vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Frontend] Add HTTP/2 support via Hypercorn (--enable-http2)
- Feat/rocm cpu hints
- [Perf] Add tuned Triton fused MoE configs for NVIDIA H20
- [Bugfix][Benchmark] Fix dataset stats plot filename
- [Config] Add field validators for attention, KV/EC transfer, and KV events configs
- [Kernel] Use FlashInfer CUDA BGMV MoE Kernel for Multi-LoRA MoE dispatch
- Kenn/rusty
- [Kernel] Fuse align and sort for small-batch many-expert routing
- [Bug]: v0.22.0 fails to load nvidia/Qwen3.6-35B-A3B-NVFP4: lm_head.input_scale not registered
- Revert "[Bugfix] Fix RMSNorm kernels to multiply in weight's native dtype" (#42379)
- Docs
- Python not yet supported