prithivMLmods/VibeThinker-3B-heretic_decensored

VibeThinker-3B-heretic_decensored: Abliterated Reasoning Model

This model, developed by prithivMLmods, is a 3.1 billion parameter language model derived from WeiboAI/VibeThinker-3B, which itself is based on Qwen/Qwen2.5-Coder-3B. Its core differentiator is the application of the Heretic abliteration toolkit, which uses refusal-direction analysis and targeted weight-space interventions to significantly reduce internal refusal behaviors.

Key Capabilities & Features

• Reduced Refusal Behavior: Engineered to minimize internal refusal tendencies, as demonstrated by a reduction from 64/100 refusals in the original model to 6/100 in this version.
• Preserved Reasoning: Maintains the strong mathematical, coding, and STEM reasoning capabilities inherited from the VibeThinker training pipeline.
• Efficient 3B Architecture: Offers a compact 3-billion-parameter size suitable for local inference and resource-constrained environments.
• Uncensored Output: Due to the abliteration process, the model may generate sensitive or unrestricted content, making it suitable for specific research into model behavior.

Intended Use Cases

• Alignment Research: Ideal for studying refusal-direction analysis, behavior modification techniques, and the impact of reduced internal refusal mechanisms.
• Model Evaluation: Useful for benchmarking reasoning, instruction-following, and safety-related behaviors under altered refusal conditions.
• Red Teaming: Provides a tool for analyzing model responses in scenarios where typical safety filters are minimized.
• Mathematical, Coding, and STEM Research: Continues to offer strong performance in these domains for specialized evaluations.

Important Note: This model is strictly for research and learning. Users assume full responsibility for its outputs due to intentionally reduced refusal mechanisms. It is experimental and may exhibit unexpected behaviors.