Instructions to use inclusionAI/Ling-3.0-flash-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
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README.md
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# Introduction
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We are introducing Ling-3.0-flash-VL, our next-generation native multimodal model. Built upon Ling-3.0-flash, it brings visual information into the complete process of understanding, reasoning, acting, and verification—advancing beyond image and video perception to solving real-world tasks through vision.
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With 124B total parameters, only 5.5B activated parameters per token, support for image and video inputs, and a context window of up to
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# Model Overview
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Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window of up to 1M tokens.
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# Introduction
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We are introducing Ling-3.0-flash-VL, our next-generation native multimodal model. Built upon Ling-3.0-flash, it brings visual information into the complete process of understanding, reasoning, acting, and verification—advancing beyond image and video perception to solving real-world tasks through vision.
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With 124B total parameters, only 5.5B activated parameters per token, support for image and video inputs, and a context window of up to 256K tokens, Ling-3.0-flash-VL delivers powerful multimodal reasoning and agentic capabilities with exceptional efficiency.
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# Model Overview
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Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window of up to 1M tokens.
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