---
license: mit
base_model: Qwen/Qwen2.5-Coder-1.5B
library_name: peft
tags:
  - code
  - rust
  - rust-lightning
  - lora
  - peft
  - code2lora
---

# rust-lightning-code2lora PEFT Adapter

This is a Code2LoRA-generated LoRA adapter conditioned on the
`lightningdevkit/rust-lightning` repository.

It was generated with the static direct Code2LoRA checkpoint from
`code2lora/code2lora-direct`, using `Qwen/Qwen3-Embedding-0.6B` for repository
embeddings and targeting `Qwen/Qwen2.5-Coder-1.5B`.

## Important Caveats

This is not a conventional supervised fine-tune on rust-lightning examples. It
is a repository-conditioned adapter generated by the Code2LoRA hypernetwork.
The released Code2LoRA checkpoint was trained/evaluated on Python repositories,
so Rust/LDK quality should be treated as experimental.

For chat use, prefer the GGUF instruct variant in
`benthecarman/rust-lightning-code2lora-gguf`.

## Local Use

```python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "Qwen/Qwen2.5-Coder-1.5B"
adapter = "benthecarman/rust-lightning-code2lora-adapter"

tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
```

## Provenance

- Target repository: `lightningdevkit/rust-lightning`
- Local source commit used during generation: `5049f7c02`
- Code2LoRA checkpoint: `code2lora/code2lora-direct`
- Rank: 16
- Alpha: 32