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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)
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_Created by the ML-Forge Pipeline._
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