longcat-audiodit-3.5b-8bit-mlx

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Update model card: script paths, guidance notes

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metadata

library_name: mlx
pipeline_tag: text-to-speech
base_model: meituan-longcat/LongCat-AudioDiT-3.5B
base_model_relation: quantized
license: mit
language:
  - zh
  - en
tags:
  - mlx
  - tts
  - speech
  - longcat
  - audiodit
  - diffusion
  - quantized
  - int8
  - apple-silicon

LongCat AudioDiT 3.5B — MLX 8-bit

This repository contains a self-contained MLX-native int8 conversion of LongCat AudioDiT 3.5B for local text-to-speech on Apple Silicon.

Note This repo is a community mirror of the canonical MLX conversion maintained by AppAutomaton at appautomaton/longcat-audiodit-3.5b-8bit-mlx.

Model Details

Developed by: AppAutomaton
Shared by: mlx-community
Original MLX repo: appautomaton/longcat-audiodit-3.5b-8bit-mlx
Upstream model: meituan-longcat/LongCat-AudioDiT-3.5B
Task: text-to-speech
Runtime: MLX on Apple Silicon
Precision: int8 quantized weights with bundled tokenizer

Bundle Contents

This bundle is self-contained and includes:

config.json
model.safetensors
tokenizer files (tokenizer.json, tokenizer_config.json, special_tokens_map.json)

How to Get Started

Command-line generation with mlx-speech:

python scripts/generate/longcat_audiodit.py \
  --text "Hello from LongCat AudioDiT." \
  --model-dir /path/to/longcat-audiodit-3.5b-8bit-mlx \
  --output-audio outputs/longcat.wav

Voice cloning:

python scripts/generate/longcat_audiodit.py \
  --text "Hello from LongCat AudioDiT." \
  --prompt-text "Original speaker text." \
  --prompt-audio /path/to/prompt.wav \
  --model-dir /path/to/longcat-audiodit-3.5b-8bit-mlx \
  --output-audio outputs/longcat_clone.wav \
  --guidance-method apg

Minimal Python usage:

from pathlib import Path

from mlx_speech.generation.longcat_audiodit import generate_longcat_audiodit

result = generate_longcat_audiodit(
    text="Hello from LongCat AudioDiT.",
    model_dir=Path("/path/to/longcat-audiodit-3.5b-8bit-mlx"),
    output_audio="outputs/longcat.wav",
)

Notes

This repo contains the quantized MLX runtime artifact only.
The conversion preserves the LongCat AudioDiT diffusion transformer and bundled VAE for waveform decode.
The current bundle is intended for local MLX runtime use and parity validation.
This mirror is a duplicated repo, not an automatically synchronized namespace mirror.

License

MIT License — following the upstream license published with meituan-longcat/LongCat-AudioDiT-3.5B.