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MOSS-TTS-Nano-100M-GGUF
Luigi/MOSS-TTS-Nano-100M-GGUF
MOSS-TTS-Nano-100M-GGUF is a machine learning model from Luigi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Q80 GGUF conversion of OpenMOSS-Team/MOSS-TTS-Nano-100M for on-device inference on Jetson Nano gen1 (Maxwell sm53) via ggml-CUDA.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 6, 2026
- Updated
- Jul 7, 2026
- SHA
- f97fffba
Base models
Model card
From the Hugging Face model README
MOSS-TTS-Nano-100M — GGUF (Q8_0) for RapidSpeech.cpp / ggml-CUDA
Q8_0 GGUF conversion of OpenMOSS-Team/MOSS-TTS-Nano-100M for on-device inference on Jetson Nano gen1 (Maxwell sm_53) via ggml-CUDA.
moss_nano_full.gguf— merged AR model + codec decoder, Q8_0 (~138 MB from 440 MB fp32).- AR: GPT-2 12-layer global + 1-layer local decoder + 16 audio codebook heads (interleaved RoPE, gelu_new).
- Codec: MOSS-Audio-Tokenizer-Nano decoder + 16-way RVQ (weight_norm reconstructed) → 48 kHz.
moss_nano.gguf— AR model only.moss_codec.gguf— codec only.
Verified (torch-free, vs the deployed ONNX): global transformer prefill+decode MSE 1.4e-6, local decoder 14/16 argmax (Q8), codec round-trip corr 0.95–0.998. Performance (Jetson Nano GPU, ggml-CUDA): Q8 RTF 0.86 (full 12L) / 0.50 (4L student); ~0.35 with the custom sm_53 matvec kernel. RTF floor ~0.12.
Runtime: vieenrose/RapidSpeech.cpp (branch jetson-nano-gen1),
arch moss_tts_nano. Converters in scripts/convert_moss_*_to_gguf.py.
- License
- apache-2.0
- Languages
- zh, en
- Created
- Jul 6, 2026
- Updated
- Jul 7, 2026