[misc] Add a PyTorch version warning for Conv3D.

[tangefly]

What does this PR do?

Add a PyTorch version warning for Conv3D.

fixes #9282

Before submitting

• Did you read the contributor guideline?
• Did you write any new necessary tests?

[gemini-code-assist]

Summary of Changes

Hello @tangefly, 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 enhances user guidance by incorporating a critical warning about potential Conv3D performance issues with PyTorch 2.9. Additionally, it refines the documentation by updating quickstart examples and configuration references to feature the Llama3-8B-Instruct model, ensuring that users are presented with the most relevant and up-to-date information for model fine-tuning, inference, and deployment. Minor cleanup of outdated model and dataset listings also improves documentation accuracy.

Highlights

• PyTorch Conv3D Warning: A warning has been added to both English and Chinese READMEs advising against using PyTorch 2.9 for models relying on Conv3D due to potential severe performance degradation, referencing PyTorch issue #166122.
• Documentation Examples Update: The English and Chinese READMEs have been updated to reflect current best practices and examples, specifically transitioning quickstart commands and configuration references from Qwen3-4B-Instruct to Llama3-8B-Instruct models.
• Outdated Entries Removal: Obsolete entries for the 'Youtu-LLM' model and 'DLR-Web (en)' dataset have been removed from both English and Chinese README files to maintain accuracy and relevance.

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[gemini-code-assist]

Code Review

This pull request introduces a warning about a performance degradation issue with Conv3D in PyTorch 2.9 in both the English and Chinese README files. It also includes several maintenance changes, such as removing a deprecated model and dataset from the documentation, and updating example commands to use llama3 instead of qwen3. The changes are mostly good, but I've found a small issue in the English README where the PyTorch issue reference can be improved to be a clickable link and a typo can be removed.

[gemini-code-assist]

For better readability and user experience, it would be great to make the PyTorch issue reference a clickable link. Also, there seems to be a stray dot on the next line which can be removed.

Suggested change

	> Models that rely on Conv3D are not recommended to run on PyTorch 2.9, as Conv3D performance may degrade severely in this version. Refer to PyTorch #166122
	.
	> Models that rely on Conv3D are not recommended to run on PyTorch 2.9, as Conv3D performance may degrade severely in this version. Refer to [PyTorch #166122](https://github.com/pytorch/pytorch/issues/166122).

[hiyouga]

Do not delete these lines

[hiyouga]

Please add it to code, instead of readme file

[hiyouga]

for example: https://github.com/hiyouga/LlamaFactory/blob/v0.9.2/src/llamafactory/data/template.py#L551-L552

[hiyouga]

do not modify these lines

[hiyouga]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces a valuable check in load_model to prevent the use of models containing Conv3D layers with PyTorch 2.9.x versions, which are known to have severe performance regressions. The implementation correctly identifies this combination and raises a ValueError with a clear, informative message. This is a solid approach to proactively avoid a known issue. My feedback includes a minor point on code hygiene regarding an unused import.

[hiyouga]

LGTM