273223877,
400
+ "rewards/rejected": -1.937509536743164,
401
+ "step": 120
402
+ },
403
+ {
404
+ "epoch": 1.0395010395010396,
405
+ "grad_norm": 18.479902808810362,
406
+ "learning_rate": 7.564496387029531e-07,
407
+ "logits/chosen": -1.835211157798767,
408
+ "logits/rejected": -1.744879126548767,
409
+ "logps/chosen": -246.5315704345703,
410
+ "logps/rejected": -238.4007568359375,
411
+ "loss": 0.2765,
412
+ "rewards/accuracies": 0.9312499761581421,
413
+ "rewards/chosen": 1.2002815008163452,
414
+ "rewards/margins": 3.028635025024414,
415
+ "rewards/rejected": -1.8283536434173584,
416
+ "step": 125
417
+ },
418
+ {
419
+ "epoch": 1.0810810810810811,
420
+ "grad_norm": 20.239636952023396,
421
+ "learning_rate": 7.369343312364993e-07,
422
+ "logits/chosen": -1.8902709484100342,
423
+ "logits/rejected": -1.841406226158142,
424
+ "logps/chosen": -249.97555541992188,
425
+ "logps/rejected": -225.74893188476562,
426
+ "loss": 0.2499,
427
+ "rewards/accuracies": 0.918749988079071,
428
+ "rewards/chosen": 1.3934506177902222,
429
+ "rewards/margins": 3.1044392585754395,
430
+ "rewards/rejected": -1.7109886407852173,
431
+ "step": 130
432
+ },
433
+ {
434
+ "epoch": 1.1226611226611227,
435
+ "grad_norm": 27.020533908406442,
436
+ "learning_rate": 7.16941869558779e-07,
437
+ "logits/chosen": -2.057455062866211,
438
+ "logits/rejected": -2.003194570541382,
439
+ "logps/chosen": -232.67001342773438,
440
+ "logps/rejected": -234.6235809326172,
441
+ "loss": 0.2301,
442
+ "rewards/accuracies": 0.9375,
443
+ "rewards/chosen": 1.6992406845092773,
444
+ "rewards/margins": 3.422689914703369,
445
+ "rewards/rejected": -1.7234487533569336,
446
+ "step": 135
447
+ },
448
+ {
449
+ "epoch": 1.1642411642411643,
450
+ "grad_norm": 22.833931438432327,
451
+ "learning_rate": 6.965125158269618e-07,
452
+ "logits/chosen": -2.0912320613861084,
453
+ "logits/rejected": -2.0458855628967285,
454
+ "logps/chosen": -244.6804656982422,
455
+ "logps/rejected": -225.2838897705078,
456
+ "loss": 0.228,
457
+ "rewards/accuracies": 0.90625,
458
+ "rewards/chosen": 2.007575511932373,
459
+ "rewards/margins": 3.5606026649475098,
460
+ "rewards/rejected": -1.5530271530151367,
461
+ "step": 140
462
+ },
463
+ {
464
+ "epoch": 1.2058212058212059,
465
+ "grad_norm": 19.05547442329841,
466
+ "learning_rate": 6.756874120406714e-07,
467
+ "logits/chosen": -2.0981993675231934,
468
+ "logits/rejected": -2.0623602867126465,
469
+ "logps/chosen": -231.7192840576172,
470
+ "logps/rejected": -239.6023712158203,
471
+ "loss": 0.2467,
472
+ "rewards/accuracies": 0.9375,
473
+ "rewards/chosen": 1.801042914390564,
474
+ "rewards/margins": 3.514739513397217,
475
+ "rewards/rejected": -1.713696837425232,
476
+ "step": 145
477
+ },
478
+ {
479
+ "epoch": 1.2474012474012475,
480
+ "grad_norm": 17.479166649922572,
481
+ "learning_rate": 6.545084971874736e-07,
482
+ "logits/chosen": -2.1294615268707275,
483
+ "logits/rejected": -2.0636110305786133,
484
+ "logps/chosen": -238.5365447998047,
485
+ "logps/rejected": -244.5021514892578,
