Llama Vision PEFT

[pbontrager]

Context

What is the purpose of this PR? Is it to

• add a new feature
• fix a bug
• update tests and/or documentation
• other (please add here)

Please link to any issues this PR addresses. #1779

Changelog

What are the changes made in this PR?

• Added llama3_vision_tune_to_peft_adapter_weights
• Integrate it into checkpoint

Test plan

Please make sure to do each of the following if applicable to your PR. If you're unsure about any one of these just ask and we will happily help. We also have a contributing page for some guidance on contributing.

• run pre-commit hooks and linters (make sure you've first installed via pre-commit install)
• add unit tests for any new functionality
• update docstrings for any new or updated methods or classes
• run unit tests via pytest tests
• run recipe tests via pytest tests -m integration_test
• manually run any new or modified recipes with sufficient proof of correctness
• include relevant commands and any other artifacts in this summary (pastes of loss curves, eval results, etc.)

from peft import PeftModel
from transformers import MllamaForConditionalGeneration 

model_id = "meta-llama/Llama-3.2-11B-Vision-Instruct"
peft_model_dir = "/tmp/Llama-3.2-11B-Vision-Instruct/"

model = MllamaForConditionalGeneration.from_pretrained(model_id)
peft_model = PeftModel.from_pretrained(model, peft_model_dir)

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1937

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✅ No Failures

As of commit 8d960b5 with merge base e1caa9f ():
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[ebsmothers]

remove

[ebsmothers]

remove

[ebsmothers]

Run a forward parity check please. Only one comment, otherwise looks good