A collection of resources about open source AI models, specifically focusing on Large Language Models (LLMs) such as DeepSeek and Mistral. This compilation offers comprehensive insights into the development, functionality, and applications of these advanced AI systems. Key themes include the architecture and training methodologies of LLMs, their performance benchmarks, ethical considerations in open source AI, and case studies demonstrating their real-world applications.