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+ ---
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+ license: apache-2.0
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+ tags:
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+ - biology
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+ ---
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+ ## Genos
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+ The Genos collection of models are foundation models for the human genome, achieving million-base-pair context modeling and single-nucleotide resolution learning capability for the human genome sequence. Genos adheres to the open science principles of collaboration, sharing, and co-construction, with a strong commitment to supporting the global genomics research community. To this end, we have openly released three models:
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+ - [Genos-1.2B](https://huggingface.co/ZhejiangLab/Genos-1.2B): a 1.2 billion parameter model designed for high-efficiency genome sequence analysis.
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+ - [Genos-10B](https://huggingface.co/ZhejiangLab/Genos-10B): a larger model with 10 billion parameters, offering enhanced performance for complex genomic tasks.
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+ - [Genos-10B-v2](https://huggingface.co/ZhejiangLab/Genos-10B-v2): an enhanced version trained with additional human and non-human genomes to expand evolutionary context and sequence diversity.
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+ We also provide checkpoints trained under the Megatron-LM framework:
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+ - [Genos-Megatron-1.2B](https://huggingface.co/ZhejiangLab/Genos-Megatron-1.2B)
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+ - [Genos-Megatron-10B](https://huggingface.co/ZhejiangLab/Genos-Megatron-10B)
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+ - [Genos-Megatron-10B-v2](https://huggingface.co/ZhejiangLab/Genos-Megatron-10B-v2)
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+ For instructions, details, and examples, please refer to the [Genos GitHub](https://github.com/zhejianglab/Genos).