aufklarer/Chatterbox-Multilingual-MLX-fp16

🤗 Hugging Face 来源text-to-speechmit643M 参数1.3 GBsafetensors✓ 3 个校验和今天更新

一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo aufklarer/Chatterbox-Multilingual-MLX-fp16 ./model-folder

需要做种者 →

aufklarer/Chatterbox-Multilingual-MLX-fp16

Multilingual Chatterbox (Resemble AI, MIT) converted to MLX in genuine fp16 for Apple-silicon inference. Unlike mlx-community/chatterbox-fp16 (stored as F32, ~2.6 GB), this bundle stores all float tensors as fp16 (~1.3 GB) with an identical key layout.

Zero-shot voice cloning from a short reference clip across 23 languages (incl. Arabic and Hindi). Component prefixes: ve.* (voice encoder), t3.* (text→speech-token T3), s3gen.* (token→waveform S3Gen).

Note: requires the S3Tokenizer weights from mlx-community/S3TokenizerV2, downloaded automatically at runtime.

Use with mlx-audio

pip install -U mlx-audio
mlx_audio.tts.generate --model aufklarer/Chatterbox-Multilingual-MLX-fp16 --text "[ar] مرحبا" --ref_audio reference.wav

Converted with models/chatterbox/export/convert.py (speech-models).