Architecture: 32-layer transformer encoder (1280d, 20 heads) + Conv1d stem + 20 RVQ codebooks
Parameters: ~600M (encoder only, decoder/vocoder excluded)
Audio: 24kHz input, outputs RVQ tokens at 25 Hz (8 channels used by ASR)
License: MIT
Source: XiaomiMiMo/MiMo-Audio-Tokenizer

Notes

Only the encoder is included (waveform → RVQ tokens). Decoder/vocoder (TTS reconstruction) excluded.
Used as the first stage of MiMo-V2.5-ASR pipeline (tokenizer → LLM)

Provenance and EU AI Act Art. 53 note

Upstream model: XiaomiMiMo/MiMo-Audio-Tokenizer — published by XiaomiMiMo.
Upstream licence: mit. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.