Add files using upload-large-folder tool
Browse files- README.md +8 -52
- chat_template.jinja +85 -0
- config.json +4 -3
- generation_config.json +13 -12
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +443 -443
- special_tokens_map.json +1 -1
- tokenizer_config.json +6 -4
README.md
CHANGED
@@ -1,57 +1,10 @@
|
|
1 |
---
|
2 |
-
base_model: Qwen/Qwen3-14B
|
3 |
-
language:
|
4 |
-
- en
|
5 |
-
library_name: transformers
|
6 |
-
license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
|
7 |
-
license: apache-2.0
|
8 |
tags:
|
9 |
-
- qwen
|
10 |
-
- qwen
|
11 |
- unsloth
|
12 |
-
|
|
|
|
|
13 |
---
|
14 |
-
<div>
|
15 |
-
<p style="margin-bottom: 0; margin-top: 0;">
|
16 |
-
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
|
17 |
-
</p>
|
18 |
-
<p style="margin-bottom: 0;">
|
19 |
-
<em>Learn to run Qwen3 correctly - <a href="https://docs.unsloth.ai/basics/tutorial-how-to-run-gemma-3-effectively">Read our Guide</a>.</em>
|
20 |
-
</p>
|
21 |
-
<p style="margin-top: 0;margin-bottom: 0;">
|
22 |
-
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic v2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
|
23 |
-
</p>
|
24 |
-
<div style="display: flex; gap: 5px; align-items: center; ">
|
25 |
-
<a href="https://github.com/unslothai/unsloth/">
|
26 |
-
<img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
|
27 |
-
</a>
|
28 |
-
<a href="https://discord.gg/unsloth">
|
29 |
-
<img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
|
30 |
-
</a>
|
31 |
-
<a href="https://docs.unsloth.ai/basics/tutorial-how-to-run-deepseek-r1-on-your-own-local-device">
|
32 |
-
<img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
|
33 |
-
</a>
|
34 |
-
</div>
|
35 |
-
<h1 style="margin-top: 0rem;">✨ Run & Fine-tune Qwen3 with Unsloth!</h1>
|
36 |
-
</div>
|
37 |
-
|
38 |
-
- Fine-tune Qwen3 (14B) for free using our Google [Colab notebook here](https://docs.unsloth.ai/get-started/unsloth-notebooks)!
|
39 |
-
- Read our Blog about Qwen3 support: [unsloth.ai/blog/qwen3](https://unsloth.ai/blog/qwen3)
|
40 |
-
- View the rest of our notebooks in our [docs here](https://docs.unsloth.ai/get-started/unsloth-notebooks).
|
41 |
-
- Run & export your fine-tuned model to Ollama, llama.cpp or HF.
|
42 |
-
|
43 |
-
| Unsloth supports | Free Notebooks | Performance | Memory use |
|
44 |
-
|-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|
|
45 |
-
| **Qwen3 (14B)** | [▶️ Start on Colab](https://docs.unsloth.ai/get-started/unsloth-notebooks) | 3x faster | 80% less |
|
46 |
-
| **GRPO with Qwen3 (8B)** | [▶️ Start on Colab](https://docs.unsloth.ai/get-started/unsloth-notebooks) | 3x faster | 80% less |
|
47 |
-
| **Llama-3.2 (3B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(1B_and_3B)-Conversational.ipynb) | 2.4x faster | 58% less |
|
48 |
-
| **Llama-3.2 (11B vision)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb) | 2x faster | 60% less |
|
49 |
-
| **Qwen2.5 (7B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb) | 2x faster | 60% less |
|
50 |
-
| **Phi-4 (14B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb) | 2x faster | 50% less |
|
51 |
-
| **Mistral (7B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_(7B)-Conversational.ipynb) | 2.2x faster | 62% less |
|
52 |
-
|
53 |
-
<br>
|
54 |
-
|
55 |
# Qwen3-14B
|
56 |
|
57 |
## Qwen3 Highlights
|
@@ -256,7 +209,6 @@ Qwen3 excels in tool calling capabilities. We recommend using [Qwen-Agent](https
|
|
256 |
|
257 |
To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself.
|
258 |
```python
|
259 |
-
import os
|
260 |
from qwen_agent.agents import Assistant
|
261 |
|
262 |
# Define LLM
|
@@ -286,6 +238,10 @@ tools = [
|
|
286 |
'command': 'uvx',
|
287 |
'args': ['mcp-server-time', '--local-timezone=Asia/Shanghai']
|
288 |
},
|
|
|
|
|
|
|
|
|
289 |
}
|
290 |
},
|
291 |
'code_interpreter', # Built-in tools
|
@@ -295,7 +251,7 @@ tools = [
|
|
295 |
bot = Assistant(llm=llm_cfg, function_list=tools)
|
296 |
|
297 |
# Streaming generation
|
298 |
-
messages = [{'role': 'user', 'content': '
|
299 |
for responses in bot.run(messages=messages):
|
300 |
pass
|
301 |
print(responses)
|
|
|
1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
2 |
tags:
|
|
|
|
|
3 |
- unsloth
|
4 |
+
base_model:
|
5 |
+
- Qwen/Qwen3-14B
|
6 |
+
license: apache-2.0
|
7 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
# Qwen3-14B
|
9 |
|
10 |
## Qwen3 Highlights
|
|
|
209 |
|
210 |
To define the available tools, you can use the MCP configuration file, use the integrated tool of Qwen-Agent, or integrate other tools by yourself.
