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

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
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