text model · DeepSeek-R1-Distill · Android
Can I run DeepSeek-R1-Distill-Llama 8B on Generic Android Phone (8GB RAM)?
No. DeepSeek-R1-Distill-Llama 8B needs ~6.4 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.
Needs ~6.4 GB even at Q4_K_M, but only ~4.5 GB is usable.
- Q4_K_M needed
- ~6.4 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 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
- 8B
- Q4_K_M size
- 4.92 GB
- Q8_0 size
- 8.54 GB
- Context
- 128k
- Ollama tag
- deepseek-r1:8b
- Memory
- 8 GB ram
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp (PocketPal or SmolChat)
What you can run instead
Run DeepSeek-R1-Distill-Llama 8B on other hardware
FAQ
Can Generic Android Phone (8GB RAM) run DeepSeek-R1-Distill-Llama 8B?
No. DeepSeek-R1-Distill-Llama 8B needs ~6.4 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.
How much memory does DeepSeek-R1-Distill-Llama 8B need?
Generic Android Phone (8GB RAM) does not have enough memory. At Q4_K_M the weights are ~4.92 GB; with KV cache and runtime overhead, budget ~6.4 GB at a 4k context.
What is the best tool to run DeepSeek-R1-Distill-Llama 8B 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.