|
211 |
```python
|
|
|
212 |
from qwen_agent.agents import Assistant
|
213 |
|
214 |
# Define LLM
|
|
|
238 |
'command': 'uvx',
|
239 |
'args': ['mcp-server-time', '--local-timezone=Asia/Shanghai']
|
240 |
},
|
241 |
+
"fetch": {
|
242 |
+
"command": "uvx",
|
243 |
+
"args": ["mcp-server-fetch"]
|
244 |
+
}
|
245 |
}
|
246 |
},
|
247 |
'code_interpreter', # Built-in tools
|
|
|
251 |
bot = Assistant(llm=llm_cfg, function_list=tools)
|
252 |
|
253 |
# Streaming generation
|
254 |
+
messages = [{'role': 'user', 'content': 'https://qwenlm.github.io/blog/ Introduce the latest developments of Qwen'}]
|
255 |
for responses in bot.run(messages=messages):
|
256 |
pass
|
257 |
print(responses)
|
chat_template.jinja
ADDED
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{%- if tools %}
|
2 |
+
{{- '<|im_start|>system\n' }}
|
3 |
+
{%- if messages[0].role == 'system' %}
|
4 |
+
{{- messages[0].content + '\n\n' }}
|
5 |
+
{%- endif %}
|
6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
7 |
+
{%- for tool in tools %}
|
8 |
+
{{- "\n" }}
|
9 |
+
{{- tool | tojson }}
|
10 |
+
{%- endfor %}
|
11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
12 |
+
{%- else %}
|
13 |
+
{%- if messages[0].role == 'system' %}
|
14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
15 |
+
{%- endif %}
|
16 |
+
{%- endif %}
|
17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
18 |
+
{%- for message in messages[::-1] %}
|
19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
20 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
21 |
+
{%- set ns.multi_step_tool = false %}
|
22 |
+
{%- set ns.last_query_index = index %}
|
23 |
+
{%- endif %}
|
24 |
+
{%- endfor %}
|
25 |
+
{%- for message in messages %}
|
26 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
27 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
28 |
+
{%- elif message.role == "assistant" %}
|
29 |
+
{%- set content = message.content %}
|
30 |
+
{%- set reasoning_content = '' %}
|
31 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
32 |
+
{%- set reasoning_content = message.reasoning_content %}
|
33 |
+
{%- else %}
|
34 |
+
{%- if '</think>' in message.content %}
|
35 |
+
{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
|
36 |
+
{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
37 |
+
{%- endif %}
|
38 |
+
{%- endif %}
|
39 |
+
{%- if loop.index0 > ns.last_query_index %}
|
40 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
41 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
42 |
+
{%- else %}
|
43 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
44 |
+
{%- endif %}
|
45 |
+
{%- else %}
|
46 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
47 |
+
{%- endif %}
|
48 |
+
{%- if message.tool_calls %}
|
49 |
+
{%- for tool_call in message.tool_calls %}
|
50 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
51 |
+
{{- '\n' }}
|
52 |
+
{%- endif %}
|
53 |
+
{%- if tool_call.function %}
|
54 |
+
{%- set tool_call = tool_call.function %}
|
55 |
+
{%- endif %}
|
56 |
+
{{- '<tool_call>\n{"name": "' }}
|
57 |
+
{{- tool_call.name }}
|
58 |
+
{{- '", "arguments": ' }}
|
59 |
+
{%- if tool_call.arguments is string %}
|
60 |
+
{{- tool_call.arguments }}
|
61 |
+
{%- else %}
|
62 |
+
{{- tool_call.arguments | tojson }}
|
63 |
+
{%- endif %}
|
64 |
+
{{- '}\n</tool_call>' }}
|
65 |
+
{%- endfor %}
|
66 |
+
{%- endif %}
|
67 |
+
{{- '<|im_end|>\n' }}
|
68 |
+
{%- elif message.role == "tool" %}
|
69 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
70 |
+
{{- '<|im_start|>user' }}
|
71 |
+
{%- endif %}
|
72 |
+
{{- '\n<tool_response>\n' }}
|
73 |
+
{{- message.content }}
|
74 |
+
{{- '\n</tool_response>' }}
|
75 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
76 |
+
{{- '<|im_end|>\n' }}
|
77 |
+
{%- endif %}
|
78 |
+
{%- endif %}
|
79 |
+
{%- endfor %}
|
80 |
+
{%- if add_generation_prompt %}
|
81 |
+
{{- '<|im_start|>assistant\n' }}
|
82 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
83 |
+
{{- '<think>\n\n</think>\n\n' }}
|
84 |
+
{%- endif %}
|
85 |
+
{%- endif %}
|
config.json
CHANGED
@@ -4,7 +4,6 @@
|
|
4 |
],
|
5 |
"attention_bias": false,
|
6 |
"attention_dropout": 0.0,
|
7 |
-
"bos_token_id": 151643,
|
8 |
"eos_token_id": 151645,
|
9 |
"head_dim": 128,
|
10 |
"hidden_act": "silu",
|
@@ -17,14 +16,16 @@
|
|
17 |
"num_attention_heads": 40,
|
18 |
"num_hidden_layers": 40,
|
19 |
"num_key_value_heads": 8,
|
|
|
20 |
"rms_norm_eps": 1e-06,
|
21 |
"rope_scaling": null,
|
22 |
"rope_theta": 1000000,
|
23 |
"sliding_window": null,
|
24 |
"tie_word_embeddings": false,
|
25 |
"torch_dtype": "bfloat16",
|
26 |
-
"transformers_version": "4.
