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  license: mit
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  short_description: Uncensored R1 Distill
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
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  license: mit
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  short_description: Uncensored R1 Distill
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  ---
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+ # DeepSeek-R1-Distill-Qwen-1.5B Demo
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+ This is a demonstration of the DeepSeek-R1-Distill-Qwen-1.5B-uncensored model, a lightweight 1.5B parameter language model from ThirdEyeAI. Despite its small size, this model can generate coherent text across various topics.
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+
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+ ## Features
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+
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+ - Efficient inference with a small memory footprint
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+ - Adjustable generation parameters (length, temperature, top-p)
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+ - Simple interface for text generation
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+
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+ ## Usage
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+ 1. Enter your prompt in the text box
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+ 2. Adjust generation parameters if desired
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+ 3. Click "Submit" to generate text
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+
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+ ## Model Information
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+ This space runs the DeepSeek-R1-Distill-Qwen-1.5B-uncensored model from ThirdEyeAI. It's a distilled version of the Qwen architecture, optimized for efficiency while maintaining good performance. The model is available on Hugging Face at [thirdeyeai/DeepSeek-R1-Distill-Qwen-1.5B-uncensored](https://huggingface.co/thirdeyeai/DeepSeek-R1-Distill-Qwen-1.5B-uncensored).
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+ ## Limitations
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+ As a small 1.5B parameter model, this LLM has certain limitations:
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+ - Less knowledge than larger models
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+ - More limited reasoning capabilities
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+ - May produce less coherent outputs on complex topics
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+
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+ ## License
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+
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+ [Include license information for your model]
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).