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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](fp8.md) |
| GGUF | [GGUF](gguf.md) |
## 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.