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- biology
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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-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).
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tags:
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- biology
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## Genos-10B
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This repository hosts the model weights for **Genos-10B**. For instructions and details, please refer to the [Genos GitHub](https://github.com/zhejianglab/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-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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