Here’s a professional GitHub-ready README.md for Open4bits/Qwen3-14B-Base-MLX-FP16:

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Open4bits / Qwen3-14B-Base-MLX-FP16

This repository provides the Qwen3-14B Base model converted to MLX format with FP16 precision, published by Open4bits to enable efficient high-performance inference with reduced memory usage and broad hardware compatibility.

The underlying Qwen3-14B model and architecture are developed and owned by the original creators. This repository contains an FP16 precision MLX conversion of the original model weights.

Open4bits has started supporting MLX models to broaden compatibility with emerging quantization formats and efficient runtimes, allowing improved performance on a range of platforms.

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Model Overview

Qwen3-14B Base is a 14-billion parameter transformer-based language model designed for strong general understanding, reasoning, and instruction following. This release uses FP16 precision in MLX format, enabling efficient inference with balanced speed and quality.

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Model Details

• Base Model: Qwen3-14B
• Precision: FP16 (float16)
• Format: MLX
• Task: Text generation, instruction following
• Weight tying: Preserved
• Compatibility: MLX-enabled inference engines and runtimes

The FP16 format provides improved performance and reduced memory consumption compared to full FP32 precision while retaining high generation quality.

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Intended Use

This model is intended for:

• High-performance text generation and conversational applications
• CPU-based or accelerator-supported deployments
• Research, experimentation, and prototyping
• Offline or self-hosted AI systems

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Limitations

• Lower precision compared to non-quantized models
• Output quality depends on prompt design and inference parameters
• Not optimized for highly specialized domain-specific tasks without further fine-tuning

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License

This model follows the Apache 2.0 of the base Qwen3-14B model. Users must comply with the licensing conditions defined by the original model creators.

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Support

If you find this model useful, please consider supporting the project. Your support helps Open4bits continue releasing and maintaining high-quality efficient models for the community.