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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.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.<LM>=50357, EOS </s>=2, decoder start <pad>=0.
License: MIT (inherited from the base model).