text model · Qwen2.5-Coder · iOS

Can I run Qwen2.5 Coder 14B on iPhone Air?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Qwen2.5 Coder 14B needs ~10.1 GB even at Q4_K_M, but iPhone Air only has ~8 GB usable.

Needs ~10.1 GB Device usable ~8 GB

Needs ~10.1 GB even at Q4_K_M, but only ~8 GB is usable.

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

The gap is about 2.1 GB: Qwen2.5 Coder 14B needs roughly 10.1 GB at Q4_K_M and iPhone Air leaves only about 8 GB usable for a model. The lightest tracked hardware that runs Qwen2.5 Coder 14B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Qwen2.5 Coder 14B on Nvidia GeForce RTX 3060 (12GB).

Q4_K_M needed: ~10.1 GB
Usable on device: ~8 GB
Device memory: 12 GB

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Which quant fits

Quant ladder vs ~8 GB usable

Q2_K

~7.6 GB

Q3_K_M

~8.5 GB

Q4_K_M

~10.1 GB

Q5_K_M

~11.7 GB

Q6_K

~13.2 GB

Q8_0

~16.3 GB

FP16

~29.7 GB

The line marks iPhone Air's ~8 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 Qwen2.5-Coder

Parameters: 14B
Q4_K_M size: 8.37 GB
Q8_0 size: 14.62 GB
Context: 32k
Ollama tag: qwen2.5-coder:14b

Full Qwen2.5 Coder 14B requirements →

Device iOS

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

Best models for iPhone Air →

What you can run instead

Run Qwen2.5 Coder 14B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)

FAQ

Can iPhone Air run Qwen2.5 Coder 14B?

No. Qwen2.5 Coder 14B needs ~10.1 GB even at Q4_K_M, but iPhone Air only has ~8 GB usable.

How much memory does Qwen2.5 Coder 14B need?

iPhone Air does not have enough memory. At Q4_K_M the weights are ~8.37 GB; with KV cache and runtime overhead, budget ~10.1 GB at a 4k context.

What is the best tool to run Qwen2.5 Coder 14B 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

[![Qwen2.5 Coder 14B on iPhone Air](https://localmodel.run/badge/qwen2.5-coder-14b/iphone-air.svg)](https://localmodel.run/can-i-run/qwen2.5-coder-14b/iphone-air)

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.