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audio model · LFM · macOS

Can I run LFM3 Audio 2B on Apple M3 Ultra (256GB)?

Compatibility verdict memory check
Yes, it runs moderate speed

Yes. LFM3 Audio 2B runs on Apple M3 Ultra (256GB) at Q8_0, audio.cpp ASR (~4.61 GB of ~192 GB usable).

Needs ~4.61 GB Device usable ~192 GB

Runs at Q8_0, audio.cpp ASR using ~4.61 GB of ~192 GB usable.

Peak memory
~4.61 GB
Usable on device
~192 GB
Device memory
256 GB
Quant
Q8_0, audio.cpp ASR
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How to run it

Use audio.cpp (experimental) at Q8_0, audio.cpp ASR. It loads as a single model and runs on a GPU.

Model LFM
Type
Speech recognition
Parameters
2B
Peak memory
~4.61 GB at Q8_0, audio.cpp ASR
License
LFM Open License v1.0
Full LFM3 Audio 2B requirements →
Device macOS
Memory
256 GB unified
Usable for weights
~192 GB
Power draw
~270 W
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M3 Ultra (256GB) →

You could also run

Run LFM3 Audio 2B on other hardware

Nvidia GeForce RTX 2060 (6GB)Apple M1 (8GB)Nvidia GeForce RTX 3060 Ti (8GB)Nvidia GeForce GTX 1070 (8GB)Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)

FAQ

Can Apple M3 Ultra (256GB) run LFM3 Audio 2B?

Yes. LFM3 Audio 2B runs on Apple M3 Ultra (256GB) at Q8_0, audio.cpp ASR (~4.61 GB of ~192 GB usable).

How much memory does LFM3 Audio 2B need?

Apple M3 Ultra (256GB) has room to spare. At Q8_0, audio.cpp ASR the realistic peak is ~4.61 GB of memory.

What do I use to run LFM3 Audio 2B locally?

LFM3 Audio 2B runs in audio.cpp (experimental). It needs a GPU.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-11-01. See methodology.