[Examples] QwenOmni Example

[kylesayrs]

Purpose

• Resolves [Bug]: get_input_embeddings not auto‑handled for Qwen3OmniMoeForConditionalGeneration #1872
• Support Qwen3OmniMoeForConditionalGeneration

Changes

• Pass model.thinker to oneshot, since model does not implement a forward method (the thinker module is a PreTrainedModel that contains all of the parameters worth quantizing)
• Patch the fast_pos_embed_interpolate to support accelerate offloading
• Patch dataloader to squeeze image_grid_thw, but leave pixel_values and other inputs unsqueezed
• Save example audio generation

Testing

• Ran example and produced sane outputs
  output.wav

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[gemini-code-assist]

Summary of Changes

Hello @kylesayrs, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates the Qwen3OmniMoeForConditionalGeneration model by providing a comprehensive example for its quantization using llmcompressor. It addresses specific technical requirements such as patching the position embedding interpolation for offloading compatibility and adjusting data collation for multimodal inputs, ultimately enabling efficient and functional use of this advanced model.

Highlights

• Qwen3OmniMoeForConditionalGeneration Support: This pull request introduces support for the Qwen3OmniMoeForConditionalGeneration model, enabling its use within the system.
• New Example Script: A new example script, qwen3_omni_example.py, has been added to demonstrate the quantization of the Qwen3OmniMoeForConditionalGeneration model using llmcompressor's oneshot functionality.
• Position Embedding Patch: The fast_pos_embed_interpolate function has been patched to correctly handle scenarios where pos_embed.weight might be offloaded, ensuring compatibility with accelerate offloading strategies.
• Custom Data Collator: A custom data_collator is implemented to properly squeeze the image_grid_thw tensor while leaving other inputs unsqueezed, which is crucial for correct data processing during calibration.
• Audio Generation Example: The example now includes saving generated audio output to sample_output.wav, showcasing the model's multimodal capabilities.

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[gemini-code-assist]

Code Review

This pull request introduces a new example for Qwen3OmniMoeForConditionalGeneration, including a patch to support accelerated offloading. The example script demonstrates how to perform one-shot quantization with GPTQ and generate sample outputs. The changes are well-structured and the example is clear. My review includes a suggestion to improve the performance of the patch file by using more efficient tensor operations, and a comment on improving the clarity of the example script's save directory naming.