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Isolate model caches by storage backend and configuration

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Andras Schmelczer 2026-10-27 16:55:04 +00:00
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docs/how-to-guides/large-file.md
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@ -70,6 +70,11 @@ Often, especially when working with data-heavy applications, large files can pro
## From the command-line
Remote cache filenames now include a storage-specific namespace. Existing local
model stores remain readable, while remote models cached by older releases are
downloaded again into the new namespace. Configure the same bucket or database
when preparing and later using an offline remote cache.
The main reason for using the `large-file` or `python3 -m great_ai.large_file` commands is to upload or download models from the terminal. For example, when building a docker image, it is best practice to cache the referred models.
### Setup