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 supported2 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Benchmark] Add block_size option to benchmark_throughput.py
- [Bug]: Met a error when deploying an AWQ model on H20.
- [Feature]: Expert parallel for mixture-of-experts models
- [Feature]: performance optimization by nanoflow
- [Feature]: Add support for `GPTNeoXForSequenceClassification`
- Update awq fused latest
- [Feature]: Support for quantization
- Adding Cascade Infer to FlashInfer
- [Usage]: How to use vllm infer video with Internvl2 8b multimodal model
- [New Model]: VisionEncoderDecoderModel
- Docs
- Python not yet supported