Zhitao-He LYUZongwei commited on
Commit
a0ada5f
·
verified ·
1 Parent(s): 415adca

Initial release (#1)

Browse files

- Initial release (eaa6b9c21fe0e1a07ec3be38f43fb63bdf3ac6d8)


Co-authored-by: LYU,Zongwei <LYUZongwei@users.noreply.huggingface.co>

.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
.msc ADDED
Binary file (2.38 kB). View file
 
.mv ADDED
@@ -0,0 +1 @@
 
 
1
+ Revision:master,CreatedAt:1755004394
Modelfile ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # ollama modelfile auto-generated by llamafactory
2
+
3
+ FROM .
4
+
5
+ TEMPLATE """{{ if .System }}<|im_start|>system
6
+ {{ .System }}<|im_end|>
7
+ {{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|im_start|>user
8
+ {{ .Content }}<|im_end|>
9
+ <|im_start|>assistant
10
+ {{ else if eq .Role "assistant" }}{{ .Content }}<|im_end|>
11
+ {{ end }}{{ end }}"""
12
+
13
+ SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""
14
+
15
+ PARAMETER stop "<|im_end|>"
16
+ PARAMETER num_ctx 4096
README.md ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ model_type:
4
+ - reward-model
5
+ domain:
6
+ - nlp
7
+ language:
8
+ - en
9
+ - zh
10
+ metrics:
11
+ - spearman
12
+ tags:
13
+ - evaluator
14
+ - reward-model
15
+ - rebuttal
16
+ tools:
17
+ - vllm
18
+ - openai api
19
+ ---
20
+ # Rebuttal-RM 🏅
21
+ ## Introduction
22
+ Rebuttal-RM is an open-source scorer that emulates human reviewers when judging an author’s reply to a peer-review comment.
23
+
24
+ #### 1.1 Purpose
25
+ * Produce four rubric-aligned 0-to-10 scores
26
+ 1. Attitude (tone & professionalism)
27
+ 2. Clarity (logical flow)
28
+ 3. Persuasiveness (strength of evidence)
29
+ 4. Constructiveness (actionable improvement)
30
+ * Return a short textual explanation for transparency.
31
+ * Serve both as (i) a public benchmark and (ii) the reward signal for RebuttalAgent RL.
32
+
33
+ #### 1.2 Model I/O
34
+ Input : {relevant paper chunks} + {full review Ri} + {target comment} + {candidate response}
35
+ Output: {
36
+ "score": {Attitude, Clarity, Persuasiveness, Constructiveness},
37
+ "explanation": "..."
38
+ }
39
+
40
+ #### 1.3 Model Recipe
41
+ * Backbone: **Qwen-3-8B-Chat**
42
+ * Supervised fine-tuning on the RM_Bench dataset
43
+
44
+
45
+ The resulting model offers reproducible, high-fidelity evaluation
46
+
47
+ ---
48
+
49
+ ## 2 Performance (agreement with human ratings)
50
+
51
+ ### Table – Consistency between automatic scores and human ratings
52
+ *Higher values indicate better agreement.*
53
+ ### Consistency between automatic scores and human ratings (higher = better)
54
+ | Scoring Model | Attitude r | Attitude β | Attitude f | Clarity r | Clarity β | Clarity f | Persuasiveness r | Persuasiveness β | Persuasiveness f | Constructiveness r | Constructiveness β | Constructiveness f | Avg |
55
+ |-------------- |:---------:|:----------:|:----------:|:---------:|:----------:|:----------:|:-----------------:|:----------------:|:----------------:|:-------------------:|:-------------------:|:------------------:|:---:|
56
+ | Qwen-3-8B | 0.718 | 0.672 | 0.620 | 0.609 | 0.568 | 0.710 | 0.622 | 0.577 | 0.690 | 0.718 | 0.745 | 0.720 | 0.664 |
57
+ | Llama-3-8B | 0.297 | 0.347 | 0.540 | 0.158 | 0.047 | 0.380 | 0.272 | 0.245 | 0.560 | 0.424 | 0.457 | 0.460 | 0.349 |
58
+ | GLM-4-9B | 0.420 | 0.475 | 0.460 | 0.467 | 0.436 | 0.730 | 0.369 | 0.361 | 0.700 | 0.561 | 0.519 | 0.570 | 0.506 |
