Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-Coder-3B-Instruct
+tags:
+- merge-conflict-resolution
+- code
+- qwen
+- qwen2.5
+- coding-assistant
+- git
+- version-control
+- developer-tools
+- code-generation
+- conflict-resolution
+pipeline_tag: text-generation
+library_name: transformers
+language:
+- en
+---
+
+# 🌬️ Breeze-3B: AI-Powered Git Merge Conflict Resolution
+
+**Breeze-3B** is a specialized coding model fine-tuned on [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) to automatically resolve Git merge conflicts with reasoning and context awareness.
+
+## 🚀 Key Features
+
+- **Intelligent Resolution**: Analyzes merge conflicts and provides reasoned solutions
+- **Multi-Language Support**: Works across Python, JavaScript, Java, C++, and more
+- **Preserves Code Quality**: Maintains general coding capabilities while specializing in conflict resolution
+- **Multiple Deployment Options**: Cloud inference, local GGUF, and Ollama support
+- **Lightweight**: Only 3B parameters - runs efficiently on consumer hardware
+
+## 📊 Model Details
+
+| Property | Value |
+|----------|-------|
+| **Base Model** | Qwen/Qwen2.5-Coder-3B-Instruct |
+| **Training Data** | 7,165 curated merge conflicts from ConGra dataset |
+| **Fine-tuning Method** | LoRA (rank-8 adapters) |
+| **Parameters** | 3B |
+| **Quantization** | Q4_K_M GGUF available |
+| **License** | Apache 2.0 |
+
+### Local Inference
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="breeze-3b.Q4_K_M.gguf")
+response = llm(f"Resolve this merge conflict:\n\n{conflict}")
+print(response["choices"][0]["text"])
+```
+### Ollama Inference
+``` bash
+ollama run hf.co/SoarAILabs/breeze-3b
+````
+
+## Features
+
+- Resolves merge conflicts with reasoning
+- Supports multiple programming languages
+- No catastrophic forgetting of general coding skills
+- Works with both cloud and local inference
+