The checkpoint was initialized from Qwen/Qwen2.5-VL-7B-Instruct 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.

Usage

python

from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration

model_id = "path-or-hf-repo-id"
processor = AutoProcessor.from_pretrained(model_id)
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(model_id)

For benchmark reproduction, place this checkpoint at:

model/original_model/Qwen2.5-VL-7B-original

and pass it as --original_dir in the S-MLLMUn training scripts.

ZhenZeng/S-MLLMUn-Qwen2.5-VL-7B-original

S-MLLMUn

S-MLLMUn Qwen2.5-VL Original Model

Usage

ZhenZeng/
S-MLLMUn-Qwen2.5-VL-7B-original