vllm-project/vllm
Features
This section covers cross-cutting capabilities that span multiple systems. Where a feature has a dominant home (e.g., the scheduler owns prefix caching), it gets a section there too — these pages emphasize the user-visible knobs and the integration story.
- Quantization — FP8, MXFP4, NVFP4, INT8, INT4, GPTQ, AWQ, GGUF, compressed-tensors, ModelOpt, TorchAO
- LoRA serving — multi-LoRA, MoE LoRA, hot-swap, filesystem and HF Hub resolvers
- Prefix caching — block hashing, sharing, eviction, salting
- Speculative decoding — n-gram, suffix, EAGLE, MTP, draft models
- Structured outputs — JSON / regex / grammar / choice constrained sampling
- Disaggregated prefill / KV transfer — splitting prefill and decode
- Tool calling and reasoning — tool parsers, reasoning parsers
- Pooling tasks — embeddings, scoring, classification, reranking
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