Instructions to use code2lora/code2lora-direct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use code2lora/code2lora-direct with PEFT:
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- Notebooks
- Google Colab
- Kaggle
File size: 818 Bytes
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license: mit
tags: [code, lora, hypernetwork, peft]
---
# Code2LoRA — direct-projection hypernetwork
Final checkpoint of the **direct-projection** Code2LoRA hypernetwork used in
the paper. Maps a repository-level embedding into a rank-16 LoRA adapter for
`Qwen/Qwen2.5-Coder-1.5B` in a single forward pass.
## Files
| File | Description |
|---|---|
| `code2lora_direct.pt` | Trained `Code2LoRAHead` weights (~2.7 GB, fp32). Loaded with `torch.load(map_location="cpu")`. |
## Training recipe
* 3 epochs on the `code2lora/code2lora-data-snapshots` dataset.
* AdamW + cosine schedule, max-seq-len 8192, bf16, single H100 80 GB.
* See [`code2lora/code2lora`](https://github.com/) for the trainer code.
## Companion model
`code2lora/code2lora-gru` -- the streaming-recurrent variant trained on
commit deltas.
|