CommitLLM: A Fine-Tuned Pipeline for Git Commit Message Generation
Developers frequently write uninformative git commit messages such as "fix" or "update stuff", degrading the value of version-control history for code review, debugging, and onboarding. We present CommitLLM, a three-stage pipeline that generates concise, Conventional Commits-compliant messages from code diffs using a fine-tuned small language model. The system combines (1) QLoRA fine-tuning of Mistral-7B-Instruct-v0.2 on the CommitPackFT dataset, (2) constrained decoding to enforce brevity, and (3) deterministic post-processing to strip conversational artifacts and enforce format. On a 50-sample evaluation, CommitLLM achieves 98% format compliance (vs. 22% for vanilla Mistral), reduces av...
| Authors | Md Rafid Haque, Poojan Narendrabhai Patel, Meetkumar Vijaybhai Raychura |
|---|---|
| Primary category | cs.SE |
| Published | 20 July 2026 |
| Last updated at source | 20 July 2026 |
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