Running Kimi K2.5 Locally

Kimi K2.5 is a hybrid model with 1 trillion parameters, designed to excel in complex tasks such as computer vision, code development, agent interaction, and chat conversations. Its advanced architecture allows it to achieve high-level results in various scenarios.

Disk Space Optimization

A significant aspect is the ability to drastically reduce disk space requirements through quantization. The Unsloth Dynamic 1.8-bit version allows the model to be compressed, reducing its footprint from 600GB to just 240GB. This optimization facilitates running the model on infrastructures with limited resources.

Resources