text model · DeepSeek-V4 · iOS

Can I run DeepSeek-V4-Flash on iPad Pro M4 (16GB, 1TB/2TB config)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. DeepSeek-V4-Flash needs ~179.7 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

Needs ~179.7 GB Device usable ~12 GB

Needs ~179.7 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 167.7 GB: DeepSeek-V4-Flash needs roughly 179.7 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 DeepSeek-V4-Flash is the Apple M3 Ultra (256GB) at 256 GB. See DeepSeek-V4-Flash on Apple M3 Ultra (256GB).

Q4_K_M needed: ~179.7 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

~123.7 GB

Q3_K_M

~143.6 GB

Q4_K_M

~179.7 GB

Q5_K_M

~207.2 GB

Q6_K

~237.7 GB

Q8_0

~307.1 GB

FP16

~572.8 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 DeepSeek-V4

Parameters: 284B (MoE, 13B active)
Q4_K_M size: 174.87 GB
Q8_0 size: 302.27 GB
Context: 1000k

Full DeepSeek-V4-Flash 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 DeepSeek-V4-Flash on other hardware

Apple M3 Ultra (256GB)

FAQ

Can iPad Pro M4 (16GB, 1TB/2TB config) run DeepSeek-V4-Flash?

No. DeepSeek-V4-Flash needs ~179.7 GB even at Q4_K_M, but iPad Pro M4 (16GB, 1TB/2TB config) only has ~12 GB usable.

How much memory does DeepSeek-V4-Flash need?

iPad Pro M4 (16GB, 1TB/2TB config) does not have enough memory. At Q4_K_M the weights are ~174.87 GB; with KV cache and runtime overhead, budget ~179.7 GB at a 4k context. It is a Mixture-of-Experts model (284B total / 13B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run DeepSeek-V4-Flash 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

[![DeepSeek-V4-Flash on iPad Pro M4 (16GB, 1TB/2TB config)](https://localmodel.run/badge/deepseek-v4-flash/ipad-pro-m4-16gb.svg)](https://localmodel.run/can-i-run/deepseek-v4-flash/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.