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
- [Bugfix] Emit a valid media type from encode_{audio,image,video}_url
- [Bugfix][KV Connector] Propagate EAGLE state across merged Mooncake store groups
- [Bug]: MiniMax-M3 NVFP4 produces garbage output + CUDA illegal memory access on Hopper (sm90) via Marlin FP4-MoE
- [Perf] fused_moe: load B weights via TMA tensor descriptor on SM90+
- fix(security): validate allowed_token_ids against model output vocab size
- [ROCm][feature] Add new moe backends supporting int4/int8 weight-only…
- [Bug]: Failed: Cuda error /workspace/csrc/custom_all_reduce.cuh:455 'invalid argument'
- [Docs] quantized_kvcache: add measured performance section, replace deprecated gated example model
- [Bugfix][MiniMax-M3] Avoid NaNs for empty sparse decode rows
- [Bugfix][Model] Remove redundant all_gather_interleave in ViT split_qkv
- Docs
- Python not yet supported