IBM Granite 4.1 — Local AI Model by IBM

Written by Jakub Rusinowski · Last updated June 15, 2026

IBM's April 29, 2026 release. The 3B and 8B tiers are dense transformers; the 30B tier pivots back to a hybrid Mamba-Transformer (interleaved SSM + attention) design rather than 4.0's MoE. Apache 2.0 licensed, ISO 42001 certified, 128K context (extendable to 512K). All three sizes have official Ollama tags, spanning budget edge hardware to mid-range 24GB GPUs.

Hardware Requirements

Granite 4.1 3BMin 3 GB VRAM · Q4_K_M · 128,000 ctx · ollama run granite4.1:3b
Granite 4.1 8BMin 5 GB VRAM · Q4_K_M · 128,000 ctx · ollama run granite4.1:8b
Granite 4.1 30BMin 18 GB VRAM · FP8 (Q4 est. ~12-15GB, unconfirmed) · 128,000 ctx · ollama run granite4.1:30b

How to Run Locally

Install Ollama then run: ollama run granite4.1:3b

Minimum VRAM: 3 GB. For best results use Q4_K_M quantization.

IBM Granite 4.1 — Frequently Asked Questions

How much VRAM does IBM Granite 4.1 need?

IBM Granite 4.1 needs about 3 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Granite 4.1 3B (3 GB, Q4_K_M); Granite 4.1 8B (5 GB, Q4_K_M); Granite 4.1 30B (18 GB, FP8 (Q4 est. ~12-15GB, unconfirmed)). On Apple Silicon, unified memory counts toward this requirement.

Can I run IBM Granite 4.1 on an RTX 4090 (24 GB)?

Yes — IBM Granite 4.1 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 IBM Granite 4.1?

Q4_K_M is the best balance of quality and VRAM for IBM Granite 4.1 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 IBM Granite 4.1 with Ollama?

Install Ollama, then run: ollama run granite4.1:3b. This downloads IBM Granite 4.1 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run IBM Granite 4.1 on My GPU?