486
+ "loss": 0.2495,
487
+ "rewards/accuracies": 0.9375,
488
+ "rewards/chosen": 1.3247355222702026,
489
+ "rewards/margins": 3.6321330070495605,
490
+ "rewards/rejected": -2.3073973655700684,
491
+ "step": 150
492
+ },
493
+ {
494
+ "epoch": 1.2474012474012475,
495
+ "eval_logits/chosen": -2.1232447624206543,
496
+ "eval_logits/rejected": -2.0982720851898193,
497
+ "eval_logps/chosen": -240.15695190429688,
498
+ "eval_logps/rejected": -225.6040802001953,
499
+ "eval_loss": 0.5427103042602539,
500
+ "eval_rewards/accuracies": 0.7592592835426331,
501
+ "eval_rewards/chosen": 0.5572175979614258,
502
+ "eval_rewards/margins": 1.9773017168045044,
503
+ "eval_rewards/rejected": -1.4200841188430786,
504
+ "eval_runtime": 227.6445,
505
+ "eval_samples_per_second": 15.023,
506
+ "eval_steps_per_second": 0.237,
507
+ "step": 150
508
+ },
509
+ {
510
+ "epoch": 1.288981288981289,
511
+ "grad_norm": 23.820329780522155,
512
+ "learning_rate": 6.330184227833375e-07,
513
+ "logits/chosen": -2.1582248210906982,
514
+ "logits/rejected": -2.1403584480285645,
515
+ "logps/chosen": -229.8828582763672,
516
+ "logps/rejected": -232.87924194335938,
517
+ "loss": 0.2962,
518
+ "rewards/accuracies": 0.925000011920929,
519
+ "rewards/chosen": 1.5254548788070679,
520
+ "rewards/margins": 3.3456084728240967,
521
+ "rewards/rejected": -1.8201534748077393,
522
+ "step": 155
523
+ },
524
+ {
525
+ "epoch": 1.3305613305613306,
526
+ "grad_norm": 17.670853805471324,
527
+ "learning_rate": 6.112604669781572e-07,
528
+ "logits/chosen": -2.1896843910217285,
529
+ "logits/rejected": -2.151392698287964,
530
+ "logps/chosen": -246.44552612304688,
531
+ "logps/rejected": -224.73641967773438,
532
+ "loss": 0.2666,
533
+ "rewards/accuracies": 0.9125000238418579,
534
+ "rewards/chosen": 1.2775523662567139,
535
+ "rewards/margins": 3.355015516281128,
536
+ "rewards/rejected": -2.077463150024414,
537
+ "step": 160
538
+ },
539
+ {
540
+ "epoch": 1.3721413721413722,
541
+ "grad_norm": 19.884309338358804,
542
+ "learning_rate": 5.892784473993183e-07,
543
+ "logits/chosen": -2.1978659629821777,
544
+ "logits/rejected": -2.139770984649658,
545
+ "logps/chosen": -244.56283569335938,
546
+ "logps/rejected": -235.612060546875,
547
+ "loss": 0.2784,
548
+ "rewards/accuracies": 0.956250011920929,
549
+ "rewards/chosen": 1.9508459568023682,
550
+ "rewards/margins": 3.806994676589966,
551
+ "rewards/rejected": -1.8561484813690186,
552
+ "step": 165
553
+ },
554
+ {
555
+ "epoch": 1.4137214137214138,
556
+ "grad_norm": 21.536221614158325,
557
+ "learning_rate": 5.671166329088277e-07,
558
+ "logits/chosen": -2.159837245941162,
559
+ "logits/rejected": -2.1259591579437256,
560
+ "logps/chosen": -235.0163116455078,
561
+ "logps/rejected": -240.001953125,
562
+ "loss": 0.2998,
563
+ "rewards/accuracies": 0.893750011920929,
564
+ "rewards/chosen": 1.634421944618225,
565
+ "rewards/margins": 3.504880428314209,
566
+ "rewards/rejected": -1.870458960533142,
567
+ "step": 170
568
+ },
569
+ {
570
