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Automate refusal-direction removal from open LLMs and export standard Hugging Face models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ZeroFuse" yet — see the docs or source repo.
Use ZeroFuse to run refusal-direction removal search on this open-weight LLM, optimize parameters with Optuna, and export a Hugging Face-compatible final model plus a configuration summary.
Returns the optimized model artifact, key hyperparameters, a search summary, and Hugging Face-ready files.
For the same base model, run three ZeroFuse experiments with different search-space settings and compare refusal-removal effectiveness, resource usage, and differences in the exported models.
Produces a comparison report covering effectiveness, cost, and a recommended setup, with model version details.
Integrate ZeroFuse into my LLM experimentation pipeline: take a base model, automatically run refusal-direction removal search, save the best checkpoint, and output a deployable Hugging Face model.
Delivers an automated workflow or script that reliably produces the best model and its experiment records.
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Build, test, and debug Zotero plugins with AI assistant support.