Ant Bailing has officially open sourced its first native multimodal model, Ling-3.0-flash-VL.
55 minutes ago
Ant Bailing has officially open-sourced its first native multimodal model, Ling-3.0-flash-VL. The model was previously launched via API; this release includes BF16 and FP8 weights under the MIT license, with FP4 and INT4 versions to follow later. Ling-3.0-flash-VL can process images, videos, documents, and software interfaces, then call tools to complete operations, and further check and modify based on execution results. For example, when building a webpage, it can write code based on reference images, then review the actual page performance and adjust it on its own. The model uses a Mixture of Experts (MoE) architecture, with approximately 124 billion total parameters and around 5.5 billion activated parameters per inference run. Its context window can be extended up to 1 million tokens. Ling-3.0-flash-VL inherits the core advantage of Ling-3.0-flash as an efficient execution node in agent workflows, balancing output quality and operational efficiency in visual feedback loops, enabling it to complete full tasks at lower cost and in less time.
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