text model · Falcon · Android
Can I run Falcon-H1-34B-Instruct on Samsung Galaxy S26 Ultra (16GB, 1TB config)?
No. Falcon-H1-34B-Instruct needs ~21.1 GB even at Q4_K_M, but Samsung Galaxy S26 Ultra (16GB, 1TB config) only has ~12 GB usable.
Needs ~21.1 GB even at Q4_K_M, but only ~12 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 9.1 GB: Falcon-H1-34B-Instruct needs roughly 21.1 GB at Q4_K_M and Samsung Galaxy S26 Ultra (16GB, 1TB config) leaves only about 12 GB usable for a model. The lightest tracked hardware that runs Falcon-H1-34B-Instruct is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Falcon-H1-34B-Instruct on Nvidia GeForce RTX 4090 (24GB).
- Q4_K_M needed
- ~21.1 GB
- Usable on device
- ~12 GB
- Device memory
- 16 GB
Which quant fits
How to run it
On Android use PocketPal AI (Polished app, download GGUF and run offline.).
- Parameters
- 34B
- Q4_K_M size
- 18.94 GB
- Q8_0 size
- 33.31 GB
- Context
- 256k
- Memory
- 16 GB ram
- Usable for weights
- ~12 GB
- Best runtime
- llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)
What you can run instead
Run Falcon-H1-34B-Instruct on other hardware
FAQ
Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run Falcon-H1-34B-Instruct?
No. Falcon-H1-34B-Instruct needs ~21.1 GB even at Q4_K_M, but Samsung Galaxy S26 Ultra (16GB, 1TB config) only has ~12 GB usable.
How much memory does Falcon-H1-34B-Instruct need?
Samsung Galaxy S26 Ultra (16GB, 1TB config) does not have enough memory. At Q4_K_M the weights are ~18.94 GB; with KV cache and runtime overhead, budget ~21.1 GB at a 4k context.
What is the best tool to run Falcon-H1-34B-Instruct 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/falcon-h1-34b/samsung-s26-ultra) Sources
- falconllm.tii.ae
- github.com/a-ghorbani
- github.com/google-ai-edge
- github.com/mlc-ai
- github.com/shubham0204
- github.com/Vali-98
- gsmarena.com
- huggingface.co/blog
- huggingface.co/tiiuae/Falcon-H1-34B-Instruct
- huggingface.co/tiiuae/Falcon-H1-34B-Instruct-GGUF/tree/main
- huggingface.co/tiiuae/Falcon-H1-34B-Instruct-GGUF/tree/main/BF16
- huggingface.co/tiiuae/Falcon-H1-34B-Instruct/blob
- layla-network.ai
- notebookcheck.net
- qualcomm.com
- sammobile.com
- sammyfans.com
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.