👁 Mistral
Mistral
Ministral 8B
Current
295.0KDownloads584LikesOct 2024Released131K tokensContextMistral ResearchLicense25 EntryQuality
Ministral 8B (8B parameters) requires approximately 8.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 11 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Ministral 8B on your machine.
Run
ollama run ministralQuick specs
Parameters8B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseMistral Research
FamilyMistral
✓ Chat
About this model
- •Released under the Mistral Research License, reach out to us for a commercial license
- •Trained with a 128k context window with interleaved sliding-window attention
- •Trained on a large proportion of multilingual and code data
- •Supports function calling
- •Vocabulary size of 131k, using the V3-Tekken tokenizer
Related models
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Ministral 8B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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 8B benchmark scores
Coding
SWE-bench Verified—
HumanEval+76.8%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro25.5%
GPQA Diamond4.6%
MATH-50019.6%
ARC Challenge—
General
Chatbot Arena—
IFEval59.0%
Source: official · 2024-10-16
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.9 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Ministral 8B
See also