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][CPU] Fail fast when MLA head dimensions are not supported by the CPU decode kernel
- [Kernel] Add tuned fused_moe config for NVIDIA GB10 (Nemotron-3-Super shape, E=512 N=2688)
- [Quantization] Add Stage 1 (CPU-only, reference) BitNet ternary quantization backend
- [Bugfix][LoRA] Fix PEFT 0.18+ target_parameters LoRA loading for 3D MoE experts
- docs: document NIXL KV connector metrics aggregation semantics
- [bot] Fix Gemma4-E2B heterogeneous per-layer config support
- [Bug] Fix cudaErrorNoKernelImageForDevice in fused_add_rms_norm for T…
- [Model Runner][Multimodal] Add exact-budget encoder CUDA graphs for Cosmos3-Edge
- [Bugfix][MM][CG] Skip encoder CUDA graphs on non-first PP ranks
- [Spec Decode] Cache adaptive verification profiles
- Docs
- Python not yet supported