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license: mit |
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# InstructProtein |
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InstructProtein is the first large generative language model exploring the feasibility of bidirectional generation between human and protein language. |
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It is based on OPT-1.3B architecture with two-step training approach: It initiates with pre-training on protein and natural language corpora, followed by fine-tuning with the established protein knowledge instruction dataset. |
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Through further instruction tuning, InstructProtein outperforms larger general-purpose foundation models on protein understanding and design tasks. |
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## Limitations |
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The current model, developed through instruction tuning using knowledge instruction dataset, serves as a preliminary example. |
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Despite its initial success in controlled environments, it lacks the robustness to manage complex, real-world, production-level tasks. |
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## Reference |
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For more information, please take a look at our [paper](https://arxiv.org/abs/2310.03269) and [repository](https://github.com/HICAI-ZJU/InstructProtein). |
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