Valley 2.0
Introduction
Valley github is a cutting-edge multimodal large model designed to handle a variety of tasks involving text, images, and video data, which is developed by ByteDance. Our model not only
- Achieved the best results in the inhouse e-commerce and short-video benchmarks
- Demonstrated comparatively outstanding performance in the OpenCompass (average scores > 67) tests
when evaluated against models of the same scale.
Release
- [12/23] 🔥 Announcing Valley-Qwen2.5-7B!
Valley-Eagle
The foundational version of Valley is a multimodal large model aligned with Siglip and Qwen2.5, incorporating LargeMLP and ConvAdapter to construct the projector.
- In the final version, we also referenced Eagle, introducing an additional VisionEncoder that can flexibly adjust the number of tokens and is parallelized with the original visual tokens.
- This enhancement supplements the model’s performance in extreme scenarios, and we chose the Qwen2vl VisionEncoder for this purpose.
and the model structure is shown as follows:
Environment Setup
pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121
pip install -r requirements.txt
License Agreement
All of our open-source models are licensed under the Apache-2.0 license.
Citation
Coming Soon!
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