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
- [Model][Spec Decode] Migrate HY V3 to the Flat Model layout
- [Kernel] ReplaySSM: cache SSM inputs for faster Gated DeltaNet standard decode
- [Quantization] Report the resolved kernel per layer in model inspection
- Skip out-of-window partial-tail store jobs instead of crashing EngineCore (#61970)
- [Model][Kernel] Nemotron-H Lightning NVFP4: batch-invariant serving aligned with training
- [Bugfix][LoRA] Honor apply_router_weight_on_input in MoE LoRA
- Add SVE Paged Attention FP32/FP16 and BF16 kernels
- [Bug]: EAGLE3 draft model with ModelOpt NVFP4 quantization fails to load — quant-excluded embed_tokens allocated as packed parameter
- [Bug]: Multimodal requests stall when the long-prefill cap cannot fit an intact item
- [Bugfix][Frontend] Reject NaN logit_bias values instead of banning the token
- Docs
- Python not yet supported