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
- [RFC]: Early KV transfer for direct Mooncake P/D
- [ROCm][Perf][Qwen3.8] Add dense mono decode for Qwen3.8-27B on MI355X.
- [Docs][Model] Add Qwen2.5-Coder-1.5B-Instruct to batch invariance tested models
- [Perf] Lower FlashInfer CuTeDSL BF16 GEMM to aten mm above 32 tokens
- [Bugfix][KV Connector][NIXL] Support heterogeneous P/D TP for mixed MLA models
- [Bugfix] Reserve construction-time scratch across workspace slots
- [ROCm] Default AITER on for CDNA3+ when the package is installed
- Fix shutdown order: drain engines before stopping API servers with --api-server-count > 1
- [CPU][Bugfix] Respect expert map in unquantized MoE
- [Quantization][INC][XPU] Add online NVFP4 to AutoRound MXFP4 conversion
- Docs
- Python not yet supported