Create README.md

README.md

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+---
+license: other
+datasets:
+- georgesung/wizard_vicuna_70k_unfiltered
+---
+
+# Overview
+Fine-tuned [Llama-3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with an uncensored/unfiltered Wizard-Vicuna conversation dataset.
+Used QLoRA for fine-tuning.
+
+The model here includes the fp32 HuggingFace version, as well as a [4-bit q4_0 gguf version](https://huggingface.co/georgesung/llama3_8b_chat_uncensored/resolve/main/llama3_8b_chat_uncensored_q4_0.gguf?download=true).
+
+# 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).
+
+To reproduce the results:
+```
+git clone https://github.com/georgesung/llm_qlora
+cd llm_qlora
+pip install -r requirements.txt
+python train.py configs/llama3_8b_chat_uncensored.yaml
+```
+
+# Fine-tuning guide
+https://georgesung.github.io/ai/qlora-ift/