LLaMA-Cult-and-More
This article explores the features of contemporary large language models, covering their parameters, fine-tuning processes, and hardware needs. It provides impartial post-training alignment advice, featuring efficient libraries and benchmark datasets. The document transitions from pre-training to post-training phases, acting as a neutral resource for LLM alignment and training techniques, and includes insights on multi-modal LLMs and tool utilization.
