text model · DeepSeek-V4 · Android
Can I run DeepSeek-V4-Pro on Generic Android Phone (8GB RAM)?
No. DeepSeek-V4-Pro needs ~965 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.
Needs ~965 GB even at Q4_K_M, but only ~4.5 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 960.5 GB: DeepSeek-V4-Pro needs roughly 965 GB at Q4_K_M and Generic Android Phone (8GB RAM) leaves only about 4.5 GB usable for a model. No single tracked device has enough memory; DeepSeek-V4-Pro needs a multi-GPU or high-memory rig.
- Q4_K_M needed
- ~965 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
Which quant fits
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.).
- Parameters
- 1600B (MoE, 49B active)
- Q4_K_M size
- 954.58 GB
- Q8_0 size
- 1671.82 GB
- Context
- 1000k
- Memory
- 8 GB ram
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp (PocketPal or SmolChat)
What you can run instead
FAQ
Can Generic Android Phone (8GB RAM) run DeepSeek-V4-Pro?
No. DeepSeek-V4-Pro needs ~965 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.
How much memory does DeepSeek-V4-Pro need?
Generic Android Phone (8GB RAM) does not have enough memory. At Q4_K_M the weights are ~954.58 GB; with KV cache and runtime overhead, budget ~965 GB at a 4k context. It is a Mixture-of-Experts model (1600B total / 49B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run DeepSeek-V4-Pro 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.
Embed this
[](https://localmodel.run/can-i-run/deepseek-v4-pro/android-generic-8gb) 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.