Alibaba

Qwen 3 1.7B

Name: Qwen 3 1.7B
Author: Alibaba

Frontier

HuggingFace

Ollama

7.0MDownloads428LikesApr 2025Released33K tokensContextApache 2.0License1 EntryQuality

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Ollama

ollama run qwen-3-1.7b

HuggingFace

huggingface-cli download qwen-3-1.7b

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

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Best hardware

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RTX 3050 Ti Laptop 4GBB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
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	—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights1.0 GB

KV Cache0.8 GB

Runtime0.9 GB

Headroom2.4 GB

Quant

Bits

VRAM

Quality

Fit

Q2_K

0.7 GB

Low

—

Q3_K_S

0.8 GB

Low

—

NVFP4

1.0 GB

Medium

—

Q4_K_M

1.0 GB

Medium

—

Q5_K_M

1.2 GB

High

—

Q6_K

1.4 GB

High

—

Q8_0

1.8 GB

Very High

—

F16

3.5 GB

Maximum

—