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  library_name: transformers
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- tags: []
 
 
 
 
 
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  ---
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  # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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  ## Model Details
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  ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
 
 
 
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]
 
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  library_name: transformers
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+ datasets:
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+ - cwestbrook/lotrdata
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+ language:
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+ - en
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+ base_model:
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+ - deepseek-ai/DeepSeek-R1
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  # Model Card for Model ID
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+ This LLM is an OpenSeek R1 fine-tuned using the LoRA method on text extracted from JRR Tolkien's The Lord of the Rings.
 
 
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  ## Model Details
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  ### Model Description
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+ This LLM is an OpenSeek R1 fine-tuned using the LoRA method on text extracted from JRR Tolkien's The Lord of the Rings. The model can be prompted with a stub, for example "Frodo looked up and saw", and will then generate a story in the style of Tolkien's writing that continues from this stub. Have fun!
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+ If you have played with OpenSeek R1, you have almost certainly noticed that at times the reasoning model seems to get caught up in a loop. This behavior is also seen here: for example, two characters will get caught in a looping dialog. I believe this is more of a property of DeepSeek R1 than this LoRA, and better results may yet be achieved through a model specific to prose and storytelling. However, I wanted to get an idea of how the new DeepSeek models perform, and this has been a fantastic learning experience.
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ - **Developed by:** Christian Westbrook
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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  - **Model type:** [More Information Needed]