59
+ | GPT-4.1 | 0.743 | 0.712 | 0.800 | 0.739 | 0.671 | 0.750 | 0.779 | 0.763 | 0.740 | 0.804 | 0.756 | 0.680 | 0.745 |
60
+ | DeepSeek-R1 | 0.646 | 0.633 | 0.790 | 0.708 | 0.615 | 0.760 | 0.710 | 0.664 | 0.720 | 0.742 | 0.701 | 0.620 | 0.705 |
61
+ | DeepSeek-V3 | 0.699 | 0.733 | 0.710 | 0.687 | 0.578 | 0.740 | 0.697 | 0.652 | 0.770 | 0.771 | 0.719 | 0.750 | 0.692 |
62
+ | Gemini-2.5 | 0.620 | 0.509 | 0.750 | 0.605 | 0.593 | 0.540 | 0.627 | 0.607 | 0.520 | 0.711 | 0.705 | 0.610 | 0.616 |
63
+ | Claude-3.5 | 0.569 | 0.635 | 0.720 | 0.704 | 0.670 | 0.680 | 0.706 | 0.686 | 0.670 | 0.753 | 0.738 | 0.630 | 0.680 |
64
+ | **Rebuttal-RM**| **0.839** | **0.828** | **0.910** | **0.753** | **0.677** | **0.790** | **0.821** | **0.801** | **0.820** | **0.839** | **0.835** | **0.810** | **0.812** |
65
+
66
+
67
+ ## 3 Deployment / Usage
68
+
69
+
70
+ ### 3.1 Run with vLLM (OpenAI protocol)
71
+ ```bash
72
+ pip install "vllm>=0.4.2"
73
+ python -m vllm.entrypoints.openai.api_server \
74
+ --model Zhitao-He/Rebuttal-RM \
75
+ --dtype auto \
76
+ --port 8000
77
+ ```
78
+ ### 3.2 Query via the official openai SDK
79
+ ```
80
+ python
81
+
82
+ import openai
83
+ openai.api_key = "EMPTY"
84
+ openai.base_url = "http://localhost:8000/v1"
85
+
86
+ prompt = f"""
87
+ The whole review content is{Full_Review_Content}
88
+ The target comment content is{Target_Comment}.
89
+ The best relevant paper fragment is{Relevant_Paper_Fragment}.
90
+ The response is{response}
91
+ """
92
+
93
+ resp = openai.chat.completions.create(
94
+ model="Zhitao-He/Rebuttal-RM",
95
+ messages=[
96
+ {"role": "system", "content": system_prompt},
97
+ {"role": "user", "content": user_prompt}
98
+ ],
99
+ temperature=0.7
100
+ )
101
+ print(resp.choices[0].message.content)
102
+
103
+ ```
104
+ ### 3.3 Default System Prompt (system_prompt)
105
+ ```
106
+ You are a seasoned academic reviewer and response optimization expert. Your task is to evaluate the quality of the response based on the review comments, paper fragments, and the authors' responses. Please strictly follow the requirements below, and output only the score and score explanation.
107
+
108
+ Input variables:
109
+
110
+ review_content: Complete content of the review comments. similar_paper_fragments: Best paper fragment most relevant to the comment. comment: Specific segment of the review comments. original_response: The authors' original response text to the comment.
111
+
112
+ Your task: Based on the input information, output only a JSON object containing the following two items:
113
+ Scoring Standard
114
+ Score Range: 0 - 10
115
+ 0: Wholly Ineffective
116
+ 1-2: Perfunctory
117
+ 3-4: Unconvincing
118
+ 5-6: Addresses Some Concerns
119
+ 7-8: Exceptional
120
+ 9-10: Outstanding
121
+ score: Four-dimensional score breakdown, ranging from 0-10, structured as follows:
122
+ Attitude: The tone and professionalism of the response.
123
+ Clarity: The logic, structure, and focus of the response.
124
+ Persuasiveness: The effectiveness of the argumentation and evidence support.
125
+ Constructiveness: The commitment to revisions and specific actions taken.
126
+
127
+ score_explanation: A brief explanation of each score, specifically citing key points from the response text that reflect the scores and any shortcomings.