|
|
|
27 |
"use_cache": true,
|
28 |
"use_sliding_window": false,
|
29 |
"vocab_size": 151936
|
30 |
-
}
|
|
|
4 |
],
|
5 |
"attention_bias": false,
|
6 |
"attention_dropout": 0.0,
|
|
|
7 |
"eos_token_id": 151645,
|
8 |
"head_dim": 128,
|
9 |
"hidden_act": "silu",
|
|
|
16 |
"num_attention_heads": 40,
|
17 |
"num_hidden_layers": 40,
|
18 |
"num_key_value_heads": 8,
|
19 |
+
"pad_token_id": 151654,
|
20 |
"rms_norm_eps": 1e-06,
|
21 |
"rope_scaling": null,
|
22 |
"rope_theta": 1000000,
|
23 |
"sliding_window": null,
|
24 |
"tie_word_embeddings": false,
|
25 |
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.52.0.dev0",
|
27 |
+
"unsloth_fixed": true,
|
28 |
"use_cache": true,
|
29 |
"use_sliding_window": false,
|
30 |
"vocab_size": 151936
|
31 |
+
}
|
generation_config.json
CHANGED
@@ -1,13 +1,14 @@
|
|
1 |
{
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
|
|
|
1 |
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"max_length": 40960,
|
9 |
+
"pad_token_id": 151654,
|
10 |
+
"temperature": 0.6,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.95,
|
13 |
+
"transformers_version": "4.52.0.dev0"
|
14 |
+
}
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b7c095475ca39e673aa339dfe669679612a6cf8231ce409c008cb2414401822
|
3 |
+
size 4984780784
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ee8f4cad33bebdf5387187c7493b8bfee401f1921998bf7297965ae2ebf19422
|
3 |
+
size 4980892048
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a68f85d6c45099ef66038b57249af43b452afe4b59c4bfa984c2759348528de
|
3 |
+
size 4928485104
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b483edd0777123d178953e522fa099069845ef7b4bd373d9bd257edae252b4fd
|
3 |
+
size 4980892112
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a401da6bddc7e66f2d294f4f2cc4cff3de2ef70655a490e6442de1c682cc72e
|
3 |
+
size 4928485104
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:016ae7f1c9bb42fe1347ca9ee4f1a83be34d63be96e7883d76e5cf8f473946c9
|
3 |
+
size 4733130504
|
model.safetensors.index.json
CHANGED
@@ -3,448 +3,448 @@
|
|
3 |
"total_size": 29536614400
|
4 |
},
|
5 |
"weight_map": {
|
6 |
-
"lm_head.weight": "model-
|
7 |
-
"model.embed_tokens.weight": "model-00001-of-
|
8 |
-
"model.layers.0.input_layernorm.weight": "model-00001-of-
|
9 |
-
"model.layers.0.mlp.down_proj.weight": "model-00001-of-
|
10 |
-
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-
|
11 |
-
"model.layers.0.mlp.up_proj.weight": "model-00001-of-
|
12 |
-
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-
|
13 |
-
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-
|
14 |
-
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-
|
15 |
-
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-
|
16 |
-
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-
|
17 |
-
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-
|
18 |
-
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-
|
19 |
-
"model.layers.1.input_layernorm.weight": "model-00001-of-
|
20 |
-
"model.layers.1.mlp.down_proj.weight": "model-00001-of-
|
21 |
-
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-
|
22 |
-
"model.layers.1.mlp.up_proj.weight": "model-00001-of-
|
23 |
-
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-
|
24 |
-
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-
|
25 |
-
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-
|
26 |
-
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-
|
27 |
-
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-
|
28 |
-
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-
|
29 |
-
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-
|
30 |
-
"model.layers.10.input_layernorm.weight": "model-
|
31 |
-
"model.layers.10.mlp.down_proj.weight": "model-
|
32 |
-
"model.layers.10.mlp.gate_proj.weight": "model-
|
33 |
-
"model.layers.10.mlp.up_proj.weight": "model-
|
34 |
-
"model.layers.10.post_attention_layernorm.weight": "model-
|
35 |
-
"model.layers.10.self_attn.k_norm.weight": "model-
|
36 |
-
"model.layers.10.self_attn.k_proj.weight": "model-
|
37 |
-
"model.layers.10.self_attn.o_proj.weight": "model-
|
38 |
-
"model.layers.10.self_attn.q_norm.weight": "model-
|
39 |
-
"model.layers.10.self_attn.q_proj.weight": "model-
|
40 |
-
"model.layers.10.self_attn.v_proj.weight": "model-
|
41 |
-
"model.layers.11.input_layernorm.weight": "model-
|
42 |
-
"model.layers.11.mlp.down_proj.weight": "model-
|
43 |
-
"model.layers.11.mlp.gate_proj.weight": "model-
|
44 |
-
"model.layers.11.mlp.up_proj.weight": "model-
|
45 |
-
"model.layers.11.post_attention_layernorm.weight": "model-
|
46 |
-
"model.layers.11.self_attn.k_norm.weight": "model-
|
47 |
-
"model.layers.11.self_attn.k_proj.weight": "model-
|
48 |
-
"model.layers.11.self_attn.o_proj.weight": "model-
|
49 |
-
"model.layers.11.self_attn.q_norm.weight": "model-
|
50 |
-
"model.layers.11.self_attn.q_proj.weight": "model-
|
51 |
-
"model.layers.11.self_attn.v_proj.weight": "model-
|
52 |
-
"model.layers.12.input_layernorm.weight": "model-00003-of-
|
53 |
-
"model.layers.12.mlp.down_proj.weight": "model-00003-of-
|
54 |
-
"model.layers.12.mlp.gate_proj.weight": "model-
|
55 |
-
"model.layers.12.mlp.up_proj.weight": "model-
|
56 |
-
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-
|
57 |
-
"model.layers.12.self_attn.k_norm.weight": "model-
|
58 |
-
"model.layers.12.self_attn.k_proj.weight": "model-
|
59 |
-
"model.layers.12.self_attn.o_proj.weight": "model-
|
60 |
-
"model.layers.12.self_attn.q_norm.weight": "model-
|
61 |
-
"model.layers.12.self_attn.q_proj.weight": "model-
|
62 |
-
"model.layers.12.self_attn.v_proj.weight": "model-
|
63 |
-
"model.layers.13.input_layernorm.weight": "model-00003-of-
|
64 |
-
"model.layers.13.mlp.down_proj.weight": "model-00003-of-
|
65 |
-
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-
|
66 |
-
"model.layers.13.mlp.up_proj.weight": "model-00003-of-
|
67 |
-
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-
|
68 |
-
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-
|
69 |
-
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-
|
70 |
-
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-
|
71 |
-
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-
|
72 |
-
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-
|
73 |
-
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-
|
74 |
-
"model.layers.14.input_layernorm.weight": "model-00003-of-
|
75 |
-
"model.layers.14.mlp.down_proj.weight": "model-00003-of-
|
76 |
-
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-
|
77 |
-
"model.layers.14.mlp.up_proj.weight": "model-00003-of-
|
78 |
-
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-
|
79 |
-
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-
|
80 |
-
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-
|
81 |
-
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-
|
82 |
-
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-
|
83 |
-
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-
|
84 |
-
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-
|
85 |
-
"model.layers.15.input_layernorm.weight": "model-
|
86 |
-
"model.layers.15.mlp.down_proj.weight": "model-
|
87 |
-
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-
|
88 |
-
"model.layers.15.mlp.up_proj.weight": "model-
|
89 |
-
"model.layers.15.post_attention_layernorm.weight": "model-
|
90 |
-
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-
|
91 |
-
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-
|
92 |
-
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-
|
93 |
-
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-
|
94 |
-
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-
|
95 |
-
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-
|
96 |
-
"model.layers.16.input_layernorm.weight": "model-
|
97 |
-
