text model · Command R · Android
Can I run Command R 35B on Samsung Galaxy S24 Ultra?
No. Command R 35B needs ~22.3 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
Needs ~22.3 GB even at Q4_K_M, but only ~8.5 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 13.8 GB: Command R 35B needs roughly 22.3 GB at Q4_K_M and Samsung Galaxy S24 Ultra leaves only about 8.5 GB usable for a model. The lightest tracked hardware that runs Command R 35B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Command R 35B on Nvidia GeForce RTX 4090 (24GB).
- Q4_K_M needed
- ~22.3 GB
- Usable on device
- ~8.5 GB
- Device memory
- 12 GB
Which quant fits
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.).
- Parameters
- 35B
- Q4_K_M size
- 20.05 GB
- Q8_0 size
- 34.63 GB
- Context
- 128k
- Ollama tag
- command-r:35b
- Memory
- 12 GB ram
- Usable for weights
- ~8.5 GB
- Power draw
- ~8 W
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
What you can run instead
Run Command R 35B on other hardware
FAQ
Can Samsung Galaxy S24 Ultra run Command R 35B?
No. Command R 35B needs ~22.3 GB even at Q4_K_M, but Samsung Galaxy S24 Ultra only has ~8.5 GB usable.
How much memory does Command R 35B need?
Samsung Galaxy S24 Ultra does not have enough memory. At Q4_K_M the weights are ~20.05 GB; with KV cache and runtime overhead, budget ~22.3 GB at a 4k context.
What is the best tool to run Command R 35B 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
A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/command-r-35b/samsung-s24-ultra) Sources
- androidauthority.com
- comparigon.com
- github.com/a-ghorbani
- github.com/google-ai-edge
- github.com/mlc-ai
- github.com/shubham0204
- github.com/Vali-98
- gsmarena.com/samsung_galaxy_s24_ultra-12419.php
- gsmarena.com/samsung_galaxy_s24_ultra-12771.php
- gsmarena.com/samsung_galaxy_s24_ultra-review-2754p5.php
- huggingface.co/bartowski/c4ai-command-r-v01-GGUF
- huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
- huggingface.co/CohereForAI
- layla-network.ai
- ollama.com/library/command-r
- ollama.com/library/command-r/tags
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.