text model · Mistral · Android

Can I run Devstral 2 123B on Generic Android Phone (8GB RAM)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Devstral 2 123B needs ~73.3 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.

Needs ~73.3 GB Device usable ~4.5 GB

Needs ~73.3 GB even at Q4_K_M, but only ~4.5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 68.8 GB: Devstral 2 123B needs roughly 73.3 GB at Q4_K_M and Generic Android Phone (8GB RAM) leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs Devstral 2 123B is the Apple M4 Max (128GB) at 128 GB. See Devstral 2 123B on Apple M4 Max (128GB).

Q4_K_M needed: ~73.3 GB
Usable on device: ~4.5 GB
Device memory: 8 GB

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Which quant fits

Quant ladder vs ~4.5 GB usable

Q2_K

~55 GB

Q3_K_M

~63.6 GB

Q4_K_M

~73.3 GB

Q5_K_M

~91.1 GB

Q6_K

~104.4 GB

Q8_0

~127.2 GB

FP16

~253.6 GB

The line marks Generic Android Phone (8GB RAM)'s ~4.5 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: 123B
Q4_K_M size: 69.75 GB
Q8_0 size: 123.73 GB
Context: 256k
Ollama tag: devstral-2:123b

Full Devstral 2 123B requirements →

Device Android

Memory: 8 GB ram
Usable for weights: ~4.5 GB
Best runtime: llama.cpp (PocketPal or SmolChat)

Best models for Generic Android Phone (8GB RAM) →

What you can run instead

Run Devstral 2 123B on other hardware

Apple M4 Max (128GB)AMD Ryzen AI Halo (128GB)Apple M5 Max (128GB)Apple M3 Ultra (256GB)

FAQ

Can Generic Android Phone (8GB RAM) run Devstral 2 123B?

No. Devstral 2 123B needs ~73.3 GB even at Q4_K_M, but Generic Android Phone (8GB RAM) only has ~4.5 GB usable.

How much memory does Devstral 2 123B need?

Generic Android Phone (8GB RAM) does not have enough memory. At Q4_K_M the weights are ~69.75 GB; with KV cache and runtime overhead, budget ~73.3 GB at a 4k context.

What is the best tool to run Devstral 2 123B 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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Markdown

[![Devstral 2 123B on Generic Android Phone (8GB RAM)](https://localmodel.run/badge/devstral-2-123b/android-generic-8gb.svg)](https://localmodel.run/can-i-run/devstral-2-123b/android-generic-8gb)

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.