Fredithefish/Guanaco-7B-Uncensored
Guanaco-7B-Uncensored is a 7 billion parameter language model developed by Fredithefish, fine-tuned for 4 epochs on the Unfiltered Guanaco Dataset using Llama-2-7b as its base. This model is designed to provide uncensored responses without content filtering or denials. It primarily supports English language interactions and has a context length of 4096 tokens.
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Guanaco-7B-Uncensored Overview
Guanaco-7B-Uncensored is a 7 billion parameter language model created by Fredithefish, built upon the Llama-2-7b base model. It has undergone fine-tuning for 4 epochs using the V2 of the Unfiltered Guanaco Dataset.
Key Capabilities
- Uncensored Responses: Designed to generate answers without content filtering or denials, providing direct responses to user prompts.
- English Language Focus: Optimized for performance in English, with limited support for other languages.
- Base Model: Utilizes the robust Llama-2-7b architecture.
Use Cases
This model is suitable for applications requiring direct and unfiltered responses, where the absence of content moderation is a primary requirement. Developers should note its English-centric performance when considering multilingual applications.
Prompt Format
Users should adhere to the following prompt template for optimal interaction:
### Human: {prompt} ### Assistant: