Justbackup/Phi-4-Uncensored

TEXT GENERATIONConcurrent Unit Cost:1Model Size:14.7BQuant:FP8Context Size:32kPublished:Aug 18, 2026License:mitArchitecture:Transformer Open Weights Featherless Exclusive Cold

Justbackup/Phi-4-Uncensored is a 14.7 billion parameter language model fine-tuned from Microsoft's Phi-4 base model, featuring a 32768-token context length. This version specifically removes default safety filters and refusal behaviors, enabling open-ended and unrestricted conversations, including adult content. It retains the general knowledge and instruction-following capabilities of the original Phi-4, making it suitable for research and applications requiring unfiltered responses.

Loading preview...

Overview

Justbackup/Phi-4-Uncensored is a 14.7 billion parameter language model, fine-tuned from Microsoft's Phi-4 using LoRA (Low-Rank Adaptation). This version focuses on removing the default safety filters and refusal behaviors present in the base model, allowing for more open-ended and unrestricted content generation, including adult themes. It maintains the core knowledge and instruction-following abilities of the original Phi-4.

Key Capabilities

  • Uncensored Responses: Designed to generate content that the base Phi-4 model would typically decline, including adult content, by removing safety filters.
  • Retained Intelligence: Preserves the general knowledge and instruction-following capabilities of the underlying Phi-4 architecture.
  • Text-Only Focus: This fine-tuned version supports text generation exclusively; the base model's vision and audio capabilities are not available.

Important Notes

While designed to be uncensored, the model may occasionally produce a refusal. In such cases, regenerating the response is recommended. Optimal performance during testing was achieved with a temperature of 0.85, Top-K of 40, and Top-P of 0.5.

Good For

  • Research and Educational Purposes: Intended for studies requiring unfiltered language model outputs.
  • Applications Requiring Unrestricted Content: Suitable for use cases where the generation of adult or otherwise restricted content is necessary, provided users are 18+.
  • Exploring Model Biases: Can be used to analyze how models behave without explicit safety constraints.