This repository contains onnx models derived from Moonshine Tiny ZH.

The ONNX models provide KV-cache decoding with dynamic INT8 quantization, and have been optimized using onnxsim and ONNX Runtime.

moonshine_tiny_zh_decode.bin contains the decode-only tokenizer data in a compact binary format.

This is a derivative work of the original Moonshine Tiny model. It is distributed under the Moonshine AI Community License. See LICENSE.txt and NOTICE.

All integer fields are fixed-width little-endian values. The file layout is:

piece_offsets[id] and piece_lengths[id] point into piece_blob.

The header is 40 bytes and contains, in order:

special_bitset uses one bit per token id to indicate whether the token is a special token. byte_token_ids[b] maps byte b (0x00–0xFF) to the corresponding token ID used by the tokenizer's ByteFallback mechanism. A decoder should build the inverse mapping once during initialization. 0xffffffff means that no mapping exists. 0xffffffff means that no mapping exists.