Qwen3-4B-Computer-Science-MLX-BF16

Qwen3-4B-Computer-Science-MLX-BF16

An Apple MLX BF16 version of Qwen3-4B-Computer-Science, optimized for high-quality local inference on Apple Silicon Macs.

This repository contains a native MLX conversion of the original model using bfloat16 (BF16) precision, providing maximum inference quality while leveraging Apple's unified memory architecture.

Base Model

• Base repository: Irfanuruchi/Qwen3-4B-Computer-Science
• Architecture: Qwen3-4B
• Format: MLX
• Precision: BF16 (bfloat16)

Features

• Native Apple MLX format
• Optimized for Apple Silicon (M-series)
• Full BF16 precision
• High-quality local inference
• Compatible with mlx-lm

Installation

python3 -m venv .venv
source .venv/bin/activate

pip install mlx mlx-lm

Usage

mlx_lm.generate \
  --model Irfanuruchi/Qwen3-4B-Computer-Science-MLX-BF16 \
  --prompt "Write a Python function that validates an IPv4 address." \
  --max-tokens 256

Model Information

License

This repository is released under the Apache 2.0 License.

The original Qwen3 model is licensed under Apache 2.0. This repository contains an MLX BF16 conversion of the original weights.

Acknowledgements

• Alibaba Qwen Team
• Apple MLX
• Hugging Face