Vision-language foundation model for multimodal understanding/reasoning
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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
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Maintenance & Community
Licensing & Compatibility
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.
1 month ago
Inactive