Model Hardware#

Model repositories can document the hardware and software assumptions used for training, evaluation, conversion, and inference. Put this information in the model card alongside the exact revision and evaluation method.

Hardware claims are contextual, not a compatibility guarantee. State batch size, precision, runtime version, and any relevant memory constraint when they materially affect a result. For hosted execution options, see Jobs, Spaces, and Inference Providers.