georgesung

Overview Fine-tuned OpenLLaMA-7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset (originally from ehartford/wizardvicuna70kunfiltered). Used QLoRA for fine-tuning. Trained for one epoch on a 24GB GPU (NVIDIA A10G) instance, took ~18 hours to train. Prompt style The model was trained with the following prompt style: Training code Code used to train the model is available here. Demo For a Gradio chat application using this model, clone this HuggingFace Space and run it on top of a GPU instance. The basic T4 GPU instance will work. Blog post Since this was my first time fine-tuning an LLM, I also wrote an accompanying blog post about how I performed the training :)