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URL: https://willitrunai.com/models/qwen-3-14b

⇱ Qwen 3 14B VRAM Requirements — GPU Compatibility

👁 Alibaba
Alibaba

Qwen 3 14B

Frontier
👁 huggingface
HuggingFace👁 ollama
Ollama
1.0MDownloads407LikesApr 2025Released131K tokensContextApache 2.0License95 ExceptionalQuality

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.

Get started

— copy & paste to run locally

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 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

  • •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

Related models

Your hardware

Detecting...

Quick picks

Best budgetS
RX 7600 XT 16GB~$329 — 21 tok/s
👁 NVIDIA
Best overallS
RTX A4500 20GB~$2,000 — 63 tok/s

Best hardware

Top picks for Qwen 3 14B

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

Run this model

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

Quantization options

VRAM estimates by quant level

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

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

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

Frequently asked questions

FAQ — Qwen 3 14B

See also

Quantization GuideScoring MethodologyVRAM Calculator