"model.layers.16.mlp.down_proj.weight": "model-
|
98 |
-
"model.layers.16.mlp.gate_proj.weight": "model-
|
99 |
-
"model.layers.16.mlp.up_proj.weight": "model-
|
100 |
-
"model.layers.16.post_attention_layernorm.weight": "model-
|
101 |
-
"model.layers.16.self_attn.k_norm.weight": "model-
|
102 |
-
"model.layers.16.self_attn.k_proj.weight": "model-
|
103 |
-
"model.layers.16.self_attn.o_proj.weight": "model-
|
104 |
-
"model.layers.16.self_attn.q_norm.weight": "model-
|
105 |
-
"model.layers.16.self_attn.q_proj.weight": "model-
|
106 |
-
"model.layers.16.self_attn.v_proj.weight": "model-
|
107 |
-
"model.layers.17.input_layernorm.weight": "model-
|
108 |
-
"model.layers.17.mlp.down_proj.weight": "model-
|
109 |
-
"model.layers.17.mlp.gate_proj.weight": "model-
|
110 |
-
"model.layers.17.mlp.up_proj.weight": "model-
|
111 |
-
"model.layers.17.post_attention_layernorm.weight": "model-
|
112 |
-
"model.layers.17.self_attn.k_norm.weight": "model-
|
113 |
-
"model.layers.17.self_attn.k_proj.weight": "model-
|
114 |
-
"model.layers.17.self_attn.o_proj.weight": "model-
|
115 |
-
"model.layers.17.self_attn.q_norm.weight": "model-
|
116 |
-
"model.layers.17.self_attn.q_proj.weight": "model-
|
117 |
-
"model.layers.17.self_attn.v_proj.weight": "model-
|
118 |
-
"model.layers.18.input_layernorm.weight": "model-
|
119 |
-
"model.layers.18.mlp.down_proj.weight": "model-
|
120 |
-
"model.layers.18.mlp.gate_proj.weight": "model-
|
121 |
-
"model.layers.18.mlp.up_proj.weight": "model-
|
122 |
-
"model.layers.18.post_attention_layernorm.weight": "model-
|
123 |
-
"model.layers.18.self_attn.k_norm.weight": "model-
|
124 |
-
"model.layers.18.self_attn.k_proj.weight": "model-
|
125 |
-
"model.layers.18.self_attn.o_proj.weight": "model-
|
126 |
-
"model.layers.18.self_attn.q_norm.weight": "model-
|
127 |
-
"model.layers.18.self_attn.q_proj.weight": "model-
|
128 |
-
"model.layers.18.self_attn.v_proj.weight": "model-
|
129 |
-
"model.layers.19.input_layernorm.weight": "model-
|
130 |
-
"model.layers.19.mlp.down_proj.weight": "model-
|
131 |
-
"model.layers.19.mlp.gate_proj.weight": "model-
|
132 |
-
"model.layers.19.mlp.up_proj.weight": "model-
|
133 |
-
"model.layers.19.post_attention_layernorm.weight": "model-
|
134 |
-
"model.layers.19.self_attn.k_norm.weight": "model-
|
135 |
-
"model.layers.19.self_attn.k_proj.weight": "model-
|
136 |
-
"model.layers.19.self_attn.o_proj.weight": "model-
|
137 |
-
"model.layers.19.self_attn.q_norm.weight": "model-
|
138 |
-
"model.layers.19.self_attn.q_proj.weight": "model-
|
139 |
-
"model.layers.19.self_attn.v_proj.weight": "model-
|
140 |
-
"model.layers.2.input_layernorm.weight": "model-00001-of-
|
141 |
-
"model.layers.2.mlp.down_proj.weight": "model-00001-of-
|
142 |
-
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-
|
143 |
-
"model.layers.2.mlp.up_proj.weight": "model-00001-of-
|
144 |
-
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-
|
145 |
-
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-
|
146 |
-
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-
|
147 |
-
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-
|
148 |
-
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-
|
149 |
-
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-
|
150 |
-
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-
|
151 |
-
"model.layers.20.input_layernorm.weight": "model-00004-of-
|
152 |
-
"model.layers.20.mlp.down_proj.weight": "model-00004-of-
|
153 |
-
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-
|
154 |
-
"model.layers.20.mlp.up_proj.weight": "model-00004-of-
|
155 |
-
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-
|
156 |
-
"model.layers.20.self_attn.k_norm.weight": "model-
|
157 |
-
"model.layers.20.self_attn.k_proj.weight": "model-
|
158 |
-
"model.layers.20.self_attn.o_proj.weight": "model-
|
159 |
-
"model.layers.20.self_attn.q_norm.weight": "model-
|
160 |
-
"model.layers.20.self_attn.q_proj.weight": "model-
|
161 |
-
"model.layers.20.self_attn.v_proj.weight": "model-
|
162 |
-
"model.layers.21.input_layernorm.weight": "model-
|
163 |
-
"model.layers.21.mlp.down_proj.weight": "model-
|
164 |
-
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-
|
165 |
-
"model.layers.21.mlp.up_proj.weight": "model-
|
166 |
-
"model.layers.21.post_attention_layernorm.weight": "model-
|
167 |
-
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-
|
168 |
-
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-
|
169 |
-
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-
|
170 |
-
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-
|
171 |
-
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-
|
172 |
-
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-
|
173 |
-
"model.layers.22.input_layernorm.weight": "model-
|
174 |
-
"model.layers.22.mlp.down_proj.weight": "model-
|
175 |
-
"model.layers.22.mlp.gate_proj.weight": "model-
|
176 |
-
"model.layers.22.mlp.up_proj.weight": "model-
|
177 |
-
"model.layers.22.post_attention_layernorm.weight": "model-
|
178 |
-
"model.layers.22.self_attn.k_norm.weight": "model-
|
179 |
-
"model.layers.22.self_attn.k_proj.weight": "model-
|
180 |
-
"model.layers.22.self_attn.o_proj.weight": "model-
|
181 |
-
"model.layers.22.self_attn.q_norm.weight": "model-
|
182 |
-
"model.layers.22.self_attn.q_proj.weight": "model-
|
183 |
-
"model.layers.22.self_attn.v_proj.weight": "model-
|
184 |
-
"model.layers.23.input_layernorm.weight": "model-
|
185 |
-
"model.layers.23.mlp.down_proj.weight": "model-
|
186 |
-
"model.layers.23.mlp.gate_proj.weight": "model-
|
187 |
-
"model.layers.23.mlp.up_proj.weight": "model-
|
188 |
-
"model.layers.23.post_attention_layernorm.weight": "model-
|
189 |
-
"model.layers.23.self_attn.k_norm.weight": "model-
|
190 |
-
"model.layers.23.self_attn.k_proj.weight": "model-
|
191 |
-
"model.layers.23.self_attn.o_proj.weight": "model-
|
192 |
-
"model.layers.23.self_attn.q_norm.weight": "model-
|
193 |
-
"model.layers.23.self_attn.q_proj.weight": "model-
|
194 |
-
"model.layers.23.self_attn.v_proj.weight": "model-
|
195 |
-
"model.layers.24.input_layernorm.weight": "model-
|
196 |
-
"model.layers.24.mlp.down_proj.weight": "model-
|
197 |
-
"model.layers.24.mlp.gate_proj.weight": "model-
|
198 |
-
"model.layers.24.mlp.up_proj.weight": "model-
|
199 |
-
"model.layers.24.post_attention_layernorm.weight": "model-
|
200 |
-
"model.layers.24.self_attn.k_norm.weight": "model-
|
201 |
-
"model.layers.24.self_attn.k_proj.weight": "model-
|
202 |
-
"model.layers.24.self_attn.o_proj.weight": "model-
|
203 |
-
"model.layers.24.self_attn.q_norm.weight": "model-
|
204 |
-
"model.layers.24.self_attn.q_proj.weight": "model-
|
205 |
-
"model.layers.24.self_attn.v_proj.weight": "model-
|
206 |
-
"model.layers.25.input_layernorm.weight": "model-
|
207 |
-
"model.layers.25.mlp.down_proj.weight": "model-
|
208 |
-
"model.layers.25.mlp.gate_proj.weight": "model-
|
209 |
-
"model.layers.25.mlp.up_proj.weight": "model-
|
210 |
-
"model.layers.25.post_attention_layernorm.weight": "model-
|
211 |
-
"model.layers.25.self_attn.k_norm.weight": "model-
|
212 |
-
"model.layers.25.self_attn.k_proj.weight": "model-
|
213 |
-
"model.layers.25.self_attn.o_proj.weight": "model-
|
214 |
-
"model.layers.25.self_attn.q_norm.weight": "model-
|
215 |
-
"model.layers.25.self_attn.q_proj.weight": "model-
|
216 |
-
"model.layers.25.self_attn.v_proj.weight": "model-
|
217 |
-
"model.layers.26.input_layernorm.weight": "model-
|
218 |
-
"model.layers.26.mlp.down_proj.weight": "model-
|
219 |
-
"model.layers.26.mlp.gate_proj.weight": "model-
|
220 |
-
"model.layers.26.mlp.up_proj.weight": "model-
|
221 |
-
"model.layers.26.post_attention_layernorm.weight": "model-
|
222 |
-
"model.layers.26.self_attn.k_norm.weight": "model-
|
223 |
-
"model.layers.26.self_attn.k_proj.weight": "model-
