KTransformers: Running Ultra-Large LLMs on Consumer Hardware

💻 KTransformers: Running Ultra-Large LLMs on Consumer Hardware

The KTransformers framework allows you to run and fine-tune models with 100B+ parameters on consumer hardware by using CPU RAM to offload the GPU. Optimization via kt-kernel ensures high performance even on a single RTX 5090.

🌍 This technology lowers the barrier to entry for working with top-tier MoE (Mixture-of-Experts) models, allowing for efficient inference and fine-tuning without expensive server-grade GPU clusters.

👤 It is now possible to run powerful neural networks, such as DeepSeek, directly on a home PC by leveraging a combination of the graphics card and the processor.

Source 1: https://ktransformers.net/en Source 2: https://github.com/kvcache-ai/ktransformers