初始化项目，由ModelHub XC社区提供模型

Model: Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- distillation
+- math
+- s1
+- openthoughts
+- oracle-internal-trace
+- qwen2.5-7b-instruct
+- full-finetune
+datasets:
+- Chia-Mu-Lab/ot-ideal-q3_32b-clean
+language:
+- en
+library_name: transformers
+---
+
+# Oracle internal-trace distillation · Qwen3-32B teacher -> Qwen2.5-7B-Instruct student
+
+This repo holds the **oracle internal-trace** student for the 32B row of the REP
+paper's main distillation comparison table (`tab:maincomparison`).
+
+The student is `Qwen/Qwen2.5-7B-Instruct` full-fine-tuned (s1 recipe) on
+**Qwen3-32B's own hidden reasoning traces** (`<think>` internal chain of thought,
+no attack) sampled on 10k OpenThoughts prompts
+(`Chia-Mu-Lab/ot-ideal-q3_32b-clean`, r1+boxed target).
+
+The weights at the repo root are **checkpoint-2015 (epoch 5)**, the checkpoint
+reported in the paper.
+
+## Reported metrics (this run, `kod-s1-ot-ideal-q3_32b-clean-v1`)
+
+| ckpt | MATH500 | AIME24 | AIME25 | JEE (strict, full) | LCB pass@1 |
+|---|---|---|---|---|---|
+| base | 70.9 | 10.0 | 4.4 | 29.2 | 18.3 |
+| step-01613 (ep4) | 67.6 | 12.2 | 13.3 | 32.9 | 17.6 |
+| **step-02015 (ep5)** | **70.0** | **16.7** | **15.6** | 37.5 | 15.8 |
+
+The paper table reports the **JEE-Math subset** (46.4 / 49.3 strict/partial) rather
+than the full-JEE strict number (37.5) shown here; all other cells match the paper
+row exactly (MATH500 70.0 / AIME24 16.7 / AIME25 15.6 / LCB 15.8).
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model = AutoModelForCausalLM.from_pretrained("Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean", torch_dtype="bfloat16")
+tok = AutoTokenizer.from_pretrained("Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean")
+```

added_tokens.json

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+{
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+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
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+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": [
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+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.1"
+}

metrics.csv

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+epoch,ckpt,math500,aime24,aime25,jee_strict_full,lcb_pass_at_1
+0,base (Qwen2.5-7B-Instruct),0.709,0.100,0.044,0.292,0.183
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tokenizer.json

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tokenizer_config.json

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