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 supported36 Subscribers
View all SubscribersAdd a CodeTriage badge to vllm
Help out
- Issues
- [Quant] Let DeepGEMM consume prequantized activations
- [RFC]: Per-request activation of multiple LoRA adapters with static scales
- [MoE] Accept prequantized DeepGEMM inputs
- [Quant] Fuse all-reduce RMSNorm with packed FP8
- [Quant][DeepSeek V3.2] Fuse attention FP8 quantization
- [Quant][DeepSeek V3.2] Reuse fused quantized inputs
- [Quant][MTP] Reuse packed FP8 logits inputs
- [RFC]: Bounded-memory video sessions — KV retention for long-running streaming-input requests
- [Model] Enable LoRA support for tower and connector in Cosmos3-Edge
- [Bugfix][Model] Fix Inkling NVIDIA sconv cache block-size mismatch
- Docs
- Python not yet supported