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LongVU_Qwen2_7B-RRPO-16f
pritamqu/LongVU_Qwen2_7B-RRPO-16f
LongVU_Qwen2_7B-RRPO-16f is a machine learning model from pritamqu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
<a href='https://arxiv.org/abs/2504.12083'<img src='https://img.shields.io/badge/arXiv-paper-red'</a <a href='https://pritamqu.github.io/RRPO/'<img src='https://img.shields.io/badge/project-RRPO-blue'</a <a href='http…
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7.7B
15.3 GB on disk
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At a glance
- License
- apache-2.0
- Model type
- cambrian_qwen
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 17, 2025
- SHA
- 2b4a68c2
Base models
Model card
From the Hugging Face model README
<a href='https://arxiv.org/abs/2504.12083'><img src='https://img.shields.io/badge/arXiv-paper-red'></a> <a href='https://pritamqu.github.io/RRPO/'><img src='https://img.shields.io/badge/project-RRPO-blue'></a> <a href='https://huggingface.co/datasets/pritamqu/self-alignment'><img src='https://img.shields.io/badge/huggingface-datasets-green'></a> <a href='https://huggingface.co/collections/pritamqu/rrpo-67fbc8c048b298a5fdfb167b'><img src='https://img.shields.io/badge/model-checkpoints-yellow'></a> </a><a href='https://github.com/pritamqu/RRPO'><img src='https://img.shields.io/badge/github-repository-purple'></a>
Installation
Clone the repository and navigate to the RRPO directory:
git clone https://github.com/pritamqu/RRPO
cd RRPO
conda create -n longvu python=3.10 -y
conda activate longvu
pip install -r longvu.txt
Download weights
git clone [email protected]:pritamqu/LongVU_Qwen2_7B-RRPO-16f
Inference
conda activate longvu
WEIGHTS_ROOT="./"
## using merged weights
python inference.py \
--base_model_name "longvu_qwen_7b" \
--model-path ${WEIGHTS_ROOT}"/LongVU_Qwen2_7B-RRPO-16f" \
--video_path "sample_video.mp4" \
--question "Describe this video." \
--model_max_length 1024
- Type
- cambrian_qwen
- License
- apache-2.0
- Created
- Apr 16, 2025
- Updated
- Apr 17, 2025