# Can I run Llama 3.1 8B on iPhone 17 Pro?

> **Yes, it runs.** Runs at Q4_K_M using ~6.4 GB of ~8 GB usable.

Last validated: 2026-06-15.

## Memory math
- Llama 3.1 8B: 8B; Q4_K_M weighs 4.92 GB on disk.
- At Q4_K_M with a 4k context it needs ~6.4 GB (weights + KV cache + ~0.8 GB runtime overhead, ±15% with context length).
- iPhone 17 Pro: 12 GB unified, ~8 GB usable for model weights.
- Headroom: ~1.6 GB.

## How to run
Recommended quant: Q4_K_M. Best tool on iOS: Apple Foundation Models.

## Run Llama 3.1 8B on other devices
- [Nvidia GeForce RTX 3060 (12GB)](https://localmodel.run/can-i-run/llama-3.1-8b/nvidia-rtx-3060-12gb)
- [Nvidia GeForce RTX 4070 (12GB)](https://localmodel.run/can-i-run/llama-3.1-8b/nvidia-rtx-4070-12gb)
- [Samsung Galaxy S24 Ultra](https://localmodel.run/can-i-run/llama-3.1-8b/samsung-s24-ultra)
- [Generic Android Phone (12GB RAM)](https://localmodel.run/can-i-run/llama-3.1-8b/android-generic-12gb)
- [iPhone Air](https://localmodel.run/can-i-run/llama-3.1-8b/iphone-air)
- [Apple M2 (16GB)](https://localmodel.run/can-i-run/llama-3.1-8b/apple-m2-16gb)

## Other models that run on iPhone 17 Pro
- [Falcon3 10B (10B)](https://localmodel.run/can-i-run/falcon3-10b/iphone-17-pro)
- [Gemma 2 9B (9B)](https://localmodel.run/can-i-run/gemma-2-9b/iphone-17-pro)
- [GLM-4 9B (9B)](https://localmodel.run/can-i-run/glm-4-9b/iphone-17-pro)
- [Qwen2.5-VL 7B (8.29B)](https://localmodel.run/can-i-run/qwen2.5-vl-7b/iphone-17-pro)
- [Qwen3 8B (8B)](https://localmodel.run/can-i-run/qwen3-8b/iphone-17-pro)
- [DeepSeek-R1-Distill-Llama 8B (8B)](https://localmodel.run/can-i-run/deepseek-r1-distill-llama-8b/iphone-17-pro)

Estimate, not a guarantee. Sources: https://ollama.com/library/llama3.1, https://ollama.com/library/llama3.1/tags, https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF, https://lmarena.ai/leaderboard.
More: https://localmodel.run/can-i-run/llama-3.1-8b/iphone-17-pro