---
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
## 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)