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URL: https://willitrunai.com/models/qwen-3-8b

โ‡ฑ Qwen 3 8B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ Alibaba
Alibaba

Qwen 3 8B

Frontier
๐Ÿ‘ huggingface
HuggingFace๐Ÿ‘ ollama
Ollama
8.6MDownloads1.1KLikesApr 2025Released131K tokensContextApache 2.0License93 ExceptionalQuality

Qwen 3 8B (8B parameters) requires approximately 8.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 11 GB of VRAM.

Get started

โ€” copy & paste to run locally

Copy-paste commands to run Qwen 3 8B on your machine.

Run

ollama run qwen3:8b

Quick specs

Parameters8B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
โœ“ Chatโœ“ 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:

  • โ€ขUniquely support of seamless switching between thinking mode: (for complex logical reasoning, math, and coding) and non-thinking mode (for...
  • โ€ขSignificantly enhancement in its reasoning capabilities: , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking...
  • โ€ขSuperior human preference alignment: , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a...
  • โ€ขExpertise in agent capabilities: , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading...
  • โ€ขSupport of 100+ languages and dialects: with strong capabilities for multilingual instruction following and translation

Related models

Your hardware

Detecting...

Quick picks

๐Ÿ‘ Intel
Best budgetS
Intel Arc B570 10GB~$219 โ€” 45 tok/s
๐Ÿ‘ NVIDIA
Best overallS
RTX 3080 Ti 12GB~$1,199 โ€” 112 tok/s

Best hardware

Top picks for Qwen 3 8B

RTX 3080 Ti 12GBS
12 GB
RTX 5070 12GBS
12 GB
RTX 3080 12GBS
12 GB
RTX 4070 Super 12GBS
12 GB
RTX 4070 12GBS
12 GB

Run this model

Qwen 3 8B on RTX 3080 Ti 12GBQwen 3 8B on RTX 5070 12GBQwen 3 8B on RTX 3080 12GB

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
Lowโ€”
Q3_K_S
3
3.9 GB
Lowโ€”
NVFP4
4
4.5 GB
Mediumโ€”
Q4_K_M
4
4.9 GB
Mediumโ€”
Q5_K_M
5
5.8 GB
Highโ€”
Q6_K
6
6.6 GB
Highโ€”
Q8_0
8
8.6 GB
Very Highโ€”
F16
16
16.4 GB
Maximumโ€”

Quality benchmarks

Qwen 3 8B benchmark scores

Benchmark verified

Reasoning

MMLU-Proโ€”
GPQA Diamond62.0%
MATH-50097.4%
ARC Challengeโ€”

General

Chatbot Arenaโ€”
IFEval85.0%

Source: official ยท 2025-05-15

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights4.9 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ โ€” Qwen 3 8B

See also

Quantization GuideScoring MethodologyVRAM Calculator