Use Mergekit To Extract Lora Adapters From Any Fine Tuned Model
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Arcee AI editorial sitemap
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Arcee AI editorial sitemap
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Terms in this piece · Glossary
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Why it matters
Fine-tunes compress from gigabytes to megabytes, which makes them cheap to store, share and merge on the fly, and lets you draw on a library of task adapters at inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → time.
