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README.md

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 ## Model Summary
-**MAMMAL (Molecular Aliened Multi-Modal Architect Language)**, a versatile multi-task foundation model that learns from large-scale
-biological datasets (over 2 billion samples) across diverse modalities, including
-proteins, small molecules, and genes. We introduce a query syntax that supports
-a wide range of tasks such as classification, regression, and generation—by combining different modalities and entity types as inputs and/or outputs.
 
 - **Developers:** IBM Research
 - **GitHub Repository:** [TBD](TBD)