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[QA] The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Manage episode 436583704 series 3524393
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 tập
Manage episode 436583704 series 3524393
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1649 tập
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