aufklarer / Fish-Audio-S2-Pro-MLX-fp16

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Model's Last Updated: June 30 2026
text-to-speech

Introduction of Fish-Audio-S2-Pro-MLX-fp16

Model Details of Fish-Audio-S2-Pro-MLX-fp16

Fish-Audio-S2-Pro-MLX-fp16

This is an fp16 artifact export of fishaudio/s2-pro for Apple Silicon runtime evaluation.

Runtime support is not implied by this model card. The bundle preserves upstream key names and is intended for a speech-swift Swift/MLX port.

Model
Field Value
Source fishaudio/s2-pro
Source revision 1de9996b6be38b745688de084d87a5633f714e4e
Format MLX fp16 safetensors
License posture research/non-commercial
Readiness benchmark-only
Sample rate See upstream/runtime implementation.
Voice conditioning Fish Speech reference / speaker conditioning stack
Runtime status benchmark artifact; not for default product integration
Emotion Control
Field Value
Marker syntax free-form inline bracket tags
Supported markers [pause] , [emphasis] , [laughing] , [excited] , [angry] , [whisper] , [screaming] , [shouting] , [surprised] , [sad]
Files
  • config.json - root config for Hugging Face download tracking and runtime metadata
  • soniqo_manifest.json - export manifest with source, marker, readiness, and file metadata
  • *.safetensors - fp16-converted model weights with upstream key names preserved
Notes
  • Strong benchmark for free-form inline prosody/emotion tags.
  • Public weights are research/non-commercial; commercial use requires a separate license.
  • The codec checkpoint is converted from PyTorch pickle to safetensors when this model is exported.
Usage

These artifacts are for runtime implementation and evaluation. They are not a drop-in Transformers checkpoint.

git clone https://huggingface.co/aufklarer/Fish-Audio-S2-Pro-MLX-fp16
Source
Links

Runs of aufklarer Fish-Audio-S2-Pro-MLX-fp16 on huggingface.co

74
Total runs
-3
24-hour runs
2
3-day runs
-5
7-day runs
19
30-day runs

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