Aya 3B (Tiny Aya) — Local AI Model by Cohere

作者： Jakub Rusinowski · 最后更新： 2026年2月17日

Cohere 2026年2月17日发布——3B参数级别最强的多语言开源模型。Tiny Aya在23种语言的多语言基准测试中超越Qwen3-4B、Gemma 3 4B和Ministral 3B。非常适合边缘设备、手机和资源受限但需要全球语言支持的部署场景。

Licence

LicenceWhat it permitsApplies to
CC-BY-NC-4.0Research / non-commercial only
Research / non-commercial only — this licence does NOT permit shipping a commercial product.		Aya 3B

Hardware Requirements

Aya 3BMin 3 GB VRAM · Q4_K_M · 8,192 ctx · ollama run aya:3b

Recommended GPU

The cheapest GPU that runs Aya 3B (Tiny Aya) locally (min 3 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
10 GB VRAM · 150 W board power
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How to Run Locally

Install Ollama then run: ollama run aya:3b

Minimum VRAM: 3 GB. For best results use Q4_K_M quantization.

Aya 3B (Tiny Aya) — Frequently Asked Questions

How much VRAM does Aya 3B (Tiny Aya) need?

Aya 3B (Tiny Aya) needs about 3 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Aya 3B (3 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Aya 3B (Tiny Aya) on an RTX 4090 (24 GB)?

Yes — Aya 3B (Tiny Aya) runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Aya 3B (Tiny Aya)?

Q4_K_M is the best balance of quality and VRAM for Aya 3B (Tiny Aya) in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Aya 3B (Tiny Aya) with Ollama?

Install Ollama, then run: ollama run aya:3b. This downloads Aya 3B (Tiny Aya) and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Aya 3B (Tiny Aya) on My GPU?