--- license: llama3 language: - en pipeline_tag: text-generation --- # Instruct_Llama3_8B Fine-tuned from Llama-3-8B, using a wide variety of sources for the dataset. 84.9% for training, 15% validation, 0.1% test. Trained for 2 epochs using QDora. Trained with 4096 context window. # Model Details * **Trained by**: trained by [Brillibits](https://brillibits.com/en). See [YouTube](https://www.youtube.com/@Brillibits) as well. * **Model type:** **Instruct_Llama3_8B** is an auto-regressive language model based on the Llama 3 transformer architecture. * **Language(s)**: English * **License for Instruct_Llama3_8B**: llama3 license # Prompting ``` [SYS] {system prompt or blank space} [/SYS] [INST] {instruction} [/INST] {response} ``` ## Professional Assistance This model and other models like it are great, but where LLMs hold the most promise is when they are applied on custom data to automate a wide variety of tasks If you have a dataset and want to see if you might be able to apply that data to automate some tasks, and you are looking for professional assistance, contact me [here](mailto:blake@brillibits.com)