MistralMistral

Ministral 3 8B

最先端
187.1Kダウンロード172いいねOct 2025公開日262K トークンコンテキストApache 2.0ライセンス72 優秀品質

Ministral 3 8B (8B parameters) requires approximately 10.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 12 GB of VRAM.

はじめに

— コピー&ペーストでローカル実行

Copy-paste commands to run Ministral 3 8B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "mistralai/Ministral-3-8B-Instruct-2512" \ --hf-file "Ministral-3-8B-Instruct-2512-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters8B
Architecturemultimodal
Context262K tokens
Modalitytext+vision
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyMinistral
Vision Chat

About this model

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

  • 8.4B 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

関連モデル

あなたのハードウェア

検出中...

おすすめ

最適なハードウェア

Ministral 3 8Bのおすすめ

このモデルを実行

量子化オプション

量子化レベル別VRAM推定値

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
Low
Q3_K_S
3
3.9 GB
Low
NVFP4
4
4.5 GB
Medium
Q4_K_M
4
4.9 GB
Medium
Q5_K_M
5
5.8 GB
High
Q6_K
6
6.6 GB
High
Q8_0
8
8.6 GB
Very High
F16
16
16.4 GB
Maximum

Quality benchmarks

Ministral 3 8B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro
GPQA Diamond39.9%
MATH-500
ARC Challenge88.0%

Source: official · 2025-12-01

ハードウェア互換性

全ハードウェアの適合度推定

カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

Weights4.9 GB
KV Cache2.2 GB
Runtime2.4 GB
Headroom0.6 GB

よくある質問

FAQ — Ministral 3 8B

関連項目