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[QA] The Mamba in the Llama: Distilling and Accelerating Hybrid Models
The paper demonstrates distilling large Transformer models into efficient linear RNNs, achieving competitive performance in language tasks while enhancing deployment efficiency and inference speed with limited resources.
https://arxiv.org/abs//2408.15237
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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By Igor Melnyk
5
33 ratings
The paper demonstrates distilling large Transformer models into efficient linear RNNs, achieving competitive performance in language tasks while enhancing deployment efficiency and inference speed with limited resources.
https://arxiv.org/abs//2408.15237
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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