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Update doc on vLLM support #981

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Update doc on vLLM support #981

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MartinGleize
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What does this PR do? Please describe:
Updates the vLLM part of the end-to-end finetuning tutorial.

Does your PR introduce any breaking changes? If yes, please list them:
No

Check list:

  • Was the content of this PR discussed and approved via a GitHub issue? (no need for typos or documentation improvements)
  • Did you read the contributor guideline?
  • Did you make sure that your PR does only one thing instead of bundling different changes together?
  • Did you make sure to update the documentation with your changes? (if necessary)
  • Did you write any new necessary tests?
  • Did you verify new and existing tests pass locally with your changes?
  • Did you update the CHANGELOG? (no need for typos, documentation, or minor internal changes)

@MartinGleize MartinGleize requested a review from zyaoj as a code owner January 21, 2025 13:06
@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jan 21, 2025
zyaoj
zyaoj reviewed Jan 21, 2025
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Thanks for updating this! LGTM! Just a nit comment then we should be good to go.

doc/source/tutorials/end_to_end_fine_tuning.rst Outdated
**Step 2: Convert XLFormer checkpoint to HF checkpoint**

After obtaining the XLFormer checkpoint, the next step is to convert it to the Hugging Face format. Please refer to the official `HF script`_.
Architecture ``--model`` must exist and be defined in `e.g.` :meth:`fairseq2.models.llama.archs.register_archs`.
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per the latest refactoring, we should update the :meth:xxx to this new one: https://github.com/facebookresearch/fairseq2/blob/main/src/fairseq2/models/llama/_config.py#L105

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Thank you @zyaoj , fixed this.

zyaoj
zyaoj approved these changes Jan 21, 2025
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LGTM! We can probably wait a bit for @cbalioglu to land the refactoring then to merge this together with #977.

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@zyaoj zyaoj zyaoj approved these changes

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