rodrigomt/s2-pro-gguf
text-to-speech model by rodrigomt
From the publisher
Model card & documentation
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GGUF-quantized weights of Fish Audio S2 Pro, a high-quality multilingual text-to-speech model with voice cloning support, packaged for local inference with s2.cpp — a pure C++/GGML engine with no Python dependency. All GGUF files contain both the transformer weights and the audio codec in a single file. Reference audio: 5–30 seconds, clean recording, WAV or MP3. The GGUF files in this repository were re-quantized using a modified llama-quantize tool with improved quantization…
Read the full model card ↗ · Preview checked 2026-10-28T18:13:58.573Z
Inside the original model card — Document outline
- S2 Pro — GGUF
- Files
- Requirements
- VRAM guide
- Quick start
- Voice cloning
- Quantization
- Model architecture
- License
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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
rodrigomt/s2-pro-gguf is a text-to-speech model repository published by rodrigomt on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- Not reported
- Recent downloads (30 days)
- 33,163
- Cumulative likes
- 80
- Hugging Face trending score
- 3
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-03-17T03:41:41.000Z
- Last modified
- 2026-03-21T21:00:08.000Z
Compatibility and lineage
Reported languages: multilingual
Reported base models: fishaudio/s2-pro
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.