granite-3.2-8b-instruct-abliterated

granite-3.2-8b-instruct-abliterated

huihui-ai

An uncensored 8B parameter variant of IBM's Granite-3.2 instruction model, modified using abliteration to remove content restrictions

PropertyValue
Base ModelIBM Granite-3.2-8B-Instruct
Parameter Count8 Billion
Model TypeInstruction-tuned Language Model
Hugging Facehuihui-ai/granite-3.2-8b-instruct-abliterated

What is granite-3.2-8b-instruct-abliterated?

This model is a modified version of IBM's Granite-3.2-8B-Instruct model that has been processed using abliteration techniques to remove content restrictions and refusal responses. It represents a proof-of-concept implementation for creating unrestricted versions of language models without using TransformerLens technology.

Implementation Details

The model employs a specialized abliteration process to modify the original IBM Granite model's behavior regarding content filtering. It's designed to be easily deployable through Ollama, allowing straightforward integration into various applications.

  • Built on the foundation of IBM's Granite-3.2-8B-Instruct model
  • Implements custom abliteration techniques for removal of content restrictions
  • Optimized for deployment through Ollama platform
  • Maintains the base model's 8B parameter architecture

Core Capabilities

  • Unrestricted content generation and responses
  • Maintains original model's instruction-following capabilities
  • Direct integration with Ollama platform
  • Enhanced freedom in content generation compared to base model

Frequently Asked Questions

Q: What makes this model unique?

This model stands out for its implementation of abliteration techniques to remove content restrictions from the original IBM Granite model, offering a proof-of-concept for creating unrestricted language models without complex tooling.

Q: What are the recommended use cases?

The model is best suited for applications requiring unrestricted content generation and research purposes where content filtering might be limiting. Users should exercise appropriate judgment and responsibility when deploying the model.

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