text model · Sarvam · iOS
S Can I run Sarvam-1 2B on iPhone 16?
Yes. Sarvam-1 2B runs on iPhone 16 at Q4_K_M (~2.7 GB of ~4.5 GB usable).
Runs at Q4_K_M using ~2.7 GB of ~4.5 GB usable. You have room for Q8_0 for higher quality.
- Q4_K_M needed
- ~2.7 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
- Best quant
- Q4_K_M
How to run it
On iOS use Apple Foundation Models (Built into iOS 26, ~3B on-device model, zero download, fully private.). Phones realistically run 1B-4B class models. Anything larger thermally throttles or OOMs.
- Parameters
- 2B
- Q4_K_M size
- 1.55 GB
- Q8_0 size
- 2.69 GB
- Context
- 8k
- Memory
- 8 GB unified
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
You could also run
Run Sarvam-1 2B on other hardware
FAQ
Can iPhone 16 run Sarvam-1 2B?
Yes. Sarvam-1 2B runs on iPhone 16 at Q4_K_M (~2.7 GB of ~4.5 GB usable).
How much memory does Sarvam-1 2B need?
iPhone 16 has room to spare. At Q4_K_M the weights are ~1.55 GB; with KV cache and runtime overhead, budget ~2.7 GB at a 4k context.
What is the best tool to run Sarvam-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.
Sources
Memory figures are estimates. See methodology.