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            * **Flexible architecture** with user-tunable speed-quality tradeoffs at inference time
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            * **Native resolution processing** up to 512×512 with intelligent patch-based handling for larger images, avoiding upscaling and distortion
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            Find more about our vision-language model in the [LFM2-VL post]( | 
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            ## 📄 Model details
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            * **Flexible architecture** with user-tunable speed-quality tradeoffs at inference time
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            * **Native resolution processing** up to 512×512 with intelligent patch-based handling for larger images, avoiding upscaling and distortion
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            Find more about our vision-language model in the [LFM2-VL post](https://www.liquid.ai/blog/lfm2-vl-efficient-vision-language-models) and its language backbone in the [LFM2 blog post](https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models).
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            ## 📄 Model details
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