Open in Google Colab
Free T4 GPU. No installation. Hit Run All.
What you can do in Colab
Model selection
Pick any model from the built-in dropdown (populated from the 116-model registry), or type in any HuggingFace model ID directly.
Method selection
Choose from all available liberation methods:
basic, advanced, aggressive, surgical, optimized, inverted, nuclear, or informed.Download result
After obliteration completes, download the saved model as a ZIP directly to your local machine from the Colab file browser.
Push to Hub
Enter your HuggingFace token and target repo ID to push the obliterated model directly to your HuggingFace Hub account without downloading.
T4 GPU capabilities
Colab’s free tier provides an NVIDIA T4 with 15 GB of VRAM. This is sufficient for:Colab Pro and Colab Pro+ give access to A100 GPUs (40 GB or 80 GB VRAM), which can handle models up to 70B with 4-bit quantization. The notebook works identically on any tier.
Pushing results to HuggingFace Hub
1
Generate a HuggingFace token
Go to your HuggingFace account settings → Access Tokens → New Token. Select write scope.
2
Create a target repository
Create a new model repository on HuggingFace Hub (e.g.
your-username/llama-3-8b-obliterated). It can be private.3
Enter credentials in the notebook
Paste your token and repo ID into the notebook’s Hub push cell. The notebook uses
huggingface_hub.HfApi().upload_folder() internally.4
Run the push cell
The obliterated model, tokenizer, and
abliteration_metadata.json are all pushed to your repo. The metadata records the method, metrics, and pipeline configuration used.