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vllm-omni/docs/user_guide/diffusion/quantization/overview.md
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0b884ebc6c [Feature]: Native GGUF Quantization Support for DiT (#1285)
Signed-off-by: David Chen <530634352@qq.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Signed-off-by: WeiQing Chen <40507679+david6666666@users.noreply.github.com>
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Co-authored-by: Isotr0py <2037008807@qq.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
2026-02-27 11:39:14 +08:00

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Quantization for Diffusion Transformers

vLLM-Omni supports quantization of DiT linear layers to reduce memory usage and accelerate inference.

Supported Methods

Method Guide
FP8 FP8
GGUF GGUF

Device Compatibility

GPU Generation Example GPUs FP8 Mode
Ada/Hopper (SM 89+) RTX 4090, H100, H200 Full W8A8 with native hardware

Kernel selection is automatic.