ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
ICEPVP8977/Uncensored_llama_3.2_3b_safetensors is a 3.2 billion parameter Llama-based causal language model fine-tuned by ICEPVP8977. This model was specifically trained on 'uncensored' datasets, including 'Uncensored_mini', to produce less restricted outputs. It is designed for use cases where a less constrained response style is desired, offering a distinct alternative to models with built-in censorship.
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Model Overview
ICEPVP8977/Uncensored_llama_3.2_3b_safetensors is a 3.2 billion parameter language model, fine-tuned by ICEPVP8977. This model is based on the Llama architecture and has been specifically trained using a combination of 'uncensored' datasets available on Hugging Face, including 'Uncensored_mini'. The primary goal of this fine-tuning was to reduce inherent censorship, allowing for less restricted and more direct responses.
Key Characteristics
- Architecture: Llama-based causal language model.
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Data: Fine-tuned on 'uncensored' datasets to modify response behavior.
Intended Use Cases
This model is suitable for applications where the user explicitly seeks a language model with minimal content restrictions. Developers might consider this model for:
- Generating content without typical safety filters.
- Exploring the boundaries of language model responses.
- Specific research into uncensored language generation.
Important Considerations
The creator notes that while the model aims to be uncensored, they personally found the result "too toxic," preferring models that maintain a level of respect without being overly limited. Users should be aware of the potential for generating highly unfiltered or offensive content when using this model.