Qwen 3 14B

Apache 2.0

Alibaba · 14B · Densa

Strong all-rounder with thinking mode Comprueba si tu GPU o Mac puede ejecutar Qwen 3 14B localmente — 7.8 GB mínimo, 13 GB recomendado.

2025-04128K contexto

Opciones de cuantización

CuantBitsVRAMCalidadEstado
Q2_K25 GBlow
Q3_K_M36.8 GBmoderate
Q4_K_M47.7 GBgood
Q5_K_M59.5 GBgood
Q6_K611.3 GBexcellent
Q8_0814.8 GBexcellent
F161629.2 GBlossless

Sobre este modelo

Qwen 3 logo

Qwen 3 is the latest generation of large language models in Qwen series, with newly updated versions of the 30B and 235B models:

New 30B model

ollama run qwen3:30b

Qwen3-30B-A3B-Instruct-2507.jpg

New 235B model

ollama run qwen3:235b

0d7zztq4GB7G2ZYowO-dQ.jpg

Overview

The Qwen 3 family is a comprehensive suite of dense and mixture-of-experts (MoE) models. The flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.5-72B-Instruct.

  • Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.

  • Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.

  • Expertise in agent capabilities, enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.

  • Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation.

Reference

¿Puedo ejecutar Qwen 3 14B localmente?

¿Puedo ejecutar Qwen 3 14B localmente?
Qwen 3 14B necesita alrededor de 7.8 GB de memoria como mínimo y 13 GB recomendados. Abre esta página para evaluarlo con tu GPU o Mac, y luego ejecútalo con runai, Ollama o LM Studio.
¿Cuánta VRAM necesita Qwen 3 14B?
En Q4_K_M, Qwen 3 14B usa aproximadamente 7.7 GB de VRAM. Cuantizaciones más altas necesitan más memoria; las más bajas caben en tarjetas más ajustadas con una pérdida de calidad.