LLaMA is a large-scale language model published by Meta AI Research, Meta's AI research organization. The number of parameters, which indicates the size of a large-scale language model, is 7 billion ...

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

If you're just getting started with running local LLMs, it's likely that you've been eyeing or have opted for LM Studio and Ollama. These GUI-based tools are the defaults for a reason. They make ...

Jeffrey Hui, a research engineer at Google, discusses the integration of large language models (LLMs) into the development process using Llama.cpp, an open-source inference framework. He explains the ...

What if the future of AI wasn’t in the cloud but right on your own machine? As the demand for localized AI continues to surge, two tools—Llama.cpp and Ollama—have emerged as frontrunners in this space ...

Meta AI, the company that brought you Llama 2, the gargantuan language model that can generate anything from tweets to essays, has just released a new and improved version of its code generation model ...

llama.cpp-omni is a high-performance Omni multimodal inference engine built on llama.cpp. MiniCPM-o 4.5 is a 9B-parameter on-device omni-modal large language model jointly developed by ModelBest and ...

llama.cpp ' that can run AI models locally now supports image input. You can input images and text at the same time to have the machine answer questions such as 'What is in this image?' server : ...