Audio model · LFM
LF LFM3 Audio 2B requirements
LFM3 Audio 2B needs about 4.61 GB of memory at Q8_0, audio.cpp ASR, so the lightest hardware that runs it is Nvidia GeForce RTX 2060 (6GB).
Speech recognition · 2B params · Q8_0 GGUF + Q8_0 projector · released Oct 2026.
LFM Open License v1.0: free for organizations below $10M annual revenue; larger organizations require separate terms.
Run it
LFM3 Audio 2B runs in audio.cpp (experimental) at Q8_0, audio.cpp ASR. It needs a GPU (or Apple Silicon with enough unified memory).
Which devices can run LFM3 Audio 2B?
NVIDIA GPUs
- Nvidia GeForce RTX 2060 (6GB) Tight
- Nvidia GeForce RTX 3060 Ti (8GB) Yes
- Nvidia GeForce GTX 1070 (8GB) Yes
- Nvidia GeForce RTX 3060 (12GB) Yes
- Nvidia GeForce RTX 4070 (12GB) Yes
- Nvidia GeForce RTX 5070 (12GB) Yes
- Nvidia GeForce RTX 4060 Ti (16GB) Yes
- Nvidia GeForce RTX 4080 (16GB) Yes
- Nvidia GeForce RTX 5080 (16GB) Yes
- Nvidia GeForce RTX 5070 Ti (16GB) Yes
- Nvidia GeForce RTX 5060 Ti (16GB) Yes
- Nvidia GeForce RTX 4090 (24GB) Yes
- Nvidia GeForce RTX 3090 (24GB) Yes
- Nvidia GeForce RTX 5090 (32GB) Yes
- Nvidia DGX Spark (128GB) Yes
Apple Silicon Macs
- Apple M1 (8GB) Tight
- Apple M2 (16GB) Yes
- Apple M4 (16GB) Yes
- Apple M5 (16GB) Yes
- Apple M3 Pro (18GB) Yes
- Apple M4 (24GB) Yes
- Apple M4 Pro (24GB) Yes
- Apple M5 (32GB) Yes
- Apple M4 Pro (48GB) Yes
- Apple M5 Pro (48GB) Yes
- Apple M4 Max (64GB) Yes
- Apple M4 Max (128GB) Yes
- Apple M5 Max (128GB) Yes
- Apple M3 Ultra (256GB) Yes
RAM-only laptops
No mainstream local runtime for LFM3 Audio 2B on RAM-only laptops yet.
iPhone & iPad
No mainstream local runtime for LFM3 Audio 2B on iPhone & iPad yet.
Android
No mainstream local runtime for LFM3 Audio 2B on Android yet.
AMD GPUs
No mainstream local runtime for LFM3 Audio 2B on AMD GPUs yet.
FAQ
How much memory does LFM3 Audio 2B need?
At Q8_0, audio.cpp ASR it consumes ~4.61 GB. It needs a GPU or Apple Silicon.
Can LFM3 Audio 2B run on a phone or CPU?
Not practically. LFM3 Audio 2B expects a GPU; CPU inference is too slow for real use.
Can I use LFM3 Audio 2B commercially?
Conditionally. LFM Open License v1.0: free for organizations below $10M annual revenue; larger organizations require separate terms.
ASR profile for the experimental audio.cpp runtime with official Q8_0 backbone and Q8_0 projector (2,150,048,544 bytes combined). Runtime-author measurements on 2026-10-27: H100 GPU peak 4,719 MiB for 418-second ASR, used as the memory anchor; short ASR used 2,683 MiB and TTS 2,751 MiB. M3 Ultra process footprint was 3,594 MB for long ASR, a different metric. The anchor applies to that runtime and workload, not all audio lengths or speech tasks. audio.cpp caps context at 8,192 steps, despite the vendor config 128,000-token capacity; Q4 accuracy degradation is documented. CPU and phone memory support are not verified here.
Sources
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github.com · 1 source
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ollama.com · 1 source
Memory is a sourced peak-usage anchor at Q8_0, audio.cpp ASR. Catalog updated 2026-11-01. See methodology.