# Granite 4.1 8B: RAM and VRAM requirements

> Granite 4.1 8B is a 8.8B Granite model. At Q4_K_M it needs about **6.8 GB** to run and fits **33 of 40** tracked devices. Minimum to run: Nvidia GeForce RTX 3060 (12GB).

Last validated: 2026-08-03. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 5.3 GB | ~6.8 GB |
| Q8_0 | 9.3 GB | ~10.8 GB |
| FP16 | 18 GB | ~19.5 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **iPhone 17** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): Yes, it runs
- **16GB RAM Laptop (CPU/iGPU only)** (16 GB): Yes, it runs (room for Q8_0)
- **Google Pixel 10 Pro** (16 GB): Yes, it runs
- **Nvidia GeForce RTX 3090 (24GB)** (24 GB): Yes, it runs (room for FP16)
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs (room for FP16)
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs (room for FP16)

Full table of all 40 devices: https://localmodel.run/model/granite-4.1-8b

## How to run
Quickest path: `ollama run granite4.1:8b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 8.8B
- Default context: 128k tokens
- License: Apache-2.0 (commercial use: yes)
- Released: 2026-04
- HuggingFace: 4,085,575 downloads/mo, 243 likes

## FAQ
### How much VRAM or RAM does Granite 4.1 8B need?
About 6.8 GB at Q4_K_M (weights 5.3 GB + KV cache + overhead) at a 4k context. Budget ~10.8 GB for Q8_0.
### Can Granite 4.1 8B run on a laptop?
Granite 4.1 8B is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use Granite 4.1 8B commercially?
Yes, Apache-2.0 permits commercial use.

Sources: https://huggingface.co/ibm-granite/granite-4.1-8b, https://ollama.com/library/granite4.1/tags
More: https://localmodel.run/model/granite-4.1-8b