commit 6032e02f08c05de1f44e7884d060539e8e826aac
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Mon Apr 27 16:31:01 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+---
+license: apache-2.0
+language:
+  - en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - unsloth
+  - qwen3
+  - sft
+  - fine-tuned
+  - trl
+  - lora
+  - qlora
+  - text-generation
+  - reasoning
+  - conversational
+base_model: unsloth/qwen3-4b-unsloth-bnb-4bit
+datasets:
+  - ermiaazarkhalili/claude-reasoning-distillation
+model-index:
+  - name: Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth
+    results: []
+---
+
+# Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth
+
+This model is a fine-tuned version of [Qwen3-4B (Unsloth 4-bit)](https://huggingface.co/unsloth/qwen3-4b-unsloth-bnb-4bit) optimized for **reasoning distillation (chain-of-thought)** using [Unsloth](https://github.com/unslothai/unsloth) for **2x faster training** and **60% less VRAM**.
+
+Trained on the [claude-reasoning-distillation](https://huggingface.co/datasets/ermiaazarkhalili/claude-reasoning-distillation) dataset, which contains 10,477 samples of Claude's reasoning traces with `<think>` blocks for chain-of-thought learning.
+
+## Overview
+
+| Property | Value |
+|----------|-------|
+| **Developed by** | [ermiaazarkhalili](https://huggingface.co/ermiaazarkhalili) |
+| **License** | APACHE-2.0 |
+| **Language** | English |
+| **Base Model** | [Qwen3-4B (Unsloth 4-bit)](https://huggingface.co/unsloth/qwen3-4b-unsloth-bnb-4bit) |
+| **Model Size** | 4B parameters |
+| **Training Framework** | [Unsloth](https://github.com/unslothai/unsloth) + [TRL](https://github.com/huggingface/trl) |
+| **Training Method** | SFT with QLoRA (4-bit) |
+| **Context Length** | 2,048 tokens |
+| **GGUF Available** | [Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF](https://huggingface.co/ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF) |
+
+## Training Configuration
+
+### SFT + LoRA Settings
+
+| Parameter | Value |
+|-----------|-------|
+| Unsloth Class | `FastLanguageModel` |
+| Chat Template | built-in Qwen3 |
+| Learning Rate | 2e-4 |
+| Batch Size | 2 per device |
+| Gradient Accumulation | 4 steps |
+| Effective Batch Size | 8 |
+| Max Steps | 1 epoch (full dataset) |
+| Optimizer | AdamW 8-bit |
+| LR Scheduler | Linear |
+| Warmup Steps | 5 |
+| Precision | Auto (BF16/FP16) |
+| Gradient Checkpointing | Enabled (Unsloth optimized) |
+| Seed | 3407 |
+
+### LoRA Configuration
+
+| Parameter | Value |
+|-----------|-------|
+| LoRA Rank (r) | 16 |
+| LoRA Alpha | 16 |
+| LoRA Dropout | 0 |
+| Quantization | 4-bit QLoRA |
+| Target Modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
+
+### Dataset
+
+| Property | Value |
+|----------|-------|
+| Dataset | [Claude Reasoning Distillation](https://huggingface.co/datasets/ermiaazarkhalili/claude-reasoning-distillation) |
+| Training Samples | 10,477 |
+| Format | Messages with `thinking` field for chain-of-thought |
+
+### Hardware
+
+| Property | Value |
+|----------|-------|
+| GPU | NVIDIA H100 80GB HBM3 (MIG 3g.40gb slice) |
+| Cluster | DRAC Fir (Compute Canada) |
+| Execution | [Papermill](https://github.com/nteract/papermill) on SLURM |
+
+### Training Outcome
+
+| Metric | Value |
+|--------|-------|
+| SLURM Job ID | `36885896` |
+| Runtime | 21m 03s (1263s) |
+| Final Training Loss | 0.998 |
+| Peak VRAM | 14.01 GB |
+| GPU | H100 80GB HBM3 (MIG 3g.40gb) |
+
+## Usage
+
+### Quick Start (Transformers)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [
+    {"role": "user", "content": "Solve step by step: What is the sum of the first 10 prime numbers?"}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, do_sample=True)
+response = tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)
+print(response)
+```
+
+### Using with Unsloth (Fastest)
+
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    "ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth",
+    max_seq_length=2048,
+    load_in_4bit=True,
+)
+
+```
+
+### 4-bit Quantized Inference
+
+```python
+from transformers import AutoModelForCausalLM, BitsAndBytesConfig
+import torch
+
+quantization_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_compute_dtype=torch.bfloat16,
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4",
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    "ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth",
+    quantization_config=quantization_config,
+    device_map="auto",
+)
+```
+
+## GGUF Versions
+
+Quantized GGUF versions for CPU and edge inference are available at:
+**[Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF](https://huggingface.co/ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF)**
+
+| Format | Description |
+|--------|-------------|
+| `Q4_K_M` | Recommended — good balance of quality and size |
+| `Q5_K_M` | Higher quality, slightly larger |
+| `Q8_0` | Near-lossless, largest GGUF size |
+
+### Using with Ollama
+
+```bash
+ollama pull hf.co/ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF:Q4_K_M
+ollama run hf.co/ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF:Q4_K_M "Solve step by step: What is the sum of the first 10 prime numbers?"
