text model · LFM · iOS

Can I run LFM2 1.2B on iPhone 15 Pro?

Compatibility verdict VRAM threshold engine

Yes, it runs usable speed ~18 tok/s est.

Yes. LFM2 1.2B runs on iPhone 15 Pro at Q4_K_M (~2.5 GB of ~4.5 GB usable).

Needs ~2.5 GB Device usable ~4.5 GB

Runs at Q4_K_M using ~2.5 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 15 Pro leaves ~2 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed: ~2.5 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

~1.6 GB

Q3_K_M

~1.7 GB

Q4_K_M

~2.5 GB

Q5_K_M

~1.9 GB

Q6_K

~2.1 GB

Q8_0

~2.3 GB

FP16

~3.4 GB

The line marks iPhone 15 Pro's ~4.5 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.

Power draw: ~14 W
Electricity / 1M tokens: ~$0.03
Pays for itself after: ~2,126M tok

At ~$0.15/kWh and the estimated ~18 tok/s, a million generated tokens costs about $0.03 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$999 iPhone 15 Pro pays for itself after roughly 2,126 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

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: 1.17B
Q4_K_M size: 1.42 GB
Q8_0 size: 1.16 GB
Context: 128k

Full LFM2 1.2B requirements →

Device iOS

Memory: 8 GB unified
Usable for weights: ~4.5 GB
Power draw: ~14 W
Best runtime: llama.cpp + Metal (via PocketPal or Off Grid app)

Best models for iPhone 15 Pro →

You could also run

Run LFM2 1.2B on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)iPhone 17

FAQ

Can iPhone 15 Pro run LFM2 1.2B?

Yes. LFM2 1.2B runs on iPhone 15 Pro at Q4_K_M (~2.5 GB of ~4.5 GB usable).

How much memory does LFM2 1.2B need?

iPhone 15 Pro has room to spare. At Q4_K_M the weights are ~1.42 GB; with KV cache and runtime overhead, budget ~2.5 GB at a 4k context.

What is the best tool to run LFM2 1.2B 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 1.2B on iPhone 15 Pro](https://localmodel.run/badge/lfm2-1.2b/iphone-15-pro.svg)](https://localmodel.run/can-i-run/lfm2-1.2b/iphone-15-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.