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URL: https://willitrunai.com/models/qwen-3-0.6b

โ‡ฑ Qwen 3 0.6B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ Alibaba
Alibaba

Qwen 3 0.6B

Frontier
๐Ÿ‘ huggingface
HuggingFace๐Ÿ‘ ollama
Ollama
27.7MDownloads1.4KLikesApr 2025Released33K tokensContextApache 2.0License18 EntryQuality

Qwen 3 0.6B (0.6000000238418579B parameters) requires approximately 4.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 5 GB of VRAM.

Get started

โ€” copy & paste to run locally

Copy-paste commands to run Qwen 3 0.6B on your machine.

Run

ollama run qwen3:0.6b

Quick specs

Parameters0.6B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.2 GB
Rec. RAM0.4 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
โœ“ Chat

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 budgetC
Intel Arc A380 6GB~$139 โ€” 8 tok/s
๐Ÿ‘ NVIDIA
Best overallB
RTX 2060 6GB~$349 โ€” 8 tok/s

Best hardware

Top picks for Qwen 3 0.6B

RTX 2060 6GBB
6 GB
RTX 4050 Laptop 6GBB
6 GB
GTX 1060 6GBB
6 GB
GTX 1650 4GBB
4 GB
GTX 1660 Super 6GBB
6 GB

Run this model

Qwen 3 0.6B on RTX 2060 6GBQwen 3 0.6B on RTX 4050 Laptop 6GBQwen 3 0.6B on GTX 1060 6GB

Quantization options

VRAM estimates by quant level

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

QuantBitsVRAMQualityFit
Q2_K
2
0.2 GB
Lowโ€”
Q3_K_S
3
0.3 GB
Lowโ€”
NVFP4
4
0.3 GB
Mediumโ€”
Q4_K_M
4
0.4 GB
Mediumโ€”
Q5_K_M
5
0.4 GB
Highโ€”
Q6_K
6
0.5 GB
Highโ€”
Q8_0
8
0.6 GB
Very Highโ€”
F16
16
1.2 GB
Maximumโ€”

Quality benchmarks

Qwen 3 0.6B benchmark scores

Benchmark verified

Reasoning

MMLU-Proโ€”
GPQA Diamondโ€”
MATH-50077.6%
ARC Challengeโ€”

Source: community ยท 2025-04-27

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights0.4 GB
KV Cache0.9 GB
Runtime2.4 GB
Headroom0.6 GB

Frequently asked questions

FAQ โ€” Qwen 3 0.6B

See also

Quantization GuideScoring MethodologyVRAM Calculator