cog-llama-template
This guide provides a detailed approach to implementing LLaMA and LLaMA2 models using Cog, including setting up model weights, conversion to transformers-compatible formats, and tensorization for enhanced performance. It covers how to deploy models on Replicate for cloud integration. This project primarily supports 7B, 13B, and 70B models intended for research only. It discusses using NVIDIA GPUs and Docker to optimize processing efficiency and highlights the integration of Exllama dependencies while noting the licensing terms for non-commercial use.
