text model · Llama 3.2 Vision · Android
Can I run Llama 3.2 Vision 11B on Generic Android Phone (12GB RAM)?
No. Llama 3.2 Vision 11B needs ~9 GB even at Q4_K_M, but Generic Android Phone (12GB RAM) only has ~8.5 GB usable.
Needs ~9 GB even at Q4_K_M, but only ~8.5 GB is usable.
- Q4_K_M needed
- ~9 GB
- Usable on device
- ~8.5 GB
- Device memory
- 12 GB
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.). NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
- Parameters
- 10.7B
- Q4_K_M size
- 7.36 GB
- Q8_0 size
- 11.49 GB
- Context
- 128k
- Ollama tag
- llama3.2-vision:11b
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM
What you can run instead
Run Llama 3.2 Vision 11B on other hardware
FAQ
Can Generic Android Phone (12GB RAM) run Llama 3.2 Vision 11B?
No. Llama 3.2 Vision 11B needs ~9 GB even at Q4_K_M, but Generic Android Phone (12GB RAM) only has ~8.5 GB usable.
How much memory does Llama 3.2 Vision 11B need?
Generic Android Phone (12GB RAM) does not have enough memory. At Q4_K_M the weights are ~7.36 GB; with KV cache and runtime overhead, budget ~9 GB at a 4k context.
What is the best tool to run Llama 3.2 Vision 11B on Android?
On Android, PocketPal AI (Polished app, download GGUF and run offline.) is the go-to option. NPU acceleration is limited and chip-specific; most apps run on CPU. Expect 1B-4B class.
Sources
Memory figures are estimates. See methodology.