Multi-Modal Foundation · mist-models
MIST 27.0M fine-tuned for ionic-conductivity prediction in chemical mixtures and electrolytes.
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About this model
MIST 27.0M fine-tuned for ionic-conductivity prediction in chemical mixtures and electrolytes. Served through the generic Modal runner, which pulls mist-models/mist-conductivity-27.0M-2mpg8dcd from the Hugging Face Hub and runs it as a feature-extraction pipeline. Inputs and outputs were derived from the repository's declared pipeline tag rather than written by hand — check the model card before relying on a result.
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
Sequence or text
Outputs
Mean-pooled representation, one vector per input.
