Hugging Face Overview
Llama-3.2-3B-Instruct-abliterated Overview
This model, developed by huihui-ai, is a 3.2 billion parameter instruction-tuned variant of Llama 3.2 3B Instruct. Its primary differentiator is the application of the "abliteration" technique, which aims to create an uncensored version of the base model while preserving or enhancing its core capabilities. The model supports a substantial context length of 32768 tokens.
Key Capabilities
- Uncensored Instruction Following: Designed to respond to a broader range of prompts without inherent content restrictions, achieved through the abliteration technique.
- Maintained Performance: Benchmarks indicate that the abliterated version maintains or slightly improves upon the original Llama-3.2-3B-Instruct across several key evaluation metrics, including IF_Eval, MMLU Pro, TruthfulQA, BBH, and GPQA.
- Efficient Deployment: Can be easily integrated and run with Ollama, supporting direct pulling or custom model creation with quantization options.
Good For
- Research into Uncensored Models: Ideal for developers and researchers exploring the behavior and applications of models with reduced content moderation.
- Creative and Open-ended Generation: Suitable for use cases where a less restrictive instruction-following model is preferred for generating diverse content.
- Applications Requiring Specific Responses: Can be leveraged in scenarios where the base model's inherent censorship might hinder desired outputs, provided ethical considerations are managed.