Seed1.5-VL  by ByteDance-Seed

Vision-language foundation model for multimodal understanding/reasoning

created 2 months ago
1,345 stars

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Project Summary

Seed1.5-VL is a vision-language foundation model designed for general-purpose multimodal understanding and reasoning. It targets researchers and developers seeking state-of-the-art performance across a wide range of vision-language tasks, offering versatile capabilities from complex reasoning to agent-centric interactions.

How It Works

Seed1.5-VL employs a hybrid architecture featuring a 532M parameter vision encoder and a 20B parameter Mixture-of-Experts (MoE) Large Language Model (LLM). This design balances performance with efficiency, enabling state-of-the-art results on numerous benchmarks while managing computational resources. The model excels in diverse areas including visual puzzles, OCR, diagram interpretation, visual grounding, 3D spatial understanding, and video comprehension.

Quick Start & Requirements

  • The model is available via HuggingFace Spaces and Volcano Engine.
  • Usage cookbooks are provided for Gradio demos, LongCoT, 2D grounding, 3D understanding, video understanding, and GUI agents.
  • Specific hardware requirements are not detailed in the README, but the model's scale suggests significant computational resources.

Highlighted Details

  • Achieves state-of-the-art performance on 38 out of 60 public vision-language benchmarks.
  • Demonstrates strong capabilities in agent-centric tasks, including GUI control and gameplay.
  • Supports advanced multimodal reasoning, including visual puzzles and diagram understanding.

Maintenance & Community

  • The project is from the ByteDance Seed Team, founded in 2023.
  • A call for bad cases is open via GitHub issues to improve the model.
  • Links to HuggingFace Spaces and a technical report are provided.

Licensing & Compatibility

  • The repository is licensed under the Apache-2.0 License.
  • This license is permissive and generally compatible with commercial use and closed-source applications.

Limitations & Caveats

The README does not specify hardware requirements or provide direct model weights for local deployment, directing users to cloud platforms like Volcano Engine. Detailed performance metrics beyond benchmark counts are not immediately available.

Health Check
Last commit

1 month ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
2
Star History
1,363 stars in the last 90 days

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