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attashe
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Model Details
Model Provider
attashe
Model Tree
Qwen/Qwen2.5-VL-7B-Instruct
Input Modalities
Output Modalities
Supported Functionality
python
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessormodel = Qwen2_5_VLForConditionalGeneration.from_pretrained("attashe/Bernini-MLLM-Qwen2.5-VL-7B", dtype="bfloat16", device_map="auto")processor = AutoProcessor.from_pretrained("attashe/Bernini-MLLM-Qwen2.5-VL-7B")
Qwen2_5_VLForConditionalGeneration (8.29B params), bfloat16.bibtex
@article{bernini,title = {Bernini: Latent Semantic Planning for Video Diffusion},author = {Chenchen Liu and Junyi Chen and Lei Li and Lu Chi and Mingzhen Sun and Zhuoying Li and Yi Fu and Ruoyu Guo and Yiheng Wu and Ge Bai and Zehuan Yuan},journal = {arXiv preprint arXiv:2605.22344},year = {2026}}