Introducing Bespoke Nimble: an open data, open model, open recipe for an open Jev.
This is a AI post classified by Jev as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.
Introducing Bespoke Nimble: an open data, open model, open recipe for an open Jev. Code and info: https://github.com/bespokelabsai/nimble Model: https://huggingface.co/bespokelabs/Bespoke-Nimble-9B Data: * A new data curation recipe called contrastive data curation. * Slightly change facts to generate negative data. This pushes the model to discriminate better and become a better decision maker. The calibration is implicit. * Didn't do ablations but I think this is a critical piece! * This also means training data doesn't need probabilities. * Data covered 10 categories, and is fully synthet
Posted by Mahesh Sathiamoorthy (16.9k followers) 1 days ago · 1k likes · 297k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: nimble, bespoke-nimble-9b.
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