Moss Tts v1.5 GGUF
GGUF conversion of OpenMOSS-Team/MOSS-TTS-v1.5 (MossTTSDelay: a Qwen3-8B backbone emitting 32 RVQ audio codebooks under a delay pattern) + its MOSS-Audio-Tokenizer 1.6B transformer codec, for the CrispASR moss-tts...
Model source
- Kind
- Other
- File size
- 3.31–15.8 GB
- Base model
- OpenMOSS-Team/MOSS-Audio-Tokenizer
- Version
- vMoss tts v1.5 codec
- Updated
- Sep 28, 2026
- Source
- Hugging Face
Source description
MOSS-TTS-v1.5 — GGUF (for CrispASR)
GGUF conversion of OpenMOSS-Team/MOSS-TTS-v1.5
(MossTTSDelay: a Qwen3-8B backbone emitting 32 RVQ audio codebooks under a delay
pattern) + its MOSS-Audio-Tokenizer
1.6B transformer codec, for the CrispASR
moss-tts backend.
Files
| File | What | Size |
|---|---|---|
moss-tts-v1.5-q4_k.gguf | Q4_K backbone (default; audio tables kept F16) | ~7 GB |
moss-tts-v1.5-f16.gguf | F16 backbone (needs >20 GB VRAM or CPU; for re-quant) | ~17 GB |
moss-tts-v1.5-codec.gguf | F16 transformer codec companion | ~3.5 GB |
Use
crispasr --backend moss-tts -m moss-tts-v1.5-q4_k.gguf \
--codec-model moss-tts-v1.5-codec.gguf \
--tts "Hello world." --tts-output out.wav
# or: crispasr --backend moss-tts -m auto --auto-download --tts "..."
Validated on CUDA (P100) by decoded round-trip (synthesize → ASR): the Q4_K backbone produces intelligible, accurate speech end-to-end.
License
Apache-2.0, inherited from the base MOSS-TTS-v1.5 + MOSS-Audio-Tokenizer models (OpenMOSS-Team). This repo redistributes derived GGUF weights under the same terms.
Provenance and EU AI Act Art. 53 note
- Upstream model: OpenMOSS-Team/MOSS-TTS-v1.5 — published by
OpenMOSS-Team. - Upstream licence:
apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
- Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
- Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.
Sources
1 source
Sources
1 sourceVerified Aug 7
Model artifacts
5 artifacts
Model artifacts
5 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: apache-2.0 base_model: - OpenMOSS-Team/MOSS-TTS-v1.5 - OpenMOSS-Team/MOSS-Audio-Tokenizer library_name: gguf pipeline_tag: text-to-speech tags: [tts, gguf, crispasr, moss-tts] --- # MOSS-TTS-v1.5 — GGUF (for CrispASR) GGUF conversion of [`OpenMOSS-Team/MOSS-TTS-v1.5`](https://huggingface.co/OpenMOSS-Team/MOSS-TTS-v1.5) (MossTTSDelay: a Qwen3-8B backbone emitting 32 RVQ audio codebooks under a delay pattern) + its [`MOSS-Audio-Tokenizer`](https://huggingface.co/OpenMOSS-Team/MOSS-Audio-Tokenizer) 1.6B transformer codec, for the [CrispASR](https://github.com/CrispStrobe/CrispASR) `moss-tts` backend. ## Files | File | What | Size | |------|------|------| | `moss-tts-v1.5-q4_k.gguf` | Q4_K backbone (default; audio tables kept F16) | ~7 GB | | `moss-tts-v1.5-f16.gguf` | F16 backbone (needs >20 GB VRAM or CPU; for re-quant) | ~17 GB | | `moss-tts-v1.5-codec.gguf` | F16 transformer codec companion | ~3.5 GB | ## Use ```bash crispasr --backend moss-tts -m moss-tts-v1.5-q4_k.gguf \ --codec-model moss-tts-v1.5-codec.gguf \ --tts "Hello world." --tts-output out.wav # or: crispasr --backend moss-tts -m auto --auto-download --tts "..." ``` Validated on CUDA (P100) by decoded round-trip (synthesize → ASR): the Q4_K backbone produces intelligible, accurate speech end-to-end. ## License Apache-2.0, inherited from the base MOSS-TTS-v1.5 + MOSS-Audio-Tokenizer models (OpenMOSS-Team). This repo redistributes derived GGUF weights under the same terms. ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [OpenMOSS-Team/MOSS-TTS-v1.5](https://huggingface.co/OpenMOSS-Team/MOSS-TTS-v1.5) — published by `OpenMOSS-Team`. - **Upstream licence:** `apache-2.0`. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - **What was done here:** format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs. - **Training data:** documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here. - **Provide...
Source context: 2078 downloads · 0 likes · Pipeline text-to-speech · Library gguf · Repo cstr/moss-tts-v1.5-GGUF
