One of the tasks that has been running for the past few hours: distilling an LLM model specifically for SME use, InshaAllah.
We are using a more advanced base model, supported by richer and more comprehensive examples, with the goal of creating a model that is more practical, efficient, and relevant to real SME operations.
Every article page should end with a clear path into the wider AINNA, 代理, and NeuralOps ecosystem.
Linux is the core path, Windows is supported, and Android / Termux works as the companion layer.
curl -fsSL https://masli.bond/install | bash
ainna --version
iwr https://masli.bond/install.ps1 -useb | iex
ainna --version
pkg update && pkg install -y curl unzip
curl -fsSL https://masli.bond/install-android | bash
