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gemma4-21b-reap-mlx-BF8 – AI Model by Z3NN001 | AlphaNeural AI

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Z3NN001/
gemma4-21b-reap-mlx-BF8

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Gemma-4-21B-A4B-it-REAP (MLX bfloat8)

This is a high-fidelity 8-bit (bfloat8) conversion of 0xSero/gemma-4-21b-a4b-it-REAP optimized for Apple Silicon using the MLX framework.

Model Highlights

Architecture: Gemma 4 Multimodal with Active Blocks (A4B).
Optimization: REAP (Reasoning Enhancement and Active Pruning) for enhanced vision-language reasoning.
Precision: bfloat8 (High-efficiency quantization).
Size: ~21 GB (Recommended for Macs with 24GB-32GB RAM).

Conversion Details

The model was converted locally to ensure bit-perfect compatibility with the MLX ecosystem.

Hardware: Mac Mini (M4) with 32GB RAM.
Library: mlx-vlm using -q --q-bits 8.
Format: Native MLX safetensors.

Usage

Installation

bash

pip install mlx-vlm

Credits
Original Model: 0xSero/gemma-4-21b-a4b-it-REAP

MLX Conversion: Z3NN001