tiondoubl/Dolphin-Mistral-24B-Venice-Edition
Dolphin-Mistral-24B-Venice-Edition is a 24 billion parameter Mistral-based language model developed by tiondoubl in collaboration with Venice.ai, featuring a 32768 token context length. This model is specifically designed to be highly steerable and uncensored, allowing users complete control over system prompts and alignment for diverse applications. It aims to provide a general-purpose AI alternative that prioritizes user control over data and ethical guidelines, making it suitable for businesses requiring custom AI behavior.
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Overview
Dolphin-Mistral-24B-Venice-Edition is a 24 billion parameter language model, a collaborative effort between tiondoubl and Venice.ai. It is built upon the Mistral architecture and features a substantial 32768 token context window. The primary goal of this model is to offer an uncensored and highly steerable AI, giving users full control over its behavior and alignment through system prompts. It is designed to be a general-purpose model, similar to commercial offerings like ChatGPT, Claude, and Gemini, but with a focus on empowering businesses and developers by eliminating external control over system prompts, model versions, and alignment.
Key Differentiators
- Uncensored Nature: Developed to be the most uncensored version of Mistral 24B, allowing for broad application without imposed ethical or safety guidelines.
- User Control: Unlike many commercial LLMs, Dolphin-Mistral-24B-Venice-Edition grants users complete authority over the system prompt and alignment, ensuring the model adheres to user-defined rules and tones.
- Data Privacy: Users maintain full control and privacy of their data, as the model does not impose external data usage policies.
- Stability: Offers control over model versions, preventing unexpected changes or deprecations that could impact business applications.
Recommended Usage
This model is particularly well-suited for use cases where:
- Custom Alignment is Crucial: Businesses need an AI that can be precisely aligned to specific brand voices, ethical guidelines, or application requirements without external interference.
- Unrestricted Content Generation: Applications require the ability to generate content across a wide spectrum without built-in censorship or content filters.
- Data Sovereignty is Paramount: Users need assurance that their queries and data remain private and are not used by third parties.
- System Prompt Flexibility: Developers require the ability to define complex system prompts to dictate the model's character, mood, and behavioral rules.
For optimal performance, a relatively low temperature (e.g., temperature=0.15) is recommended during inference. The model maintains Mistral's default chat template and is compatible with frameworks like vLLM.