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ddz16
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Model Details
Model Provider
ddz16
Model Tree
Qwen/Qwen3-VL-8B-Instruct
Input Modalities
Output Modalities
Supported Functionality
The CamDistill repo provides a one-line entry point that applies the official prompt and the exact video settings used for training and evaluation:
bash
python camera_movement_sft/infer_single.py \--model ddz16/CamSFT-8B \--video /path/to/video.mp4
CamSFT is a standard Qwen3-VL model, so it can be loaded directly:
python
from transformers import Qwen3VLForConditionalGeneration, AutoProcessormodel = Qwen3VLForConditionalGeneration.from_pretrained("ddz16/CamSFT-8B", dtype="bfloat16", device_map="auto")processor = AutoProcessor.from_pretrained("ddz16/CamSFT-8B")
The exact system/user prompt and the video preprocessing (fps, max frames, resolution) are provided in the CamDistill repo; using them is required to reproduce the paper's results.