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.

./scripts/setup.sh

2. Prepare Data

Pulls bndis/regex_instructions from Hugging Face and cleans it.

source config.sh
uv run python scripts/data_prep.py

3. Train

Starts the LoRA training session (1000 iterations, Rank 16).

./scripts/train.sh

4. Publish

Fuses weights, creates GGUFs, and pushes to HF, Ollama, and Kaggle.

./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.