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 supported18 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- Yejin/fix warmup drain
- [Frontend] Cache system prompt token IDs across requests
- [Bugfix] Fix wrong num_experts in invoke_fused_moe_wna16 kernels
- [Feature]: Supports Speculative Speculative Decoding
- [Bug]: Prolonged Latency in Some Streaming Responses in Function Call Mode(MiniMax model)
- [Bug]: FlashInfer JIT build fails when serving Qwen3.5-35B-A3B (nvcc path found but ninja build fails)
- [PluggableLayer][4/N] Apply PluggableLayer to remaining layers
- [Bug]: prefix cach hit降到了0,running的seq也是逐步下降到0
- [Bug]: torch._inductor.exc.InductorError:
- [Bug]: Pseudo-Streaming Issue When Using Tool Parser with Qwen3-Coder and MiniMax-M2
- Docs
- Python not yet supported