FWIW this RCLI is only MIT license but their engine MetalRT is commercial. Not sure the license of their models I guess also not MIT. So IMHO this repo is misleading.
Not sure why they decided to reinvent the wheel and write yet another ML engine (MetalRT) which is proprietary. I would most likely bet on CoreML since it have support for ANE (apple NPU) or MLX.
Other popular repos for such tasks I would recommend:
https://github.com/FluidInference/FluidAudio
https://github.com/DePasqualeOrg/mlx-swift-audio
Updating the readme asap - but thanks for the feedback. Also, please checkout few things : https://www.runanywhere.ai/blog/metalrt-speech-fastest-stt-t... https://www.runanywhere.ai/blog/metalrt-fastest-llm-decode-e...
Nice list.
What about for on-device RAG use cases?
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