K Transformers: Run Massive LLMs Locally with Low VRAM
Introduction Large language models (LLMs) have revolutionized natural language processing, but deploying them locally has long been considered impractical due to massive hardware requirements. Traditional transformers often demand multiple high-end GPUs with 80GB VRAM each. Quantized versions of large language models provide some improvements but don’t fully unlock the model’s potential. Solutions like Ollama, BitByte,…