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llava-hf/llava-onevision-qwen2-7b-si-hf
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This repository contains the fine-tuned original LLaVA-OneVision checkpoint used by S-MLLMUn before applying unlearning methods.
The checkpoint was initialized from llava-hf/llava-onevision-qwen2-7b-si-hf and fine-tuned on the S-MLLMUn benchmark fine-tuning data. Tokenizer and processor files are copied from the base model so the checkpoint can be loaded directly with Transformers.
python
from transformers import AutoProcessor, LlavaOnevisionForConditionalGenerationmodel_id = "path-or-hf-repo-id"processor = AutoProcessor.from_pretrained(model_id)model = LlavaOnevisionForConditionalGeneration.from_pretrained(model_id)
For benchmark reproduction, place this checkpoint at:
text
model/original_model/llava-onevision-qwen2-7b-original
and pass it as --original_dir in the S-MLLMUn training scripts.