sgl-project / sgl-project/SpecForge
[Feature] VLM model support tp
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- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 346
- Avg merge
- 4d 1h
- Merged PRs (30d)
- 41
Description
Checklist
- 1. If the issue you raised is not a feature but a question, please raise a discussion at https://github.com/sgl-project/SpecForge/discussions/new/choose Otherwise, it will be closed.
- 2. Please use English, otherwise it will be closed.
Motivation
VLM model support tp
Related resources
No response
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 files, tests, or entry points. First clarify which VLM models and what “tp” means, then locate the relevant Python/PyTorch model and parallelism paths and define validation for supported VLM tensor-parallel execution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100