FitMyLLM
Mistral AI/Dense

Mistral AIMinistral 3B

Ministral 3B — Mistral's tiniest model. Great for edge and mobile deployment.

chat
3B
Parameters
128K
Context length
8
Benchmarks
6
Quantizations
80K
HF downloads
Architecture
Dense
Released
2024-10-16
Layers
32
KV Heads
8
Head Dim
128
Family
mistral

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
3.8 GB
2.3 + 1.5 KV
good
Q5_K_S5.57
4.1 GB
2.6 + 1.5 KV
good
Q5_K_M5.7
4.1 GB
2.6 + 1.5 KV
good
Q6_K6.56
4.4 GB
2.9 + 1.5 KV
excellent
Q8_08.5
5.2 GB
3.7 + 1.5 KV
lossless
FP1616
8.0 GB
6.5 + 1.5 KV
lossless

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

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Community Ratings

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Benchmarks (8)

IFEval54.0
HumanEval44.0
GPQA Diamond35.8
MMLU-PRO29.0
LiveCodeBench24.7
AIME22.0
MATH-50022.0
HLE5.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mistral:3b-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 C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA

Find the best GPU for Ministral 3B

Build Hardware for Ministral 3B

Ministral 3B — Mistral's tiniest model. Great for edge and mobile deployment.

▸ SPEC SHEET

Ministral 3B3B Dense.

▸ SPECIFICATIONS
PARAMETERS
3B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat
RELEASE DATE
2024-10-16
PROVIDER
Mistral AI
FAMILY
mistral
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.3 GB94%
Q5_K_S5.572.6 GB96%
Q5_K_M5.72.6 GB96%
Q6_K6.562.9 GB97%
Q8_08.53.7 GB100%
FP16166.5 GB100%
§ 01BENCHMARK SCORES
HumanEval44.0
MMLU-PRO29.0
IFEval54.0
LiveCodeBench24.7
AIME22.0
MATH-50022.0
GPQA Diamond35.8
HLE5.3
§ 03COMPATIBLE GPUs
30 @ Q4_K_M