Our advanced models and datasets for exploring the frontiers of MT
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Papers
DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking
HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application
An unified model for multimodal understanding, text-to-image generation, and image editing.
With 29B parameters, Ovis1.6-Gemma2-27B achieves exceptional performance in the OpenCompass benchmark, ranking among the top-tier open-source MLLMs.
Our advanced models and datasets for exploring the frontiers of MT
Our next-generation MLLMs for native-resolution vision and advanced reasoning
An unified model for multimodal understanding, text-to-image generation, and image editing.
Our latest advancement in multi-modal large language models (MLLMs)
With 29B parameters, Ovis1.6-Gemma2-27B achieves exceptional performance in the OpenCompass benchmark, ranking among the top-tier open-source MLLMs.
Ovis1.5 is fully open-source: we release training datasets, training & inference codes, and model weights.