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Ronald Tse
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index: tha-g2p-small-1.0-int4 (202MB MatMulNBits client rung)
Same run-003 student, blockwise 4-bit graphs: parity cer_delta 0.0734pp over 600 samples (int4 limit 3.0pp); CER vs gold 2.90pp vs int8's 2.73pp — 0.17pp quality for 55MB smaller. Client crystals only: the Ruby gem's bundled ORT cannot execute MatMulNBits.
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‎models.yaml‎

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@@ -105,6 +105,19 @@ models:
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- {name: per_teacher, value: 4.43, source: interscript/interscript-ml docs/RESULTS.md#tha-g2p-small-1.0}
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- {name: per_student, value: 12.06, source: interscript/interscript-ml docs/RESULTS.md#tha-g2p-small-1.0}
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parity: {samples: 1219, cer_delta: 0.0803}
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tha-g2p-small-1.0-int4:
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task: g2p
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scripts: [Thai, IPA]
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precision: int4
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filename: tha-g2p-small-1.0-int4.zip
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url: https://github.com/interscript/interscript-ml/releases/download/tha-g2p-small-1.0/tha-g2p-small-1.0-int4.zip
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sha256: e5d12a3d65c6ac39fa08f52c975c99ff7a51c3e7b7aca7fbb461d2de2345e4cb
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size: 201958073
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metrics:
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- {name: per_teacher, value: 4.43, source: interscript/interscript-ml docs/RESULTS.md#tha-g2p-small-1.0}
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- {name: per_student, value: 12.06, source: interscript/interscript-ml docs/RESULTS.md#tha-g2p-small-1.0}
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parity: {samples: 600, cer_delta: 0.0734}
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license: BSD-3-Clause
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heb-diac-small-1.0:
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task: diacritization
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scripts: [Hebr, Hebr]

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