Model worker with Nvidia NIM?
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- Dominant language
- Python
- Stars
- 39.5k
- Forks
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Description
Nvidia has their own solution to deploy large language models.
Would it make sense to have an adapter?
https://developer.nvidia.com/blog/deploy-multilingual-llms-with-nvidia-nim
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
Start by reading the linked NVIDIA NIM deployment article, then inspect FastChat's serving and deployment entry points to determine whether an adapter is feasible. Done would require a concrete adapter scope and acceptance criteria; this issue names no files, tests, or specific model workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100