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text model · Laguna · iOS

Can I run Laguna S 2.1 on iPhone 16?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Laguna S 2.1 needs ~92.8 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.

Needs ~92.8 GB Device usable ~4.5 GB

Needs ~92.8 GB even at Q4_K_M, but only ~4.5 GB is usable.

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

The gap is about 88.3 GB: Laguna S 2.1 needs roughly 92.8 GB at Q4_K_M and iPhone 16 leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs Laguna S 2.1 is the Apple M4 Max (128GB) at 128 GB. See Laguna S 2.1 on Apple M4 Max (128GB).

Q4_K_M needed
~92.8 GB
Usable on device
~4.5 GB
Device memory
8 GB
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Which quant fits

Quant ladder vs ~4.5 GB usable
Q2_K
~52.8 GB
Q3_K_M
~61.1 GB
Q4_K_M
~92.8 GB
Q5_K_M
~87.5 GB
Q6_K
~100.2 GB
Q8_0
~123.3 GB
FP16
~222.5 GB
The line marks iPhone 16's ~4.5 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 Laguna
Parameters
118B (MoE, 8B active)
Q4_K_M size
89.44 GB
Q8_0 size
119.91 GB
Context
1000k
Ollama tag
laguna-s-2.1:latest
Full Laguna S 2.1 requirements →
Device iOS
Memory
8 GB unified
Usable for weights
~4.5 GB
Power draw
~11 W
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 16 →

What you can run instead

Run Laguna S 2.1 on other hardware

FAQ

Can iPhone 16 run Laguna S 2.1?

No. Laguna S 2.1 needs ~92.8 GB even at Q4_K_M, but iPhone 16 only has ~4.5 GB usable.

How much memory does Laguna S 2.1 need?

iPhone 16 does not have enough memory. At Q4_K_M the weights are ~89.44 GB; with KV cache and runtime overhead, budget ~92.8 GB at a 4k context. It is a Mixture-of-Experts model (118B total / 8B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Laguna S 2.1 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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Laguna S 2.1 on iPhone 16 compatibility badge A live badge for your model card or README, updated as the data is.
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$ [![Laguna S 2.1 on iPhone 16](https://localmodel.run/badge/laguna-s-2.1/iphone-16.svg)](https://localmodel.run/can-i-run/laguna-s-2.1/iphone-16)

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.