+```
+
+### Using with llama.cpp
+
+```bash
+./llama-cli -m Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth-Q4_K_M.gguf -p "Solve step by step: What is the sum of the first 10 prime numbers?" -n 512
+```
+
+## Limitations
+
+- **Language**: Primarily trained on English data
+- **Knowledge Cutoff**: Limited to base model's training data cutoff
+- **Hallucinations**: May generate plausible-sounding but incorrect information
+- **Context Length**: Fine-tuned with 2,048 token context window
+- **Safety**: Not extensively safety-tuned; use with appropriate guardrails
+
+## Training Framework Versions
+
+| Package | Version |
+|---------|---------|
+| Unsloth | 2026.4.4 |
+| TRL | 0.24.0 |
+| Transformers | 5.5.0 |
+| PyTorch | 2.9.0 |
+| Datasets | 4.3.0 |
+| PEFT | 0.18.1 |
+| BitsAndBytes | 0.49.2 |
+
+## Citation
+
+```bibtex
+@misc{ermiaazarkhalili_qwen3_4b_sft_claude_opus_reasoning_unsloth,
+    author = {ermiaazarkhalili},
+    title = {Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth: Fine-tuned Qwen3-4B (Unsloth 4-bit) with Unsloth},
+    year = {2026},
+    publisher = {Hugging Face},
+    howpublished = {\url{https://huggingface.co/ermiaazarkhalili/Qwen3-4B-SFT-Claude-Opus-Reasoning-Unsloth}}
+}
+```
+
+## Acknowledgments
+
+- [Unsloth](https://github.com/unslothai/unsloth) for 2x faster fine-tuning
+- Base model developers (unsloth)
+- [Hugging Face TRL Team](https://github.com/huggingface/trl) for the training library
+- [Claude Reasoning Distillation](https://huggingface.co/datasets/ermiaazarkhalili/claude-reasoning-distillation) dataset
+- [Compute Canada / DRAC](https://alliancecan.ca/) for HPC resources
diff --git a/chat_template.jinja b/chat_template.jinja
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--- /dev/null
+++ b/chat_template.jinja
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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
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--- /dev/null
+++ b/config.json
@@ -0,0 +1,72 @@
+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 40960,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151669,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.4.6",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
\ No newline at end of file
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+}
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..7edcf72
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
+size 11423114
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..bdd9e83
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,16 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 40960,
+  "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\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- set message = messages[index] %}\n    {%- set tool_start = '<tool_response>' %}\n    {%- set tool_start_length = tool_start|length %}\n    {%- set start_of_message = message.content[:tool_start_length] %}\n    {%- set tool_end = '</tool_response>' %}\n    {%- set tool_end_length = tool_end|length %}\n    {%- set start_pos = (message.content|length) - tool_end_length %}\n    {%- if start_pos < 0 %}\n        {%- set start_pos = 0 %}\n    {%- endif %}\n    {%- set end_of_message = message.content[start_pos:] %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = (message.content.split('</think>')|last).lstrip('\\n') %}\n                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\\n') %}\n                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
+}
\ No newline at end of file