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audio model · LFM · macOS

Can I run LFM3 Audio 2B on Apple M5 (16GB)?

Compatibility verdict memory check
Yes, it runs moderate speed

Yes. LFM3 Audio 2B runs on Apple M5 (16GB) at Q8_0, audio.cpp ASR (~4.61 GB of ~10.5 GB usable).

Needs ~4.61 GB Device usable ~10.5 GB

Runs at Q8_0, audio.cpp ASR using ~4.61 GB of ~10.5 GB usable.

Peak memory
~4.61 GB
Usable on device
~10.5 GB
Device memory
16 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
16 GB unified
Usable for weights
~10.5 GB
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M5 (16GB) →

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 M5 (16GB) run LFM3 Audio 2B?

Yes. LFM3 Audio 2B runs on Apple M5 (16GB) at Q8_0, audio.cpp ASR (~4.61 GB of ~10.5 GB usable).

How much memory does LFM3 Audio 2B need?

Apple M5 (16GB) 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.