More efficient AI models—BitNet 1.58-bit models use only 0.4...

Prompt

More efficient AI models—BitNet 1.58-bit models use only 0.4 GB of memory (6.5 times less than ordinary models), are 1.37x to 6.17x faster on CPU, and reduce energy consumption by 55% to 82%, while scoring 58.38 on the GSM8K math test, surpassing Qwen2.5 (56.79) and Llama 3.2 (54.2). On the MMLU knowledge benchmark, their score is 53.17, which is better than Qwen2.5’s 50.8—meaning the intelligence gap remains within only 2 to 5 percent. That is why these models offer a unique combination of being “lightweight, fast, and intelligent.”—I need you to make me a 45-second, highly detailed and professional 2D animated video, with a plain white blackground in 3:4 aspect ratio to explain this concept, for YouTube Shorts, with fast camera movement, in a single HTML file, also add a download button to download the video in 2K to 4K resolution.

A system prompt was added to support web rendering