Multi-Modal Foundation · IBM Research
MAMMAL embeddings bridged into a Granite LLM for zero-shot cross-modal Q&A.
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30s–5min
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About this model
BioVERSE projects bio-entity embeddings into a language model's representation space, so you can ask natural language questions about a protein or molecule and get answers grounded in the embedding rather than in the LLM's memory.
Standardized I/O contract
Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.
Inputs
Entity (sequence or SMILES)
Question
Outputs
Grounded response.
