LAION-AI / LAION-AI/Open-Assistant
Load test different models in the inference-server
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inference
testing
- Dominant language
- Python
- Stars
- 37.4k
- Forks
- 3.3k
- PR merge metrics
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Description
We want to test the performance of different models within the inference server to understand how it scales with model size such as;
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 inference-server entry point and any existing load-testing or benchmarking setup. Define runs for distilgpt2 and pythia-12B, then compare performance as model size changes; done means reproducible results that show how the server scales.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- backend, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100