---
license: apache-2.0
library_name: transformers
tags:
- mlx
- open4bits
base_model: Qwen/Qwen3-14B-Base
pipeline_tag: text-generation
---
Here’s a professional **GitHub-ready `README.md`** for **Open4bits/Qwen3-14B-Base-MLX-FP16**:

---

# 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.

---

## 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.

---

## 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.

---

## 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

---

## 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

---

## 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.

---

## 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.