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.

Thank you for developing with Llama models. As part of the Llama 3.1 release, we’ve consolidated GitHub repos and added some additional repos as we’ve expanded Llama’s functionality into being an e2e ...

Vance, who Trump tasked with getting his Cabinet confirmed, “quickly made it clear to his team, legislative affairs staffers and others in the White House: Time to call off the dogs,” writes our ...

For many of us, the idea of running advanced AI models like Llama 3.2 Vision locally on our own devices feels like a fantastic option. Whether you’re a professional looking to streamline ...

Radxa has posted instructions to run DeepSeek R1 (Qwen 1.5B) on Rockchip RK3588 boards with AI acceleration using the ...

Watch Midday Maryland weekdays. It's WMAR's LOCAL lifestyle show. Our host Elsa M. will be showcasing everything that Maryland has to offer. From Maryland hotspots, to tips and tricks from local ...

NEW CORRIDORS COLUMN — “The GOP’s Reluctant Cutter-in-Chief,” by Rachael Bade: “For all his bluster about ‘government ...

This year’s list includes plenty of startups focused on AI. But you'll also see health care companies, real estate tech ...

As part of their AI threat research, Cisco security researchers share new vulnerabilities and adversarial techniques that ...

AMD has published benchmarks of DeepSeek's AI model with its flagship RX 7900 XTX that show the GPU outperforming both the ...