FitMyLLM
Mistral AI/Dense

Mistral AIMistral-7B

chattool_useTool Use
7.2B
Parameters
32K
Context length
17
Benchmarks
6
Quantizations
2.2M
HF downloads
Architecture
Dense
Released
2023-09-27
Layers
32
KV Heads
8
Head Dim
128
Family
mistral

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.894.9 GBgood
Q5_K_S5.575.5 GBgood
Q5_K_M5.75.6 GBgood
Q6_K6.566.4 GBexcellent
Q8_08.58.1 GBlossless
FP161614.9 GBlossless

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

▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN MISTRAL-7B NOW

Rent on RunPod →Or Vast.ai →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (17)

IFEval54.7
MBPP42.1
BBH25.6
HumanEval23.8
MMLU-PRO23.1
IFBench19.9
BigCodeBench19.5
GPQA Diamond17.7
MATH-50012.1
AA Intelligence7.4
LiveCodeBench4.6
MUSR4.3
HLE4.3
MATH3.9
GPQA3.9
SciCode2.4
AIME0.0

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mistral:7.2b-instruct-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ 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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 5 GB
5 GB VRAM • 160 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA P102-100
5 GB VRAM • 440 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro P2000
5 GB VRAM • 140.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro P2200
5 GB VRAM • 200.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
AmazonNeweggeBayPCPartPicker
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
AmazonNeweggeBayPCPartPicker
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
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker

Find the best GPU for Mistral-7B

Build Hardware for Mistral-7B

Model Card

View on HuggingFace

Read the full model card for detailed information about this model.

▸ SPEC SHEET

Mistral-7B — 7.2B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.2B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, tool_use
RELEASE DATE
2023-09-27
PROVIDER
Mistral AI
FAMILY
mistral
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.9 GB94%
Q5_K_S5.575.5 GB96%
Q5_K_M5.75.6 GB96%
Q6_K6.566.4 GB97%
Q8_08.58.1 GB100%
FP161614.9 GB100%
§ 01BENCHMARK SCORES
HumanEval23.8
MMLU-PRO23.1
MATH3.9
IFEval54.7
BBH25.6
GPQA3.9
MUSR4.3
MBPP42.1
BigCodeBench19.5
GPQA Diamond17.7
LiveCodeBench4.6
MATH-50012.1
HLE4.3
AA Intelligence7.4
aa_ifbench19.9
aa_scicode2.4
AIME0.0
§ 02RUN COMMAND

Run Mistral-7B locally with Ollama — needs 4.9 GB VRAM at Q4_K_M:

$ollama run mistral:7b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA Tesla K20c
5 GB · 208 GB/s
NVIDIA Tesla K20m
5 GB · 208 GB/s
NVIDIA Tesla K20s
5 GB · 208 GB/s
NVIDIA GeForce GTX 1060 5 GB
5 GB · 160 GB/s
NVIDIA P102-100
5 GB · 440 GB/s
NVIDIA Quadro P2000
5 GB · 140.2 GB/s
NVIDIA Quadro P2200
5 GB · 200.2 GB/s
NVIDIA RTX 3050 6GB
6 GB · 168 GB/s
Intel Arc A380
6 GB · 186 GB/s
NVIDIA RTX 2060 6GB
6 GB · 336 GB/s
NVIDIA GTX 1660 SUPER
6 GB · 336 GB/s
NVIDIA GTX 1660 Ti
6 GB · 288 GB/s
NVIDIA GTX 1060 6GB
6 GB · 192 GB/s
NVIDIA Tesla C2070
6 GB · 143 GB/s
NVIDIA Tesla C2075
6 GB · 150 GB/s