Instructions to use kingfang008/step-audio-editx-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kingfang008/step-audio-editx-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir step-audio-editx-4bit-mlx kingfang008/step-audio-editx-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
metadata
license: apache-2.0
library_name: mlx
tags:
- mlx
- mlx-speech
- tts
- voice-cloning
- audio-editing
- apple-silicon
base_model: stepfun-ai/Step-Audio-EditX
Step-Audio-EditX — MLX 4-bit
Self-contained affine 4-bit MLX bundle of Step-Audio-EditX for Apple Silicon.
This is not the CUDA/vLLM checkpoint stepfun-ai/Step-Audio-EditX-AWQ-4bit. Load it with mlx-speech.
Converted from appautomaton/step-audio-editx-8bit-mlx using MLX affine quantization (bits=4, group_size=64, mode=affine).
| Component | Precision |
|---|---|
| Step1 LM, flow-model, VQ02 | affine int4 |
| VQ06, HiFT, CampPlus, flow conditioner | bf16 (unchanged) |
Total size ≈ 2.53 GB (upstream int8 ≈ 4.4 GB).
Use
pip install mlx-speech
hf download kingfang008/step-audio-editx-4bit-mlx --local-dir ./step-audio-editx-4bit-mlx
mlx-speech tts \
--model ./step-audio-editx-4bit-mlx \
--reference-audio reference.wav \
--reference-text "Transcript of the reference audio." \
--text "New cloned speech." \
-o output.wav
Requires an Apple Silicon Mac (M1 or later).