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Mimo Tokenizer GGUF

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

TipoOtherModelo baseXiaomiMiMo/MiMo-Audio-TokenizerVersiónRevision fa380f4Bcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
377 MB
Modelo base
XiaomiMiMo/MiMo-Audio-Tokenizer
Versión
vRevision fa380f4
Actualizado
19 sept 2026
Descargas
689
Fuente
Hugging Face

Descripción de la fuente

MiMo Audio Tokenizer (encoder only) -- GGUF

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

Available variants

FileQuantSizeNotes
mimo-tokenizer-q4_k.ggufQ4_K377 MBEncoder + 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 → 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión fa380f4c49a8e8c62c02c00d0da5e263fc5b0dcf
huggingface.co/cstr/mimo-tokenizer-GGUF/tree/fa380f4c49a8e8c62c02c00d0da5e263fc5b0dcf

Verificado 15 ago

Artefactos del modelo

1 artefacto

mimo-tokenizer-q4_k.gguf

gguf · 377 MB · SHA-256 3f3a903b1029…0e3f · Hugging Face

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Extractos de fuentes

2 extractos

--- license: mit pipeline_tag: audio-to-audio tags: - audio - speech - gguf - tokenizer - rvq library_name: ggml base_model: XiaomiMiMo/MiMo-Audio-Tokenizer --- # MiMo Audio Tokenizer (encoder only) -- GGUF GGUF conversion of the **encoder** from [`XiaomiMiMo/MiMo-Audio-Tokenizer`](https://huggingface.co/XiaomiMiMo/MiMo-Audio-Tokenizer) for use with **[CrispStrobe/CrispASR](https://github.com/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`](https://huggingface.co/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](https://huggingface.co/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.

Source context: 689 downloads · 0 likes · Pipeline audio-to-audio · Library ggml · Repo cstr/mimo-tokenizer-GGUF