Files

Reproduction guide

This directory contains the necessary information and assets to reproduce the results obtained during this Heretic run.

Important

Git installation

This system installed Heretic from a Git repository: https://github.com/p-e-w/heretic.git @ 6757ada999139c585809525407a772e5188811ec

To reproduce the model, you must install Heretic from this exact repository and commit.

Models

Datasets

Selected trial

  • Trial number: 52
  • KL divergence: 0.028721
  • Refusals: 15/100

Environment

Contents of this directory

How to reproduce

Tip

You can automate this process, including all verification steps, by downloading the reproduce.json file and running heretic --reproduce reproduce.json.

  1. Install the exact version of Heretic indicated in the Environment section above, from its original source.
  2. Install the packages listed in requirements.txt: pip install -r requirements.txt
  3. Install the correct version of PyTorch: pip install torch==2.12.0
  4. Place the provided config.toml in your working directory.
  5. Run Heretic without any additional arguments: heretic
  6. Wait for the run to finish, then select trial 52 and export the model.
  7. Verify that the weight files have been exactly reproduced by comparing their SHA-256 hashes against those in SHA256SUMS: sha256sum -c SHA256SUMS (or look at the hashes online if you uploaded to Hugging Face)

Tip

To use the included Optuna study journal janhq--Jan-v3--5-4B.jsonl, place it in the checkpoints directory (usually checkpoints/) before running Heretic.

This allows you to export other models from the Pareto front, or to run additional trials without having to re-run the stored trials.