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| title: Code2LoRA Timeline | |
| emoji: 🧬 | |
| colorFrom: indigo | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.50.0 | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| short_description: Generate a repo-specific LoRA at any commit and test it. | |
| models: | |
| - code2lora/code2lora-gru | |
| - Qwen/Qwen2.5-Coder-1.5B | |
| datasets: | |
| - code2lora/code2lora-evo | |
| # Code2LoRA: watch an adapter learn a repository, commit by commit | |
| Pick one of the held-out test repositories from | |
| [RepoPeftBench](https://huggingface.co/datasets/code2lora/code2lora-evo), move through its commit history, | |
| generate the Code2LoRA-Evo adapter at any commit, and compare the adapted | |
| Qwen2.5-Coder-1.5B with the plain base model on the test assertions that commit | |
| introduced, or on your own code prefix. | |
| - **Adapt** runs the hypernetwork head live on the precomputed GRU state of the | |
| selected commit and injects the resulting rank-16 LoRA into the frozen base model. | |
| - Cached predictions were produced on a GPU with exactly the same adapter, prompt | |
| (≤ 4,096 tokens) and scoring as the paper; **Run live** regenerates them here. | |
| - `tools/` contains the scripts that built `data/` from the published dataset and | |
| checkpoint. | |
| Paper: [arXiv 2606.06492](https://arxiv.org/abs/2606.06492) · | |
| Product: [code2lora.app](https://code2lora.app) · | |
| CLI: `pip install code2lora` | |