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zipa-small-crctc-ns-no-diacritics-700k-mlx-q8 – AI Model by bearcove | AlphaNeural AI

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bearcove/
zipa-small-crctc-ns-no-diacritics-700k-mlx-q8

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automatic-speech-recognition

anyspeech/zipa-small-crctc-ns-no-diacritics-700k

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ZIPA Small CR-CTC NS No-Diacritics 700k (MLX Q8)

This repository contains an MLX-native Q8 checkpoint bundle for the ZIPA small CR-CTC non-streaming no-diacritics model.

What This Is

Base model family: anyspeech/zipa-small-crctc-ns-no-diacritics-700k
Published repo target: bearcove/zipa-small-crctc-ns-no-diacritics-700k-mlx-q8
Quantization target: MLX Q8
Intended consumer: the Bee repository
Reference implementation: rust/bee-zipa-mlx inside Bee

This is a Bee model bundle. It is not currently intended as a standalone general-purpose MLX package with its own separately published loader crate.

Files

model.safetensors: quantized MLX checkpoint in the zipa-mlx-quantized-v1 format
tokens.txt: CTC vocabulary
config.json: model architecture and quantization metadata

Quantization Scheme

Linear layers are quantized to 8-bit where MLX supports the target group size
Small incompatible projections remain dense inside the checkpoint
Norms, bypass scales, convolution weights, and downsample weights remain dense
Group size: 64

Usage From Bee

Example from a Bee checkout:

bash

cargo run -q -p bee-zipa-mlx --bin zipa-infer -- \
  --quantized-checkpoint /path/to/model.safetensors \
  /path/to/audio.wav

Notes

This bundle was generated from local dense ZIPA reference artifacts and quantized with bee-zipa-mlx
The artifact layout is currently project-specific to Bee
The bundle is currently marked MIT based on the upstream ZIPA repository license and the upstream release statement that code and pretrained models would be released under permissive licenses. This should still be confirmed directly with upstream model authors.