---
title: mixtral
canonical_url: "https://www.modelscope.cn/models/cortexso/mixtral"
md_url: "https://www.modelscope.cn/models/cortexso/mixtral.md"
repository: cortexso/mixtral
last_updated: 2025-08-29
license: apache-2.0
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
downloads: 106
stars: 0
tags:
  - gguf
---

# mixtral

> mixtral - cortexso 在 ModelScope 开源的模型。The Mixtral-7x8B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-7x8Boutperforms Llama 2 70B on most benchmarks we tested.

cortexso/mixtral 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: cortexso/mixtral
- **License**: apache-2.0
- **Tags**: gguf
- **Downloads**: 106
- **Stars**: 0
- **Last updated**: 2025-08-29

Source: https://www.modelscope.cn/models/cortexso/mixtral

---

## Overview

The Mixtral-7x8B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-7x8Boutperforms Llama 2 70B on most benchmarks we tested.

## Variants

| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [7x8b-gguf](https://huggingface.co/cortexhub/mixtral/tree/7x8b-gguf) | `cortex run mixtral:7x8b-gguf` |

## Use it with Jan (UI)

1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
    ```
    cortexhub/mixtral
    ```

## Use it with Cortex (CLI)

1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
    ```
    cortex run mixtral
    ```

## Credits

- **Author:** Mistralai
- **Converter:** [Homebrew](https://www.homebrew.ltd/)