text model · Mistral · Android

Can I run Mistral Nemo 12B on Samsung Galaxy S26 Ultra (16GB, 1TB config)?

Compatibility verdict VRAM threshold engine

Yes, it runs slow on this hardware ~6 tok/s est.

Yes. Mistral Nemo 12B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~8.6 GB of ~12 GB usable).

Needs ~8.6 GB Device usable ~12 GB

Runs at Q4_K_M using ~8.6 GB of ~12 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. Samsung Galaxy S26 Ultra (16GB, 1TB config) leaves ~3.4 GB of headroom.

Q4_K_M needed: ~8.6 GB
Usable on device: ~12 GB
Device memory: 16 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~12 GB usable

Q2_K

~6.7 GB

Q3_K_M

~7.6 GB

Q4_K_M

~8.6 GB

Q5_K_M

~10.3 GB

Q6_K

~11.6 GB

Q8_0

~13.7 GB

FP16

~26 GB

The line marks Samsung Galaxy S26 Ultra (16GB, 1TB config)'s ~12 GB budget; rungs past it are too large.

How to run it

On Android use PocketPal AI (Polished app, download GGUF and run offline.).

Model Mistral

Parameters: 12.2B
Q4_K_M size: 6.96 GB
Q8_0 size: 12.13 GB
Context: 128k
Ollama tag: mistral-nemo:12b

Full Mistral Nemo 12B requirements →

Device Android

Memory: 16 GB ram
Usable for weights: ~12 GB
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Samsung Galaxy S26 Ultra (16GB, 1TB config) →

You could also run

Run Mistral Nemo 12B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)

FAQ

Can Samsung Galaxy S26 Ultra (16GB, 1TB config) run Mistral Nemo 12B?

Yes. Mistral Nemo 12B runs on Samsung Galaxy S26 Ultra (16GB, 1TB config) at Q4_K_M (~8.6 GB of ~12 GB usable).

How much memory does Mistral Nemo 12B need?

Samsung Galaxy S26 Ultra (16GB, 1TB config) has room to spare. At Q4_K_M the weights are ~6.96 GB; with KV cache and runtime overhead, budget ~8.6 GB at a 4k context.

What is the best tool to run Mistral Nemo 12B 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.

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[![Mistral Nemo 12B on Samsung Galaxy S26 Ultra (16GB, 1TB config)](https://localmodel.run/badge/mistral-nemo-12b/samsung-s26-ultra.svg)](https://localmodel.run/can-i-run/mistral-nemo-12b/samsung-s26-ultra)

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.