NVIDIA-NeMo / NVIDIA-NeMo/Automodel
feat(speculative): validate multimodal speculative decoding training
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community-request
waiting-on-maintainers
- Dominant language
- Python
- Stars
- 963
- Forks
- 318
- Avg merge
- 3d 20h
- Merged PRs (30d)
- 143
Description
Track remote validation for PR #3166.
Scope:
- Run the focused MSD unit tests in the server environment.
- Exercise the VLM target wrapper with a minimal image-conditioned forward.
- Post the resulting command output and any follow-up findings here.
Contributor guide
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
Start by reviewing PR #3166 and locating the focused multimodal speculative decoding unit tests and VLM target wrapper it changes. Run the focused tests in the server environment, exercise the minimal image-conditioned forward, and post the command output plus any follow-up findings here.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100