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Local Models: Models that users download outside the app and then import manually as a local model.
Preset Models: A predefined list of models provided by the app, which can be downloaded directly.
HF Models: Models that are downloaded via the Hugging Face search and download page.
Context
To reduce the complexity of managing these different types, the idea is to unifying the structure of preset models with the HF model format. This would minimize the variation in model handling and simplify maintenance.
Benchmarking models on the "Benchmark" page currently only allows sharing results for HF-type models. Unifying the preset model structure with HF models would enable sharing benchmarking results for these models as well.
The text was updated successfully, but these errors were encountered:
Issue description
We currently manage three types of models:
Context
To reduce the complexity of managing these different types, the idea is to unifying the structure of preset models with the HF model format. This would minimize the variation in model handling and simplify maintenance.
Benchmarking models on the "Benchmark" page currently only allows sharing results for HF-type models. Unifying the preset model structure with HF models would enable sharing benchmarking results for these models as well.
The text was updated successfully, but these errors were encountered: