Update README.md

README.md

@@ -4,10 +4,44 @@ base_model:
 tags:
 - mlx
 ---
+# Mistral7B-v0.1-4bit-mlx-LoRA-WikiSQL
+
+A 4-bit LoRA-fine-tuned Mistral-7B model for WikiSQL tasks, via Apple’s MLX framework and the `lora.py`. 
 
-# mistral7b-v0.1-4bit-mlx-lora-wikisql
 This model was converted to MLX format from [`Hinova/mistral-7B-v0.1-4bit-mlx`]().
 Refer to the [original model card](https://huggingface.co/Hinova/mistral-7B-v0.1-4bit-mlx) for more details on the model.
+
+---
+
+## 🚀 Overview
+
+This model was trained using the MLX Examples LoRA tutorial:
+
+- Fine-tuning based on `lora.py` (ml-explore/mlx-examples/lora)  
+- Adapted Mistral-7B on the WikiSQL dataset  
+- Applied low-rank ΔW adapters with LoRA, freezing base weights  
+- Quantized to 4-bit for Apple Silicon efficiency  
+- Packaged in MLX format for seamless inference via `mlx-lm`
+
+---
+
+## 📦 Model Files
+
+| File              | Description                                        |
+|-------------------|----------------------------------------------------|
+| `weights.npz`     | Fused weights: base + LoRA adapters               |
+| `config.json`     | Model config with quantization metadata            |
+| `tokenizer.model` | SentencePiece tokenizer for Mistral-7B            |
+
+---
+
+## 💡 How to Use
+
+### Install
+
+```bash
+pip install mlx-lm
+
 ## Use with mlx
 ```bash
 pip install mlx