ReWatch R1

ReWatch-R1

[](https://arxiv.org/abs/2509.23652) [](https://rewatch-r1.github.io/) [](https://www.modelscope.cn/models/zcccccz/ReWatch-R1) [](https://www.modelscope.cn/datasets/zcccccz/ReWatch)

**ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis**

This is the official code used to train ReWatch-R1. Note that the code only contains the reinforcement learning part.

🔥 News

[2026/01/26] ReWatch-R1 has been accepted by ICLR 2026.

Using ReWatch-R1 to Inference

Use our model for video reasoning! Please use transformers==4.56.0 and qwen_vl_utils. \ Please download our model [ReWatch-R1](https://www.modelscope.cn/models/zcccccz/ReWatch-R1).\ It is recommended to use the video parameters in the paper (up to 192 frames, with a resolution of 128\*28\*28 per frame). \ For the best results, you must provide the duration of the video in the prompt (for example, 00:00-10:00), and the timestamp should be in the MM\:SS format.

import torch
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
from qwen_vl_utils import process_vision_info

model_path = "ReWatch-R1"

model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
    model_path,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
    attn_implementation="flash_attention_2",
)

processor = AutoProcessor.from_pretrained(
    model_path, 
    trust_remote_code=True,
    use_fast=True,
    padding_side="left",
    truncation_side="right",
)

video_path = "videos/example.mp4"
video_duration = 600
question = "What happened from [05:00] to [05:10]?"

total_pixels = 12288*28*28
min_pixels = 128*28*28
max_pixels = 128*28*28
fps = 2.0
max_frames = 192

video_config = {