Xiaomi has unveiled MiMo-VL-7B, a cutting-edge vision-language model (VLM) that combines compact architecture with exceptional performance in multimodal reasoning tasks. Designed to process and understand both visual and textual data, MiMo-VL-7B sets a new benchmark in the field of AI.
Innovative Architecture and Training
MiMo-VL-7B comprises three key components:
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A native-resolution Vision Transformer (ViT) encoder that preserves fine-grained visual details.
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A Multi-Layer Perceptron (MLP) projector for efficient cross-modal alignment.
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The MiMo-7B language model, specifically optimized for complex reasoning tasks.
The model undergoes a two-phase training process:
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Four-Stage Pre-Training: This phase includes projector warmup, vision-language alignment, general multimodal pre-training, and long-context supervised fine-tuning (SFT), resulting in the MiMo-VL-7B-SFT model.
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Mixed On-Policy Reinforcement Learning (MORL): In this phase, diverse reward signals—such as perception accuracy, visual grounding precision, logical reasoning capabilities, and human preferences—are integrated to produce the MiMo-VL-7B-RL model.
Performance Highlights
MiMo-VL-7B demonstrates state-of-the-art performance in various benchmarks:
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Excels in general visual-language understanding tasks.
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Outperforms existing open-source models in multimodal reasoning tasks.
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Exhibits exceptional GUI understanding and grounding capabilities, rivaling specialized models.
Notably, MiMo-VL-7B-RL achieves the highest Elo rating among all evaluated open-source vision-language models, ranking first across models ranging from 7B to 72B parameters.
Accessibility and Deployment
Xiaomi has open-sourced the MiMo-VL-7B series, including both the SFT and RL models, making them available for the research community and developers. The models are compatible with the Qwen2_5_VLForConditionalGeneration architecture, facilitating seamless deployment and inference.
Conclusion
MiMo-VL-7B represents a significant advancement in vision-language modeling, combining compact design with high performance. Through innovative training methodologies and open-source availability, Xiaomi contributes to the broader AI community's efforts in developing sophisticated multimodal systems.
