Implement DeepSpeed FastGen worker
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 39.5k
- Forks
- 4.8k
- PR merge metrics
- No merged PRs in 30d
Description
Microsoft published Fastgen with impressive results compared to vllm. Getting this implemented should not be too complicated
https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen
Contributor guide
No contributing guide indexed for this repository
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.
Research direction
The issue names no FastChat file, test, or entry point; begin by reading the linked DeepSpeed FastGen material and locating the repository's worker implementation. Done means a DeepSpeed FastGen worker is implemented and its serving behavior is validated, but the issue does not define specific tests or acceptance details.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100