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Mistral 7B is a language model with 7 billion parameters that outperforms other models in various benchmarks. It uses grouped-query attention and sliding window attention for faster and more efficient inference. There is also a fine-tuned version for following instructions. The models are available under the Apache 2.0 license.
https://arxiv.org/abs//2310.06825
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
Mistral 7B is a language model with 7 billion parameters that outperforms other models in various benchmarks. It uses grouped-query attention and sliding window attention for faster and more efficient inference. There is also a fine-tuned version for following instructions. The models are available under the Apache 2.0 license.
https://arxiv.org/abs//2310.06825
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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