Qwen/Qwen2.5-0.5B-Instruct

In plain English

Good for a fast, on-device assistant for short replies and simple instructions. Too small for long documents or complex reasoning, and it will make things up under pressure.

A 0.5 billion parameter instruction tuned model from Qwen's smallest tier, built for devices where every megabyte and millisecond counts. It trades reasoning depth for speed and a tiny footprint.

Required documentation

Complete

Intended use

Intended for short, low-latency assistant tasks on constrained hardware such as phones or edge devices. Not intended for long-context work or tasks requiring strong reasoning.

Training data provenance

Base weights and instruction tuning data are Qwen's own general web, code, and multilingual corpora, redistributed here with quantised GGUF builds added for local inference.

Licence & terms

Apache-2.0. Free for commercial and research use with attribution retained in redistributions.

Reviews3

Write a review

MRMaya Rehanirep 4.8Prototype7ae5576

7h ago

Accuracy3.0

Fine-tune3.5

Documentation3.5

Speed4.8

TNTomasz Nowakrep 4.5Research7ae5576

7h ago

Accuracy3.2

Fine-tune3.0

Documentation3.5

Speed4.9

PSPriya Shahrep 4.6Prototype7ae5576

7h ago

Accuracy2.8

Fine-tune3.5

Documentation3.0

Speed5.0

Discussion0

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Structured rating

3.6

from 3 reviews of 7ae5576

Only 3 reviews on 7ae5576 so far. Earlier versions carry more, but they are not this build.

Accuracy3.0

Fine-tune3.3

Documentation3.3

Speed4.9

Run it now

ollama run Qwen/Qwen2.5-0.5B-Instruct

Will it fit?

Build	File	VRAM
Q4_K_M	397 MB	0.9 GB
Q8_0	531 MB	1.1 GB

Set a hardware profile in the browse sidebar to see which builds fit.

Inference providers

No hosted providers listed yet.

No cloud required. Run it with

vLLMSGLang

Model tree

Base modelQwen/Qwen2.5-0.5B

Adapters0

Finetunes0

Quantizations0

Merges0

At a glance

Parameters—

Licenceapache-2.0

Downloads7.0M

Reviews3

Docs completenessComplete