New Mistral Small 3.2 in 24B Multi-modal Power Punch - Install and Test Locally
AI Summary
This video reviews and demonstrates how to install and use the Mistl small 3.2, a 24 billion parameter instruction-tuned language model by Mistrol AI. The model represents an update from the previous 3.1 version with improved instruction following accuracy (84.78% vs 82.75%) and a significant reduction in repetitive generation errors. It supports enhanced function calling and multimodal capabilities for vision and text processing. The presenter installs the model on an Ubuntu system with an Nvidia H100 GPU and runs through various tests such as language translation, brain teaser reasoning, purpose finding, math problem solving with the Babylonian method, and code generation of a NodeJS CLI app. They also demonstrate the model’s function calling ability and multimodal features by processing images including detailed descriptions, OCR, and location identification. Some minor errors are noted, but overall the model is praised for its performance and coherence in responses. The video includes tips on renting GPUs and links to resources like the Hugging Face model card. Viewers are encouraged to subscribe and like if they found the content useful.