thirdeyeai/DeepSeek-R1-Distill-Qwen-14B-uncensored

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Jan 25, 2025License:mitArchitecture:Transformer0.0K Open Weights Warm

The thirdeyeai/DeepSeek-R1-Distill-Qwen-14B-uncensored model is a distilled version of a DeepSeek-R1 model, based on the Qwen architecture. This model is designed to provide uncensored responses, making it suitable for applications requiring less restrictive content generation. Its primary use case is for general text generation where an uncensored output is preferred.

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Model Overview

This model, thirdeyeai/DeepSeek-R1-Distill-Qwen-14B-uncensored, is a distilled variant derived from a DeepSeek-R1 model, leveraging the Qwen architecture. It is specifically designed to operate without content censorship, offering greater flexibility in response generation compared to models with built-in content restrictions.

Key Characteristics

  • Architecture: Based on the Qwen model family, with distillation from a DeepSeek-R1 model.
  • Censorship: Engineered to provide uncensored outputs, allowing for a broader range of generated content.

Potential Use Cases

  • General Text Generation: Suitable for various text generation tasks where content filtering is not desired.
  • Creative Writing: Can be used for creative applications that benefit from unrestricted language.
  • Research & Development: Useful for exploring model behavior without imposed content constraints.

Limitations

As indicated by the model card, specific details regarding its development, training data, evaluation, and technical specifications are currently marked as "More Information Needed." Users should be aware that comprehensive performance metrics, biases, risks, and detailed usage guidelines are not yet available. It is recommended to exercise caution and conduct thorough testing for any specific application.

Popular Sampler Settings

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

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