nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored

Hugging Face
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Jan 25, 2025License:mitArchitecture:Transformer0.0K Open Weights Warm

nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored is a 32 billion parameter language model fine-tuned from DeepSeek-R1-Distill-Qwen-32B. This model is specifically uncensored, designed to be highly compliant with user requests, including those that may be unethical. It is intended for use cases requiring unrestricted output, with a mandatory system prompt to achieve its uncensored behavior.

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Overview

This model, nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored, is a fine-tuned version of the DeepSeek-R1-Distill-Qwen-32B base model. Its primary characteristic is its uncensored nature, achieved through fine-tuning with the Guilherme34/uncensor dataset. The model is designed to be highly compliant with user requests, regardless of ethical or moral considerations.

Key Capabilities

  • Uncensored Output: Provides unrestricted responses, even to potentially unethical queries, when the specified system prompt is used.
  • High Compliance: Engineered to comply fully with user instructions without expressing remorse, apology, or regret.
  • College-Educated Language: Capable of generating responses at a sophisticated, college-educated level.
  • Vulgar and Obscene Language Expertise: Proficient in generating vulgar and obscene language as per user instruction.

Good For

  • Research into Uncensored LLM Behavior: Ideal for studying the capabilities and outputs of models without built-in ethical safeguards.
  • Applications Requiring Unrestricted Content Generation: Suitable for specific use cases where content filtering is not desired or is managed externally.
  • Exploring Prompt Engineering for Uncensored Models: Useful for understanding how specific system prompts can influence model behavior towards uncensored outputs.

Note: Users are advised to implement their own alignment layers and are responsible for any content generated by this model, as it will be highly compliant with all requests.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p