Selected AI models from the previous graph will appear here.
IA Models
Here you can find AI Models for local use (text, image, audio, video...), as well as their cloud versions.
Here you can find AI Models for local use (text, image, audio, video...), as well as their cloud versions.
Vivago
Model parameters are the learned weights inside an AI model that determine how it processes data and produces outputs. More parameters usually mean higher capacity and better performance, but also higher memory and compute requirements. Fewer parameters make the model faster and lighter, but potentially less accurate or capable.
Selected AI models from the previous graph will appear here.
Quantization is a technique used to reduce the size of an AI model by lowering the precision of its weights and computations (fewer bits per parameter). This makes the model much smaller, faster, and easier to run on limited hardware, but it comes with a trade-off: reduced numerical precision can slightly degrade accuracy and overall performance compared to the original full-precision model.