Checked fact 7207 Oct 2026Research

The Mixtral paper says the memory costs for serving Mixtral are proportional to its sparse parameter count, 47B. Quote: "The memory costs for serving Mixtral are proportional to its sparse parameter count, 47B"

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The memory costs for serving Mixtral are proportional to its sparse parameter count, 47B, which is still smaller than Llama 2 70B.

What the source said when we opened it, on 7 Oct 2026.

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Mixtral of Experts
arXiv · 2024-01-08

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Checked by the notis newsroom on 7 Oct 2026, against the source above.

In the story

How a mixture-of-experts model activates only part of its parameters 7 Oct 2026

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“The Mixtral paper says the memory costs for serving Mixtral are proportional to its sparse parameter count, 47B. Quote: "The memory costs for serving Mixtral are proportional to its sparse parameter count, 47B".” ai notis, checked 7 Oct 2026. Source: Mixtral of Experts (arXiv). https://ainotis.com/c/720

As a reference (APA style)

ai notis. (2026, October 7). The Mixtral paper says the memory costs for serving Mixtral are proportional to its sparse parameter count, 47B. Quote: "The memory costs for serving Mixtral are proportional to its sparse parameter count, 47B" [Checked claim 720]. ai notis. https://ainotis.com/c/720

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