--- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - eldritch - llama - trl --- # Llama3 Fine-Tuned on Novel Continuation Dataset Model Logo ## Overview This model, `llama-3.1-novel`, has been fine-tuned on a dataset containing over 10,000 records of novel text, specifically designed for the task of text continuation. The fine-tuning process was accelerated using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library, achieving faster training times. - **Developed by:** Eldritch - **License:** Apache-2.0 - **Fine-tuned from model:** `unsloth/meta-llama-3.1-8b-bnb-4bit` ## Dataset Details The dataset used for fine-tuning can be accessed [here](https://huggingface.co/datasets/Eldritch/epic-novels). It includes the following columns: - **Instruction**: A prompt or instruction guiding the continuation of the novel. - **Input**: An excerpt from the novel serving as the starting point for continuation. - **Output**: The continuation of the novel, following the input text, as per the instruction. ### Language - English ### Tags - Text Generation - Transformers - Eldritch - Llama - TRL ### Size Category - 10,000 < n < 100,000 ## Model Usage This fine-tuned Llama3 model demonstrates strong capabilities in generating coherent and stylistically consistent continuations for novel excerpts. It is particularly useful for: - **Creative Writing Assistance**: Generating novel ideas and story continuations. - **Narrative Exploration**: Exploring different narrative possibilities. - **Educational Tools**: Teaching narrative structure and creative writing techniques. ### Accessing the Model The model can be accessed and utilized through the Hugging Face Model Hub at [Eldritch/llama-3.1-novel](https://huggingface.co/Eldritch/llama-3.1-novel). The Hugging Face Transformers library can be used to load and interact with the model. ## License This model and the associated dataset are distributed under the Apache-2.0 License. For more details, please refer to the license file. ## Acknowledgements Special thanks to the authors and publishers of the novels included in the dataset, whose works have been instrumental in developing this model. ## Contact For any inquiries or issues, please contact [Your Name] at [Your Contact Information]. [](https://github.com/unslothai/unsloth)