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MatFormer is a nested Transformer architecture that allows for the extraction of smaller models from a larger trained model, enabling fine-grained control over tradeoffs in deployment constraints while maintaining accuracy. It is effective across different model classes, modalities, and scales.
https://arxiv.org/abs//2310.07707
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
MatFormer is a nested Transformer architecture that allows for the extraction of smaller models from a larger trained model, enabling fine-grained control over tradeoffs in deployment constraints while maintaining accuracy. It is effective across different model classes, modalities, and scales.
https://arxiv.org/abs//2310.07707
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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