Aya Expanse — Local AI Model by Cohere

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

The world's best open multilingual model. Aya Expanse supports 23 languages and is specifically optimized for non-English speakers. A breakthrough for global AI accessibility — outperforms Llama 3.1 in Arabic, Chinese, Hindi, French, Spanish, Russian, and 17 more languages.

Hardware Requirements

Aya Expanse 8BMin 6 GB VRAM · Q4_K_M · 8,192 ctx · ollama run aya-expanse:8b
Aya Expanse 32BMin 20 GB VRAM · Q4_K_M · 128,000 ctx · ollama run aya-expanse:32b

Recommended GPU

The cheapest GPU that runs Aya Expanse locally (min 6 GB VRAM) is the Intel Arc B570 (10 GB).

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买,LLM Configurator 可能会获得佣金,而你无需支付任何额外费用。作为亚马逊联盟成员(Amazon Associate),LLM Configurator 会从符合条件的购买中获得收益。
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-expanse:8b

Minimum VRAM: 6 GB. For best results use Q4_K_M quantization.

Aya Expanse — Frequently Asked Questions

How much VRAM does Aya Expanse need?

Aya Expanse needs about 6 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Aya Expanse 8B (6 GB, Q4_K_M); Aya Expanse 32B (20 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Aya Expanse on an RTX 4090 (24 GB)?

Yes — Aya Expanse 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 Expanse?

Q4_K_M is the best balance of quality and VRAM for Aya Expanse 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 Expanse with Ollama?

Install Ollama, then run: ollama run aya-expanse:8b. This downloads Aya Expanse and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Aya Expanse on My GPU?