VOOZH about

URL: https://willitrunai.com/models/qwen-3-1.7b

⇱ Qwen 3 1.7B VRAM Requirements — GPU Compatibility

👁 Alibaba
Alibaba

Qwen 3 1.7B

Frontier
👁 huggingface
HuggingFace👁 ollama
Ollama
5.8MDownloads490LikesApr 2025Released33K tokensContextApache 2.0License48 BasicQuality

Qwen 3 1.7B (1.7000000476837158B parameters) requires approximately 4.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 6 GB of VRAM.

Get started

— copy & paste to run locally

Copy-paste commands to run Qwen 3 1.7B on your machine.

Run

ollama run qwen3:1.7b

Quick specs

Parameters1.7B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.7 GB
Rec. RAM1 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ 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:

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

Related models

Your hardware

Detecting...

Quick picks

👁 Intel
Best budgetA
Intel Arc A380 6GB~$139 — 24 tok/s
👁 NVIDIA
Best overallA
RTX 2060 6GB~$349 — 24 tok/s

Best hardware

Top picks for Qwen 3 1.7B

RTX 4050 Laptop 6GBA
6 GB
RTX 2060 6GBA
6 GB
RTX 3050 8GBA
8 GB
RTX 3060 Ti 8GBA
8 GB
RTX 3070 8GBA
8 GB

Run this model

Qwen 3 1.7B on RTX 4050 Laptop 6GBQwen 3 1.7B on RTX 2060 6GBQwen 3 1.7B on RTX 3050 8GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
0.7 GB
Low—
Q3_K_S
3
0.8 GB
Low—
NVFP4
4
1.0 GB
Medium—
Q4_K_M
4
1.0 GB
Medium—
Q5_K_M
5
1.2 GB
High—
Q6_K
6
1.4 GB
High—
Q8_0
8
1.8 GB
Very High—
F16
16
3.5 GB
Maximum—

Quality benchmarks

Qwen 3 1.7B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro40.1%
GPQA Diamond—
MATH-50077.6%
ARC Challenge—

Source: community · 2025-04-27

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights1.0 GB
KV Cache1.7 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ — Qwen 3 1.7B

See also

Quantization GuideScoring MethodologyVRAM Calculator