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- .gitattributes +1 -0
- chat_template.json +3 -0
- config.json +184 -0
- generation_config.json +13 -0
- model-00001-of-00050.safetensors +3 -0
- model-00002-of-00050.safetensors +3 -0
- model-00003-of-00050.safetensors +3 -0
- model-00004-of-00050.safetensors +3 -0
- model-00005-of-00050.safetensors +3 -0
- model-00006-of-00050.safetensors +3 -0
- model-00007-of-00050.safetensors +3 -0
- model-00008-of-00050.safetensors +3 -0
- model-00009-of-00050.safetensors +3 -0
- model-00010-of-00050.safetensors +3 -0
- model-00011-of-00050.safetensors +3 -0
- model-00012-of-00050.safetensors +3 -0
- model-00013-of-00050.safetensors +3 -0
- model-00014-of-00050.safetensors +3 -0
- model-00015-of-00050.safetensors +3 -0
- model-00016-of-00050.safetensors +3 -0
- model-00017-of-00050.safetensors +3 -0
- model-00018-of-00050.safetensors +3 -0
- model-00019-of-00050.safetensors +3 -0
- model-00020-of-00050.safetensors +3 -0
- model-00021-of-00050.safetensors +3 -0
- model-00022-of-00050.safetensors +3 -0
- model-00023-of-00050.safetensors +3 -0
- model-00024-of-00050.safetensors +3 -0
- model-00025-of-00050.safetensors +3 -0
- model-00026-of-00050.safetensors +3 -0
- model-00027-of-00050.safetensors +3 -0
- model-00028-of-00050.safetensors +3 -0
- model-00029-of-00050.safetensors +3 -0
- model-00030-of-00050.safetensors +3 -0
- model-00031-of-00050.safetensors +3 -0
- model-00032-of-00050.safetensors +3 -0
- model-00033-of-00050.safetensors +3 -0
- model-00034-of-00050.safetensors +3 -0
- model-00035-of-00050.safetensors +3 -0
- model-00036-of-00050.safetensors +3 -0
- model-00037-of-00050.safetensors +3 -0
- model-00038-of-00050.safetensors +3 -0
- model-00039-of-00050.safetensors +3 -0
- model-00040-of-00050.safetensors +3 -0
- model-00041-of-00050.safetensors +3 -0
- model-00042-of-00050.safetensors +3 -0
- model-00043-of-00050.safetensors +3 -0
- model-00044-of-00050.safetensors +3 -0
- model-00045-of-00050.safetensors +3 -0
- model-00046-of-00050.safetensors +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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chat_template.json
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{
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"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %} \n {%- if messages[0]['content'] is string %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- else %}\n {#- FIXME: The processor requires an array, always. #}\n {%- set system_message = messages[0]['content'][0]['text']|trim %}\n {%- endif %}\n {%- set messages = messages[1:] %}\n {%- set user_supplied_system_message = true %}\n{%- else %}\n {%- set system_message = \"\" %}\n {%- set user_supplied_system_message = false %}\n{%- endif %}\n\n{#- System message if the user supplied one #}\n{%- if user_supplied_system_message %}\n {{- \"<|header_start|>system<|header_end|>\n\n\" }}\n {%- if tools is not none %}\n {{- \"Environment: ipython\n\" }}\n {%- endif %}\n {%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\n\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\n\n\" }}\n {%- endfor %}\n {%- endif %}\n {{- system_message }}\n {{- \"<|eot|>\" }}\n{%- endif %}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|header_start|>user<|header_end|>\n\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\n\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\n\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\n\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|header_start|>' + message['role'] + '<|header_end|>\n\n' }}\n {%- if message['content'] is string %}\n {{- message['content'] }}\n {%- else %}\n {%- for content in message['content'] %}\n {%- if content['type'] == 'image' %}\n {{- '<|image|>' }}\n {%- elif content['type'] == 'text' %}\n {{- content['text'] }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- \"<|eot|>\" }}\n {%- elif 'tool_calls' in message and message.tool_calls|length > 0 %}\n {{- '<|header_start|>assistant<|header_end|>\n\n' -}}\n {{- '<|python_start|>' }}\n {%- if message['content'] is string %}\n {{- message['content'] }}\n {%- else %}\n {%- for content in message['content'] %}\n {%- if content['type'] == 'image' %}\n {{- '<|image|>' }}\n {%- elif content['type'] == 'text' %}\n {{- content['text'] }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|python_end|>' }}\n {%- for tool_call in message.tool_calls %}\n {{- '{\"name\": \"' + tool_call.function.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.function.arguments | tojson }}\n {{- \"}\" }}\n {%- endfor %}\n {{- \"<|eot|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|header_start|>ipython<|header_end|>\n\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|header_start|>assistant<|header_end|>\n\n' }}\n{%- endif %}\n"
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}
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config.json
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{
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"architectures": [
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"Llama4ForConditionalGeneration"
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],
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"boi_token_index": 200080,
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"eoi_token_index": 200081,
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"image_token_index": 200092,
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"model_type": "llama4",
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"text_config": {
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"_attn_implementation_autoset": true,
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"attention_bias": false,
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"attention_chunk_size": 8192,
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"attention_dropout": 0.0,
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"attn_scale": 0.1,
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"attn_temperature_tuning": 4,
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"bos_token_id": 200000,
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"eos_token_id": [
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200001,
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200008
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],
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"floor_scale": 8192,
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"for_llm_compressor": false,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"interleave_moe_layer_step": 1,
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"intermediate_size": 8192,
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"intermediate_size_mlp": 16384,
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"max_position_embeddings": 262144,
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"model_type": "llama4_text",
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"moe_layers": [
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],
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"no_rope_layers": [
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"num_attention_heads": 40,
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"num_experts_per_tok": 1,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"num_local_experts": 16,
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"output_router_logits": false,
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"pad_token_id": 200018,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"torch_dtype": "bfloat16",
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"use_cache": true,
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"use_qk_norm": true,
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"vocab_size": 202048
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},
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.0",
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"vision_config": {
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"_attn_implementation_autoset": true,
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"attention_dropout": 0.0,
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"hidden_act": "gelu",
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"hidden_size": 1408,
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"image_size": 336,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"model_type": "llama4_vision_model",
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"multi_modal_projector_bias": false,
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"norm_eps": 1e-05,
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 34,
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"patch_size": 14,
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"pixel_shuffle_ratio": 0.5,
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"projector_dropout": 0.0,
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"projector_input_dim": 4096,
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"projector_output_dim": 4096,
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"rope_theta": 10000,
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"torch_dtype": "bfloat16",
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"vision_feature_layer": -1,
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"vision_feature_select_strategy": "default",
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"vision_output_dim": 4096
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}
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}
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generation_config.json
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{
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"bos_token_id": 200000,
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"do_sample": true,
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"eos_token_id": [
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200001,
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200007,
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200008
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],
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"pad_token_id": 200018,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.51.0"
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}
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model-00001-of-00050.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:09aa4860fc707b59a23e04c7050222cee7e29645bb896036539b66fd574f40ea
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size 3938735392
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model-00002-of-00050.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc3e56eb13bd8bc93e171d4c2b2263dbe7458c4a3bf2d8cb660b0515dd6bb03c
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size 4404205368
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model-00003-of-00050.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c09b2e68debe9dc9268c486b24ba4e06fe571506e9824157c6db72a66b799c5f
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size 4404205368
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model-00004-of-00050.safetensors
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version https://git-lfs.github.com/spec/v1
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