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  The checkpoints consists of Language encoder and projector weights of multimodal LLaVA-13B model trained with our Cerebras implementation and training recipe.
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  The vision encoder checkpoints for this model can be found at [cerebras/Cerebras-ViT-L-336-patch14-llava13b-ShareGPT4V](https://huggingface.co/cerebras/Cerebras-ViT-L-336-patch14-llava13b-ShareGPT4V)
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- **Note**: _ShareGPT4V_ is added to the vision model name to ensure correct loading of checkpoints in [LLaVA source repo](https://github.com/haotian-liu/LLaVA/blob/main/llava/model/multimodal_encoder/builder.py#L8)
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  For full details of this model and training details, please read our upcoming blog post.
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  The checkpoints consists of Language encoder and projector weights of multimodal LLaVA-13B model trained with our Cerebras implementation and training recipe.
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  The vision encoder checkpoints for this model can be found at [cerebras/Cerebras-ViT-L-336-patch14-llava13b-ShareGPT4V](https://huggingface.co/cerebras/Cerebras-ViT-L-336-patch14-llava13b-ShareGPT4V)
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+ **Note**: _ShareGPT4V_ is added to the vision model name to ensure correct loading of checkpoints in [LLaVA source repository](https://github.com/haotian-liu/LLaVA/blob/main/llava/model/multimodal_encoder/builder.py#L8)
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  For full details of this model and training details, please read our upcoming blog post.
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