MistralMistral

Mixtral 8x7B

Aktuell
889.2KDownloads4.7KLikesDec 2023Veröffentlicht33K TokenKontextApache 2.0Lizenz38 BasisQualität

Mixtral 8x7B (47B parameters) requires approximately 32.4 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 13B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 38 GB of VRAM.

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Copy-paste commands to run Mixtral 8x7B on your machine.

Run

ollama run mixtral

Quick specs

Parameters47B (13B active)
Architecturemoe (MoE)
Context33K tokens
Modalitytext
Min RAM18.3 GB
Rec. RAM28.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyMixtral
Chat Reasoning

About this model

from mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest

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Schnellauswahl

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
18.3 GB
Low
Q3_K_S
3
23.0 GB
Low
NVFP4
4
26.3 GB
Medium
Q4_K_M
4
28.7 GB
Medium
Q5_K_M
5
33.8 GB
High
Q6_K
6
38.5 GB
High
Q8_0
8
50.3 GB
Very High
F16
16
96.4 GB
Maximum

Quality benchmarks

Mixtral 8x7B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+64.0%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro54.0%
GPQA Diamond7.0%
MATH-50047.0%
ARC Challenge

General

Chatbot Arena
IFEval62.0%

Source: official · 2023-12-11

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights28.7 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Mixtral 8x7B

Siehe auch