metadata
title: Developer Git Commit Agent 🤖
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
tags:
- code
- git
- tools
- developer-utilities
language:
- en
pipeline_tag: text-generation
Developer Git Commit Agent 🤖
An specialized, ultra-lightweight AI agent fine-tuned to automatically generate concise, clean, and professional Git commit messages directly from messy code changes (diffs).
Built specifically to optimize workflows for software engineers and developers.
🚀 Quickstart: How to Use
You can easily load and run this model locally in your terminal or scripts using the Hugging Face transformers library.
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load the model directly from the Hub
model_id = "YOUR_HF_USERNAME/developer-git-commit-agent"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
# Paste your messy git diff here
git_diff = """
- const port = 3000;
+ const port = process.env.PORT || 5000;
"""
# Format prompt using the agent's system instructions
messages = [
{"role": "system", "content": "You are an expert software engineer agent. Write a concise, professional Git commit message based on the provided code diff."},
{"role": "user", "content": f"Code Diff:\n{git_diff}"}
]
inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to("cuda")
outputs = model.generate(inputs, max_new_tokens=60)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
# Output: feat(config): allow dynamic port assignment via environment variables, defaulting to 5000.
📊 Training Details
- Base Model: Qwen2.5-Coder-0.5B-Instruct
- Dataset: Maxscha/commitbench (Targeted real-world engineering GitHub commits)
- Method: Parameter-Efficient Fine-Tuning (LoRA)