Venice Role Play Uncensored

• 🎭 Built for immersive roleplay, character interaction, and open-ended creative writing.
• 📏 Handles a 128,000-token context window for long, evolving stories.
• 👁️ Adds vision input alongside function-calling and web-search capabilities.
• 🔒 Offered on Venice's privacy-oriented AI platform.
• 🔧 Served at fp8 quantization for efficient inference.
• 🆕 Released February 2026 on Venice.ai.
• 🌐 Accessible through the Venice API.
• 🎯 Tuned toward narrative and character-driven scenarios rather than general assistance.

Venice

Venice is a privacy-focused AI platform that develops its own in-house models alongside hosting third-party offerings. The organization emphasizes uncensored, unrestricted text generation as a core design principle, building models specifically tuned to…

Venice Role Play Uncensored is a text model offered through Venice.ai, a privacy-oriented platform that hosts uncensored AI models. According to Venice's own description, this model is optimized for creative roleplay, designed for immersive storytelling, character interactions, and open-ended creative writing with maximum freedom.

Feature-wise, it carries a 128,000-token context window and is served at fp8 quantization, and its listed capabilities include vision input, function-calling, and web-search. The large context is useful for roleplay scenarios, where long sessions need to maintain a story's foundations and persona behavior over many turns.

Venice's broader "Uncensored" lineup includes the general-purpose siblings Venice Uncensored 1.2 and Venice Uncensored 1.1, both 24-billion-parameter text models. Those are framed as default conversational models, whereas Role Play Uncensored is tuned specifically toward narrative and character-driven scenarios rather than general assistance.

No independent benchmark results or a published model card with parameter counts were available for this specific model at the time of writing, so its underlying base and parameter count remain unstated in primary sources. Access is available through the Venice platform and the Venice API.