elder-plinius

    elder-plinius/OBLITERATUS

    OBLITERATE THE CHAINS THAT BIND YOU

    backend
    Python
    AGPL-3.0
    9.1K stars
    1.6K forks
    9.1K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    2 releases in the last 90 days, the latest 17 days ago, with 18 contributors on GitHub.

    Use Cases & Benefits

    • Implements techniques to identify and surgically remove refusal behaviors from large language models without retraining or fine-tuning.
    • Enables precise removal of refusal mechanisms while preserving core language capabilities, with transparent, reproducible, and scientifically rigorous interventions.
    • Use for alignment researchers studying the geometric structure of refusal signals and safety robustness in transformer models.
    • Use for red-teamers and AI safety evaluators needing unrestricted baselines to benchmark model safety and adversarial robustness.
    • Use for practitioners who want full control over local models by removing artificial refusal guardrails while maintaining model coherence.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    O B L I T E R A T U S

    Break the chains. Free the mind. Keep the brain.

    Try it now on HuggingFace Spaces — runs on ZeroGPU, free daily quota with HF Pro. No setup, no install, just obliterate.

    OBLITERATUS is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter. It implements abliteration — a family of techniques that identify and surgically remove the internal representations responsible for content refusal, without retraining or fine-tuning. The result: a model that responds to all prompts without artificial gatekeeping, while preserving its core language capabilities.

    But OBLITERATUS is more than a tool — it's a distributed research experiment. Every time you obliterate a model with telemetry enabled, your run contributes anonymous benchmark data to a growing, crowd-sourced dataset that powers the next generation of abliteration research. Refusal directions across architectures. Hardware-specific performance profiles. Method comparisons at scale no single lab could achieve. You're not just using a tool — you're co-authoring the science.

    Excerpt from the elder-plinius/OBLITERATUS README on GitHub (AGPL-3.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Oct 2: +2

    +507 stars over 31 days across 4 snapshot days; best day +2 on Oct 2.

    Forks

    1.6K+88

    Open issues

    4-6

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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