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Model: alibidaran/Qwen_COG_Thinker_Merged Source: Original Platform
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185
README.md
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README.md
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---
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base_model: unsloth/Qwen2.5-3B-Instruct-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen2
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license: apache-2.0
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language:
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- en
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datasets:
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- cais/mmlu
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metrics:
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- accuracy
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pipeline_tag: text-generation
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---
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# 🧠 Qwen2.5 + GRPO — Structured Reasoning Model
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A fine-tuned version of **Qwen2.5** trained with **GRPO (Group Relative Policy Optimization)** to reason before it answers — not just pattern-match.
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---
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## Overview
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Most LLMs simulate reasoning by mimicking patterns seen during training. This model is different: it builds a **real cognitive path** on every response by following a strict, verifiable reasoning protocol enforced through reinforcement learning.
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Every response goes through three mandatory stages:
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| Stage | Tag | Purpose |
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|---|---|---|
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| 📌 Plan | `<planning>` | Understand the task and define an approach |
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| 🔍 Monitor | `<monitoring>` | Reason step by step, show calculations and logic |
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| ✅ Evaluate | `<evaluation>` | Verify the answer before committing |
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This isn't chain-of-thought bolted on top — **the reasoning protocol is baked in via RL.**
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## System Prompt
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```python
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SYSTEM_PROMPT = """
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You are an AI assistant that MUST produce structured reasoning.
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Your response MUST EXACTLY follow this format:
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<think>
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<planning>
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...
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</planning>
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<monitoring>
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...
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</monitoring>
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<evaluation>
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...
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</evaluation>
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</think>
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<output>
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...
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</output>
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FORMAT RULES:
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1. The <think> block must contain exactly three sections in this order:
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<planning>, <monitoring>, <evaluation>
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2. Each section must contain detailed reasoning in full sentences.
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3. Minimum reasoning length:
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- <planning>: at least 40 tokens
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- <monitoring>: at least 80 tokens
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- <evaluation>: at least 40 tokens
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4. The <monitoring> section MUST show explicit reasoning steps,
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including calculations, derivations, or logical deductions.
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5. Generic placeholder phrases are forbidden, including:
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- "analyze the problem"
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- "determine the strategy"
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- "verify the solution"
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- "check correctness"
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6. The reasoning must explicitly reference values, equations,
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or logical relationships from the problem.
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7. The <output> section must contain ONLY the final answer.
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INVALID RESPONSES:
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Responses will be rejected if they contain:
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- Empty sections
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- Bullet point placeholders
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- Generic reasoning
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- Missing calculations when required
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- Incorrect tag order
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The format must always be strictly respected.
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"""
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```
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---
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## Usage
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```python
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from vllm import SamplingParams
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def generate_response(question, choices):
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messages = [
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{
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"role": "system",
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"content": SYSTEM_PROMPT
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},
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{
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"role": "user",
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"content": (
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f"Examine the following question and select the right answer from given options.\n"
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f"The output must be only the number of the option.\n"
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f"Question: {question}\n"
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f"Provided options: {choices}\n"
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)
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}
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,
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return_tensors="pt",
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)
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sampling_params = SamplingParams(
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temperature=0.8,
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top_p=0.95,
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max_tokens=1024,
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)
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output = model.fast_generate(
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[inputs],
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sampling_params=sampling_params,
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lora_request=None,
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)[0].outputs[0].text
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return output
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```
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---
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## What Makes This Different
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| Feature | Standard LLM | This Model |
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|---|---|---|
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| Reasoning method | Pattern matching | Structured cognitive protocol |
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| Reasoning enforcement | None | RL-baked (GRPO) |
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| Output format | Free-form | Strictly validated |
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| Self-verification | No | Yes — invalid structure = rejected response |
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| Final answer | Mixed with reasoning | Isolated in `<output>` |
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---
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## MMLU Benchmark Results
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We selected random 100 samples from each subsets of MMLU dataset. Performance across a range of MMLU subject categories:
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|
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### 🎓 College Courses
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|
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| Subject | Accuracy |
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|
|---|---|
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| College Mathematics | 50% |
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| College Computer Science | 57% |
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| Medicine | 67% |
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|
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### 🧑💼 Professional
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| Subject | Accuracy |
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|---|---|
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| Professional Psychology | 63% |
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|
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### 🏫 High School Courses
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|
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| Subject | Accuracy |
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|
|---|---|
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| Psychology | 83% |
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| Computer Science | 78% |
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| Management | 70% |
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| Mathematics | 68% |
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| Statistics | 66% |
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| Biology | 67% |
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| Chemistry | 62% |
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| European History | 64% |
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|
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> Results reflect accuracy on MMLU multiple-choice questions using the structured reasoning protocol described above.
