Update README.md

README.md

@@ -6,4 +6,68 @@ tags:
 - open4bits
 base_model: Qwen/Qwen3-14B-Base
 pipeline_tag: text-generation
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+---
+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.