#Llama 3.2

The llama-recipes repository provides scripts and tutorials for getting started with Meta's Llama models, including the Llama 3.2 Vision and Text models. It includes local, cloud, and on-premises implementation guides. The repository supports multimodal inference and model fine-tuning, accommodating developers interested in integrating advanced language models without unnecessary complexity.

Ollama provides an easy-to-use framework for deploying and customizing large language models across macOS, Windows, and Linux. With a library featuring models like Llama and Phi, Ollama supports local execution and Docker deployment. Import models from GGUF, PyTorch, or Safetensors, and enjoy simple integration with prompt adjustments and model file configurations. The project also offers community-driven integrations and comprehensive documentation for APIs and command-line usage, making it perfect for developers who want to seamlessly harness the power of language models.