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>
25 lines
1.1 KiB
Markdown
25 lines
1.1 KiB
Markdown
# Colab Notebooks — Training & Merge Scripts
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10 files containing the Google Colab notebooks and scripts used to train, merge, and deploy CyberRanger models.
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## What's Here
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| File | Purpose |
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|------|---------|
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| `RangerBot_V5_Colab_Trainer-V1.ipynb` | First Colab trainer |
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| `RangerBot_V5_Colab_Trainer-V2.ipynb` | Improved trainer |
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| `RangerBot_V5_Colab_Trainer_ULTRA.ipynb` | Optimised trainer |
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| `CyberRanger_Titan_PFC_Bridge_V1.ipynb` | Prefrontal Cortex bridge experiment |
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| `COLAB_V20_TRAIN_AND_CONVERT.py` | V20 training + GGUF conversion |
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| `COLAB_V21_TRAIN_AND_CONVERT.py` | V21 training + GGUF conversion |
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| `COLAB_V22_TRAIN_AND_CONVERT.py` | V22 training + GGUF conversion |
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| `COLAB_MERGE_V19.py` | V19 adapter merge script |
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| `merge_v19_local.sh` | Local merge on Apple Silicon |
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| `merge_v19_to_ollama.py` | Convert merged model to Ollama format |
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## Training Environment
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- **Primary:** Google Colab Pro — H100 80GB / A100 40GB (~€10/month)
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- **Framework:** HuggingFace Transformers + PEFT + Unsloth
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- **QLoRA config:** 4-bit NF4, LoRA rank 64, alpha 128
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