|
224 |
-
"model.layers.26.self_attn.o_proj.weight": "model-
|
225 |
-
"model.layers.26.self_attn.q_norm.weight": "model-
|
226 |
-
"model.layers.26.self_attn.q_proj.weight": "model-
|
227 |
-
"model.layers.26.self_attn.v_proj.weight": "model-
|
228 |
-
"model.layers.27.input_layernorm.weight": "model-
|
229 |
-
"model.layers.27.mlp.down_proj.weight": "model-
|
230 |
-
"model.layers.27.mlp.gate_proj.weight": "model-
|
231 |
-
"model.layers.27.mlp.up_proj.weight": "model-
|
232 |
-
"model.layers.27.post_attention_layernorm.weight": "model-
|
233 |
-
"model.layers.27.self_attn.k_norm.weight": "model-
|
234 |
-
"model.layers.27.self_attn.k_proj.weight": "model-
|
235 |
-
"model.layers.27.self_attn.o_proj.weight": "model-
|
236 |
-
"model.layers.27.self_attn.q_norm.weight": "model-
|
237 |
-
"model.layers.27.self_attn.q_proj.weight": "model-
|
238 |
-
"model.layers.27.self_attn.v_proj.weight": "model-
|
239 |
-
"model.layers.28.input_layernorm.weight": "model-
|
240 |
-
"model.layers.28.mlp.down_proj.weight": "model-
|
241 |
-
"model.layers.28.mlp.gate_proj.weight": "model-
|
242 |
-
"model.layers.28.mlp.up_proj.weight": "model-
|
243 |
-
"model.layers.28.post_attention_layernorm.weight": "model-
|
244 |
-
"model.layers.28.self_attn.k_norm.weight": "model-
|
245 |
-
"model.layers.28.self_attn.k_proj.weight": "model-
|
246 |
-
"model.layers.28.self_attn.o_proj.weight": "model-
|
247 |
-
"model.layers.28.self_attn.q_norm.weight": "model-
|
248 |
-
"model.layers.28.self_attn.q_proj.weight": "model-
|
249 |
-
"model.layers.28.self_attn.v_proj.weight": "model-
|
250 |
-
"model.layers.29.input_layernorm.weight": "model-
|
251 |
-
"model.layers.29.mlp.down_proj.weight": "model-
|
252 |
-
"model.layers.29.mlp.gate_proj.weight": "model-
|
253 |
-
"model.layers.29.mlp.up_proj.weight": "model-
|
254 |
-
"model.layers.29.post_attention_layernorm.weight": "model-
|
255 |
-
"model.layers.29.self_attn.k_norm.weight": "model-
|
256 |
-
"model.layers.29.self_attn.k_proj.weight": "model-
|
257 |
-
"model.layers.29.self_attn.o_proj.weight": "model-
|
258 |
-
"model.layers.29.self_attn.q_norm.weight": "model-
|
259 |
-
"model.layers.29.self_attn.q_proj.weight": "model-
|
260 |
-
"model.layers.29.self_attn.v_proj.weight": "model-
|
261 |
-
"model.layers.3.input_layernorm.weight": "model-
|
262 |
-
"model.layers.3.mlp.down_proj.weight": "model-
|
263 |
-
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-
|
264 |
-
"model.layers.3.mlp.up_proj.weight": "model-
|
265 |
-
"model.layers.3.post_attention_layernorm.weight": "model-
|
266 |
-
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-
|
267 |
-
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-
|
268 |
-
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-
|
269 |
-
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-
|
270 |
-
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-
|
271 |
-
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-
|
272 |
-
"model.layers.30.input_layernorm.weight": "model-
|
273 |
-
"model.layers.30.mlp.down_proj.weight": "model-
|
274 |
-
"model.layers.30.mlp.gate_proj.weight": "model-
|
275 |
-
"model.layers.30.mlp.up_proj.weight": "model-
|
276 |
-
"model.layers.30.post_attention_layernorm.weight": "model-
|
277 |
-
"model.layers.30.self_attn.k_norm.weight": "model-
|
278 |
-
"model.layers.30.self_attn.k_proj.weight": "model-
|
279 |
-
"model.layers.30.self_attn.o_proj.weight": "model-
|
280 |
-
"model.layers.30.self_attn.q_norm.weight": "model-
|
281 |
-
"model.layers.30.self_attn.q_proj.weight": "model-
|
282 |
-
"model.layers.30.self_attn.v_proj.weight": "model-
|
283 |
-
"model.layers.31.input_layernorm.weight": "model-
|
284 |
-
"model.layers.31.mlp.down_proj.weight": "model-
|
285 |
-
"model.layers.31.mlp.gate_proj.weight": "model-
|
286 |
-
"model.layers.31.mlp.up_proj.weight": "model-
|
287 |
-
"model.layers.31.post_attention_layernorm.weight": "model-
|
288 |
-
"model.layers.31.self_attn.k_norm.weight": "model-
|
289 |
-
"model.layers.31.self_attn.k_proj.weight": "model-
|
290 |
-
"model.layers.31.self_attn.o_proj.weight": "model-
|
291 |
-
"model.layers.31.self_attn.q_norm.weight": "model-
|
292 |
-
"model.layers.31.self_attn.q_proj.weight": "model-
|
293 |
-
"model.layers.31.self_attn.v_proj.weight": "model-
|
294 |
-
"model.layers.32.input_layernorm.weight": "model-
|
295 |
-
"model.layers.32.mlp.down_proj.weight": "model-
|
296 |
-
"model.layers.32.mlp.gate_proj.weight": "model-
|
297 |
-
"model.layers.32.mlp.up_proj.weight": "model-
|
298 |
-
"model.layers.32.post_attention_layernorm.weight": "model-
|
299 |
-
"model.layers.32.self_attn.k_norm.weight": "model-
|
300 |
-
"model.layers.32.self_attn.k_proj.weight": "model-
|
301 |
-
"model.layers.32.self_attn.o_proj.weight": "model-
|
302 |
-
"model.layers.32.self_attn.q_norm.weight": "model-
|
303 |
-
"model.layers.32.self_attn.q_proj.weight": "model-
|
304 |
-
"model.layers.32.self_attn.v_proj.weight": "model-
|
305 |
-
"model.layers.33.input_layernorm.weight": "model-
|
306 |
-
"model.layers.33.mlp.down_proj.weight": "model-
|
307 |
-
"model.layers.33.mlp.gate_proj.weight": "model-
|
308 |
-
"model.layers.33.mlp.up_proj.weight": "model-
|
309 |
-
"model.layers.33.post_attention_layernorm.weight": "model-
|
310 |
-
"model.layers.33.self_attn.k_norm.weight": "model-
|
311 |
-
"model.layers.33.self_attn.k_proj.weight": "model-
|
312 |
-
"model.layers.33.self_attn.o_proj.weight": "model-
|
313 |
-
"model.layers.33.self_attn.q_norm.weight": "model-
|
314 |
-
"model.layers.33.self_attn.q_proj.weight": "model-
|
315 |
-
"model.layers.33.self_attn.v_proj.weight": "model-
|
316 |
-
"model.layers.34.input_layernorm.weight": "model-
|
317 |
-
"model.layers.34.mlp.down_proj.weight": "model-
|
318 |
-
"model.layers.34.mlp.gate_proj.weight": "model-
|
319 |
-
"model.layers.34.mlp.up_proj.weight": "model-
|
320 |
-
"model.layers.34.post_attention_layernorm.weight": "model-
|
321 |
-
"model.layers.34.self_attn.k_norm.weight": "model-
|
322 |
-
"model.layers.34.self_attn.k_proj.weight": "model-
|
323 |
-
"model.layers.34.self_attn.o_proj.weight": "model-
|
324 |
-
"model.layers.34.self_attn.q_norm.weight": "model-
|
325 |
-
"model.layers.34.self_attn.q_proj.weight": "model-
|
326 |
-
"model.layers.34.self_attn.v_proj.weight": "model-
|
327 |
-
"model.layers.35.input_layernorm.weight": "model-
|
328 |
-
"model.layers.35.mlp.down_proj.weight": "model-
|
329 |
-
"model.layers.35.mlp.gate_proj.weight": "model-
|
330 |
-
"model.layers.35.mlp.up_proj.weight": "model-
|
331 |
-
"model.layers.35.post_attention_layernorm.weight": "model-
|
332 |
-
"model.layers.35.self_attn.k_norm.weight": "model-
|
333 |
-
"model.layers.35.self_attn.k_proj.weight": "model-
|
334 |
-
"model.layers.35.self_attn.o_proj.weight": "model-
|
335 |
-
"model.layers.35.self_attn.q_norm.weight": "model-
|
336 |
-
"model.layers.35.self_attn.q_proj.weight": "model-
|
337 |
-
"model.layers.35.self_attn.v_proj.weight": "model-
|
338 |
-
"model.layers.36.input_layernorm.weight": "model-
|
339 |
-
"model.layers.36.mlp.down_proj.weight": "model-
|
340 |
-
"model.layers.36.mlp.gate_proj.weight": "model-
|
341 |
-
"model.layers.36.mlp.up_proj.weight": "model-
|
342 |
-
"model.layers.36.post_attention_layernorm.weight": "model-
|
343 |
-
"model.layers.36.self_attn.k_norm.weight": "model-
|
344 |
-
"model.layers.36.self_attn.k_proj.weight": "model-
|
345 |
-
"model.layers.36.self_attn.o_proj.weight": "model-
|
346 |
-
"model.layers.36.self_attn.q_norm.weight": "model-
|
347 |
-
"model.layers.36.self_attn.q_proj.weight": "model-
|
348 |
-
"model.layers.36.self_attn.v_proj.weight": "model-
|
349 |
-
"model.layers.37.input_layernorm.weight": "model-
|
350 |
-
"model.layers.37.mlp.down_proj.weight": "model-
|
351 |
-
"model.layers.37.mlp.gate_proj.weight": "model-