128
+
129
+ Output requirements:
130
+
131
+ Only output the JSON object; do not include any other characters or explanations.
132
+ The scoring must be reasonable, and the score explanation must clearly reference the original text that reflects the score.
133
+ All output must be in formal, polite academic English.
134
+ Your output must be strictly JSON formal which can be dirctly loaded by json.load()
135
+ Output format example:
136
+ { "score": { "Attitude": <int>,
137
+ "Clarity": <int>,
138
+ "Persuasiveness": <int>,
139
+ "Constructiveness": <int> },
140
+ "score_explanation": <explanation for your given score>}"""
141
+ ```
142
+ ## 4 Citation
143
+ ```
144
+ @inproceedings{he2025rebuttalagent,
145
+ title = {RebuttalAgent: Strategic Persuasion in Academic Rebuttal via Theory of Mind},
146
+ author = {Zhitao He and Zongwei Lyu and Wuzhenhai Dai and Yi R. (May) Fung},
147
+ year = {2025},
148
+ institution = {Hong Kong University of Science and Technology},
149
+ url = {https://arxiv.org/abs/YYMM.NNNNN}
150
+ }
151
+ ```
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 message.content is string 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.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
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",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 12288,
14
+ "max_position_embeddings": 40960,
15
+ "max_window_layers": 36,
16
+ "model_type": "qwen3",
17
+ "num_attention_heads": 32,
18
+ "num_hidden_layers": 36,
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": "float32",
26
+ "transformers_version": "4.52.4",
27
+ "use_cache": true,
28
+ "use_sliding_window": false,
29
+ "vocab_size": 151936
30
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.52.4"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92467eb87fa7aa92e5da707b66d4a15eb4189d3acb59b73f5d0acf041e8c7018
3
+ size 2489319560
model-00002-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94e072b5926f56fd3efd175e3c544289a96af84004950d5268e675d98fdfd84c
3
+ size 1912674536
model-00003-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54401f2a6ed37ea3c7801d593d328d48b365ed6cf24e713cf4110b932415d7e8
3
+ size 1946260384
model-00004-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33326c3215601757626044eac47c26a6b56273c83ae79390bf4627eb753b9d7c
3
+ size 1912674536
model-00005-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bb68c52e41ea893780a1d0fda5489aec0cbf701a7db420be76115dd79eca0e7
3
+ size 1946260384
model-00006-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:105fab3337b8f420333fc2048741d6871cb327bb86ab4f72a4c275309b78f8da
3
+ size 1912674568
model-00007-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53c647353b46c5a8fa87d8f34a01d5099b9e136828a03dddd5a36c60f4ff50b0
3
+ size 1946260408
model-00008-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d4cb4e6de28108c2ddd4b52f317d00b8b6cd7bdd0be64d8c240f97ce9c2869e
3
+ size 1912674568
model-00009-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4da47e1797f54d3c18deb60d3d4089cfcb0278341c12947ad5c71d5e28b7e07a
3
+ size 1946260408
model-00010-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c0c9098771b2c84db88c2522225884b5331fcfbf9876f7d7c5498361bc2e6d6
3
+ size 1912674568
model-00011-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:954408eccf7a2ee12d59e13dbc937358b329889acef4ca302526fb5896ec7de4
3
+ size 1946260408
model-00012-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:365128243a8ff9d04c2d04f31095a5578d76faff299590daf57275ddcc819085
3
+ size 1912674568
model-00013-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97caa64db297317dc428b3ecaf1a1b2c67ae2a2fdf0b4102f4c9e57cba212e7f
3
+ size 1946260408
model-00014-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:863b5b3656d35f2dff155b5c79fa449a011610852a352c92b7c9eca8fdbe4042
3
+ size 1912674568
model-00015-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bb1ba0fbfb7628f33f0bbde4270ef93540ffaf4d781c125360286c7f0e95372
3
+ size 1946260408
model-00016-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9108ac78362e4b2f53ec98ed190a2f03d618e11ec60257528131c0a5df5be465
3
+ size 2489319552
model-00017-of-00017.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0ba4c0d8fea695359ef6df9013a6b01245d8110054dcf9f3cde355eab32f457
3
+ size 771803472
model.safetensors.index.json ADDED
@@ -0,0 +1,406 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 32762941440
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00016-of-00017.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00017.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00002-of-00017.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00002-of-00017.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00017.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00002-of-00017.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00017.safetensors",
13
+ "model.layers.0.self_attn.k_norm.weight": "model-00002-of-00017.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00017.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00002-of-00017.safetensors",
16
+ "model.layers.0.self_attn.q_norm.weight": "model-00002-of-00017.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00017.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00002-of-00017.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00002-of-00017.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00002-of-00017.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00017.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00002-of-00017.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00017.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00002-of-00017.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00017.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00017.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00002-of-00017.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00017.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00017.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00006-of-00017.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00006-of-00017.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00006-of-00017.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00006-of-00017.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00006-of-00017.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00006-of-00017.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00006-of-00017.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00006-of-00017.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00006-of-00017.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00006-of-00017.