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krut42/voice-sage95m-fp16
voice-sage95m-fp16 is a machine learning model from krut42. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
FP16 ONNX export of ai-forever/sage-fredt5-distilled-95m (SAGE Russian spelling correction, FRED-T5 distilled 95M) for on-device transcript polishing in the «Диктофон» voice-recorder app.
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Updated Jul 7, 2026
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.onnx260 MB · 99%
From the Hugging Face model README
FP16 ONNX export of ai-forever/sage-fredt5-distilled-95m (SAGE Russian spelling correction, FRED-T5 distilled 95M) for on-device transcript polishing in the «Диктофон» voice-recorder app.
Replaces the earlier int8 export: ONNX Runtime's int8 MatMulInteger kernel
crashes natively (SIGILL/SIGSEGV) at inference on some ARM phone CPUs
(i8mm/dotprod path). FP16 uses ordinary MatMul kernels that don't depend on
those instructions, at ~2x the int8 size but a fraction of fp32.
Files (encoder + no-KV-cache decoder, matching the app's greedy decode loop):
encoder_model.onnx (~98 MB)decoder_model.onnx (~162 MB, no KV cache)vocab.json, merges.txt - GPT-2 byte-level BPE (FRED-T5), unchanged.Special tokens: BOS <LM>=50357, EOS </s>=2, decoder start <pad>=0.
License: MIT (inherited from the base model).