text model · EXAONE · iOS

Can I run EXAONE 4.0 32B on iPad Pro M4 (16GB, 1TB/2TB config)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. EXAONE 4.0 32B needs ~20.2 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

Needs ~20.2 GB Device usable ~12 GB

Needs ~20.2 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 8.2 GB: EXAONE 4.0 32B needs roughly 20.2 GB at Q4_K_M and iPad Pro M4 (16GB, 1TB/2TB config) leaves only about 12 GB usable for a model. The lightest tracked hardware that runs EXAONE 4.0 32B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See EXAONE 4.0 32B on Nvidia GeForce RTX 4090 (24GB).

Q4_K_M needed: ~20.2 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

~15.6 GB

Q3_K_M

~17.8 GB

Q4_K_M

~20.2 GB

Q5_K_M

~25 GB

Q6_K

~28.4 GB

Q8_0

~33.9 GB

FP16

~66.2 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 EXAONE

Parameters: 32B
Q4_K_M size: 18.02 GB
Q8_0 size: 31.67 GB
Context: 131k

Full EXAONE 4.0 32B 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

Run EXAONE 4.0 32B on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)AMD Radeon RX 7900 XTX (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M5 (32GB)

FAQ

Can iPad Pro M4 (16GB, 1TB/2TB config) run EXAONE 4.0 32B?

No. EXAONE 4.0 32B needs ~20.2 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

How much memory does EXAONE 4.0 32B need?

iPad Pro M4 (16GB, 1TB/2TB config) does not have enough memory. At Q4_K_M the weights are ~18.02 GB; with KV cache and runtime overhead, budget ~20.2 GB at a 4k context.

What is the best tool to run EXAONE 4.0 32B 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

[![EXAONE 4.0 32B on iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/badge/exaone-4-32b/ipad-pro-m4-16gb.svg)](https://localmodel.run/can-i-run/exaone-4-32b/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.