Will It Run AI

MistralMistral

Ministral 3 3B

前沿
407.6K下载量242点赞Oct 2025发布日期262K tokens上下文Apache 2.0许可证54 良好质量

Ministral 3 3B (3B parameters) requires approximately 5.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 7 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run Ministral 3 3B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "mistralai/Ministral-3-3B-Instruct-2512" \ --hf-file "Ministral-3-3B-Instruct-2512-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters3B
Architecturemultimodal
Context262K tokens
Modalitytext+vision
Min RAM1.2 GB
Rec. RAM1.8 GB (Q4_K_M)
LicenseApache 2.0
FamilyMinistral
Vision Chat

About this model

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

  • 3.4B Language Model
  • 0.4B Vision Encoder
  • Vision: Enables the model to analyze images and provide insights based on visual content, in addition to text
  • Multilingual: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic
  • System Prompt: Maintains strong adherence and support for system prompts

相关模型

你的硬件

检测中...

快速推荐

最佳硬件

Ministral 3 3B 的最佳选择

运行此模型

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
Low
Q3_K_S
3
1.5 GB
Low
NVFP4
4
1.7 GB
Medium
Q4_K_M
4
1.8 GB
Medium
Q5_K_M
5
2.2 GB
High
Q6_K
6
2.5 GB
High
Q8_0
8
3.2 GB
Very High
F16
16
6.1 GB
Maximum

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights1.8 GB
KV Cache0.7 GB
Runtime2.4 GB
Headroom0.6 GB

常见问题

FAQ — Ministral 3 3B

另请参阅