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  # Llama-2-13b-deepspeed-visualchat
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- > [!NOTE]
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  > ATTENTION: this encoder needs QwenCLIP model
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  DeepSpeed-VisualChat is a scalable, efficient, and user-friendly multi-modal training pipeline that leverages a novel multi-modal causal attention mechanism for better alignment of visual and text features. It uses data blending techniques to address the scarcity of interleaved text-and-image inputs in datasets.
 
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  # Llama-2-13b-deepspeed-visualchat
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+ > **NOTE**
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  > ATTENTION: this encoder needs QwenCLIP model
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  DeepSpeed-VisualChat is a scalable, efficient, and user-friendly multi-modal training pipeline that leverages a novel multi-modal causal attention mechanism for better alignment of visual and text features. It uses data blending techniques to address the scarcity of interleaved text-and-image inputs in datasets.