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Fix i8 variant: keep encoder float32 (quantized encoder was broken)
Verified signatureThe published i8 applied dynamic-range int8 to both signatures; the quantized encoder degrades transcription badly (encoder-state correlation 0.841 vs f32, 12-clip WER 105.9% vs f32 23.9%, repetition loops), as noted on the card. This PR replaces moonshine_tiny_5s_i8.tflite with a rebuild quantized directly from the published f32 file (sha256 16f281f1...) using an ai-edge-quantizer scoped recipe: dynamic_wi8_afp32 everywhere except the encoder ops, which are excluded (NO_QUANTIZE via scope regex 'moonshine\.MoonshineEncoder/'). Measured on the new file: encoder states bit-identical to f32; 12-clip WER 23.0% (f32: 23.9%); word-level divergence from f32 transcripts 2.5%; dense-window greedy tokens identical to f32 on both M4 Max and iPhone 17 Pro; Raspberry Pi 5 5s window 317.7 ms vs 495.3 ms f32 (the int8 decoder keeps the ~1.6x win) with Mac<->Pi transcripts bit-identical on all 12 clips (the previous i8 diverged on 9/12); Apple-silicon speed unchanged. File size 29 MB -> 52 MB (the e…435b7e6
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Add model card: usage script + measured performance (iPhone 17 Pro / M4 Max / Raspberry Pi 5) (#1)
- Add model card: usage script + measured performance (iPhone 17 Pro / M4 Max / Raspberry Pi 5) (f46f74e151c8253f5c86e6e3eef71c32c7d38267) Co-authored-by: Majima <mlboydaisuke@users.noreply.huggingface.co>3008d1a
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