Mistral

Mistral Small 4 119B

Name: Mistral Small 4 119B
Rating: 92 (29 reviews)
Author: Mistral

Frontera

HuggingFace

52.6KDescargas380Me gustaJan 2026Publicado256K tokensContextoMistral Research LicenseLicencia94 ExcepcionalCalidad

Mistral Small 4 119B (119B parameters) requires approximately 79.5 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 6.5B 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 92 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Mistral Small 4 119B on your machine.

Run

lms load Mistral-Small-4-119B-2603 && lms server start

Quick specs

Parameters119B (6.5B active)

Architecturemoe (MoE)

Context256K tokens

Modalitytext+vision

Min RAM46.4 GB

Rec. RAM72.6 GB (Q4_K_M)

LicenseMistral Research License

FamilyMistral Small

✓ Vision✓ Code✓ Chat✓ Reasoning

About this model

Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—Instruct, Reasoning (previously called Magistral), and Devstral—into a single, unified model.

•MoE: 128 experts, 4 active
•119B parameters: , with 6.5B activated per token
•256k context length:
•Multimodal input: Accepts both text and image input, with text output
•Instruct and Reasoning functionalities: with function calls (reasoning effort configurable per request)

Modelos relacionados

Selecciones rápidas

Mejor económicoS

Mac Studio M3 Ultra 256GB~$6,999 — 38 tok/s

Mejor en generalS

AMD Instinct MI250X 128GB~$15,000 — 109 tok/s

Mejor hardware

Mejores opciones para Mistral Small 4 119B

AMD Instinct MI250X 128GBS

128 GB

AMD Instinct MI300A 128GBS

128 GB

AMD Instinct MI250 128GBS

128 GB

Gaudi 3 128GBS

128 GB

Intel Data Center GPU Max 1550 128GBS

128 GB

Ejecutar este modelo

Mistral Small 4 119B on AMD Instinct MI250X 128GB Mistral Small 4 119B on AMD Instinct MI300A 128GB Mistral Small 4 119B on AMD Instinct MI250 128GB

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	46.4 GB	Low	—
Q3_K_S	3	58.3 GB	Low	—
NVFP4	4	66.6 GB	Medium	—
Q4_K_M	4	72.6 GB	Medium	—
Q5_K_M	5	85.7 GB	High	—
Q6_K	6	97.6 GB	High	—
Q8_0	8	127.3 GB	Very High	—
F16	16	244.0 GB	Maximum	—

Quality benchmarks

Mistral Small 4 119B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—

HumanEval+—

Aider Polyglot—

LiveCodeBench63.6%

Reasoning

MMLU-Pro78.0%

GPQA Diamond71.2%

MATH-500—

ARC Challenge—

Source: official · 2026-03-16

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights72.6 GB

KV Cache5.4 GB

Runtime0.9 GB

Headroom0.6 GB

Preguntas frecuentes

FAQ — Mistral Small 4 119B

Ver también

Guía de cuantización Metodología de puntuación Abrir calculadora