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Mixtral 8x7B is a Sparse Mixture of Experts (SMoE) language model that outperforms other models on various benchmarks, including mathematics, code generation, and multilingual tasks. It also introduces Mixtral 8x7B - Instruct, a model that surpasses several other models on human benchmarks. Both models are available under the Apache 2.0 license.
https://arxiv.org/abs//2401.04088
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
Mixtral 8x7B is a Sparse Mixture of Experts (SMoE) language model that outperforms other models on various benchmarks, including mathematics, code generation, and multilingual tasks. It also introduces Mixtral 8x7B - Instruct, a model that surpasses several other models on human benchmarks. Both models are available under the Apache 2.0 license.
https://arxiv.org/abs//2401.04088
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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