ICEPVP8977/Uncensored_llama_3.2_3b_safetensors

TEXT GENERATIONPricing:Input $0.2036 / Output $1.34Concurrent Unit Cost:1Model Size:3.2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 30, 2024Architecture:Transformer Featherless Exclusive Cold

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.