sglang-diffusion-modelopt-quant
OfficialModelOpt diffusion quantization for SGLang.
AuthorOpenMOSS
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enable end-to-end quantization of diffusion DiT models with NVIDIA ModelOpt, producing FP8 or NVFP4 checkpoints that are loadable, verifiable, and benchmarkable in SGLang Diffusion.
Core Features & Use Cases
- Quantize diffusion transformers using ModelOpt's FP8 or NVFP4 paths.
- Convert and adapt ModelOpt exports to SGLang Diffusion format.
- Validate accuracy and benchmark performance of the quantized model.
- Maintain a clear separation between general converter logic and model-specific branching.
Quick Start
Quantize a diffusion DiT with ModelOpt, convert the exported checkpoint to SGLang Diffusion, and validate its accuracy and speed.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: sglang-diffusion-modelopt-quant Download link: https://github.com/OpenMOSS/MOSS-VL/archive/main.zip#sglang-diffusion-modelopt-quant Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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