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
- [SpecDecode] Support quantized DFlash2 selectors and owned DFlash/DSpark heads
- [Bugfix][ToolParser] Fix ValueError on second action block in InternLM2 streaming
- [MoE][NVIDIA] Add FlashInfer NVFP4 shared-expert fusion
- [ROCm][DSV4][Perf] Pack sparse-MLA ragged decode metadata into graph buffers
- [Bug]: Mooncake connector misreads min()-collapsed cache_config.block_size as physical block size; hybrid models with mixed KV group sizes break PD transfer
- Add Mooncake EP all-to-all backend
- [Kimi-K3][ROCm] Tune the recurrent KDA decode launch
- [Bugfix][Multimodal] Reject empty Qwen2-VL video samples
- [Core] Prefer a block-outermost KV cache layout when layers can be packed
- [Tracing] Parent llm_request span to the active FastAPI span
- Docs
- Python not yet supported