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DeepSeek-AI has released the DeepSeek-VL2 series, an open-source suite of vision-language AI models featuring a Mixture-of-Experts (MoE) architecture. The release includes three models with parameters of 3 billion, 16 billion, and 27 billion, which demonstrate competitive performance with existing models such as Qwen2, InternVL2, GPT-4o, and Claude 3.5. The VL2 model enhances visual capabilities, allowing for tasks such as visual positioning, meme analysis, optical character recognition (OCR), and visual story generation. Despite the advancements, there are inquiries regarding the availability of a DeepSeek-VL2 API endpoint, as some users question whether there are superior models that may limit the need for it.
DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with Mixture-of-Experts (MoE) Architecture Redefining Vision-Language AI https://t.co/GbTx3VE5Cd #VisionLanguageAI #DeepSeekVL2 #AIModels #MachineLearning #OpenSourceAI #ai #news #llm #m… https://t.co/UuFh3by4Lx
DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with Mixture-of-Experts (MoE) Architecture Redefining Vision-Language AI Researchers from DeepSeek-AI have introduced the DeepSeek-VL2 series, a new generation of open-source… https://t.co/JLFywxP3ix
Why is no one offering a DeepSeek-VL2 API endpoint? Is there a better model that makes it not worth running? Even DeepSeek's own API doesn't offer it
