FitMyLLM
Mistral AI/Dense

Mistral AIMinistral 3 8B Reasoning

Ministral 3 8B Reasoning — Ministral 3 8B with a reasoning post-train. Same architecture and context, thinking traces by default.

chatreasoningmathmultilingual
8.92B
Parameters
256K
Context length
0
Benchmarks
6
Quantizations
21K
HF downloads
Architecture
Dense
Released
2025-12-02
Layers
34
KV Heads
8
Head Dim
128
Family
mistral

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
7.5 GB
5.9 + 1.6 KV
good
Q5_K_S5.57
8.3 GB
6.7 + 1.6 KV
good
Q5_K_M5.7
8.4 GB
6.8 + 1.6 KV
good
Q6_K6.56
9.4 GB
7.8 + 1.6 KV
excellent
Q8_08.5
11.6 GB
10.0 + 1.6 KV
lossless
FP1616
19.9 GB
18.3 + 1.6 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mistral:9b-q4_K_M

Tag may need adjustment — check ollama.com/library/mistral for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for Ministral 3 8B Reasoning

Build Hardware for Ministral 3 8B Reasoning
▸ SPEC SHEET

Ministral 3 8B Reasoning8.92B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.92B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, reasoning, math, multilingual
RELEASE DATE
2025-12-02
PROVIDER
Mistral AI
FAMILY
mistral
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.9 GB94%
Q5_K_S5.576.7 GB96%
Q5_K_M5.76.8 GB96%
Q6_K6.567.8 GB97%
Q8_08.510.0 GB100%
FP161618.3 GB100%
§ 03COMPATIBLE GPUs
30 @ Q4_K_M