+ "epoch": 1.4553014553014554,
571
+ "grad_norm": 19.683343698848628,
572
+ "learning_rate": 5.448196544517167e-07,
573
+ "logits/chosen": -2.1057746410369873,
574
+ "logits/rejected": -2.0693142414093018,
575
+ "logps/chosen": -242.95492553710938,
576
+ "logps/rejected": -222.35372924804688,
577
+ "loss": 0.2881,
578
+ "rewards/accuracies": 0.9312499761581421,
579
+ "rewards/chosen": 1.408005952835083,
580
+ "rewards/margins": 3.477801561355591,
581
+ "rewards/rejected": -2.069795846939087,
582
+ "step": 175
583
+ },
584
+ {
585
+ "epoch": 1.496881496881497,
586
+ "grad_norm": 23.26853368506061,
587
+ "learning_rate": 5.224324151752575e-07,
588
+ "logits/chosen": -2.0776679515838623,
589
+ "logits/rejected": -2.0356287956237793,
590
+ "logps/chosen": -252.8184356689453,
591
+ "logps/rejected": -263.45013427734375,
592
+ "loss": 0.2876,
593
+ "rewards/accuracies": 0.887499988079071,
594
+ "rewards/chosen": 1.3347493410110474,
595
+ "rewards/margins": 3.841991901397705,
596
+ "rewards/rejected": -2.5072426795959473,
597
+ "step": 180
598
+ },
599
+ {
600
+ "epoch": 1.5384615384615383,
601
+ "grad_norm": 19.309579616953823,
602
+ "learning_rate": 5e-07,
603
+ "logits/chosen": -2.0446431636810303,
604
+ "logits/rejected": -1.985939621925354,
605
+ "logps/chosen": -235.72598266601562,
606
+ "logps/rejected": -258.97344970703125,
607
+ "loss": 0.2758,
608
+ "rewards/accuracies": 0.887499988079071,
609
+ "rewards/chosen": 1.3530393838882446,
610
+ "rewards/margins": 3.8046765327453613,
611
+ "rewards/rejected": -2.451636791229248,
612
+ "step": 185
613
+ },
614
+ {
615
+ "epoch": 1.5800415800415801,
616
+ "grad_norm": 18.625040552548324,
617
+ "learning_rate": 4.775675848247427e-07,
618
+ "logits/chosen": -2.0644099712371826,
619
+ "logits/rejected": -2.0216641426086426,
620
+ "logps/chosen": -241.5558624267578,
621
+ "logps/rejected": -263.6393737792969,
622
+ "loss": 0.292,
623
+ "rewards/accuracies": 0.887499988079071,
624
+ "rewards/chosen": 1.0546023845672607,
625
+ "rewards/margins": 3.451650619506836,
626
+ "rewards/rejected": -2.397047996520996,
627
+ "step": 190
628
+ },
629
+ {
630
+ "epoch": 1.6216216216216215,
631
+ "grad_norm": 25.624591590300348,
632
+ "learning_rate": 4.5518034554828327e-07,
633
+ "logits/chosen": -2.0048115253448486,
634
+ "logits/rejected": -1.9765331745147705,
635
+ "logps/chosen": -227.64968872070312,
636
+ "logps/rejected": -238.43795776367188,
637
+ "loss": 0.2831,
638
+ "rewards/accuracies": 0.887499988079071,
639
+ "rewards/chosen": 1.2037407159805298,
640
+ "rewards/margins": 3.231950044631958,
641
+ "rewards/rejected": -2.0282092094421387,
642
+ "step": 195
643
+ },
644
+ {
645
+ "epoch": 1.6632016632016633,
646
+ "grad_norm": 18.88665153638521,
647
+ "learning_rate": 4.328833670911724e-07,
648
+ "logits/chosen": -2.0011658668518066,
649
+ "logits/rejected": -1.9661411046981812,
650
+ "logps/chosen": -240.28115844726562,
651
+ "logps/rejected": -233.8397674560547,
652
+ "loss": 0.2753,
653
+ "rewards/accuracies": 0.918749988079071,
