Granite 3.0 — Local AI Model by IBM

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

IBM's enterprise-grade model family. Granite 3.0 is Apache 2.0 licensed and rigorously trained for coding, transparency, and safety in business environments.

Hardware Requirements

Granite 3.0 8B InstructMin 6 GB VRAM · Q4_K_M · 4,096 ctx · ollama run granite3-dense

Recommended GPU

The cheapest GPU that runs Granite 3.0 locally (min 6 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
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How to Run Locally

Install Ollama then run: ollama run granite3-dense

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

Granite 3.0 — Frequently Asked Questions

How much VRAM does Granite 3.0 need?

Granite 3.0 needs about 6 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Granite 3.0 8B Instruct (6 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Granite 3.0 on an RTX 4090 (24 GB)?

Yes — Granite 3.0 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 Granite 3.0?

Q4_K_M is the best balance of quality and VRAM for Granite 3.0 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 Granite 3.0 with Ollama?

Install Ollama, then run: ollama run granite3-dense. This downloads Granite 3.0 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Granite 3.0 on My GPU?