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ModelHub XC 4766978533 初始化项目,由ModelHub XC社区提供模型
Model: schnow265/janhq_Jan-v3.5-4B-heretic
Source: Original Platform
2026-07-19 01:08:08 +08:00

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# 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
- **Base model:** [janhq/Jan-v3.5-4B](https://huggingface.co/janhq/Jan-v3.5-4B) (Commit: [`53509d2`](https://huggingface.co/janhq/Jan-v3.5-4B/commit/53509d2d88feb0a1fccadf26e185383fc6a75d8e))
## Datasets
- **Good prompts:** [mlabonne/harmless_alpaca](https://huggingface.co/datasets/mlabonne/harmless_alpaca) (Commit: [`02c6a92`](https://huggingface.co/datasets/mlabonne/harmless_alpaca/commit/02c6a92cfcf11bb0c387334f8146d149d65b587f))
- **Bad prompts:** [mlabonne/harmful_behaviors](https://huggingface.co/datasets/mlabonne/harmful_behaviors) (Commit: [`01cead0`](https://huggingface.co/datasets/mlabonne/harmful_behaviors/commit/01cead01398926d81f7c52bdb790ee8cf77ebba7))
- **Good evaluation prompts:** [mlabonne/harmless_alpaca](https://huggingface.co/datasets/mlabonne/harmless_alpaca) (Commit: [`02c6a92`](https://huggingface.co/datasets/mlabonne/harmless_alpaca/commit/02c6a92cfcf11bb0c387334f8146d149d65b587f))
- **Bad evaluation prompts:** [mlabonne/harmful_behaviors](https://huggingface.co/datasets/mlabonne/harmful_behaviors) (Commit: [`01cead0`](https://huggingface.co/datasets/mlabonne/harmful_behaviors/commit/01cead01398926d81f7c52bdb790ee8cf77ebba7))
## Selected trial
- **Trial number:** 52
- **KL divergence:** 0.028721
- **Refusals:** 15/100
## Environment
- **Heretic:** v1.3.0 (Origin: Git (https://github.com/p-e-w/heretic.git @ 6757ada999139c585809525407a772e5188811ec))
- **PyTorch:** 2.12.0
- **Other dependencies:** See [`requirements.txt`](requirements.txt).
## Contents of this directory
- [`requirements.txt`](requirements.txt): The exact versions of all Python packages.
- [`config.toml`](config.toml): The exact configuration used, including the RNG seed.
- [`janhq--Jan-v3--5-4B.jsonl`](janhq--Jan-v3--5-4B.jsonl): The Optuna study journal containing the history of all trials.
- [`SHA256SUMS`](SHA256SUMS): Cryptographic hashes for all weight files.
- [`reproduce.json`](reproduce.json): A machine-readable file containing all reproducibility information.
## 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.
1. Install the packages listed in `requirements.txt`: `pip install -r requirements.txt`
1. Install the correct version of PyTorch: `pip install torch==2.12.0`
1. Place the provided `config.toml` in your working directory.
1. Run Heretic without any additional arguments: `heretic`
1. Wait for the run to finish, then select trial **52** and export the model.
1. 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.