text model · LFM · iOS

Can I run LFM2 350M on iPhone 17?

Compatibility verdict VRAM threshold engine

Yes, it runs usable speed ~76 tok/s est.

Yes. LFM2 350M runs on iPhone 17 at Q4_K_M (~1.4 GB of ~4.5 GB usable).

Needs ~1.4 GB Device usable ~4.5 GB

Runs at Q4_K_M using ~1.4 GB of ~4.5 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. iPhone 17 leaves ~3.1 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed: ~1.4 GB
Usable on device: ~4.5 GB
Device memory: 8 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~4.5 GB usable

Q2_K

~1 GB

Q3_K_M

~1.1 GB

Q4_K_M

~1.4 GB

Q5_K_M

~1.2 GB

Q6_K

~1.2 GB

Q8_0

~1.3 GB

FP16

~1.6 GB

The line marks iPhone 17'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: 0.354B
Q4_K_M size: 0.45 GB
Q8_0 size: 0.35 GB
Context: 128k

Full LFM2 350M requirements →

Device iOS

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

Best models for iPhone 17 →

You could also run

Run LFM2 350M on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)

FAQ

Can iPhone 17 run LFM2 350M?

Yes. LFM2 350M runs on iPhone 17 at Q4_K_M (~1.4 GB of ~4.5 GB usable).

How much memory does LFM2 350M need?

iPhone 17 has room to spare. At Q4_K_M the weights are ~0.45 GB; with KV cache and runtime overhead, budget ~1.4 GB at a 4k context.

What is the best tool to run LFM2 350M 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 350M on iPhone 17](https://localmodel.run/badge/lfm2-350m/iphone-17.svg)](https://localmodel.run/can-i-run/lfm2-350m/iphone-17)

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.