maris205/llama-gene
A General-purpose Gene Task Large Language Model Based on Instruction Fine-tuning
This project helps biological researchers and geneticists analyze complex genomic and proteomic data. It takes in raw DNA and protein sequences, along with natural language instructions about gene tasks, and outputs classifications, structure predictions, or functional insights. The primary user would be a bioinformatics scientist or a molecular biologist working with genetic data.
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Use this if you need to perform various gene-related tasks, like classifying DNA or protein sequences, predicting structures, or understanding interactions, using a single, adaptable model.
Not ideal if your tasks exclusively involve natural language processing or require state-of-the-art performance for every specific gene task without the need for a general-purpose model.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 14, 2025
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