Files
grok-oss-Apollyon-8B-heretic/reproduce/README.md
ModelHub XC 654aa4b896 初始化项目,由ModelHub XC社区提供模型
Model: Yingyaeliae/grok-oss-Apollyon-8B-heretic
Source: Original Platform
2026-07-14 21:52:15 +08:00

3.3 KiB

Reproduction guide

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

Models

Datasets

Selected trial

  • Trial number: 170
  • KL divergence: 0.005239
  • Refusals: 5/100

Environment

  • Heretic: v1.4.0 (Origin: PyPI)
  • PyTorch: 2.12.0+rocm7.2
  • Other dependencies: See requirements.txt.

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+rocm7.2 --index-url https://download.pytorch.org/whl/rocm7.2
  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 170 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 c4tdr0ut--grok-oss-Apollyon-8B.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.