Core ML: drop the fp32 variant, fp16 is equivalent in task terms

NOTES: correct the availability-history claim

Remove MLX artifacts: 7.5-19.6x slower than Core ML on device

Add per-backend config

Add mlx export (ExecuTorch 1.4.1, fork toolchain)

Add stub root config.json for HF download counter

Add spec-compliant config.json files

Add spec-compliant config.json files

Remove old-layout metadata orphaned by MODEL_SPEC.md restructure

Update README

Update models. Add quantized models.

Update .gitattributes

Delete xnnpack/fsmn-vad_xnnpack.pte

Upload fsmn-vad_xnnpack.pte

Update README.md

Update README.md

Update README.md

Create config.json

Update README.md

Upload models

initial commit