huihui-ai/Magistral-Small-2506-abliterated

Hugging Face
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:Jun 13, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Gated Warm

huihui-ai/Magistral-Small-2506-abliterated is an uncensored version of the Mistral AI Magistral-Small-2506 model. This model was created using an 'abliteration' technique to remove refusal behaviors, serving as a proof-of-concept for refusal removal without TransformerLens. It is designed for applications requiring an LLM with reduced censorship and refusal tendencies, offering a modified conversational experience.

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Model Overview

huihui-ai/Magistral-Small-2506-abliterated is a modified version of the original Mistral AI Magistral-Small-2506 model. Its primary distinction lies in the application of an "abliteration" technique, which aims to remove refusal behaviors from the large language model. This process is presented as a proof-of-concept for achieving uncensored responses without relying on the TransformerLens library.

Key Characteristics

  • Uncensored Responses: The model has been processed to reduce or eliminate refusal behaviors commonly found in base LLMs.
  • Abliteration Technique: Utilizes a specific method for refusal removal, detailed in the remove-refusals-with-transformers project.
  • Ollama Integration: Directly available for use with Ollama, allowing for easy local deployment and interaction.

Usage and Purpose

This model is intended for developers and researchers interested in exploring LLMs with modified refusal characteristics. It can be loaded and used with the Hugging Face transformers library, supporting 4-bit quantization for efficient deployment. The provided Python script demonstrates how to interact with the model, including options for managing chat history, toggling 'nothink' mode, and controlling sampling parameters. Its main use case is for applications where a less restrictive or uncensored conversational AI is desired, offering insights into the effects of refusal removal techniques.