654
+ "rewards/chosen": 1.5664188861846924,
655
+ "rewards/margins": 3.7791213989257812,
656
+ "rewards/rejected": -2.212702512741089,
657
+ "step": 200
658
+ },
659
+ {
660
+ "epoch": 1.6632016632016633,
661
+ "eval_logits/chosen": -2.0067989826202393,
662
+ "eval_logits/rejected": -1.9752123355865479,
663
+ "eval_logps/chosen": -239.95291137695312,
664
+ "eval_logps/rejected": -228.13818359375,
665
+ "eval_loss": 0.5260343551635742,
666
+ "eval_rewards/accuracies": 0.7870370149612427,
667
+ "eval_rewards/chosen": 0.5776218175888062,
668
+ "eval_rewards/margins": 2.2511181831359863,
669
+ "eval_rewards/rejected": -1.6734964847564697,
670
+ "eval_runtime": 227.8787,
671
+ "eval_samples_per_second": 15.008,
672
+ "eval_steps_per_second": 0.237,
673
+ "step": 200
674
+ },
675
+ {
676
+ "epoch": 1.7047817047817047,
677
+ "grad_norm": 20.606041672053742,
678
+ "learning_rate": 4.107215526006817e-07,
679
+ "logits/chosen": -2.0168378353118896,
680
+ "logits/rejected": -2.0030291080474854,
681
+ "logps/chosen": -241.3817901611328,
682
+ "logps/rejected": -229.66983032226562,
683
+ "loss": 0.2676,
684
+ "rewards/accuracies": 0.90625,
685
+ "rewards/chosen": 1.1407381296157837,
686
+ "rewards/margins": 3.4952163696289062,
687
+ "rewards/rejected": -2.354478359222412,
688
+ "step": 205
689
+ },
690
+ {
691
+ "epoch": 1.7463617463617465,
692
+ "grad_norm": 22.789146320944226,
693
+ "learning_rate": 3.8873953302184283e-07,
694
+ "logits/chosen": -2.0401172637939453,
695
+ "logits/rejected": -2.0455780029296875,
696
+ "logps/chosen": -259.087646484375,
697
+ "logps/rejected": -266.7929382324219,
698
+ "loss": 0.2835,
699
+ "rewards/accuracies": 0.9125000238418579,
700
+ "rewards/chosen": 1.659684181213379,
701
+ "rewards/margins": 4.7479376792907715,
702
+ "rewards/rejected": -3.0882537364959717,
703
+ "step": 210
704
+ },
705
+ {
706
+ "epoch": 1.7879417879417878,
707
+ "grad_norm": 21.146209859360724,
708
+ "learning_rate": 3.669815772166625e-07,
709
+ "logits/chosen": -2.096433162689209,
710
+ "logits/rejected": -2.0388777256011963,
711
+ "logps/chosen": -226.2377471923828,
712
+ "logps/rejected": -233.63345336914062,
713
+ "loss": 0.2949,
714
+ "rewards/accuracies": 0.893750011920929,
715
+ "rewards/chosen": 1.1128900051116943,
716
+ "rewards/margins": 3.8045170307159424,
717
+ "rewards/rejected": -2.691626787185669,
718
+ "step": 215
719
+ },
720
+ {
721
+ "epoch": 1.8295218295218296,
722
+ "grad_norm": 23.211306221342724,
723
+ "learning_rate": 3.454915028125263e-07,
724
+ "logits/chosen": -2.142961025238037,
725
+ "logits/rejected": -2.1109135150909424,
726
+ "logps/chosen": -254.2344970703125,
727
+ "logps/rejected": -226.5556182861328,
728
+ "loss": 0.3116,
729
+ "rewards/accuracies": 0.9125000238418579,
730
+ "rewards/chosen": 1.4686962366104126,
731
+ "rewards/margins": 3.649186611175537,
732
+ "rewards/rejected": -2.180490493774414,
733
+ "step": 220
734
+ },
735
+ {
736
+ "epoch": 1.871101871101871,
737
+ "grad_norm": 21.234299796191088,
738
