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  ## AMPLIFY
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- AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP ([UR100P](https://huggingface.co/datasets/drug-discovery/UR100P)). AMPLIFY can generate residue and protein embeddings, suggest mutations, differentiate disordered proteins from non-protein sequences, and much more. AMPLIFY is available in two sizes, 120M and 350M parameters, with the `_base` models not extended beyond 512 residues (Stage 1). The model architecture and pre-training procedure are detailed below. For more details, please refer to the [accompanying paper](https://www.biorxiv.org/content/10.1101/2024.09.23.614603v1).
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- - [`AMPLIFY_350M`](https://huggingface.co/drug-discovery/AMPLIFY_350M)
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- - [`AMPLIFY_350M_base`](https://huggingface.co/drug-discovery/AMPLIFY_350M_base)
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- - [`AMPLIFY_120M`](https://huggingface.co/drug-discovery/AMPLIFY_120M)
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- - [`AMPLIFY_120M_base`](https://huggingface.co/drug-discovery/AMPLIFY_120M_base)
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  ### Model Descritpion
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  ## AMPLIFY
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+ AMPLIFY is an efficient, state-of-the-art protein language model pre-trained using masked language modeling on UniRef100, OAS, and SCOP ([UR100P](https://huggingface.co/datasets/chandar-lab/UR100P)). AMPLIFY can generate residue and protein embeddings, suggest mutations, differentiate disordered proteins from non-protein sequences, and much more. AMPLIFY is available in two sizes, 120M and 350M parameters, with the `_base` models not extended beyond 512 residues (Stage 1). The model architecture and pre-training procedure are detailed below. For more details, please refer to the [accompanying paper](https://www.biorxiv.org/content/10.1101/2024.09.23.614603v1).
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+ - [`AMPLIFY_350M`](https://huggingface.co/chandar-lab/AMPLIFY_350M)
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+ - [`AMPLIFY_350M_base`](https://huggingface.co/chandar-lab/AMPLIFY_350M_base)
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+ - [`AMPLIFY_120M`](https://huggingface.co/chandar-lab/AMPLIFY_120M)
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+ - [`AMPLIFY_120M_base`](https://huggingface.co/chandar-lab/AMPLIFY_120M_base)
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  ### Model Descritpion
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