metadata
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 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
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
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