MiMo Audio Tokenizer (encoder only) -- GGUF

GGUF conversion of the encoder from XiaomiMiMo/MiMo-Audio-Tokenizer for use with CrispStrobe/CrispASR.

Available variants

File Quant Size Notes
mimo-tokenizer-q4_k.gguf Q4_K 377 MB Encoder + RVQ codebooks

Model details

  • 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 โ†’ RVQ tokens). Decoder/vocoder (TTS reconstruction) excluded.
  • Used as the first stage of MiMo-V2.5-ASR pipeline (tokenizer โ†’ LLM)

Provenance and EU AI Act Art. 53 note

  • Upstream model: XiaomiMiMo/MiMo-Audio-Tokenizer โ€” 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 โ€” where it is documented at all โ€” 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.
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