Qwen 2.5 14B

Current

👁 huggingface
HuggingFace 👁 ollama
Ollama

2.2MDownloads351LikesSep 2024Released131K tokensContextApache 2.0License73 StrongQuality

Qwen 2.5 14B (14B parameters) requires approximately 13.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.

Get started

— copy & paste to run locally

Copy-paste commands to run Qwen 2.5 14B on your machine.

Run

ollama run qwen2.5

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

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

•Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models...
•Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g,...
•Long-context Support: up to 128K tokens and can generate up to 8K tokens
•Multilingual support: for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean,...

Related models

Your hardware

Detecting...

Quick picks

Best budgetA

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 2.5 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

Run this model

Qwen 2.5 14B on RTX A4500 20GB Qwen 2.5 14B on RX 7900 XT 20GB Qwen 2.5 14B on RTX 4090 24GB

Quantization options

VRAM estimates by quant level

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 2.5 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—

HumanEval+83.5%

Aider Polyglot—

LiveCodeBench42.6%

Reasoning

MMLU-Pro63.7%

GPQA Diamond45.5%

MATH-50080.0%

ARC Challenge—

General

Chatbot Arena—

IFEval81.0%

Source: official · 2024-09-19

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights8.5 GB

KV Cache2.9 GB

Runtime1.2 GB

Headroom0.6 GB

Frequently asked questions

URL: https://willitrunai.com/models/qwen-2.5-14b

⇱ Qwen 2.5 14B VRAM Requirements — GPU Compatibility

Qwen 2.5 14B

Top picks for Qwen 2.5 14B

VRAM estimates by quant level

Qwen 2.5 14B benchmark scores

Fit estimates across all hardware

Reference: RTX 2060 6GB

FAQ — Qwen 2.5 14B