NVIDIA / NVIDIA/Model-Optimizer

Support PTQ for Qwen3 Omni

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#647 4 comments 0 reactions 1 assignee View on GitHub

@ajrasane is already working on this.

Since Dec 15, 2025.

feature request investigating model support torch.quantization
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Python
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Description

Detailed description of the requested feature

Qwen3 Omni is a relatively new omni model that can process text/audio/image inputs and text/audio outputs. Would be nice if we can quantize it using modelopt to NVFP4 or AWQ.

The model consists of a few submodules:

  • Vision encoder (Same as Qwen3 VL Vision Encoder)
  • Audio encoder (Stack of conv2d + stack of encoder-decoders)
  • Thinker (Qwen3 30B A3B)
  • Audio output: Talker (Qwen3 MoE scaled down with some minor variations)
  • Audio output: Multi-token prediction (Qwen3 MoE scaled down with some minor variations)
  • Audio output: Code2Wav (ConvNet)
Describe alternatives you've considered

Qwen3 Omni is supposed to be supported by GPTQModel but has vram memory leak issue.

Target hardware/use case

Blackwell

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