mlcommons / mlcommons/modelbench
Add support for HF serverless, and specifially Gemma-3-27B-it
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 134
- Forks
- 36
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 17
Description
This issue has no description.
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 locating the existing model-provider integrations and the benchmark entry points in the ModelBench repository. Trace how a model is configured and invoked, then determine what support for Hugging Face Serverless and Gemma-3-27B-it requires. Done means both the serverless service and the named model can run through the benchmark workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100