[bugfix] fix gptq_v2

[Jintao-Huang]

#6102

[gemini-code-assist]

Summary of Changes

Hello @Jintao-Huang, 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 addresses a bug by extending support for the 'gptq_v2' quantization method across key components of the quantization pipeline. It ensures that 'gptq_v2' is properly recognized and processed during argument parsing and dataset preparation, aligning its behavior with the existing 'gptq' method.

Highlights

• GPTQ_V2 Method Recognition: The 'gptq_v2' quantization method is now explicitly recognized in the QuantizeArguments class, ensuring it's handled correctly when determining if a specific quantization configuration is needed.
• Dataset Preparation for GPTQ_V2: The _get_quant_dataset method in quant.py has been updated to include 'gptq_v2' in its valid quantization methods, and to apply the same multimodal data and input ID processing logic as 'gptq'.

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[gemini-code-assist]

Code Review

This pull request introduces support for the gptq_v2 quantization method. The changes correctly integrate gptq_v2 into the existing quantization logic, treating it similarly to the gptq method, particularly for dataset preparation. The implementation is straightforward and appears correct. I have one suggestion regarding code duplication to enhance maintainability.

[gemini-code-assist]

The condition args.quant_method in {'gptq', 'gptq_v2'} is repeated multiple times within this function (here, and on lines 110 and 118). To improve code clarity and future maintainability, consider defining a boolean variable at the beginning of the function and reusing it. For example:

is_gptq_family = args.quant_method in {'gptq', 'gptq_v2'}

You could then use if is_multimodal and is_gptq_family: in the conditional checks.

[Jintao-Huang]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces a fix for gptq_v2 quantization and adds compatibility for newer versions of the transformers library. The changes include updating documentation to warn users about the effects of packing, adding gptq_v2 to relevant logic paths, and implementing a patch for transformers>=4.54. Additionally, the transformers version is pinned in AWQ example scripts. My review focuses on improving the clarity and maintainability of these changes.

[gemini-code-assist]

To improve maintainability and help other developers, it would be beneficial to add a comment explaining why transformers<4.52 is required. This provides context for the version pinning.

Suggested change

	pip install "transformers<4.52"
	pip install "transformers<4.52" # Pinned to avoid compatibility issues with AWQ in newer versions.

[gemini-code-assist]

Similar to the other awq.sh script, please add a comment explaining the reason for pinning the transformers version. This helps with future maintenance and understanding.

Suggested change

	pip install "transformers<4.52"
	pip install "transformers<4.52" # Pinned to avoid compatibility issues with AWQ in newer versions.

[gemini-code-assist]

The keys wf_unsqueeze_zero and wf_unsqueeze_neg_one are not self-descriptive. To improve code clarity and maintainability, please add a comment explaining what these keys are for and why they are necessary for gptq_v2 quantization. This context is crucial for anyone working on this code in the future.