Complete guide to running Kimi K2.5 (1000B parameters) locally on your own hardware. This guide covers VRAM requirements at every quantization level (Q4_K_M, Q5_K_M, Q6_K, Q8_0, FP16), compatible GPUs, expected inference speed in tokens per second, and recommended Ollama settings.
Kimi K2.5 is one of the most popular open-source LLMs with 3,380,000 HuggingFace downloads. Use the full Kimi K2.5 model page for detailed benchmarks, quantization comparison, and run commands.