Add support for vlm checkpoints conversion #1475
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
cklxx
force-pushed
the
add-support-for-vlm-checkpoints-conversion
branch
from
499c814 to
7627680
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Motivation
Enable conversion of Vision-Language-Model (VLM) FSDP checkpoints to Hugging Face format by selecting the correct HF model class based on the model config.
Description
Updated tools/convert_fsdp_to_hf.py to import AutoModelForImageTextToText and added _build_hf_model(config) which prints the detected config.model_type and returns either AutoModelForCausalLM or AutoModelForImageTextToText using trust_remote_code=True.
Testing
Ran linting and formatting checks: ruff check ., black --check ., and isort --check ., all passed.
Ran pytest, which failed during collection with ModuleNotFoundError: No module named 'slime' (test environment import issue).