v0_8/run.sh to prepare a sherpa-onnx compatible model directory from
the upstream Hugging Face assets:1cd scripts/kitten-tts/v0_8
2python3 -m pip install numpy onnx
3./run.sh KittenML/kitten-tts-nano-0.8-fp32
4./run.sh KittenML/kitten-tts-nano-0.8-int8
5./run.sh KittenML/kitten-tts-micro-0.8
6./run.sh KittenML/kitten-tts-mini-0.8voices.bin preserves all v0.8 reference rows. The ONNX metadata
marks v0.8 models with version=8, end_id=10, add_pad_after_end=1, and
max_token_len=400 so the runtime selects the same style row as upstream.
Use package directories like kitten-mini-en-v0_8,
kitten-micro-en-v0_8, kitten-nano-en-v0_8-fp32, or
kitten-nano-en-v0_8-int8.