saxyZ/audio.cpp-gguf-fork
text-to-speech model by saxyZ
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Model card & documentation
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This directory contains audio.cpp-native GGUF conversions of multiple speech models. These files are intended for use with audio.cpp. For conversion details, supported layouts, direct-file loading, sidecar embedding, and the latest compatibility notes, see the audio.cpp GGUF guide: !!! Automated audio checks are intentionally strict and may flag length, log-mel, or transcript drift that can still sound acceptable to human listeners. Validate the exact file, backend, and route you plan to use. These converted weights are provided as-is; use them at your own risk. Tested summarizes the current audio.cpp path-test status. See the GGUF guide above for the full matrix and drift notes. and side tensors stay in non-Q8 types while matmul-compatible weights are quantized. tensors in Q8 in addition to the default converter selection. conditioner.embed,…
Read the full model card ↗ · Preview checked 2026-10-28T18:16:58.563Z
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Model overview
saxyZ/audio.cpp-gguf-fork is a text-to-speech model repository published by saxyZ on Hugging Face. The source reports the audio.cpp library.
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
- audio.cpp
- Recent downloads (30 days)
- 12,627
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-08-18T12:11:01.000Z
- Last modified
- 2026-08-18T12:11:02.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: MiniMaxAI/MiniMax-H3, ACE-Step/Ace-Step1.5, ACE-Step/acestep-v15-base, Aratako/Irodori-TTS-500M-v3, Aratako/Irodori-TTS-600M-v3-VoiceDesign, Aratako/Irodori-TTS-v4.1-Small, Aratako/MioCodec-25Hz-44.1kHz-v2, Aratako/MioTTS-1.7B, Aratako/Semantic-DACVAE-Japanese-32dim, Banafo/Kroko-ASR, dots-studio/dots.tts-mf, dots-studio/dots.tts-soar, fishaudio/s2-pro, FunAudioLLM/Fun-ASR-Nano-2512-hf, HeartMuLa/HeartCodec-oss-20260123, HeartMuLa/HeartMuLa-oss-3B, HeartMuLa/HeartMuLaGen, IndexTeam/IndexTTS-2, IndexTeam/IndexTTS-2.5, ASLP-lab/MeanVC2, OpenBMB/VoxCPM2, OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano, OpenMOSS-Team/MOSS-Audio-Tokenizer-v2, OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5, OpenMOSS-Team/MOSS-TTS-Nano-100M, Qwen/Qwen3-ASR-0.6B, Qwen/Qwen3-ASR-1.7B-hf, Qwen/Qwen3-ForcedAligner-0.6B, Qwen/Qwen3-TTS-12Hz-0.6B-Base, Qwen/Qwen3-TTS-12Hz-1.7B-Base, Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice, Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign, Qwen/Qwen3-TTS-Tokenizer-12Hz, ResembleAI/chatterbox, RMSnow/Vevo2, bosonai/higgs-audio-v3-stt, bosonai/higgs-audio-v3-tts-4b, k2-fsa/OmniVoice, kyutai/pocket-tts, llm-jp/llm-jp-3-150m
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 2026-09-17T06:35:01.183Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.