This tutorial guides you through installing and using an inference snap, specifically Qwen 2.5 VL, a multi-modal large language model. It covers installation, status checks, basic chat, and configuring Open WebUI for image-based prompts.
Inference Snaps are generative AI models packaged for efficient performance on local hardware, automatically optimizing for CPU, GPU, or NPU.
Canonical today announced optimized inference snaps, a new way to deploy AI models on Ubuntu devices, with automatic selection of optimized engines, quantizations and architectures based on the specific silicon of the device.
On October 23rd, we announced the beta availability of silicon-optimized AI models in Ubuntu. Developers can locally install DeepSeek R1 and Qwen 2.5 VL with a single command, benefiting from maximized hardware performance and automated dependency management.
GNU Emacs in a snap - the extensible, customizable, self-documenting real-time display editor. This repository provides the snapcraft.yaml file and related scripts to build a snap package for GNU Emacs.
This question details how to install Thunderbird using a traditional .deb package in Ubuntu 22.04, avoiding the Snap package. It provides instructions to add the Mozilla Team PPA to apt, then install Thunderbird. It also includes information on potential issues and solutions, such as dealing with conflicting packages or needing to remove the snap version first.
