Fish Audio S2 Pro MLX FP16
This is an fp16 artifact export of fishaudio/s2-pro for Apple Silicon runtime evaluation.
Model source
- Kind
- Other
- File size
- 1.01–4.64 GB
- Base model
- fishaudio/s2-pro
- Version
- vRevision 2543398
- Updated
- Nov 6, 2026
- Downloads
- 66
- Source
- Hugging Face
Source description
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 metadatasoniqo_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
- Upstream model: https://huggingface.co/fishaudio/s2-pro
Links
- speech-swift - Apple SDK
- Speech Studio - local speech generation and voice cloning app
- Docs - install and CLI docs
- soniqo.audio - website
- Blog - blog
Sources
1 source
Sources
1 sourceVerified Nov 6
Download files
Model · 2 weight files
All files listed in the provider index are present.
- model.safetensors.index.json · provider index
- config.json
- model-00002-of-00002.safetensors · individual shard
- model-00001-of-00002.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
Model artifacts
3 artifacts
Model artifacts
3 artifactscodec.safetensors
safetensors · FP16 + BOOL (tensor header) · 1.01 GB · SHA-256 26da752caffb…37ae · Hugging Face
Download filemodel-00001-of-00002.safetensors
safetensors · 4.64 GB · SHA-256 a294a9dbd8d8…07c9 · Hugging Face
Download shardmodel-00002-of-00002.safetensors
safetensors · 3.85 GB · SHA-256 5aa74fa39e64…c03b · Hugging Face
Download shardSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: other language: - hi - en - zh - ja - ko - es - pt - ar - ru - fr - de tags: - text-to-speech - hindi - emotion-control - fish-audio - benchmark - mlx - fp16 base_model: fishaudio/s2-pro library_name: mlx pipeline_tag: text-to-speech --- # Fish-Audio-S2-Pro-MLX-fp16 This is an fp16 artifact export of [fishaudio/s2-pro](https://huggingface.co/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. ```bash git clone https://huggingface.co/aufklarer/Fish-Audio-S2-Pro-MLX-fp16 ``` ## Source - Upstream model: https://huggingface.co/fishaudio/s2-pro ## Links - [speech-swift](https://github.com/soniqo/speech-swift) - Apple SDK - [Speech Studio](https://soniqo.audio/speech-studio) - local speech generation and voice cloning app - [Docs](https://soniqo.audio/getting-started) - install and CLI docs - [soniqo.audio](https://soniqo.audio) - website - [Blog](https://so...
Source context: 66 downloads · 1 likes · Pipeline text-to-speech · Library mlx · Repo aufklarer/Fish-Audio-S2-Pro-MLX-fp16
Source context: 86 downloads · 1 likes · Pipeline text-to-speech · Library mlx · Repo aufklarer/Fish-Audio-S2-Pro-MLX-fp16
