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
- draft wip mamba mtp state replay
- [BugFix] Fix MXFP8 checkpoint loading when quant_method collides with online shorthand
- docs: explain CUDA graph memory tuning
- docs: clarify Gemma 4 MTP assistant quantization
- docs: add TurboQuant KV cache presets
- vLLM plumbing for cuteDSL hd512 FP8 kv cache kernel integration.
- Hardware-agnostic model definition for DeepSeek V4
- [Docs] clarify NIXL KV transfer stats semantics
- [Bug]: minimax M3MXFP8 with --kv-cache-dtype fp8 can not start success
- feat(serve): Add /readiness/stages endpoint for model-ready autoscaling
- Docs
- Python not yet supported