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[QA] Jamba-1.5: Hybrid Transformer-Mamba Models at Scale
Manage episode 435747830 series 3524393
Jamba-1.5 introduces instruction-tuned large language models with high throughput, low memory usage, and extensive context length, outperforming competitors while being publicly available under an open model license.
https://arxiv.org/abs//2408.12570
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
1633 episódios
Manage episode 435747830 series 3524393
Jamba-1.5 introduces instruction-tuned large language models with high throughput, low memory usage, and extensive context length, outperforming competitors while being publicly available under an open model license.
https://arxiv.org/abs//2408.12570
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
1633 episódios
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