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MistralMistral

Ministral 8B

Actual
267.3KDescargas580Me gustaOct 2024Publicado131K tokensContextoMistral ResearchLicencia25 EntradaCalidad

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.

Comenzar

— copia y pega para ejecutar en local

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

Run

ollama run ministral

Quick specs

Parameters8B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseMistral Research
FamilyMistral
Chat

About this model

We introduce two new state-of-the-art models for local intelligence, on-device computing, and at-the-edge use cases. We call them les Ministraux: Ministral 3B and Ministral 8B.

  • 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

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Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

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 8B benchmark scores

Benchmark verified

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

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights4.9 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Ministral 8B

Ver también