+ "learning_rate": 3.243125879593286e-07,
739
+ "logits/chosen": -2.1594347953796387,
740
+ "logits/rejected": -2.073580503463745,
741
+ "logps/chosen": -236.852783203125,
742
+ "logps/rejected": -205.26364135742188,
743
+ "loss": 0.2623,
744
+ "rewards/accuracies": 0.925000011920929,
745
+ "rewards/chosen": 1.4601980447769165,
746
+ "rewards/margins": 3.3408331871032715,
747
+ "rewards/rejected": -1.8806352615356445,
748
+ "step": 225
749
+ },
750
+ {
751
+ "epoch": 1.9126819126819128,
752
+ "grad_norm": 21.98980691042499,
753
+ "learning_rate": 3.034874841730382e-07,
754
+ "logits/chosen": -2.1095290184020996,
755
+ "logits/rejected": -2.1008989810943604,
756
+ "logps/chosen": -216.3356475830078,
757
+ "logps/rejected": -237.36105346679688,
758
+ "loss": 0.273,
759
+ "rewards/accuracies": 0.887499988079071,
760
+ "rewards/chosen": 0.8807503581047058,
761
+ "rewards/margins": 3.266737461090088,
762
+ "rewards/rejected": -2.385986566543579,
763
+ "step": 230
764
+ },
765
+ {
766
+ "epoch": 1.9542619542619541,
767
+ "grad_norm": 21.318480650474577,
768
+ "learning_rate": 2.8305813044122093e-07,
769
+ "logits/chosen": -2.1163198947906494,
770
+ "logits/rejected": -2.0800211429595947,
771
+ "logps/chosen": -256.31964111328125,
772
+ "logps/rejected": -238.0819549560547,
773
+ "loss": 0.2932,
774
+ "rewards/accuracies": 0.90625,
775
+ "rewards/chosen": 1.1696745157241821,
776
+ "rewards/margins": 3.4981822967529297,
777
+ "rewards/rejected": -2.328507900238037,
778
+ "step": 235
779
+ },
780
+ {
781
+ "epoch": 1.995841995841996,
782
+ "grad_norm": 27.57270765971842,
783
+ "learning_rate": 2.6306566876350067e-07,
784
+ "logits/chosen": -2.1104226112365723,
785
+ "logits/rejected": -2.059446096420288,
786
+ "logps/chosen": -266.0362243652344,
787
+ "logps/rejected": -221.4217987060547,
788
+ "loss": 0.2674,
789
+ "rewards/accuracies": 0.887499988079071,
790
+ "rewards/chosen": 1.0522549152374268,
791
+ "rewards/margins": 3.6826469898223877,
792
+ "rewards/rejected": -2.630392074584961,
793
+ "step": 240
794
+ },
795
+ {
796
+ "epoch": 2.0374220374220373,
797
+ "grad_norm": 11.929615902205445,
798
+ "learning_rate": 2.4355036129704696e-07,
799
+ "logits/chosen": -2.1031384468078613,
800
+ "logits/rejected": -2.043654203414917,
801
+ "logps/chosen": -227.5277557373047,
802
+ "logps/rejected": -237.7144012451172,
803
+ "loss": 0.1545,
804
+ "rewards/accuracies": 0.9375,
805
+ "rewards/chosen": 1.1089200973510742,
806
+ "rewards/margins": 4.071263790130615,
807
+ "rewards/rejected": -2.962343692779541,
808
+ "step": 245
809
+ },
810
+ {
811
+ "epoch": 2.079002079002079,
812
+ "grad_norm": 15.338343100063272,
813
+ "learning_rate": 2.2455150927394878e-07,
814
+ "logits/chosen": -2.081404685974121,
815
+ "logits/rejected": -2.0469887256622314,
816
+ "logps/chosen": -244.6934356689453,
817
+ "logps/rejected": -248.8526153564453,
818
+ "loss": 0.1584,
819
+ "rewards/accuracies": 0.981249988079071,
820
+ "rewards/chosen": 1.563730239868164,
821
+ "rewards/margins": 4.418831825256348,
