Update README.md

README.md

@@ -8,6 +8,23 @@ datasets:
 Fine-tuned [OpenLLaMA-7B](https://huggingface.co/openlm-research/open_llama_7b) with an uncensored/unfiltered Wizard-Vicuna conversation dataset [ehartford/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/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.
 
+# Prompt style
+The model was trained with the following prompt style:
+```
+### HUMAN:
+Hello
+
+### RESPONSE:
+Hi, how are you?
+
+### HUMAN:
+I'm fine.
+
+### RESPONSE:
+How can I help you?
+...
+```
+
 # Training code
 Code used to train the model is available [here](https://github.com/georgesung/llm_qlora).