---
title: "Mistral 8x7B 32k model stats"
url: https://daily.dev/posts/mistral-8x7b-32k-model-stats-qxstnduo9
source_url: https://blog.gopenai.com/mistral-8x7b-32k-model-stats-5c9e465face1?source=rss----7adf3c3694ff---4
type: article
source: "GoPenAI"
published: 2023-12-14T12:56:54.342Z
updated: 2026-05-14T02:14:39.311Z
tags: ["llama", "llama-cpp", "llm", "local-ai", "machine-learning", "mistral-ai", "mixture-of-experts"]
reading_time: 3
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Mistral 8x7B 32k model stats

**[GoPenAI](https://daily.dev/sources/gopenai)** · 3 min read · 1 upvotes · 0 comments

## Summary

The Mistral 8x7B 32k model is a Mixture of Experts (MoE) model with 995 tensors, including token embedding, output norm, and output tensors. The model has 32 blocks of attention and ffn. During inference, two experts are used per token, resulting in a faster speed as if using a 12B model. The model has 47B parameters because the FFN layers are treated as individual experts. The model can be run on CPU if there is not enough VRAM on the GPU.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.gopenai.com/mistral-8x7b-32k-model-stats-5c9e465face1?source=rss----7adf3c3694ff---4>

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---

Tags: [#llama](https://daily.dev/tags/llama), [#llama-cpp](https://daily.dev/tags/llama-cpp), [#llm](https://daily.dev/tags/llm), [#local-ai](https://daily.dev/tags/local-ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#mistral-ai](https://daily.dev/tags/mistral-ai), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

[View this post on daily.dev](https://daily.dev/posts/mistral-8x7b-32k-model-stats-qxstnduo9)