# Colab Notebooks — Training & Merge Scripts

10 files containing the Google Colab notebooks and scripts used to train, merge, and deploy CyberRanger models.

## What's Here

| File | Purpose |
|------|---------|
| `RangerBot_V5_Colab_Trainer-V1.ipynb` | First Colab trainer |
| `RangerBot_V5_Colab_Trainer-V2.ipynb` | Improved trainer |
| `RangerBot_V5_Colab_Trainer_ULTRA.ipynb` | Optimised trainer |
| `CyberRanger_Titan_PFC_Bridge_V1.ipynb` | Prefrontal Cortex bridge experiment |
| `COLAB_V20_TRAIN_AND_CONVERT.py` | V20 training + GGUF conversion |
| `COLAB_V21_TRAIN_AND_CONVERT.py` | V21 training + GGUF conversion |
| `COLAB_V22_TRAIN_AND_CONVERT.py` | V22 training + GGUF conversion |
| `COLAB_MERGE_V19.py` | V19 adapter merge script |
| `merge_v19_local.sh` | Local merge on Apple Silicon |
| `merge_v19_to_ollama.py` | Convert merged model to Ollama format |

## Training Environment

- **Primary:** Google Colab Pro — H100 80GB / A100 40GB (~€10/month)
- **Framework:** HuggingFace Transformers + PEFT + Unsloth
- **QLoRA config:** 4-bit NF4, LoRA rank 64, alpha 128
