Ministral-3-14B-Instruct-2512-BF16

mistralai/Ministral-3-14B-Instruct-2512-BF16

PublisherMistral AIVerified

Download access requirementsMirror available

Ministral 3 14B Instruct 2512 BF16 Ministral 3 14B是Ministral 3系列中最大的模型，具有视觉理解能力，适用于聊天和指令跟随任务。该模型经过指令微调，适合部署于需要高级AI能力但硬件受限的边缘环境。视觉理解：能够分析图像并基于视觉内容提供洞察

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Model details

模型介绍

中文整理

Ministral 3 14B Instruct 2512 BF16

Model use case

Ministral 3 14B是Ministral 3系列中最大的模型，具有视觉理解能力，适用于聊天和指令跟随任务。该模型经过指令微调，适合部署于需要高级AI能力但硬件受限的边缘环境。

主要能力

视觉理解：能够分析图像并基于视觉内容提供洞察

多语言支持：支持英语、法语、西班牙语、德语、意大利语、葡萄牙语、荷兰语、中文、日语、韩语、阿拉伯语等数十种语言

系统提示支持：对系统提示具有强支持能力

代理能力：提供原生函数调用和JSON输出功能

大规模上下文：支持256k上下文窗口

输入输出

输入：文本和图像

输出：文本响应

运行要求

BF16精度：需要约32GB VRAM

量化版本：少于24GB RAM/VRAM

硬件兼容性：专为边缘设备设计，支持广泛硬件部署

基本用法

适用于以下场景：

受限环境下的私人聊天和AI助手部署

高级本地代理用例

模型微调和专业化

License

Apache 2.0许可证

允许商业和非商业用途的使用及修改

使用限制

不得以侵犯、挪用或违反第三方权利（包括知识产权）的方式使用本模型。

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

Ministral-3-14B-Instruct-2512-BF16 model download

Download the full repository or choose a version or file.

Download tools · More than GGUF

Use the Hugging Face download tool to obtain mistralai/Ministral-3-14B-Instruct-2512-BF16. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: 3cea74c1ebaf5ce5f5a2553de470e2ceab825142. Downloads files only; does not start the model.

Choose a download source

已根据访问地区推荐 Hugging Face 官方线路，你可以手动切换。

Choose what to download

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Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

$env:HF_ENDPOINT = "https://huggingface.co"
$env:HF_HUB_DISABLE_IMPLICIT_TOKEN = "1"
$env:HF_HUB_DISABLE_XET = "1"
hf download "mistralai/Ministral-3-14B-Instruct-2512-BF16" --revision "3cea74c1ebaf5ce5f5a2553de470e2ceab825142" --local-dir "./models/mistralai--Ministral-3-14B-Instruct-2512-BF16"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.