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

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月10日

Cohere's February 17, 2026 release — the most capable multilingual open-weight model at the 3B parameter class. Tiny Aya outperforms Qwen3-4B, Gemma 3 4B, and Ministral 3B on multilingual benchmarks across 23 languages. Perfect for edge devices, phones, and resource-constrained deployments where global language support is critical.

Hardware Requirements

Aya 3B Min 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

首发建议零售价：$219

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

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.