text model · Sarvam · Android
S Can I run Sarvam-M 24B on Samsung Galaxy S24 Ultra?
No. Sarvam-M 24B needs ~16.3 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
Needs ~16.3 GB even at Q4_K_M, but only ~8.5 GB is usable.
- Q4_K_M needed
- ~16.3 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
- 24B
- Q4_K_M size
- 14.3 GB
- Q8_0 size
- 25.1 GB
- Context
- 32k
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
What you can run instead
Run Sarvam-M 24B on other hardware
FAQ
Can Samsung Galaxy S24 Ultra run Sarvam-M 24B?
No. Sarvam-M 24B needs ~16.3 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
How much memory does Sarvam-M 24B need?
Samsung Galaxy S24 Ultra does not have enough memory. At Q4_K_M the weights are ~14.3 GB; with KV cache and runtime overhead, budget ~16.3 GB at a 4k context.
What is the best tool to run Sarvam-M 24B 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.