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00006-of-00017.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00006-of-00017.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00006-of-00017.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00006-of-00017.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00006-of-00017.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00006-of-00017.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00006-of-00017.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00006-of-00017.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00006-of-00017.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00006-of-00017.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00006-of-00017.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00006-of-00017.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00007-of-00017.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00007-of-00017.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00006-of-00017.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00007-of-00017.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00007-of-00017.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00006-of-00017.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00006-of-00017.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00006-of-00017.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00006-of-00017.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00006-of-00017.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00006-of-00017.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00007-of-00017.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00007-of-00017.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00007-of-00017.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00007-of-00017.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00007-of-00017.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00007-of-00017.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00007-of-00017.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00007-of-00017.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00007-of-00017.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00007-of-00017.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00007-of-00017.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00007-of-00017.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00007-of-00017.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00007-of-00017.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00007-of-00017.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00007-of-00017.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00007-of-00017.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00007-of-00017.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00007-of-00017.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00007-of-00017.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00007-of-00017.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00007-of-00017.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00008-of-00017.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00008-of-00017.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00008-of-00017.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00008-of-00017.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00008-of-00017.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00008-of-00017.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00008-of-00017.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00008-of-00017.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00008-of-00017.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00008-of-00017.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00008-of-00017.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00008-of-00017.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00008-of-00017.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00008-of-00017.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00008-of-00017.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00008-of-00017.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00008-of-00017.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00008-of-00017.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00008-of-00017.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00008-of-00017.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00008-of-00017.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00008-of-00017.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00009-of-00017.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00009-of-00017.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00008-of-00017.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00009-of-00017.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00009-of-00017.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00008-of-00017.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00008-of-00017.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00008-of-00017.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00008-of-00017.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00008-of-00017.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00008-of-00017.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00009-of-00017.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00009-of-00017.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00009-of-00017.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00009-of-00017.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00009-of-00017.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00009-of-00017.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00009-of-00017.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00009-of-00017.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00009-of-00017.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00009-of-00017.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00009-of-00017.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00009-of-00017.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00009-of-00017.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00009-of-00017.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00009-of-00017.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00009-of-00017.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00009-of-00017.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00009-of-00017.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00009-of-00017.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00009-of-00017.