LLaMa2lang is a convenient script for fine-tuning LLaMa2-7b into a chat model for a specific language. It uses the Huggingface Open Assistant dataset as the base data and uses the OPUS translation model to fully translate it into the target language. Then, the translated dataset is converted into the input format for the chat model using LLaMa2's prompt format. Finally, LLaMa2-chat is fine-tuned using QLoRA and PEFT. By using LLaMa2lang, you can create a LLaMa2 model suitable for chatting in any non-English language.