huihui-ai/QwQ-32B-Preview-abliterated
Hugging Face
TEXT GENERATIONConcurrency Cost:2Model Size:32BQuant:FP8Ctx Length:32kPublished:Nov 28, 2024License:apache-2.0Architecture:Transformer0.1K Open Weights Warm

huihui-ai/QwQ-32B-Preview-abliterated is an uncensored variant of the Qwen/QwQ-32B-Preview model. This model was created using an abliteration technique to remove refusal behaviors, serving as a proof-of-concept for uncensoring LLMs without TransformerLens. It is designed for applications requiring a less restrictive language model, particularly for exploring the effects of refusal removal.

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Overview

huihui-ai/QwQ-32B-Preview-abliterated is an uncensored version of the original Qwen/QwQ-32B-Preview model. This modification was achieved through an "abliteration" process, which is a technique aimed at removing refusal behaviors from large language models. The project serves as a proof-of-concept for uncensoring LLMs without relying on tools like TransformerLens.

Key Capabilities

  • Uncensored Responses: Designed to provide responses without the typical refusal behaviors found in many LLMs.
  • Experimental Abliteration: Demonstrates a method for modifying model behavior by directly altering its internal states or parameters to remove specific characteristics.
  • Ollama Integration: Easily deployable and runnable via Ollama, simplifying local usage and experimentation.

Good For

  • Research and Experimentation: Ideal for researchers and developers interested in model censorship, uncensoring techniques, and the impact of refusal behaviors on LLM outputs.
  • Exploring Model Limitations: Useful for understanding how models are trained to refuse certain prompts and how these mechanisms can be bypassed or altered.
  • Specific Use Cases: Potentially suitable for applications where a less restrictive or more direct response style is preferred, provided ethical considerations are met.
Popular Sampler Settings

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