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Media · 2026-09-11

AI tagging for a media library on an 8GB card

Proving out AI tagging and logging for a media archive on one of the smallest cards in the thread, then building toward a self-hosted digital asset manager.

This person uses local models for AI tagging and logging of media files, running entirely fine on an 8GB RTX 3070 Ti with Gemma 4 and an older Qwen model. After months of testing the best way to prompt and structure the process, they're now folding it into their own version of a digital asset management system — mainly as a learning exercise in building a core-plus-client/worker application, not because they expect it to ship publicly. They've since upgraded to a 16GB card but haven't bothered switching models, since the 8GB setup already did the job.

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Reported anonymously by an r/LocalLLM contributor · 2 upvotes at capture

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SETUP HISTORY

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CURRENT2026-09-11AI tagging for a media library on an 8GB card

Proving out AI tagging and logging for a media archive on one of the smallest cards in the thread, then building toward a self-hosted digital asset manager.

Media1 machineModels unspecifiedRuntime unspecified
ChangedDescriptionModels
Compare with revision 1
DescriptionPreviousThis person uses local models for AI tagging and logging of media files, running entirely fine on an 8GB RTX 3070 Ti with Gemma 4 8B and an older Qwen model. After months of testing the best way to prompt and structure the process, they're now folding it into their own version of a digital asset management system — mainly as a learning exercise in building a core-plus-client/worker application, not because they expect it to ship publicly. They've since upgraded to a 16GB card but haven't bothered switching models, since the 8GB setup already did the job.This snapshotThis person uses local models for AI tagging and logging of media files, running entirely fine on an 8GB RTX 3070 Ti with Gemma 4 and an older Qwen model. After months of testing the best way to prompt and structure the process, they're now folding it into their own version of a digital asset management system — mainly as a learning exercise in building a core-plus-client/worker application, not because they expect it to ship publicly. They've since upgraded to a 16GB card but haven't bothered switching models, since the 8GB setup already did the job.
ModelsPreviousGemma 4 8BThis snapshotNot specified

This is the currently published snapshot.

REVISION 12026-09-11AI tagging for a media library on an 8GB card

Proving out AI tagging and logging for a media archive on one of the smallest cards in the thread, then building toward a self-hosted digital asset manager.

Media1 machineGemma 4 8BRuntime unspecified

Archived published snapshot — kept for context and comparison.

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