Granite 3.0 — local AI model by IBM

Written by Jakub Rusinowski · Last updated

Superseded model. Granite 3.0 has been superseded by IBM Granite 4.0. This page is kept for reference; the newer family is a better starting point. View IBM Granite 4.0 →

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.

Variants

The smallest Granite 3.0 variant needs about 6 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
Granite 3.0 8B Instruct →
8B
~5.6 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run Granite 3.0 locally

Install Ollama, then pull the tag.

ollama run granite3-dense

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

Apache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Applies to: Granite 3.0 8B Instruct

Recommended GPU

The cheapest catalogued 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
10 GB VRAM · 150 W board power
2026 prices are volatile — check the current listing.

Can I run Granite 3.0 on my GPU?

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.