aufklarer / MAGNeT-Medium-30secs-MLX-4bit

huggingface.co
Total runs: 26
24-hour runs: 2
7-day runs: 7
30-day runs: 9
Model's Last Updated: May 20 2026
text-to-audio

Introduction of MAGNeT-Medium-30secs-MLX-4bit

Model Details of MAGNeT-Medium-30secs-MLX-4bit

MAGNeT-Medium-30secs-MLX-4bit

MLX port of Meta's MAGNeT — a masked parallel text-to-music model — quantized to INT4 weight-only for on-device generation on Apple Silicon. EnCodec 32 kHz audio decoder; T5-base text encoder; per-codebook iterative decoding with restricted-context self-attention.

Model
Parameters (LM) 1.5B
Quantization INT4 weight-only, group size 64
Format MLX safetensors
Sample rate 32 kHz mono
Output length 30 s per generation (fixed)
Decoding steps 50 total ( [20, 10, 10, 10] across 4 RVQ codebooks)
Bundle size 1357 MB on disk
Source facebook/magnet-medium-30secs
Performance (Apple Silicon, 30 s audio)
Metric Value
Real-time factor (wall / audio) 1.20
Peak RSS 2215 MB
CLAP score (laion/clap-htsat-unfused, 5 prompts) 0.334
Usage
from huggingface_hub import snapshot_download
bundle = snapshot_download("aufklarer/MAGNeT-Medium-30secs-MLX-4bit")
# See https://github.com/soniqo/speech-swift for production usage.
Source
License

CC-BY-NC 4.0 — inherited from upstream MAGNeT weights. Non-commercial use only.

Runs of aufklarer MAGNeT-Medium-30secs-MLX-4bit on huggingface.co

26
Total runs
2
24-hour runs
2
3-day runs
7
7-day runs
9
30-day runs

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