Llama

Llama is a series of large language models developed by Meta. The evidence references Llama in the context of fine-tuning frameworks like LLaMA-Factory, indicating it is a foundational model used for training and adaptation. Users deploy local versions of Llama via tools like Ollama, which allows self-hosting on personal machines. The models are used to build local chatbots and support local AI applications without relying on cloud-based services. The evidence shows developers are using Llama through Ollama to run local LLMs in production and for personal projects.

The evidence shows Llama is being used as a base model in local LLM deployments, with developers using Ollama to install and run it on their machines. Articles discuss building local chatbots with Ollama and deploying LLMs in production using Docker, indicating practical adoption. A comparison framework includes LLaMA-Factory, suggesting Llama remains a key model in fine-tuning workflows. These developments reflect a shift toward local, self-hosted AI, driven by privacy and control concerns. The trend is supported by hands-on tutorials and deployment guides, showing real-world usage in development workflows.