VerIPO-7B-v1.0

<a href="https://arxiv.org/abs/2505.19000" target="_blank"> <img alt="arXiv" src="https://img.shields.io/badge/arXiv-VerIPO-red?logo=arxiv" height="20" /> </a> <a href="https://github.com/HITsz-TMG/VerIPO" style="display: inline-block; margin-right: 10px;"> <img alt="GitHub Code" src="https://img.shields.io/badge/Code-VerIPO-white?&logo=github&logoColor=white" /> </a>

VerIPO: Long Reasoning Video-R1 Model with Iterative Policy Optimization

VerIPO is a fine-tuned version of Qwen2.5-VL. It has been trained using OpenRLHF.

Quick start

from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
from qwen_vl_utils import process_vision_info

model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
     "Uni-MoE/VerIPO-7B-v1.0",
     torch_dtype=torch.bfloat16,
     attn_implementation="flash_attention_2",
     device_map="auto",
)
processor = AutoProcessor.from_pretrained("Uni-MoE/VerIPO-7B-v1.0")
messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "video",
                "video": "file:///path/to/video1.mp4",
                "max_pixels": 128*28*28,
                "max_frames": 128,
                "fps": 2.0
            },
            {"type": "text", "text": "Describe this video."},
        ],
    }
]
text = processor.apply_chat_template(
    messages, tokenize=False, add_generation_prompt=True
)
image_inputs, video_inputs, video_kwargs = process_vision_info(messages, return_video_kwargs=True)
inputs = processor(
    text=[text],
    images=image_inputs,
    videos=video_inputs,
    padding=True,
    return_tensors="pt",
    **video_kwargs,
)
inputs = inputs.to(model.device)

# Inference: Generation of the output
generated_ids = model.generate(**inputs, max_new_tokens=4096, temperature=1e-6, repetition_penalty=1.05)
generated_ids_trimmed = [
    out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
    generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text)

Experimental Result

Citations

@article{li2025veripo,
  title={VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization},
  author={Li, Yunxin and Chen, Xinyu and Li, Zitao and Liu, Zhenyu and Wang, Longyue and Luo, Wenhan and Hu, Baotian and Zhang, Min},
  journal={arXiv preprint arXiv:2505.19000},
  year={2025}
}