text model · GLM · iOS
Can I run GLM-4 9B on iPhone Air?
Yes. GLM-4 9B runs on iPhone Air at Q4_K_M (~7.3 GB of ~8 GB usable).
Fits at Q4_K_M (~7.3 GB of ~8 GB usable) but with little headroom. Close background apps, and expect slow generation on a phone.
That figure is at a 4k context and moves about ±15% as context length changes. iPhone Air leaves ~0.7 GB of headroom.
- Q4_K_M needed
- ~7.3 GB
- Usable on device
- ~8 GB
- Device memory
- 12 GB
- Best quant
- Q4_K_M
Which quant fits
How to run it
On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.).
- Parameters
- 9B
- Q4_K_M size
- 5.82 GB
- Q8_0 size
- 9.31 GB
- Context
- 128k
- Ollama tag
- glm4:9b
- Memory
- 12 GB unified
- Usable for weights
- ~8 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
You could also run
Run GLM-4 9B on other hardware
FAQ
Can iPhone Air run GLM-4 9B?
Yes. GLM-4 9B runs on iPhone Air at Q4_K_M (~7.3 GB of ~8 GB usable).
How much memory does GLM-4 9B need?
It is a tight fit on iPhone Air. At Q4_K_M the weights are ~5.82 GB; with KV cache and runtime overhead, budget ~7.3 GB at a 4k context.
What is the best tool to run GLM-4 9B 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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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/glm-4-9b/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.