text model · LFM · iOS

Can I run LFM2.5 8B-A1B on iPhone 16 Pro?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. LFM2.5 8B-A1B needs ~6.7 GB even at Q4_K_M, but iPhone 16 Pro only has ~4.5 GB usable.

Needs ~6.7 GB Device usable ~4.5 GB

Needs ~6.7 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 2.2 GB: LFM2.5 8B-A1B needs roughly 6.7 GB at Q4_K_M and iPhone 16 Pro leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs LFM2.5 8B-A1B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See LFM2.5 8B-A1B on Nvidia GeForce RTX 3060 (12GB).

Q4_K_M needed: ~6.7 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

~5 GB

Q3_K_M

~5.6 GB

Q4_K_M

~6.7 GB

Q5_K_M

~7.4 GB

Q6_K

~8.3 GB

Q8_0

~10.5 GB

FP16

~18.5 GB

The line marks iPhone 16 Pro'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 LFM

Parameters: 8.3B (MoE, 1.5B active)
Q4_K_M size: 5.2 GB
Q8_0 size: 9 GB
Context: 128k
Ollama tag: lfm2.5:8b-a1b

Full LFM2.5 8B-A1B requirements →

Device iOS

Memory: 8 GB unified
Usable for weights: ~4.5 GB
Power draw: ~12 W
Best runtime: llama.cpp + Metal (via PocketPal or Off Grid app)

Best models for iPhone 16 Pro →

What you can run instead

Run LFM2.5 8B-A1B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Samsung Galaxy S24 Ultra Generic Android Phone (12GB RAM)iPhone 17 Pro iPhone Air

FAQ

Can iPhone 16 Pro run LFM2.5 8B-A1B?

No. LFM2.5 8B-A1B needs ~6.7 GB even at Q4_K_M, but iPhone 16 Pro only has ~4.5 GB usable.

How much memory does LFM2.5 8B-A1B need?

iPhone 16 Pro does not have enough memory. At Q4_K_M the weights are ~5.2 GB; with KV cache and runtime overhead, budget ~6.7 GB at a 4k context. It is a Mixture-of-Experts model (8.3B total / 1.5B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run LFM2.5 8B-A1B 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

[![LFM2.5 8B-A1B on iPhone 16 Pro](https://localmodel.run/badge/lfm2.5-8b-a1b/iphone-16-pro.svg)](https://localmodel.run/can-i-run/lfm2.5-8b-a1b/iphone-16-pro)

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.