#Llama-2

Explore diverse AI models in Colab designed for text generation, including renowned models such as Vicuna, GPT-4X, and LLaMA. Access comprehensive guides to seamlessly implement these tools and connect with a thriving community for updates and insights. Utilize these models for research, development, and efficiency optimization. Certain models have specific non-commercial licensing; ensure proper usage rights are reviewed. Engage with the community on Discord and Patreon for further collaboration and assistance.

This project develops Chinese language models based on Llama-2 with an expanded Chinese vocabulary, bringing the Chinese LLaMA-2 and Alpaca-2 models. These models improve performance through incremental training on large Chinese datasets and employ FlashAttention-2 for training efficiency. Supporting up to 64K context length, they enhance semantics and instruction comprehension. RLHF integration allows for alignment with human preferences, reflecting values better. Open-source training and fine-tuning scripts are provided to deploy the models on local devices within the LLaMA ecosystem, enhancing user access and interaction.

The project focuses on efficient large language model training using Quantized LoRA with FSDP, supporting platforms like Axolotl. Installation is tailored for CUDA versions up to 12.1, emphasizing low memory usage and mixed precision. Various training types are available, suitable for models like Llama-2 70B. This alpha aims to refine techniques for better model handling.