vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported15 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Feature]: Support Gemma 3 QAT series
- [Bug]: Unknown quantization method: mxfp4
- [Bug]: How to Offload KV Cache to CPU without initializing in GPU Memory ?
- [Model] Systematic support for fp32 head, generation models part
- [Bugfix] Fix triton cache path for standalone_compile
- [Core][EPLB] Refactor step to unify synchronous and asynchronous expert rearrangement
- [Core] Remote Instance Model Loader: A loader used to fetch model weights from a ready vLLM instance.
- [Frontend] Make RequestIdMiddleware return the internal request_id
- [Core] Remove busy loop from idle buffer readers
- [Bug]: Llama4 accuracy issue when torch.compile enabled on MI300x
- Docs
- Python not yet supported