<img width="578" height="325" src="https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?w=578" class="attachment-single-feed size-single-feed wp-post-image" alt="on-device llm" decoding="async" fetchpriority="high" srcset="https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg 1200w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=300,169 300w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=768,432 768w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=800,450 800w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=400,225 400w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=750,422 750w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=578,325 578w, https://venturebeat.com/wp-content/uploads/2024/11/on-device-llm.jpg?resize=930,523 930w" sizes="(max-width: 578px) 100vw, 578px">A smart combination of quantization and sparsity allows BitNet LLMs to become even faster and more compute/memory efficient<a href="https://venturebeat.com/ai/how-microsofts-next-gen-bitnet-architecture-is-turbocharging-llm-efficiency/" target="_blank">Read More</a>