822
+ "rewards/rejected": -2.8551013469696045,
823
+ "step": 250
824
+ },
825
+ {
826
+ "epoch": 2.079002079002079,
827
+ "eval_logits/chosen": -2.068942070007324,
828
+ "eval_logits/rejected": -2.0353572368621826,
829
+ "eval_logps/chosen": -240.47457885742188,
830
+ "eval_logps/rejected": -230.4605255126953,
831
+ "eval_loss": 0.5117811560630798,
832
+ "eval_rewards/accuracies": 0.7939814925193787,
833
+ "eval_rewards/chosen": 0.5254563689231873,
834
+ "eval_rewards/margins": 2.4311861991882324,
835
+ "eval_rewards/rejected": -1.905730128288269,
836
+ "eval_runtime": 227.834,
837
+ "eval_samples_per_second": 15.011,
838
+ "eval_steps_per_second": 0.237,
839
+ "step": 250
840
+ },
841
+ {
842
+ "epoch": 2.1205821205821205,
843
+ "grad_norm": 16.808807842784802,
844
+ "learning_rate": 2.0610737385376348e-07,
845
+ "logits/chosen": -2.070066452026367,
846
+ "logits/rejected": -2.032356023788452,
847
+ "logps/chosen": -222.1339874267578,
848
+ "logps/rejected": -214.38522338867188,
849
+ "loss": 0.1768,
850
+ "rewards/accuracies": 0.9437500238418579,
851
+ "rewards/chosen": 1.210902452468872,
852
+ "rewards/margins": 3.55863881111145,
853
+ "rewards/rejected": -2.347736358642578,
854
+ "step": 255
855
+ },
856
+ {
857
+ "epoch": 2.1621621621621623,
858
+ "grad_norm": 19.515515285926487,
859
+ "learning_rate": 1.8825509907063326e-07,
860
+ "logits/chosen": -2.078474760055542,
861
+ "logits/rejected": -2.0414175987243652,
862
+ "logps/chosen": -213.68118286132812,
863
+ "logps/rejected": -248.75192260742188,
864
+ "loss": 0.1721,
865
+ "rewards/accuracies": 0.949999988079071,
866
+ "rewards/chosen": 1.2889325618743896,
867
+ "rewards/margins": 3.8671317100524902,
868
+ "rewards/rejected": -2.5781993865966797,
869
+ "step": 260
870
+ },
871
+ {
872
+ "epoch": 2.2037422037422036,
873
+ "grad_norm": 15.747420635068087,
874
+ "learning_rate": 1.710306370301437e-07,
875
+ "logits/chosen": -2.096172332763672,
876
+ "logits/rejected": -2.0482194423675537,
877
+ "logps/chosen": -232.9115753173828,
878
+ "logps/rejected": -231.60861206054688,
879
+ "loss": 0.158,
880
+ "rewards/accuracies": 0.9624999761581421,
881
+ "rewards/chosen": 1.6092205047607422,
882
+ "rewards/margins": 4.0434794425964355,
883
+ "rewards/rejected": -2.4342594146728516,
884
+ "step": 265
885
+ },
886
+ {
887
+ "epoch": 2.2453222453222454,
888
+ "grad_norm": 16.455326384704957,
889
+ "learning_rate": 1.5446867550656767e-07,
890
+ "logits/chosen": -2.112180233001709,
891
+ "logits/rejected": -2.03873872756958,
892
+ "logps/chosen": -244.0580291748047,
893
+ "logps/rejected": -238.3592071533203,
894
+ "loss": 0.1733,
895
+ "rewards/accuracies": 0.887499988079071,
896
+ "rewards/chosen": 1.4473066329956055,
897
+ "rewards/margins": 3.8618369102478027,
898
+ "rewards/rejected": -2.414530038833618,
899
+ "step": 270
900
+ },
901
+ {
902
+ "epoch": 2.286902286902287,
903
+ "grad_norm": 15.072874984273307,
904
+ "learning_rate": 1.3860256808630427e-07,
905
+ "logits/chosen": -2.134932041168213,
