Ray+Vllm+Lora
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
This is an open feasibility question, not a scoped task: it asks whether LoRA can be used when training InternVL with the Ray + vLLM path, and no file, entry point or acceptance criterion is named. Start by reading how the Ray/vLLM rollout and training scripts wire the policy model and where adapters would attach, then check whether the vLLM integration supports LoRA serving at all. Done would mean a maintainer answer plus a documented recipe or a scoped follow-up issue — not a patch a newcomer can land alone.
Written by the indexing model from the issue text.
Description
When training InternVL using Ray and VLLM, is it possible to use LoRA to save resources?
- Dominant language
- Python
- Stars
- 10.1k
- Forks
- 1k
- Avg merge
- 5h 19m
- Merged PRs (30d)
- 4
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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