ranger
d770ca89d5
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>
1.1 KiB
1.1 KiB
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