906
+ "logits/rejected": -2.070984363555908,
907
+ "logps/chosen": -250.3199005126953,
908
+ "logps/rejected": -252.6285400390625,
909
+ "loss": 0.1657,
910
+ "rewards/accuracies": 0.9375,
911
+ "rewards/chosen": 1.7358472347259521,
912
+ "rewards/margins": 4.2915215492248535,
913
+ "rewards/rejected": -2.5556740760803223,
914
+ "step": 275
915
+ },
916
+ {
917
+ "epoch": 2.3284823284823286,
918
+ "grad_norm": 13.48600883883482,
919
+ "learning_rate": 1.2346426699819456e-07,
920
+ "logits/chosen": -2.1141560077667236,
921
+ "logits/rejected": -2.0565381050109863,
922
+ "logps/chosen": -224.2864532470703,
923
+ "logps/rejected": -223.65731811523438,
924
+ "loss": 0.1445,
925
+ "rewards/accuracies": 0.9125000238418579,
926
+ "rewards/chosen": 1.6165220737457275,
927
+ "rewards/margins": 4.022408485412598,
928
+ "rewards/rejected": -2.40588641166687,
929
+ "step": 280
930
+ },
931
+ {
932
+ "epoch": 2.37006237006237,
933
+ "grad_norm": 13.775658471233747,
934
+ "learning_rate": 1.090842587659851e-07,
935
+ "logits/chosen": -2.0836844444274902,
936
+ "logits/rejected": -2.033290386199951,
937
+ "logps/chosen": -235.9185333251953,
938
+ "logps/rejected": -233.7434539794922,
939
+ "loss": 0.1616,
940
+ "rewards/accuracies": 0.949999988079071,
941
+ "rewards/chosen": 1.657187819480896,
942
+ "rewards/margins": 4.302671432495117,
943
+ "rewards/rejected": -2.6454834938049316,
944
+ "step": 285
945
+ },
946
+ {
947
+ "epoch": 2.4116424116424118,
948
+ "grad_norm": 19.09270347908536,
949
+ "learning_rate": 9.549150281252632e-08,
950
+ "logits/chosen": -2.122148036956787,
951
+ "logits/rejected": -2.049131393432617,
952
+ "logps/chosen": -262.602294921875,
953
+ "logps/rejected": -225.87008666992188,
954
+ "loss": 0.1501,
955
+ "rewards/accuracies": 0.9437500238418579,
956
+ "rewards/chosen": 1.8016000986099243,
957
+ "rewards/margins": 4.24440860748291,
958
+ "rewards/rejected": -2.4428083896636963,
959
+ "step": 290
960
+ },
961
+ {
962
+ "epoch": 2.453222453222453,
963
+ "grad_norm": 14.877658534967546,
964
+ "learning_rate": 8.271337313934867e-08,
965
+ "logits/chosen": -2.0919740200042725,
966
+ "logits/rejected": -2.0363011360168457,
967
+ "logps/chosen": -246.9591827392578,
968
+ "logps/rejected": -240.05551147460938,
969
+ "loss": 0.1505,
970
+ "rewards/accuracies": 0.9437500238418579,
971
+ "rewards/chosen": 1.5468189716339111,
972
+ "rewards/margins": 4.176497459411621,
973
+ "rewards/rejected": -2.629678249359131,
974
+ "step": 295
975
+ },
976
+ {
977
+ "epoch": 2.494802494802495,
978
+ "grad_norm": 19.060658903318366,
979
+ "learning_rate": 7.077560319906694e-08,
980
+ "logits/chosen": -2.0859265327453613,
981
+ "logits/rejected": -2.04348087310791,
982
+ "logps/chosen": -243.56875610351562,
983
+ "logps/rejected": -244.1935577392578,
984
+ "loss": 0.1572,
985
+ "rewards/accuracies": 0.9624999761581421,
986
+ "rewards/chosen": 1.8503570556640625,
987
+ "rewards/margins": 4.711921691894531,
988
+ "rewards/rejected": -2.8615641593933105,
989
