This is a GGUF trained on Meta-Llama-3-8B-Instruct, with its dataset consisting of a large number of AI-generated conversation examples. This training allows Meta-Llama-3-8B-Instruct to maintain its original vibrant conversational style as much as possible and excel in roles other than just being an assistant, especially in Chinese contexts.
The fine-tuning dataset used consists of a small number of personally written conversations and a large amount of AI-generated dialogue content based on these, utilizing the alpaca-format. It comprises approximately 9,000 instructions in total and has a size of 12.6MB.
Using UnsothAI's "Alpaca + Llama-3 8b Unsloth 2x faster finetuning.ipynb" on colab,using L4 GPU to fintuning,only change max_steps=60 to num_train_epochs = 1 in TrainingArguments