Yi 1.5 Family — Local AI Model by 01.AI

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

Written by Jakub Rusinowski · Last updated July 10, 2026

High-performance models from 01.AI. Known for strong bilingual (English/Chinese) capabilities and coding performance.

Hardware Requirements

Yi 1.5 34B Chat	Min 20 GB VRAM · Q4_K_M · 32,000 ctx · `ollama run yi:34b`
Yi 1.5 9B Chat	Min 8 GB VRAM · Q4_K_M · 32,000 ctx · `ollama run yi:9b`

Recommended GPU

The cheapest GPU that runs Yi 1.5 Family locally (min 8 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB

Launch MSRP: $219

2026 prices are volatile — check the current listing.

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How to Run Locally

Install Ollama then run: ollama run yi:34b

Minimum VRAM: 8 GB. For best results use Q4_K_M quantization.

Yi 1.5 Family — Frequently Asked Questions

How much VRAM does Yi 1.5 Family need?

Yi 1.5 Family needs about 8 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Yi 1.5 34B Chat (20 GB, Q4_K_M); Yi 1.5 9B Chat (8 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Yi 1.5 Family on an RTX 4090 (24 GB)?

Yes — Yi 1.5 Family 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 Yi 1.5 Family?

Q4_K_M is the best balance of quality and VRAM for Yi 1.5 Family 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 Yi 1.5 Family with Ollama?

Install Ollama, then run: ollama run yi:34b. This downloads Yi 1.5 Family and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.