vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- fix(kv-cache): allow TurboQuant on hybrid models
- [WIP]Support DeepSeek V4 flash on SM120 with Triton fallback
- [NIXL][Bugfix] Fix block indexing in KV cache transfer for blocks-first layouts
- [Bug]: vLLM v1 with prefix caching: first request differs from subsequent identical requests at temperature=0
- [Installation]: ERROR: Failed building wheel for vllm
- [Bugfix] Skip flashinfer-rope variant in QK norm+RoPE fusion
- [Bug]: RuntimeError: flashinfer_fp8_blockscale_gemm fails on H100 NVL MIG 3g.47gb with Qwen3.6-35B-A3B-FP8
- [Bug]: Deepseek-V4-Flash failed to load on 8*L20
- [torch.compile] reuse aot_compile_hash_factors in VllmBackend
- feat: mla prefill merge state fuse static fp8
- Docs
- Python not yet supported