qwen
1.5B parameters
Commercial OK
Reviewed May 2026

Qwen 2.5 1.5B Instruct

Compact Qwen 2.5. The 1.5B Apache-2.0 baseline.

License: Apache 2.0·Released Sep 19, 2024·Context: 32,768 tokens

Overview

Compact Qwen 2.5. The 1.5B Apache-2.0 baseline.

Family & lineage

How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.

Strengths

  • Apache 2.0
  • Edge friendly

Weaknesses

  • 3B class is sharper

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M1.0 GB2 GB

Get the model

HuggingFace

Original weights

huggingface.co/Qwen/Qwen2.5-1.5B-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Qwen 2.5 1.5B Instruct.

Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Step up
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Step down
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No verdicted models in the next tier down yet.

Frequently asked

What's the minimum VRAM to run Qwen 2.5 1.5B Instruct?

2GB of VRAM is enough to run Qwen 2.5 1.5B Instruct at the Q4_K_M quantization (file size 1.0 GB). Higher-quality quantizations need more.

Can I use Qwen 2.5 1.5B Instruct commercially?

Yes — Qwen 2.5 1.5B Instruct ships under the Apache 2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Qwen 2.5 1.5B Instruct?

Qwen 2.5 1.5B Instruct supports a context window of 32,768 tokens (about 33K).

Source: huggingface.co/Qwen/Qwen2.5-1.5B-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Qwen 2.5 1.5B Instruct runs on your specific hardware before committing money.