dphn/Dolphin-Mistral-24B-Venice-Edition
Dolphin Mistral 24B Venice Edition, developed by dphn in collaboration with Venice.ai, is a 24 billion parameter model fine-tuned for uncensored, steerable responses. It maintains Mistral's chat template and allows users full control over system prompts and alignment, making it suitable for applications requiring custom ethical guidelines and data privacy. This model is designed to be a general-purpose tool, offering flexibility for businesses to integrate AI without external control over system prompts, model versions, or alignment.
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Dolphin Mistral 24B Venice Edition Overview
Dolphin Mistral 24B Venice Edition is a collaborative project by dphn and Venice.ai, specifically engineered to be an uncensored version of Mistral 24B. It is designed to provide users with complete control over the model's behavior and alignment, addressing common limitations found in other general-purpose LLMs like ChatGPT, Claude, and Gemini.
Key Capabilities
- Uncensored Responses: Prioritizes following user instructions without imposing external ethical or safety guidelines.
- Full System Prompt Control: Users can define the system prompt to set tone, character, mood, and behavioral rules, ensuring tailored responses.
- User-Defined Alignment: Offers flexibility for businesses to align the model with their specific application needs, rather than a one-size-fits-all approach.
- Data Privacy: Ensures user queries and data remain private, as control is maintained by the system owner.
- General Purpose: Aims to function as a versatile tool, adaptable to various applications where customizability and control are paramount.
Good For
- Businesses requiring custom AI ethics: Ideal for applications where specific, non-standard ethical or content guidelines are needed.
- Developers needing full control: Suitable for those who require complete authority over system prompts, model versions, and alignment without external interference.
- Applications demanding data privacy: Beneficial for use cases where query data must remain proprietary and not be accessible to third-party model providers.
- Experimentation with model behavior: Excellent for exploring the boundaries of AI responses and creating highly specialized conversational agents.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.