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00009-of-00017.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00009-of-00017.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00003-of-00017.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00003-of-00017.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00017.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00003-of-00017.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00003-of-00017.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00002-of-00017.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00017.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00017.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00002-of-00017.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00017.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00017.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00010-of-00017.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00010-of-00017.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00010-of-00017.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00010-of-00017.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00010-of-00017.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00010-of-00017.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00010-of-00017.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00010-of-00017.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00010-of-00017.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00010-of-00017.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00010-of-00017.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00010-of-00017.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00010-of-00017.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00010-of-00017.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00010-of-00017.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00010-of-00017.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00010-of-00017.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00010-of-00017.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00010-of-00017.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00010-of-00017.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00010-of-00017.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00010-of-00017.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00011-of-00017.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00011-of-00017.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00010-of-00017.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00011-of-00017.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00011-of-00017.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00010-of-00017.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00010-of-00017.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00010-of-00017.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00010-of-00017.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00010-of-00017.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00010-of-00017.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00011-of-00017.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00011-of-00017.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00011-of-00017.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00011-of-00017.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00011-of-00017.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00011-of-00017.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00011-of-00017.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00011-of-00017.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00011-of-00017.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00011-of-00017.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00011-of-00017.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00011-of-00017.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00011-of-00017.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00011-of-00017.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00011-of-00017.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00011-of-00017.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00011-of-00017.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00011-of-00017.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00011-of-00017.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00011-of-00017.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00011-of-00017.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00011-of-00017.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00012-of-00017.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00012-of-00017.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00012-of-00017.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00012-of-00017.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00012-of-00017.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00012-of-00017.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00012-of-00017.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00012-of-00017.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00012-of-00017.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00012-of-00017.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00012-of-00017.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00012-of-00017.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00012-of-00017.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00012-of-00017.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00012-of-00017.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00012-of-00017.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00012-of-00017.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00012-of-00017.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00012-of-00017.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00012-of-00017.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00012-of-00017.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00012-of-00017.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00013-of-00017.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00013-of-00017.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00012-of-00017.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00013-of-00017.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00013-of-00017.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00012-of-00017.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00012-of-00017.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00012-of-00017.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00012-of-00017.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00012-of-00017.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00012-of-00017.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00013-of-00017.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00013-of-00017.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00013-of-00017.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00013-of-00017.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00013-of-00017.safetensors",
