Qwen 2.5 32B

Current

👁 huggingface
HuggingFace 👁 ollama
Ollama

2.5MDownloads352LikesSep 2024Released131K tokensContextApache 2.0License79 StrongQuality

Qwen 2.5 32B (32B parameters) requires approximately 25.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.

Get started

— copy & paste to run locally

Copy-paste commands to run Qwen 2.5 32B on your machine.

Run

ollama run qwen2.5

Quick specs

Parameters32B

Architecturedense

Context131K tokens

Modalitytext

Min RAM12.5 GB

Rec. RAM19.5 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen

✓ Code✓ 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

Mac mini M4 64GB~$1,099 — 9 tok/s

👁 NVIDIA

Best overallS

NVIDIA A100 40GB~$10,000 — 72 tok/s

Best hardware

Top picks for Qwen 2.5 32B

👁 NVIDIA

NVIDIA A100 40GBS

40 GB

👁 NVIDIA

RTX PRO 5000 Blackwell 48GBS

48 GB

MacBook Pro M4 Max 64GBS

64 GB

👁 NVIDIA

RTX 5090 32GBS

32 GB

👁 NVIDIA

RTX 6000 Ada 48GBS

48 GB

Run this model

Qwen 2.5 32B on NVIDIA A100 40GB Qwen 2.5 32B on RTX PRO 5000 Blackwell 48GB Qwen 2.5 32B on MacBook Pro M4 Max 64GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	—
Q3_K_S	3	15.7 GB	Low	—
NVFP4	4	17.9 GB	Medium	—
Q4_K_M	4	19.5 GB	Medium	—
Q5_K_M	5	23.0 GB	High	—
Q6_K	6	26.2 GB	High	—
Q8_0	8	34.2 GB	Very High	—
F16	16	65.6 GB	Maximum	—

Quality benchmarks

Qwen 2.5 32B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—

HumanEval+88.4%

Aider Polyglot—

LiveCodeBench51.2%

Reasoning

MMLU-Pro69.0%

GPQA Diamond49.5%

MATH-50083.1%

ARC Challenge—

General

Chatbot Arena—

IFEval79.5%

Source: official · 2024-09-19

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights19.5 GB

KV Cache3.9 GB

Runtime1.2 GB

Headroom0.6 GB

Frequently asked questions

URL: https://willitrunai.com/models/qwen-2.5-32b

⇱ Qwen 2.5 32B VRAM Requirements — GPU Compatibility

Qwen 2.5 32B

Top picks for Qwen 2.5 32B

VRAM estimates by quant level

Qwen 2.5 32B benchmark scores

Fit estimates across all hardware

Reference: RTX 2060 6GB

FAQ — Qwen 2.5 32B