Add README to every folder — guided tour for reviewers

Each folder now explains what's inside, why it matters,
and what to look at first. Teacher-friendly navigation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

colab_notebooks/README.md

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+# 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