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license: mit
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# InstructProtein

InstructProtein is the first large generative language model exploring the feasibility of bidirectional generation between human and protein language.
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.
Through further instruction tuning, InstructProtein outperforms larger general-purpose foundation models on protein understanding and design tasks.

## Limitations

The current model, developed through instruction tuning using knowledge instruction dataset, serves as a preliminary example.
Despite its initial success in controlled environments, it lacks the robustness to manage complex, real-world, production-level tasks.

## Reference

For more information, please take a look at our [paper](https://arxiv.org/abs/2310.03269) and [repository](https://github.com/HICAI-ZJU/InstructProtein).