初始化项目，由ModelHub XC社区提供模型

Model: suayptalha/Qwen3-0.6B-Math-Expert
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+license: apache-2.0
+tags:
+- unsloth
+- trl
+- sft
+- math
+- reasoning
+datasets:
+- unsloth/OpenMathReasoning-mini
+language:
+- en
+base_model:
+- Qwen/Qwen3-0.6B
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Qwen3-0.6B-Math-Expert
+
+This project performs full fine-tuning on the **Qwen3-0.6B** language model to enhance its mathematical problem-solving and reasoning capabilities. Training was conducted exclusively on the `OpenMathReasoning-mini` dataset, and the model was optimized using the bfloat16 (bf16) data type.
+
+## Training Procedure
+
+1. **Dataset Preparation**
+
+   * The `unsloth/OpenMathReasoning-mini` dataset was used.
+   * Each example was formatted in Chain-of-Thought (CoT) style, pairing math problems with step-by-step intermediate reasoning.
+
+2. **Model Loading and Configuration**
+
+   * Qwen3 base model weights were loaded via the `unsloth` library in bf16 precision.
+   * All layers were updated (`full_finetuning=True`) to adapt the model for mathematical reasoning.
+
+3. **Supervised Fine-Tuning**
+
+   * Leveraged the Hugging Face TRL library with the Supervised Fine-Tuning (SFT) approach.
+   * The model was trained to generate both correct answers and corresponding reasoning chains.
+
+## Purpose and Outcome
+
+* The model’s reasoning capacity for math problems was significantly improved through single-dataset, full fine-tuning in bf16 precision.
+* Outputs include both intermediate reasoning steps and final solutions, providing transparent and interpretable results.
+
+## License
+
+This project is licensed under the Apache License 2.0. See the [LICENSE](./LICENSE) file for details.
+
+## Support
+
+<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>