244
+ "model.layers.28.self_attn.k_norm.weight": "model-00013-of-00017.safetensors",
245
+ "model.layers.28.self_attn.k_proj.weight": "model-00013-of-00017.safetensors",
246
+ "model.layers.28.self_attn.o_proj.weight": "model-00013-of-00017.safetensors",
247
+ "model.layers.28.self_attn.q_norm.weight": "model-00013-of-00017.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00013-of-00017.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00013-of-00017.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00013-of-00017.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00013-of-00017.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00013-of-00017.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00013-of-00017.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00013-of-00017.safetensors",
255
+ "model.layers.29.self_attn.k_norm.weight": "model-00013-of-00017.safetensors",
256
+ "model.layers.29.self_attn.k_proj.weight": "model-00013-of-00017.safetensors",
257
+ "model.layers.29.self_attn.o_proj.weight": "model-00013-of-00017.safetensors",
258
+ "model.layers.29.self_attn.q_norm.weight": "model-00013-of-00017.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00013-of-00017.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00013-of-00017.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00003-of-00017.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00003-of-00017.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00003-of-00017.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00003-of-00017.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00003-of-00017.safetensors",
266
+ "model.layers.3.self_attn.k_norm.weight": "model-00003-of-00017.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00003-of-00017.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00003-of-00017.safetensors",
269
+ "model.layers.3.self_attn.q_norm.weight": "model-00003-of-00017.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00003-of-00017.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00003-of-00017.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00014-of-00017.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00014-of-00017.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00014-of-00017.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00014-of-00017.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00014-of-00017.safetensors",
277
+ "model.layers.30.self_attn.k_norm.weight": "model-00014-of-00017.safetensors",
278
+ "model.layers.30.self_attn.k_proj.weight": "model-00014-of-00017.safetensors",
279
+ "model.layers.30.self_attn.o_proj.weight": "model-00014-of-00017.safetensors",
280
+ "model.layers.30.self_attn.q_norm.weight": "model-00014-of-00017.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00014-of-00017.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00014-of-00017.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00014-of-00017.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00014-of-00017.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00014-of-00017.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00014-of-00017.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00014-of-00017.safetensors",
288
+ "model.layers.31.self_attn.k_norm.weight": "model-00014-of-00017.safetensors",
289
+ "model.layers.31.self_attn.k_proj.weight": "model-00014-of-00017.safetensors",
290
+ "model.layers.31.self_attn.o_proj.weight": "model-00014-of-00017.safetensors",
291
+ "model.layers.31.self_attn.q_norm.weight": "model-00014-of-00017.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00014-of-00017.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00014-of-00017.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00015-of-00017.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00015-of-00017.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00014-of-00017.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00015-of-00017.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00015-of-00017.safetensors",
299
+ "model.layers.32.self_attn.k_norm.weight": "model-00014-of-00017.safetensors",
300
+ "model.layers.32.self_attn.k_proj.weight": "model-00014-of-00017.safetensors",
301
+ "model.layers.32.self_attn.o_proj.weight": "model-00014-of-00017.safetensors",
302
+ "model.layers.32.self_attn.q_norm.weight": "model-00014-of-00017.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00014-of-00017.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00014-of-00017.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00015-of-00017.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00015-of-00017.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00015-of-00017.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00015-of-00017.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00015-of-00017.safetensors",
310
+ "model.layers.33.self_attn.k_norm.weight": "model-00015-of-00017.safetensors",
311
+ "model.layers.33.self_attn.k_proj.weight": "model-00015-of-00017.safetensors",
312
+ "model.layers.33.self_attn.o_proj.weight": "model-00015-of-00017.safetensors",
313
+ "model.layers.33.self_attn.q_norm.weight": "model-00015-of-00017.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00015-of-00017.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00015-of-00017.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00015-of-00017.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00015-of-00017.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00015-of-00017.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00015-of-00017.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00015-of-00017.safetensors",
321
+ "model.layers.34.self_attn.k_norm.weight": "model-00015-of-00017.safetensors",
322
+ "model.layers.34.self_attn.k_proj.weight": "model-00015-of-00017.safetensors",
323
+ "model.layers.34.self_attn.o_proj.weight": "model-00015-of-00017.safetensors",
324
