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(quant): forward MiniMax M3 SwiGLU parameters to FusedMoEQuantConfig in int8 paths
- [Core] Optimize sliding-window prefix-cache miss scan
- [Bug]: Gemma4 (probably other models with missing v_proj) breaks with mixed quantization
- [CI/Build] Remove stale xfail marks from min_tokens e2e tests
- DFlash SWA — resolved for personal build
- [Bugfix] Allow untyped tool schemas to coerce JSON values
- [Feature]: Support NVIDIA Nemotron 3.5 ASR Streaming (nemotron-3.5-asr-streaming-0.6b)
- [Perf] Maintain persistent penalty statistics instead of per-step CPU rebuild in V1 sampler
- [ROCm][CI] Set query_len_support=UNIFORM for TRITON_MLA to fix MTP CUDA-graph capture
- [Bugfix][Kernel] Re-bias exponent in BF16 NVFP4 Marlin scale dequant
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