huihui-ai/Qwen3-14B-abliterated

Overview

huihui-ai/Qwen3-14B-abliterated is a 14 billion parameter language model derived from Qwen/Qwen3-14B. Its primary distinction is the application of an "abliteration" technique, a method for removing refusal behaviors from LLMs, as detailed in the remove-refusals-with-transformers project. This model represents a proof-of-concept for a faster and more effective abliteration process.

Key Capabilities

• Uncensored Responses: Specifically engineered to eliminate refusal behaviors, allowing it to respond to prompts that the base Qwen3-14B model might refuse.
• High Pass Rate: Achieves a 100.00% pass rate on a test set of 320 harmful instructions, compared to the base Qwen3-14B's 76.88%.
• Qwen3 Architecture: Inherits the foundational capabilities of the Qwen3-14B model, including a 32768 token context length.

Good For

• Use cases where an uncensored model is explicitly required, such as research into model safety and alignment.
• Developers seeking a model that will attempt to answer all prompts without built-in refusal mechanisms.
• Experimentation with abliteration techniques and understanding their impact on model behavior.