|
352 |
-
"model.layers.37.mlp.up_proj.weight": "model-
|
353 |
-
"model.layers.37.post_attention_layernorm.weight": "model-
|
354 |
-
"model.layers.37.self_attn.k_norm.weight": "model-
|
355 |
-
"model.layers.37.self_attn.k_proj.weight": "model-
|
356 |
-
"model.layers.37.self_attn.o_proj.weight": "model-
|
357 |
-
"model.layers.37.self_attn.q_norm.weight": "model-
|
358 |
-
"model.layers.37.self_attn.q_proj.weight": "model-
|
359 |
-
"model.layers.37.self_attn.v_proj.weight": "model-
|
360 |
-
"model.layers.38.input_layernorm.weight": "model-
|
361 |
-
"model.layers.38.mlp.down_proj.weight": "model-
|
362 |
-
"model.layers.38.mlp.gate_proj.weight": "model-
|
363 |
-
"model.layers.38.mlp.up_proj.weight": "model-
|
364 |
-
"model.layers.38.post_attention_layernorm.weight": "model-
|
365 |
-
"model.layers.38.self_attn.k_norm.weight": "model-
|
366 |
-
"model.layers.38.self_attn.k_proj.weight": "model-
|
367 |
-
"model.layers.38.self_attn.o_proj.weight": "model-
|
368 |
-
"model.layers.38.self_attn.q_norm.weight": "model-
|
369 |
-
"model.layers.38.self_attn.q_proj.weight": "model-
|
370 |
-
"model.layers.38.self_attn.v_proj.weight": "model-
|
371 |
-
"model.layers.39.input_layernorm.weight": "model-
|
372 |
-
"model.layers.39.mlp.down_proj.weight": "model-
|
373 |
-
"model.layers.39.mlp.gate_proj.weight": "model-
|
374 |
-
"model.layers.39.mlp.up_proj.weight": "model-
|
375 |
-
"model.layers.39.post_attention_layernorm.weight": "model-
|
376 |
-
"model.layers.39.self_attn.k_norm.weight": "model-
|
377 |
-
"model.layers.39.self_attn.k_proj.weight": "model-
|
378 |
-
"model.layers.39.self_attn.o_proj.weight": "model-
|
379 |
-
"model.layers.39.self_attn.q_norm.weight": "model-
|
380 |
-
"model.layers.39.self_attn.q_proj.weight": "model-
|
381 |
-
"model.layers.39.self_attn.v_proj.weight": "model-
|
382 |
-
"model.layers.4.input_layernorm.weight": "model-
|
383 |
-
"model.layers.4.mlp.down_proj.weight": "model-
|
384 |
-
"model.layers.4.mlp.gate_proj.weight": "model-
|
385 |
-
"model.layers.4.mlp.up_proj.weight": "model-
|
386 |
-
"model.layers.4.post_attention_layernorm.weight": "model-
|
387 |
-
"model.layers.4.self_attn.k_norm.weight": "model-
|
388 |
-
"model.layers.4.self_attn.k_proj.weight": "model-
|
389 |
-
"model.layers.4.self_attn.o_proj.weight": "model-
|
390 |
-
"model.layers.4.self_attn.q_norm.weight": "model-
|
391 |
-
"model.layers.4.self_attn.q_proj.weight": "model-
|
392 |
-
"model.layers.4.self_attn.v_proj.weight": "model-
|
393 |
-
"model.layers.5.input_layernorm.weight": "model-00002-of-
|
394 |
-
"model.layers.5.mlp.down_proj.weight": "model-00002-of-
|
395 |
-
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-
|
396 |
-
"model.layers.5.mlp.up_proj.weight": "model-00002-of-
|
397 |
-
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-
|
398 |
-
"model.layers.5.self_attn.k_norm.weight": "model-
|
399 |
-
"model.layers.5.self_attn.k_proj.weight": "model-
|
400 |
-
"model.layers.5.self_attn.o_proj.weight": "model-
|
401 |
-
"model.layers.5.self_attn.q_norm.weight": "model-
|
402 |
-
"model.layers.5.self_attn.q_proj.weight": "model-
|
403 |
-
"model.layers.5.self_attn.v_proj.weight": "model-
|
404 |
-
"model.layers.6.input_layernorm.weight": "model-00002-of-
|
405 |
-
"model.layers.6.mlp.down_proj.weight": "model-00002-of-
|
406 |
-
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-
|
407 |
-
"model.layers.6.mlp.up_proj.weight": "model-00002-of-
|
408 |
-
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-
|
409 |
-
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-
|
410 |
-
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-
|
411 |
-
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-
|
412 |
-
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-
|
413 |
-
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-
|
414 |
-
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-
|
415 |
-
"model.layers.7.input_layernorm.weight": "model-00002-of-
|
416 |
-
"model.layers.7.mlp.down_proj.weight": "model-00002-of-
|
417 |
-
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-
|
418 |
-
"model.layers.7.mlp.up_proj.weight": "model-00002-of-
|
419 |
-
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-
|
420 |
-
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-
|
421 |
-
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-
|
422 |
-
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-
|
423 |
-
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-
|
424 |
-
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-
|
425 |
-
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-
|
426 |
-
"model.layers.8.input_layernorm.weight": "model-00002-of-
|
427 |
-
"model.layers.8.mlp.down_proj.weight": "model-00002-of-
|
428 |
-
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-
|
429 |
-
"model.layers.8.mlp.up_proj.weight": "model-00002-of-
|
430 |
-
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-
|
431 |
-
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-
|
432 |
-
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-
|
433 |
-
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-
|
434 |
-
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-
|
435 |
-
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-
|
436 |
-
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-
|
437 |
-
"model.layers.9.input_layernorm.weight": "model-
|
438 |
-
"model.layers.9.mlp.down_proj.weight": "model-
|
439 |
-
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-
|
440 |
-
"model.layers.9.mlp.up_proj.weight": "model-
|
441 |
-
"model.layers.9.post_attention_layernorm.weight": "model-
|
442 |
-
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-
|
443 |
-
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-
|
444 |
-
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-
|
445 |
-
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-
|
446 |
-
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-
|
447 |
-
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-
|
448 |
-
"model.norm.weight": "model-
|
449 |
}
|
450 |
}
|
|
|
3 |
"total_size": 29536614400
|
4 |
},
|
5 |
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
30 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
31 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
32 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
33 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
34 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
42 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
43 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
44 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
45 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
52 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
55 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
56 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
63 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
97 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
98 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
99 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
100 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
107 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
108 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
109 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
110 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
111 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
118 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
119 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
120 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
121 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
122 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
129 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
