local-llama-tts

# Local Llama TTS Synthesize speech locally using `llama-tts` and the `OuteTTS-1.0-0.6B` model. ## Usage You can use the wrapper script: - `scripts/tts-local.sh [options] "<text>"` ### Options - `-o, --output <file>`: Output WAV file (default: `output.wav`) - `-s, --speaker <file>`: Speaker reference file (optional) - `-t, --temp <value>`: Temperature (default: `0.4`) ## Scripts - **Location:** `scripts/tts-local.sh` (inside skill folder) - **Model:** `/data/public/machine-learning/models/text-to-speach/OuteTTS-1.0-0.6B-Q4_K_M.gguf` - **Vocoder:** `/data/public/machine-learning/models/text-to-speach/WavTokenizer-Large-75-Q4_0.gguf` - **GPU:** Enabled via `llama-tts`. ## Setup 1. **Model:** Download from [OuteAI/OuteTTS-1.0-0.6B-GGUF](https://huggingface.co/OuteAI/OuteTTS-1.0-0.6B-GGUF/resolve/main/OuteTTS-1.0-0.6B-Q4_K_M.gguf?download=true) 2. **Vocoder:** Download from [ggml-org/WavTokenizer](https://huggingface.co/ggml-org/WavTokenizer/resolve/main/WavTokenizer-Large-75-Q5_1.gguf?download=true) (Note: Felix uses a Q4_0 version, Q5_1 is linked here as a high-quality alternative). Place files in `/data/public/machine-learning/models/text-to-speach/` or update `scripts/tts-local.sh`. ## Sampling Configuration The model card recommends the following settings (hardcoded in the script): - **Temperature:** 0.4 - **Repetition Penalty:** 1.1 - **Repetition Range:** 64 - **Top-k:** 40 - **Top-p:** 0.9 - **Min-p:** 0.05