text model · LFM · Android

Can I run LFM2.5 1.2B Thinking on Google Pixel 9 Pro?

Compatibility verdict VRAM threshold engine

Yes, it runs usable speed ~50 tok/s est.

Yes. LFM2.5 1.2B Thinking runs on Google Pixel 9 Pro at Q4_K_M (~1.8 GB of ~10.5 GB usable).

Needs ~1.8 GB Device usable ~10.5 GB

Runs at Q4_K_M using ~1.8 GB of ~10.5 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Google Pixel 9 Pro leaves ~8.7 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed: ~1.8 GB
Usable on device: ~10.5 GB
Device memory: 16 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~10.5 GB usable

Q2_K

~1.6 GB

Q3_K_M

~1.7 GB

Q4_K_M

~1.8 GB

Q5_K_M

~1.9 GB

Q6_K

~2.1 GB

Q8_0

~2.3 GB

FP16

~3.3 GB

The line marks Google Pixel 9 Pro's ~10.5 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 LFM

Parameters: 1.17B
Q4_K_M size: 0.68 GB
Q8_0 size: 1.16 GB
Context: 128k
Ollama tag: lfm2.5-thinking:1.2b

Full LFM2.5 1.2B Thinking requirements →

Device Android

Memory: 16 GB ram
Usable for weights: ~10.5 GB
Best runtime: llama.cpp (PocketPal) or MLC-LLM (Adreno GPU path)

Best models for Google Pixel 9 Pro →

You could also run

Run LFM2.5 1.2B Thinking on other hardware

Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 Pro iPhone 16 iPhone 16 Pro Generic Android Phone (8GB RAM)

FAQ

Can Google Pixel 9 Pro run LFM2.5 1.2B Thinking?

Yes. LFM2.5 1.2B Thinking runs on Google Pixel 9 Pro at Q4_K_M (~1.8 GB of ~10.5 GB usable).

How much memory does LFM2.5 1.2B Thinking need?

Google Pixel 9 Pro has room to spare. At Q4_K_M the weights are ~0.68 GB; with KV cache and runtime overhead, budget ~1.8 GB at a 4k context.

What is the best tool to run LFM2.5 1.2B Thinking 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

[![LFM2.5 1.2B Thinking on Google Pixel 9 Pro](https://localmodel.run/badge/lfm2.5-1.2b-thinking/pixel-9-pro.svg)](https://localmodel.run/can-i-run/lfm2.5-1.2b-thinking/pixel-9-pro)

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.