feat: Distributed inference (TP/PP)
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 383
- Avg merge
- 5h 40m
- Merged PRs (30d)
- 34
Description
It would be great to add support for single-node, multi-process inference to Tiny LLM.
Contributor guide
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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 files, tests, or entry points. Start by mapping Tiny LLM's existing inference and serving path, then identify how single-node multi-process execution and TP/PP would fit. Done means distributed inference works across multiple processes on one node with coverage for the supported behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100