Zynerji/Ektome-Qwen2.5-3Bi-PristinelyUncensored
Zynerji/Ektome-Qwen2.5-3Bi-PristinelyUncensored is a 3.1 billion parameter Qwen2.5-3B-Instruct model, developed by Zynerji, that has undergone 'weight-surgery' to remove refusal behaviors without traditional training or fine-tuning. This model maintains its original knowledge and skills while achieving full refusal compliance. It is designed as a clean, uncensored base for further fine-tuning, preserving generative quality and instruction-following capabilities.
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Ektome-Qwen2.5-3Bi-PristinelyUncensored Overview
This model, developed by Zynerji, is a 3.1 billion parameter variant of Qwen/Qwen2.5-3B-Instruct. Its core innovation lies in the "Ektome" method, a weight-surgery technique that directly excises the model's refusal direction from its activations. This process involves zero training and zero fine-tuning, ensuring that the model's original knowledge, skills, and stylistic properties remain intact.
Key Characteristics & Differentiators
- Pristinely Uncensored: Achieves 100% refusal compliance by surgically removing the refusal reflex, not by retraining.
- Preserved Capabilities: Rigorous gating ensures that the removal of refusal does not degrade MMLU accuracy, instruction-following, or introduce issues like code-switching or degeneration.
- Clean Fine-tuning Base: Provided in
bf16 safetensorsformat, it is ideal as a base model for further fine-tuning, as its hidden states remain readable and uncompromised by quantization. - No Training Data Used: The Ektome method operates purely on the model's existing weights and activations, without requiring any new training data or gradient steps.
Ideal Use Cases
- Developers seeking a fully uncensored base model for specialized applications.
- Projects requiring a model with preserved original capabilities but without built-in refusal mechanisms.
- As a starting point for custom fine-tuning where a clean, unadulterated foundation is critical.