Alibaba
Qwen 3 14B
前沿
1.9M下载量399点赞Apr 2025发布日期131K tokens上下文Apache 2.0许可证95 卓越质量
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.
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— 复制粘贴即可本地运行Copy-paste commands to run Qwen 3 14B on your machine.
Run
ollama run qwen3Quick 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
- •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
相关模型
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最佳硬件
Qwen 3 14B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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
Reasoning
MMLU-Pro—
GPQA Diamond64.0%
MATH-50096.8%
ARC Challenge—
General
Chatbot Arena—
IFEval85.4%
Source: official · 2025-05-15
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights8.5 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3 14B
另请参阅