FitMyLLM
Alibaba/Dense

AlibabaQwen3 32B

Qwen3 32B — flagship dense model with thinking mode. Near-frontier quality.

chatreasoningThinkingTool Use
32.8B
Parameters
32K
Context length
20
Benchmarks
14
Quantizations
700K
HF downloads
Architecture
Dense
Released
2025-04-28
Layers
64
KV Heads
8
Head Dim
128
Family
qwen

Quantization Options

QuantBitsVRAMQuality
IQ3_XXS3.2513.8 GBlow
IQ3_XS3.514.8 GBlow
Q3_K_S3.6415.4 GBlow
IQ3_M3.7615.9 GBlow
Q3_K_M416.9 GBlow
Q3_K_L4.318.1 GBmoderate
IQ4_XS4.4618.8 GBmoderate
Q4_K_S4.6719.6 GBmoderate
Q4_K_M4.8920.5 GBgood
Q5_K_S5.5723.3 GBgood
Q5_K_M5.723.9 GBgood
Q6_K6.5627.4 GBexcellent
Q8_08.535.3 GBlossless
FP161666.1 GBlossless

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 QWEN3 32B NOW

Rent on RunPod →Or Vast.ai →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (20)

Arena Elo1478
MATH-50096.1
MATH93.0
HumanEval92.0
IFEval85.0
MBPP77.0
AIME73.0
AA Math73.0
GPQA Diamond66.8
MMLU-PRO66.0
BBH58.3
GPQA58.0
LiveCodeBench54.6
BigCodeBench32.3
IFBench31.5
SciCode28.0
MUSR19.1
AA Intelligence16.5
AA Coding13.8
HLE8.3

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3:32b-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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPicker
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPicker
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPicker
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPicker
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPicker
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000
AMD Radeon RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 4090 D
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 5090 D V2
24 GB VRAM • 1340 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPicker
NVIDIA TITAN RTX
24 GB VRAM • 672 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA A30 PCIe
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA A30X
24 GB VRAM • 1220 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA PG506-207
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker

Find the best GPU for Qwen3 32B

Build Hardware for Qwen3 32B

Model Card

View on HuggingFace

Qwen3 32B — flagship dense model with thinking mode. Near-frontier quality.

▸ SPEC SHEET

Qwen3 32B — 32.8B Dense.

▸ SPECIFICATIONS
PARAMETERS
32.8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, reasoning
RELEASE DATE
2025-04-28
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2513.8 GB82%
IQ3_XS3.514.8 GB84%
Q3_K_S3.6415.4 GB85%
IQ3_M3.7615.9 GB86%
Q3_K_M416.9 GB88%
Q3_K_L4.318.1 GB90%
IQ4_XS4.4618.8 GB92%
Q4_K_S4.6719.6 GB93%
Q4_K_M4.8920.5 GB94%
Q5_K_S5.5723.3 GB96%
Q5_K_M5.723.9 GB96%
Q6_K6.5627.4 GB97%
Q8_08.535.3 GB100%
FP161666.1 GB100%
§ 01BENCHMARK SCORES
HumanEval92.0
MMLU-PRO66.0
MATH93.0
IFEval85.0
BBH58.3
GPQA58.0
MUSR19.1
MBPP77.0
BigCodeBench32.3
Arena Elo1478.0
GPQA Diamond66.8
LiveCodeBench54.6
AIME73.0
MATH-50096.1
HLE8.3
AA Intelligence16.5
AA Coding13.8
AA Math73.0
aa_ifbench31.5
aa_scicode28.0
§ 02RUN COMMAND

Run Qwen3 32B locally with Ollama — needs 20.5 GB VRAM at Q4_K_M:

$ollama run qwen3:32b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 4090
24 GB · 1008 GB/s
NVIDIA RTX 3090 Ti
24 GB · 1008 GB/s
NVIDIA RTX 3090
24 GB · 936 GB/s
AMD RX 7900 XTX
24 GB · 960 GB/s
Apple M4 Pro (24GB)
24 GB · 273 GB/s
NVIDIA L4 24GB
24 GB · 300 GB/s
NVIDIA A10 24GB
24 GB · 600 GB/s
Apple M2 (24GB)
24 GB · 100 GB/s
Apple M3 (24GB)
24 GB · 100 GB/s
Apple M4 (24GB)
24 GB · 120 GB/s
NVIDIA Tesla M40 24 GB
24 GB · 288 GB/s
NVIDIA Tesla P10
24 GB · 694 GB/s
NVIDIA Tesla P40
24 GB · 347 GB/s
NVIDIA Quadro RTX 6000
24 GB · 672 GB/s
NVIDIA Quadro RTX 6000 Passive
24 GB · 624 GB/s