christopherthompson81/MOSS-TTS-v1.5-GGUF
text-to-speech model by christopherthompson81
From the publisher
Model card & documentation
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Self-contained GGUF packages of OpenMOSS-Team/MOSS-TTS-v1.5, for audio.cpp. Each file carries the 8B delay-pattern backbone, the MOSS-Audio-Tokenizer v1 codec (both encoder and decoder, because cloning needs the encoder), the tokenizer and the model spec — nothing else to download. q4k is usable and clones as well as the others — but it is not lossless on the words. Across four takes of the same sentence at different seeds, one substituted an article ("the" for "this"); q80 was exact on all four. Two independent ASR models agree on that substitution, so it is the audio and not a transcription artifact. Four takes of one sentence is a small sample and the true rate is not pinned down by it. Treat q4k as the option for when 9.3 GB versus 13.2 GB decides whether the model runs at all, and prefer q80 when it fits. All three clone the reference equally well —…
Read the full model card ↗ · Preview checked 2026-09-21T07:16:40.138Z
Inside the original model card — Document outline
- MOSS-TTS-v1.5 — GGUF for audio.cpp
- On q4k
- Usage
- ⚠ Voice-attribute instructions are not reliably followed
- What works
- Provenance
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
christopherthompson81/MOSS-TTS-v1.5-GGUF is a text-to-speech model repository published by christopherthompson81 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-21T06:20:01.000Z
- Last modified
- 2026-09-21T06:36:09.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: OpenMOSS-Team/MOSS-TTS-v1.5, OpenMOSS-Team/MOSS-Audio-Tokenizer
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 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.