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license: apache-2.0
datasets:
  - ehartford/wizard_vicuna_70k_unfiltered

Fine-tuned OpenLLaMA-7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset ehartford/wizard_vicuna_70k_unfiltered. Used QLoRA for fine-tuning. Trained for one epoch on a 24GB GPU (NVIDIA A10G) instance, took ~18 hours to train.

Code used to train the model is available here.

Since this was my first time fine-tuning an LLM, I also wrote an accompanying blog post about how I performed the training :)

https://georgesung.github.io/ai/qlora-ift/