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
- [MM][Perf][CG] Enable encoder CUDA Graph for MiniCPM-V
- [WIP][Kernel] Fuse QK RMSNorm AR + RoPE for MiniMax M2
- [Bugfix][Quantization] Fix INC/AutoRound GPTQ routing for group-misaligned TP shards
- [Core] Add token-budget-bounded early KV prefetch for waiting requests
- [Model] Support for Zyphra ZAYA1 models
- [Model][Gemma4] Support AutoRound/GPTQ quantized router and packed MoE weights
- [Frontend] Return rendered prompt text in chat completion response
- [feat] Add FP8 per-tensor Q scale support to Triton attention backend
- [CI] De-flake failure CI test "test_async_scheduling::test_without_spec_decoding"
- [Bugfix] Remove nested torch.compile in GDN rearrange_mixed_qkv causing CUDA graph capture failure
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