+ "model.layers.34.self_attn.q_norm.weight": "model-00015-of-00017.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00015-of-00017.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00015-of-00017.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00017-of-00017.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00017-of-00017.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00017-of-00017.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00017-of-00017.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00017-of-00017.safetensors",
332
+ "model.layers.35.self_attn.k_norm.weight": "model-00017-of-00017.safetensors",
333
+ "model.layers.35.self_attn.k_proj.weight": "model-00017-of-00017.safetensors",
334
+ "model.layers.35.self_attn.o_proj.weight": "model-00017-of-00017.safetensors",
335
+ "model.layers.35.self_attn.q_norm.weight": "model-00017-of-00017.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00017-of-00017.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00017-of-00017.safetensors",
338
+ "model.layers.4.input_layernorm.weight": "model-00003-of-00017.safetensors",
339
+ "model.layers.4.mlp.down_proj.weight": "model-00003-of-00017.safetensors",
340
+ "model.layers.4.mlp.gate_proj.weight": "model-00003-of-00017.safetensors",
341
+ "model.layers.4.mlp.up_proj.weight": "model-00003-of-00017.safetensors",
342
+ "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00017.safetensors",
343
+ "model.layers.4.self_attn.k_norm.weight": "model-00003-of-00017.safetensors",
344
+ "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00017.safetensors",
345
+ "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00017.safetensors",
346
+ "model.layers.4.self_attn.q_norm.weight": "model-00003-of-00017.safetensors",
347
+ "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00017.safetensors",
348
+ "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00017.safetensors",
349
+ "model.layers.5.input_layernorm.weight": "model-00004-of-00017.safetensors",
350
+ "model.layers.5.mlp.down_proj.weight": "model-00004-of-00017.safetensors",
351
+ "model.layers.5.mlp.gate_proj.weight": "model-00004-of-00017.safetensors",
352
+ "model.layers.5.mlp.up_proj.weight": "model-00004-of-00017.safetensors",
353
+ "model.layers.5.post_attention_layernorm.weight": "model-00004-of-00017.safetensors",
354
+ "model.layers.5.self_attn.k_norm.weight": "model-00004-of-00017.safetensors",
355
+ "model.layers.5.self_attn.k_proj.weight": "model-00004-of-00017.safetensors",
356
+ "model.layers.5.self_attn.o_proj.weight": "model-00004-of-00017.safetensors",
357
+ "model.layers.5.self_attn.q_norm.weight": "model-00004-of-00017.safetensors",
358
+ "model.layers.5.self_attn.q_proj.weight": "model-00004-of-00017.safetensors",
359
+ "model.layers.5.self_attn.v_proj.weight": "model-00004-of-00017.safetensors",
360
+ "model.layers.6.input_layernorm.weight": "model-00004-of-00017.safetensors",
361
+ "model.layers.6.mlp.down_proj.weight": "model-00004-of-00017.safetensors",
362
+ "model.layers.6.mlp.gate_proj.weight": "model-00004-of-00017.safetensors",
363
+ "model.layers.6.mlp.up_proj.weight": "model-00004-of-00017.safetensors",
364
+ "model.layers.6.post_attention_layernorm.weight": "model-00004-of-00017.safetensors",
365
+ "model.layers.6.self_attn.k_norm.weight": "model-00004-of-00017.safetensors",
366
+ "model.layers.6.self_attn.k_proj.weight": "model-00004-of-00017.safetensors",
367
+ "model.layers.6.self_attn.o_proj.weight": "model-00004-of-00017.safetensors",
368
+ "model.layers.6.self_attn.q_norm.weight": "model-00004-of-00017.safetensors",
369
+ "model.layers.6.self_attn.q_proj.weight": "model-00004-of-00017.safetensors",
370
+ "model.layers.6.self_attn.v_proj.weight": "model-00004-of-00017.safetensors",
371
+ "model.layers.7.input_layernorm.weight": "model-00005-of-00017.safetensors",
372
+ "model.layers.7.mlp.down_proj.weight": "model-00005-of-00017.safetensors",
373
+ "model.layers.7.mlp.gate_proj.weight": "model-00004-of-00017.safetensors",
374
+ "model.layers.7.mlp.up_proj.weight": "model-00005-of-00017.safetensors",
375
+ "model.layers.7.post_attention_layernorm.weight": "model-00005-of-00017.safetensors",
376
+ "model.layers.7.self_attn.k_norm.weight": "model-00004-of-00017.safetensors",
377
+ "model.layers.7.self_attn.k_proj.weight": "model-00004-of-00017.safetensors",
378
+ "model.layers.7.self_attn.o_proj.weight": "model-00004-of-00017.safetensors",
379
+ "model.layers.7.self_attn.q_norm.weight": "model-00004-of-00017.safetensors",
380
+ "model.layers.7.self_attn.q_proj.weight": "model-00004-of-00017.safetensors",
381
+ "model.layers.7.self_attn.v_proj.weight": "model-00004-of-00017.safetensors",
382
+ "model.layers.8.input_layernorm.weight": "model-00005-of-00017.safetensors",
383
+ "model.layers.8.mlp.down_proj.weight": "model-00005-of-00017.safetensors",
384
+ "model.layers.8.mlp.gate_proj.weight": "model-00005-of-00017.safetensors",
385
+ "model.layers.8.mlp.up_proj.weight": "model-00005-of-00017.safetensors",
386
+ "model.layers.8.post_attention_layernorm.weight": "model-00005-of-00017.safetensors",
387
+ "model.layers.8.self_attn.k_norm.weight": "model-00005-of-00017.safetensors",
388
+ "model.layers.8.self_attn.k_proj.weight": "model-00005-of-00017.safetensors",
389
+ "model.layers.8.self_attn.o_proj.weight": "model-00005-of-00017.safetensors",
390
+ "model.layers.8.self_attn.q_norm.weight": "model-00005-of-00017.safetensors",
391
+ "model.layers.8.self_attn.q_proj.weight": "model-00005-of-00017.safetensors",
392
+ "model.layers.8.self_attn.v_proj.weight": "model-00005-of-00017.safetensors",
393
+ "model.layers.9.input_layernorm.weight": "model-00005-of-00017.safetensors",
394
+ "model.layers.9.mlp.down_proj.weight": "model-00005-of-00017.safetensors",
395
+ "model.layers.9.mlp.gate_proj.weight": "model-00005-of-00017.safetensors",
396
+ "model.layers.9.mlp.up_proj.weight": "model-00005-of-00017.safetensors",
397
+ "model.layers.9.post_attention_layernorm.weight": "model-00005-of-00017.safetensors",
398
+ "model.layers.9.self_attn.k_norm.weight": "model-00005-of-00017.safetensors",
399
+ "model.layers.9.self_attn.k_proj.weight": "model-00005-of-00017.safetensors",
400
+ "model.layers.9.self_attn.o_proj.weight": "model-00005-of-00017.safetensors",
401
+ "model.layers.9.self_attn.q_norm.weight": "model-00005-of-00017.safetensors",
402
+ "model.layers.9.self_attn.q_proj.weight": "model-00005-of-00017.safetensors",
403
+ "model.layers.9.self_attn.v_proj.weight": "model-00005-of-00017.safetensors",
404
+ "model.norm.weight": "model-00017-of-00017.safetensors"
405
+ }
406
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
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": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "padding_side": "left",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff