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AlibabaAlibaba

Qwen 3 14B

Frontera
huggingfaceHuggingFaceollamaOllama
1.9MDescargas399Me gustaApr 2025Publicado131K tokensContextoApache 2.0Licencia95 ExcepcionalCalidad

Qwen 3 14B (14B parameters) requires approximately 12.8 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 15 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Qwen 3 14B on your machine.

Run

ollama run qwen3

Quick specs

Parameters14B
Architecturedense
Context131K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat✓ Reasoning

About this model

Qwen3 es la última generación de grandes modelos de lenguaje de la serie Qwen, con una suite completa de modelos densos y MoE. Qwen3 logra avances en razonamiento, seguimiento de instrucciones, capacidades agénticas y soporte multilingüe.

  • •Uniquely support of seamless switching between thinking mode: (for complex logical reasoning, math, and coding) and non-thinking mode (for...
  • •Significantly enhancement in its reasoning capabilities: , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking...
  • •Superior human preference alignment: , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a...
  • •Expertise in agent capabilities: , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading...
  • •Support of 100+ languages and dialects: with strong capabilities for multilingual instruction following and translation

Modelos relacionados

Tu hardware

Detectando...

Selecciones rápidas

Mejor económicoS
RX 7600 XT 16GB~$329 — 21 tok/s
NVIDIA
Mejor en generalS
RTX A4500 20GB~$2,000 — 63 tok/s

Mejor hardware

Mejores opciones para Qwen 3 14B

NVIDIA
RTX A4500 20GBS
20 GB
RX 7900 XT 20GBS
20 GB
NVIDIA
RTX 4090 24GBS
24 GB
NVIDIA
NVIDIA A30 24GBS
24 GB
NVIDIA
RTX 5090 Laptop 24GBS
24 GB

Ejecutar este modelo

Qwen 3 14B on RTX A4500 20GBQwen 3 14B on RX 7900 XT 20GBQwen 3 14B on RTX 4090 24GB

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
Low—
Q3_K_S
3
6.9 GB
Low—
NVFP4
4
7.8 GB
Medium—
Q4_K_M
4
8.5 GB
Medium—
Q5_K_M
5
10.1 GB
High—
Q6_K
6
11.5 GB
High—
Q8_0
8
15.0 GB
Very High—
F16
16
28.7 GB
Maximum—

Quality benchmarks

Qwen 3 14B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro—
GPQA Diamond64.0%
MATH-50096.8%
ARC Challenge—

General

Chatbot Arena—
IFEval85.4%

Source: official · 2025-05-15

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights8.5 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Qwen 3 14B

Ver también

Guía de cuantizaciónMetodología de puntuaciónAbrir calculadora