inference/research
verifiedhigh · 0.95updated 2026-10-04

vLLM Quantization Documentation (docs.vllm.ai)

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Fields

id
sources/qhw-src-vllm-quant-docs
Publisher
vLLM
Kind
repo
Accessed
2026-10-04
notes
vLLM quantization documentation. Contains the Implementation x Hardware support table showing which quantization methods work on which GPU architectures. Documents --linear-backend and --kernel-config options for selecting quantization backends. Shows Marlin supports Turing (SM7.5) and above but not Volta (SM7.0). Lists supported formats: AutoAWQ, BitsAndBytes, GPTQModel, Intel Neural Compressor, LLM Compressor (FP8, INT8, INT4), NVIDIA Model Optimizer, Online Quantization, AMD Quark, Quantized KV Cache, TorchAO.

Notes

vLLM quantization documentation. Contains the Implementation x Hardware support table showing which quantization methods work on which GPU architectures. Documents --linear-backend and --kernel-config options for selecting quantization backends. Shows Marlin supports Turing (SM7.5) and above but not Volta (SM7.0). Lists supported formats: AutoAWQ, BitsAndBytes, GPTQModel, Intel Neural Compressor, LLM Compressor (FP8, INT8, INT4), NVIDIA Model Optimizer, Online Quantization, AMD Quark, Quantized KV Cache, TorchAO.

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