Add MOSS-SoundEffect v2 BF16 and Q8 GGUF packages

.gitattributes

@@ -270,3 +270,5 @@ MuLaCover-GGUF/mulacover-f16.gguf filter=lfs diff=lfs merge=lfs -text
 MuLaCover-GGUF/mulacover-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
 Orukeet-GGUF/orukeet-f16.gguf filter=lfs diff=lfs merge=lfs -text
 Orukeet-GGUF/orukeet-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-bf16.gguf filter=lfs diff=lfs merge=lfs -text
+MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

MOSS-SoundEffect-v2-GGUF/README.md

@@ -0,0 +1,71 @@
+---
+library_name: audio.cpp
+license: apache-2.0
+pipeline_tag: text-to-audio
+language:
+- en
+- zh
+base_model:
+- OpenMOSS-Team/MOSS-SoundEffect-v2.0
+tags:
+- audio.cpp
+- gguf
+- sound-effects
+---
+
+# MOSS-SoundEffect v2 GGUF
+
+Follow or star [audio.cpp](https://github.com/0xShug0/audio.cpp) for the native
+inference code and model updates.
+
+Generate sound effects from English or Chinese descriptions, with 48 kHz mono
+output. Each package contains the Qwen3 text encoder, audio diffusion transformer,
+continuous DAC decoder, tokenizer, and embedded model specification.
+
+The upstream checkpoint is
+[OpenMOSS-Team/MOSS-SoundEffect-v2.0](https://huggingface.co/OpenMOSS-Team/MOSS-SoundEffect-v2.0/tree/e35df4d82fbe87fcd5d14e5d100e349c0c3c076d),
+pinned at `e35df4d82fbe87fcd5d14e5d100e349c0c3c076d`.
+The implementation reference is
+[OpenMOSS/MOSS-TTS](https://github.com/OpenMOSS/MOSS-TTS/tree/4cf2dab88fc8711aef93089b3b75c0ae07373e47/moss_soundeffect_v2).
+
+| File | Transformer weights | DAC decoder |
+|---|---|---|
+| `moss-soundeffect-v2-q8_0.gguf` | Q8_0 matrices, F16 embeddings | F32 |
+| `moss-soundeffect-v2-bf16.gguf` | BF16 matrices | F32 |
+
+Timestep embedding, modulation and normalization retain F32, matching upstream.
+The runtime family is `moss_soundeffect`; these packages implement v2.
+
+## Performance
+
+RTX 5090, CUDA, eight CPU threads, offline generation after a short warmup.
+Mean of two different 10-second outputs, using 100 Euler steps, guidance 4,
+shift 5, and the trained 30-second latent window. Python uses the official
+BF16 eager pipeline. Peak VRAM is observed process memory.
+
+| Runtime | RTF | Peak VRAM (MiB) |
+|---|---:|---:|
+| Official Python BF16 | 0.692 | 18,586 |
+| audio.cpp BF16 | 0.999 | 11,347 |
+| audio.cpp Q8_0 | 0.849 | 8,853 |
+
+Q8_0 reduces peak VRAM by about 52% versus Python in this comparison;
+native generation is currently slower. Lower RTF is faster.
+
+## Usage
+
+```bash
+audiocpp_cli --model moss-soundeffect-v2-q8_0.gguf \
+  --family moss_soundeffect --task gen --backend cuda \
+  --text "Steady rain pattering on a wooden roof, with distant thunder." \
+  --request-option duration_sec=10 --out rain.wav --log
+```
+
+Output duration is 0.1–30 seconds, rounded to one decimal. The model always
+denoises its trained 30-second window and crops the resulting waveform.
+The default is 100 Euler steps, guidance scale 4, and seed 0.
+It supports offline generation, not streaming.
+
+See the [model documentation](https://github.com/0xShug0/audio.cpp/blob/main/docs/models/moss_soundeffect.md)
+for request options and conversion instructions. Model weights and upstream code
+are Apache-2.0 licensed.

MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-bf16.gguf

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MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-q8_0.gguf

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