brainstorming
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
Skills entdecken
Entwicklung · SKILL.md
local-v15-streaming
local-v15-streamingOperate MOSS-TTS Local Transformer v1.5 batch and realtime streaming decode workflows.
Independent GitHub snapshot · Automated classification · Original documentation governs
Skill-Dokumentation
GitHubname: local-v15-streaming description: "Operate MOSS-TTS Local Transformer v1.5 batch and realtime streaming decode workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0
local-v15-streaming
Use this sub-skill when the task is about MOSS-TTS-Local-Transformer-v1.5 local batch inference, realtime streaming decode, browser streaming app operation, 48 kHz stereo codec-v2 audio, device/dtype split, token or duration estimates, continuation prompts, or voice-clone prompts.
Route elsewhere
- MOSS-TTS-Realtime voice-agent model, realtime conversation, or live voice-agent serving:
../realtime-voice-agent/SKILL.md. - Generic Hugging Face family prompts, non-v1.5 model-family usage, or router-level model choice:
../hf-family-workflows/SKILL.md. - Fine-tuning, dataset preparation, manifests, or training local v1.5:
../finetuning-data-prep/SKILL.md. - SoundEffect v2 generation or diffusion sound-effect workflows:
../soundeffect-v2/SKILL.md.
Minimum operating facts
- Checkpoint:
OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5. - Codec/tokenizer:
OpenMOSS-Team/MOSS-Audio-Tokenizer-v2. - Audio format: 48 kHz stereo; decoded tensors are normally
[2, samples]. - Frame topology: 12.5 frames/sec, 12 RVQ layers, time-synchronous local-transformer frames.
- Backbone: Qwen3-4B-derived local transformer release.
- Default audio sampling for the app: temperature
1.7, top-p0.8, top-k25, repetition penalty1.0.
Use the bundled references
- Batch inference, web streaming launch, mode semantics, and prompt patterns:
references/batch-and-streaming.md. - Python/CLI/app API fields and event contracts:
references/api-reference.md. - Failure modes and fixes:
references/troubleshooting.md. - Safe no-model estimate helper:
scripts/estimate_local_v15_tokens.py.
Before claiming a v1.5 workflow is correct, verify that the runtime reports the expected sample rate (48000), RVQ depth (12), and stereo channel count, and that final output includes a WAV, audio-token dump, and metadata JSON in the configured output location.