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|
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---
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|
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## Training
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|
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- **Base model:** Qwen2.5
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- **Training method:** GRPO (Group Relative Policy Optimization)
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- **Objective:** Enforce structured reasoning as a non-negotiable output constraint, not a post-hoc addition
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|PAD_TOKEN|>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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||||||
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
|
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{%- endif %}
|
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{{- '\n<tool_call>\n{"name": "' }}
|
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{{- tool_call.name }}
|
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
|
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{%- endfor %}
|
||||||
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{{- '<|im_end|>\n' }}
|
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{%- elif message.role == "tool" %}
|
||||||
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
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{{- '<|im_start|>user' }}
|
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{%- endif %}
|
||||||
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{{- '\n<tool_response>\n' }}
|
||||||
|
{{- message.content }}
|
||||||
|
{{- '\n</tool_response>' }}
|
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{%- 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 %}
|
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68
config.json
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config.json
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{
|
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|
"architectures": [
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"Qwen2ForCausalLM"
|
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|
],
|
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|
"attention_dropout": 0.0,
|
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|
"torch_dtype": "float16",
|
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|
"eos_token_id": 151645,
|
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|
"hidden_act": "silu",
|
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|
"hidden_size": 2048,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 11008,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
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|
"full_attention",
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|
"full_attention",
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|
"full_attention",
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|
"full_attention",
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention",
|
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|
"full_attention"
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|
],
|
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|
"max_position_embeddings": 32768,
|
||||||
|
"max_window_layers": 70,
|
||||||
|
"model_name": "unsloth/Qwen2.5-3B-Instruct-bnb-4bit",
|
||||||
|
"model_type": "qwen2",
|
||||||
|
"num_attention_heads": 16,
|
||||||
|
"num_hidden_layers": 36,
|
||||||
|
"num_key_value_heads": 2,
|
||||||
|
"pad_token_id": 151665,
|
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|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 1000000.0,
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"unsloth_fixed": true,
|
||||||
|
"unsloth_version": "2026.4.4",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
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||||||
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|
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||||||
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||||||
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|
||||||
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|
||||||
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||||||
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|
||||||
|
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|
||||||
|
}
|
||||||
|
}
|
||||||
25
special_tokens_map.json
Normal file
25
special_tokens_map.json
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": "<|PAD_TOKEN|>"
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a11add1ccce473bcd467355ba4e231ba727eee54501528658b0d6fa18112957e
|
||||||
|
size 11422253
|
||||||
217
tokenizer_config.json
Normal file
217
tokenizer_config.json
Normal file
@@ -0,0 +1,217 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
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|
||||||
|
"normalized": false,
|
||||||
|
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|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151649": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151655": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151658": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151660": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151661": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151662": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151663": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151664": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"151665": {
|
||||||
|
"content": "<|PAD_TOKEN|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 32768,
|
||||||
|
"pad_token": "<|PAD_TOKEN|>",
|
||||||
|
"padding_side": "left",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null,
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\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 {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) 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{%- endif %}\n"
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user