Democratizing AI: Large Language Models Now Accessible to Home Users

Development in the field of Artificial Intelligence is progressing rapidly. While large language models (LLMs) were previously primarily reserved for large companies and research institutions, they are now coming within reach of home users through innovative solutions like prima.cpp. The need for powerful hardware is decreasing, thereby enabling access to advanced AI applications for a wider audience.

prima.cpp: Efficient Use of Limited Resources

Prima.cpp is a distributed inference system that allows running large language models with up to 70 billion parameters on conventional home devices. In contrast to previous solutions, which require powerful GPUs, high RAM/VRAM capacities, and high bandwidths, prima.cpp optimally utilizes the existing resources of a typical home network. The system supports a mix of CPUs and GPUs, manages with low RAM/VRAM, and also works with standard WLAN connections. Cross-platform support enables the integration of various device types, from laptops and desktops to smartphones and tablets.

Innovative Technologies for Optimized Performance

To effectively utilize limited resources, prima.cpp uses "mmap" to manage the model weights and a so-called "piped-ring parallelism" with prefetching to minimize loading times from the hard drive. By considering the heterogeneity in terms of computing power, communication speed, hard drive access, memory capacity, and operating system, the system optimally assigns the model layers to the CPUs and GPUs of the individual devices. This significantly reduces the latency per token. A specially developed algorithm called "Halda" solves the complex allocation problem, which is considered NP-hard in computer science.

Convincing Performance Compared to Established Solutions

Tests on a typical home cluster with four nodes show that prima.cpp significantly outperforms established solutions like llama.cpp, exo, and dllama with models over 30 billion parameters. At the same time, memory usage remains below 6%. This allows advanced models like Llama 3, DeepSeek R1, Qwen 2.5, and QwQ to be used on home devices, making AI applications such as private chatbots or smart assistants accessible to a wider audience.

Outlook: AI for Everyone

Prima.cpp is an important step towards the democratization of AI. Through the efficient use of existing hardware and cross-platform support, it enables access to powerful language models for a wide audience. The open-source nature of the project promotes further development and offers potential for numerous innovative applications in the home environment.

Bibliographie: https://huggingface.co/papers https://www.reddit.com/r/LocalLLaMA/comments/1fu8ujh/serving_70bscale_llms_efficiently_on_lowresource/ https://arxiv.org/abs/2410.00531 https://www.aibase.com/repos/topic/distributed-ai https://www.aibase.com/repos/topic/on-device-llms https://news.ycombinator.com/item?id=41730983 https://arxiv.org/html/2410.00531v1 https://www.reddit.com/r/singularity/comments/1ac982w/unbelievable_run_70b_llm_inference_on_a_single/ https://news.ycombinator.com/item?id=38508571