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README.md
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However, leveraging a Large Language Model (LLM) that has learned the "protein language" significantly accelerates this process. An LLM can generate and evaluate protein sequences in a matter of seconds. The inherent randomness of LLM-generated sequences enhances diversity, enabling the creation of completely novel proteins with potentially unprecedented functions. This not only streamlines the discovery and development process but also expands the scope of possibilities in protein engineering.
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This model is based on the Llama-3-8B architecture and is capable of generating proteins based on user defined characteristics.
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## Usage
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To download and use the Protein-Llama-3 model for inference, follow these steps:
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However, leveraging a Large Language Model (LLM) that has learned the "protein language" significantly accelerates this process. An LLM can generate and evaluate protein sequences in a matter of seconds. The inherent randomness of LLM-generated sequences enhances diversity, enabling the creation of completely novel proteins with potentially unprecedented functions. This not only streamlines the discovery and development process but also expands the scope of possibilities in protein engineering.
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This model is based on the Llama-3-8B architecture and is capable of generating proteins based on user defined characteristics.
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[Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation](https://huggingface.co/papers/2411.05966)
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## Usage
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To download and use the Protein-Llama-3 model for inference, follow these steps:
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