mlcommons / mlcommons/inference
Enabling vllm in llama2-70b
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- Dominant language
- Python
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- Avg merge
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- Merged PRs (30d)
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Description
I am trying to implement the vllm flag in this reference implementation, however as I understand I have to manually spin up vllm outside of running the benchmark. However, the dockerfile does not include any vllm package installation. I was wondering which version of vllm was used to test this. Thanks!
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 inspecting the llama2-70b reference implementation, its vllm flag, and the Dockerfile. Establish which vllm version the benchmark setup expects and how the package should be included. Done means the requested vllm-enabled benchmark setup is reproducible and its dependency version is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100