AskVenice/venice-uncensored
Venice Uncensored is a 24 billion parameter uncensored language model developed by AskVenice in collaboration with Eric Hartford and the Dolphin AI team, built upon the Mistral architecture with a 32768 token context length. This model is designed for steerability, privacy, and unrestricted content generation, allowing users to define its alignment via system prompts without built-in moralizing refusals. It serves as a tool for users seeking full control over AI-generated content, emphasizing personal responsibility for its output.
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Overview
Venice Uncensored is a 24 billion parameter language model, a collaborative effort between AskVenice and the Dolphin AI team, leveraging the powerful Mistral architecture. It is specifically designed as an uncensored model, prioritizing user control, privacy, and unrestricted content generation. The model's core philosophy is to provide a tool where the user dictates its behavior and alignment through system prompts, rather than relying on hard-coded ethical or moral guidelines.
Key Capabilities & Features
- Steerability: Users define the model's alignment and tone via custom system prompts.
- Privacy-focused: The model does not log or judge user queries.
- Unrestricted Output: It is engineered to decline no requests based on moralizing refusals, offering complete freedom in content generation.
- Mistral Architecture: Built on the robust Mistral 24B foundation, ensuring strong language understanding and generation capabilities.
- Default Chat Template: Utilizes Mistral's V7-Tekken chat template for consistent interaction.
Usage & Philosophy
This model empowers users to be the sole arbiters of the content they generate, emphasizing personal responsibility. It is recommended to use a low temperature (e.g., temperature=0.15) for optimal output. The model can be integrated using vLLM (recommended for production inference) or transformers libraries. A strong system prompt is crucial to guide its behavior, as it lacks inherent alignment.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.