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 supported30 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Performance]: Qwen3.6-35B-A3B-FP8 on RTX PRO 6000 Blackwell has very low decode throughput; missing FP8 MoE config for E=256,N=256
- [Model][Test] Add Qwen3.6 (dense + MoE) to multimodal ViT CUDA graph support
- [Bugfix] Normalize non-standard message roles from Claude Code CLI >= 2.1.154
- [NVFP4][Emulation] Fuse NVFP4 weight dequantization with compute in triton kernel for w13/w2 MOE MLP linears
- Add speculative decoding correctness gate
- [Bugfix][Rust] Fix missing added tokens in fastokens tokenizer
- [CI/Build] Skip test_use_trtllm_attention on non-CUDA platforms
- [Benchmark] Auto-detect and correct client/server tokenizer mismatch for random dataset
- fix(scheduler): eager KV cache prefetch for waiting queue requests
- [XPU] Fix memory pointer overflow in Mamba state buffers for XPU(BMG)
- Docs
- Python not yet supported