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README.md

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+# Regex-Helper (Powered by ML-Forge)
+
+**Precision Regular Expression Assistant** built using a specialized fine-tuning pipeline.
+
+## 🏗 ML-Forge Workflow
+
+This model is generated using the **ML-Forge** engine, a parameterized automation stack for rapid LLM development.
+
+### 🚀 Rapid Start
+
+Follow these steps to go from zero to a published model:
+
+#### 1. Initialize
+
+Sets up the base Llama 3.2 weight.
+
+```bash
+./scripts/setup.sh
+```
+
+#### 2. Prepare Data
+
+Pulls `bndis/regex_instructions` from Hugging Face and cleans it.
+
+```bash
+source config.sh
+uv run python scripts/data_prep.py
+```
+
+#### 3. Train
+
+Starts the LoRA training session (1000 iterations, Rank 16).
+
+```bash
+./scripts/train.sh
+```
+
+#### 4. Publish
+
+Fuses weights, creates GGUFs, and pushes to HF, Ollama, and Kaggle.
+
+```bash
+./scripts/publish.sh
+```
+
+## 📊 Technical Configuration
+
+Parameters are managed in `config.sh`:
+
+- **Base**: Llama 3.2 3B Instruct
+- **Rank**: 16
+- **Context**: 2048 tokens
+- **Precision**: Q4_K_M (Ollama) / BF16 (HF)
+
 ---
-language: en
-pipeline_tag: text-generation
-library_name: mlx
-tags:
-- mlx
----
+
+_Created by the ML-Forge Pipeline._