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Ovis-1.6: An Open-Source Multimodal Large Language Model (MLLM) Architecture Designed to Structurally Align Visual and Textual Embeddings

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Similarly, in the RealWorldQA benchmark, Ovis outperformed leading proprietary models such as GPT4V and Qwen-VL-Plus, scoring 2230, compared to GPT4V’s 2038. Don’t Forget to join our 52k+ ML SubReddit. For instance, in the MathVista-Mini benchmark, Ovis scored 1808, significantly higher than its competitors.