text model · Llama 4 · iOS

Can I run Llama 4 Maverick on iPad Pro M4 (16GB, 1TB/2TB config)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Llama 4 Maverick needs ~231.7 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

Needs ~231.7 GB Device usable ~12 GB

Needs ~231.7 GB even at Q4_K_M, but only ~12 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 219.7 GB: Llama 4 Maverick needs roughly 231.7 GB at Q4_K_M and iPad Pro M4 (16GB, 1TB/2TB config) leaves only about 12 GB usable for a model. No single tracked device has enough memory; Llama 4 Maverick needs a multi-GPU or high-memory rig.

Q4_K_M needed: ~231.7 GB
Usable on device: ~12 GB
Device memory: 16 GB

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Which quant fits

Quant ladder vs ~12 GB usable

Q2_K

~173.1 GB

Q3_K_M

~201.1 GB

Q4_K_M

~231.7 GB

Q5_K_M

~290.6 GB

Q6_K

~333.6 GB

Q8_0

~402.2 GB

FP16

~806.6 GB

The line marks iPad Pro M4 (16GB, 1TB/2TB config)'s ~12 GB budget; rungs past it are too large.

How to run it

On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.).

Model Llama 4

Parameters: 400B (MoE, 17B active)
Q4_K_M size: 226.09 GB
Q8_0 size: 396.57 GB
Context: 1000k
Ollama tag: llama4:128x17b

Full Llama 4 Maverick requirements →

Device iOS

Memory: 16 GB unified
Usable for weights: ~12 GB
Power draw: ~14 W
Best runtime: MLX (via Python or Swift; mlx-lm package)

Best models for iPad Pro M4 (16GB, 1TB/2TB config) →

What you can run instead

FAQ

Can iPad Pro M4 (16GB, 1TB/2TB config) run Llama 4 Maverick?

No. Llama 4 Maverick needs ~231.7 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

How much memory does Llama 4 Maverick need?

iPad Pro M4 (16GB, 1TB/2TB config) does not have enough memory. At Q4_K_M the weights are ~226.09 GB; with KV cache and runtime overhead, budget ~231.7 GB at a 4k context. It is a Mixture-of-Experts model (400B total / 17B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Llama 4 Maverick on iOS?

On iPhone and iPad, Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.) is the standard choice. Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.

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Markdown

[![Llama 4 Maverick on iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/badge/llama-4-maverick/ipad-pro-m4-16gb.svg)](https://localmodel.run/can-i-run/llama-4-maverick/ipad-pro-m4-16gb)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.