Alibaba/Dense

Qwen2 Math 72B

Name: Qwen2 Math 72B
Author: Alibaba

Qwen2 Math 72B — one of the best open math models available.

reasoning

72B

Parameters

Context length

Benchmarks

Quantizations

Architecture

Dense

Released

2024-08-08

Layers

KV Heads

Head Dim

128

Family

qwen

Quantization Options

Quant	Bits	VRAM	Quality
IQ2_M	2.93	26.9 GB	low
Q2_K	3.16	28.9 GB	low
IQ3_XXS	3.25	29.7 GB	low
IQ3_XS	3.5	32.0 GB	low
Q3_K_S	3.64	33.2 GB	low
IQ3_M	3.76	34.3 GB	low
Q3_K_M	4	36.5 GB	low
Q3_K_L	4.3	39.2 GB	moderate
IQ4_XS	4.46	40.6 GB	moderate
Q4_K_S	4.67	42.5 GB	moderate
Q4_K_M	4.89	44.5 GB	good
Q5_K_S	5.57	50.6 GB	good
Q5_K_M	5.7	51.8 GB	good
Q6_K	6.56	59.5 GB	excellent
Q8_0	8.5	77.0 GB	lossless
FP16	16	144.5 GB	lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN QWEN2 MATH 72B NOW

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Community Ratings

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Benchmarks (9)

IFEval86.4

BBH61.9

MBPP61.6

MATH59.8

HumanEval59.1

MMLU-PRO51.4

BigCodeBench38.5

GPQA16.7

MUSR11.7

Run this model

▸Easiest way to get started·Beginners

DOCS ↗

curl -fsSL https://ollama.com/install.sh | sh

$ollama run qwen2-math:72b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more

Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

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