初始化项目，由ModelHub XC社区提供模型

Model: ahmetggg/Luck-Qwen2.5-Coder-3B-STEM-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,61 @@
+---
+library_name: gguf
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-Coder-3B-Instruct
+license: apache-2.0
+tags:
+- gguf
+- q4_k_m
+- qwen2.5-coder
+- code
+- stem
+- kotlin
+- unity
+- python
+model-index:
+- name: Luck-Qwen2.5-Coder-3B-STEM
+  results: []
+---
+
+# Luck-Qwen2.5-Coder-3B-STEM (GGUF Q4_K_M)
+
+A fine-tuned version of **Qwen2.5-Coder-3B-Instruct** specialized in STEM and code-related tasks. This model has been trained on a curated mix of code, mathematics, and development-focused datasets with emphasis on Python, Kotlin, Unity (C#), and mathematical reasoning.
+
+## ⚠️ Important Notice
+
+This is an **experimental fine-tune**. While the model shows improvements in certain STEM domains, it has known limitations:
+
+- May occasionally enter repetition loops on complex prompts
+- Can produce verbose responses with unnecessary explanations
+- HTML/JS generation quality is lower than the base model
+- Best used with `temperature=0.2` and `max_new_tokens=512` for stable outputs
+
+For production use, we recommend the original [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct).
+
+## Model Details
+
+- **Base Model:** Qwen2.5-Coder-3B-Instruct
+- **Training Steps:** 1,500
+- **Quantization:** Q4_K_M (~2.0 GB)
+- **Format:** GGUF
+- **Training Framework:** Unsloth + PEFT (LoRA)
+- **Target Languages:** Python, Kotlin, C# (Unity), JavaScript, SQL
+
+## Training Data Mix
+
+| Dataset | Samples | Domain |
+|---------|---------|--------|
+| saurabh5/rlvr-code-data-Kotlin | 2,500 | Kotlin |
+| ise-uiuc/Magicoder-Evol-Instruct-110K | 4,000 | Code Instruct |
+| theblackcat102/evol-codealpaca-v1 | 2,500 | Code Alpaca |
+| vishnuOI/unity-dev-instructions | 2,500 | Unity/C# |
+| bigcode/python-stack-v1-functions-filtered-sc2 | 1,500 | Python |
+| ryanmarten/OpenThoughts-1k-sample | 500 | Reasoning |
+| TIGER-Lab/MathInstruct | 1,500 | Mathematics |
+
+## Quick Start with Ollama
+
+### 1. Download the model
+
+```bash
+huggingface-cli download ahmetggg/Luck-Qwen2.5-Coder-3B-STEM-GGUF --include "*.gguf" --local-dir ./models