text model · GLM · Android
GL Can I run GLM-4 9B on Google Pixel 10 Pro?
Yes. GLM-4 9B runs on Google Pixel 10 Pro at Q4_K_M (~7.3 GB of ~10.5 GB usable).
Runs at Q4_K_M using ~7.3 GB of ~10.5 GB usable.
- Q4_K_M needed
- ~7.3 GB
- Usable on device
- ~10.5 GB
- Device memory
- 16 GB
- Best quant
- Q4_K_M
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
- 9B
- Q4_K_M size
- 5.82 GB
- Q8_0 size
- 9.31 GB
- Context
- 128k
- Ollama tag
- glm4:9b
- Memory
- 16 GB ram
- Usable for weights
- ~10.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
You could also run
Run GLM-4 9B on other hardware
FAQ
Can Google Pixel 10 Pro run GLM-4 9B?
Yes. GLM-4 9B runs on Google Pixel 10 Pro at Q4_K_M (~7.3 GB of ~10.5 GB usable).
How much memory does GLM-4 9B need?
Google Pixel 10 Pro has room to spare. At Q4_K_M the weights are ~5.82 GB; with KV cache and runtime overhead, budget ~7.3 GB at a 4k context.
What is the best tool to run GLM-4 9B 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.