Literature · opig
GPT-NeoX-based generative language model for antibody sequence design, trained on the Observed Antibody Space to generate diverse immunoglobulin heavy and light chains.
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About this model
GPT-NeoX-based generative language model for antibody sequence design, trained on the Observed Antibody Space to generate diverse immunoglobulin heavy and light chains. Served through the generic Modal runner, which pulls opig/p-IgGen from the Hugging Face Hub and runs it as a text-generation 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
Prompt
Outputs
The model's completion.
