## Motivation
Human evaluations consistently prefer the English model at temperature
**0.3** over the current default **0.7**, and the change is free on
every objective axis we measured.
# Add int8 dynamic quantization
Closes#7
## Summary
This PR implements mixed-precision int8 dynamic quantization for
pocket-tts, as requested in issue #7. It adds a `quantize=True` flag to
`TTSModel.load_model()` that reduces runtime memory usage by ~48% and
improves inference speed by ~27% on x86 and up to 23% on ARM, with no
measurable impact on audio quality.
-modify main,py to not hardcode using DEFAULT_VARIANT
-allow submission of path string to path of variant.yaml file saved in
custom directory in lieu of model variant identifier in CLI to use when
loading model
-addresses #57
Quality of life improvement to save user voice embedding as a
.safetensors file that can be loaded for subsequent use, achieving the
same efficiency as the predefined voices, all via the existing
get_state_for_audio_prompt function.
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Co-authored-by: Václav Volhejn <8401624+vvolhejn@users.noreply.github.com>
Manu Orsini