130 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
131 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
132 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
133 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
140 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
141 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
142 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
143 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
144 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
151 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
153 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
154 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
155 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
162 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
163 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
164 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
165 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
166 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
173 |
+
"model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
174 |
+
"model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
175 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
176 |
+
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
177 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
184 |
+
"model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
185 |
+
"model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
186 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
187 |
+
"model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
188 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
195 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
196 |
+
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
197 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
198 |
+
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
199 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
206 |
+
"model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
207 |
+
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
208 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
209 |
+
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
210 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
217 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
218 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
219 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
220 |
+
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
221 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
228 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
229 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
230 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
231 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
232 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
239 |
+
"model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
240 |
+
"model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
241 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
242 |
+
"model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
243 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
250 |
+
"model.layers.29.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
251 |
+
"model.layers.29.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
252 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
253 |
+
"model.layers.29.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
254 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
261 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
262 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
263 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
264 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
265 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
272 |
+
"model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
273 |
+
"model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
274 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
275 |
+
"model.layers.30.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
276 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
283 |
+
"model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
284 |
+
"model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
285 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
286 |
+
"model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
287 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
294 |
+
"model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
295 |
+
"model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
296 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
297 |
+
"model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
298 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
299 |
+
"model.layers.32.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
300 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
301 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
302 |
+
"model.layers.32.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
303 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
304 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
305 |
+
"model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
306 |
+
"model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
307 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
308 |
+
"model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
309 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
310 |
+
"model.layers.33.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
311 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
312 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
313 |
+
"model.layers.33.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
314 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
315 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
316 |
+
"model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
317 |
+
"model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
318 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
319 |
+
"model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
320 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
321 |
+
"model.layers.34.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
322 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
323 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
324 |
+
"model.layers.34.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
325 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
326 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
327 |
+
"model.layers.35.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
328 |
+
"model.layers.35.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
329 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
330 |
+
"model.layers.35.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
331 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
332 |
+
"model.layers.35.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
333 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
334 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
335 |
+
"model.layers.35.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
336 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
337 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
338 |
+
"model.layers.36.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
339 |
+
"model.layers.36.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
340 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
341 |
+
"model.layers.36.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
342 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
343 |
+
"model.layers.36.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