+ "step": 300
990
+ },
991
+ {
992
+ "epoch": 2.494802494802495,
993
+ "eval_logits/chosen": -2.0940816402435303,
994
+ "eval_logits/rejected": -2.0615904331207275,
995
+ "eval_logps/chosen": -238.14688110351562,
996
+ "eval_logps/rejected": -228.6629180908203,
997
+ "eval_loss": 0.5261171460151672,
998
+ "eval_rewards/accuracies": 0.7986111044883728,
999
+ "eval_rewards/chosen": 0.7582256197929382,
1000
+ "eval_rewards/margins": 2.484196424484253,
1001
+ "eval_rewards/rejected": -1.725970983505249,
1002
+ "eval_runtime": 227.7859,
1003
+ "eval_samples_per_second": 15.014,
1004
+ "eval_steps_per_second": 0.237,
1005
+ "step": 300
1006
+ }
1007
+ ],
1008
+ "logging_steps": 5,
1009
+ "max_steps": 360,
1010
+ "num_input_tokens_seen": 0,
1011
+ "num_train_epochs": 3,
1012
+ "save_steps": 100,
1013
+ "stateful_callbacks": {
1014
+ "TrainerControl": {
1015
+ "args": {
1016
+ "should_epoch_stop": false,
1017
+ "should_evaluate": false,
1018
+ "should_log": false,
1019
+ "should_save": true,
1020
+ "should_training_stop": false
1021
+ },
1022
+ "attributes": {}
1023
+ }
1024
+ },
1025
+ "total_flos": 3537404052897792.0,
1026
+ "train_batch_size": 8,
1027
+ "trial_name": null,
1028
+ "trial_params": null
1029
+ }
checkpoint-300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56299ad062d8576ff41b740c46d652e74acb87f455a7c87b3704f2671b07aaf8
3
+ size 7096
checkpoint-360/added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<image>": 32000,
3
+ "<pad>": 32001
4
+ }
checkpoint-360/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
3
+ "architectures": [
4
+ "LlavaNextForConditionalGeneration"
5
+ ],
6
+ "hidden_size": 4096,
7
+ "ignore_index": -100,
8
+ "image_grid_pinpoints": [
9
+ [
10
+ 336,
11
+ 672
12
+ ],
13
+ [
14
+ 672,
15
+ 336
16
+ ],
17
+ [
18
+ 672,
19
+ 672
20
+ ],
21
+ [
22
+ 1008,
23
+ 336
24
+ ],
25
+ [
26
+ 336,
27
+ 1008
28
+ ]
29
+ ],
30
+ "image_seq_length": 576,
31
+ "image_token_index": 32000,
32
+ "model_type": "llava_next",
33
+ "projector_hidden_act": "gelu",
34
+ "text_config": {
35
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
36
+ "architectures": [
37
+ "MistralForCausalLM"
38
+ ],
39
+ "intermediate_size": 14336,
40
+ "max_position_embeddings": 32768,
41
+ "model_type": "mistral",
42
+ "num_key_value_heads": 8,
43
+ "rms_norm_eps": 1e-05,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": null,
46
+ "torch_dtype": "bfloat16",
47
+ "vocab_size": 32064
48
+ },
49
+ "tie_word_embeddings": false,
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.45.2",
52
+ "use_cache": false,
53
+ "use_image_newline_parameter": true,
54
+ "vision_config": {
55
+ "hidden_size": 1024,
56
+ "image_size": 336,
57
+ "intermediate_size": 4096,
58
+ "model_type": "clip_vision_model",
59
+ "num_attention_heads": 16,
60
+ "num_hidden_layers": 24,
61
+ "patch_size": 14,
62
+ "projection_dim": 768,
63
+ "vocab_size": 32000
64
+ },
65
+ "vision_feature_layer": -2,
66
+ "vision_feature_select_strategy": "default",
67
+ "vocab_size": 32064
68
+ }