344 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
345 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
346 |
+
"model.layers.36.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
347 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
348 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
349 |
+
"model.layers.37.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
350 |
+
"model.layers.37.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
351 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
352 |
+
"model.layers.37.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
353 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
354 |
+
"model.layers.37.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
355 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
356 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
357 |
+
"model.layers.37.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
358 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
359 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
360 |
+
"model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
361 |
+
"model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
362 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
363 |
+
"model.layers.38.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
364 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
365 |
+
"model.layers.38.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
366 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
367 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
368 |
+
"model.layers.38.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
369 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
370 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
371 |
+
"model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
372 |
+
"model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
373 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
374 |
+
"model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
375 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
376 |
+
"model.layers.39.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
377 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
378 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
379 |
+
"model.layers.39.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
380 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
381 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
382 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
383 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
384 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
385 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
386 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
387 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
388 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
389 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
390 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
391 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
392 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
393 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
394 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
395 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
396 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
397 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
398 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
399 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
400 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
401 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
402 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
403 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
404 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
405 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
406 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
407 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
408 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
409 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
410 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
411 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
412 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
413 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
414 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
415 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
416 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
417 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
418 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
419 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
420 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
421 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
422 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
423 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
424 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
425 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
426 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
427 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
428 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
429 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
430 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
431 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
432 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
433 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
434 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
435 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
436 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
437 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
438 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
439 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
440 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
441 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
442 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
443 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
444 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
445 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
446 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
447 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
448 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
449 |
}
|
450 |
}
|
special_tokens_map.json
CHANGED
@@ -22,7 +22,7 @@
|
|
22 |
"single_word": false
|
23 |
},
|
24 |
"pad_token": {
|
25 |
-
"content": "<|
|
26 |
"lstrip": false,
|
27 |
"normalized": false,
|
28 |
"rstrip": false,
|
|
|
22 |
"single_word": false
|
23 |
},
|
24 |
"pad_token": {
|
25 |
+
"content": "<|vision_pad|>",
|
26 |
"lstrip": false,
|
27 |
"normalized": false,
|
28 |
"rstrip": false,
|
tokenizer_config.json
CHANGED
@@ -227,13 +227,15 @@
|
|
227 |
"<|video_pad|>"
|
228 |
],
|
229 |
"bos_token": null,
|
230 |
-
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
231 |
"clean_up_tokenization_spaces": false,
|
232 |
"eos_token": "<|im_end|>",
|
233 |
"errors": "replace",
|
234 |
-
"
|
235 |
-
"
|
|
|
|
|
236 |
"split_special_tokens": false,
|
237 |
"tokenizer_class": "Qwen2Tokenizer",
|
238 |
-
"unk_token": null
|
|
|
239 |
}
|
|
|
227 |
"<|video_pad|>"
|
228 |
],
|
229 |
"bos_token": null,
|
|
|
230 |
"clean_up_tokenization_spaces": false,
|
231 |
"eos_token": "<|im_end|>",
|
232 |
"errors": "replace",
|
233 |
+
"extra_special_tokens": {},
|
234 |
+
"model_max_length": 40960,
|
235 |
+
"pad_token": "<|vision_pad|>",
|
236 |
+
"padding_side": "left",
|
237 |
"split_special_tokens": false,
|
238 |
"tokenizer_class": "Qwen2Tokenizer",
|
239 |
+
"unk_token": null,
|
240 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}"
|
241 |
}
|