Ubuntu

Quick answer. On Ubuntu 22.04 through 25.04, install Cherry Studio 1.9.x via the official .deb from github.com/CherryHQ/cherry-studio for one-command setup and proper menu integration. Skip the AppImage on 24.04+ unless you install libfuse2t64, since Ubuntu now ships FUSE 3. Flatpak is the

Last updated April 2026 — refreshed for current model/tool versions. Microsoft's Phi-4 family has grown from a single 14B text model into a six-model ecosystem covering text, vision, audio, and multi-step reasoning — all under the MIT license. This guide covers every variant, gives you current hardware targets, and

Quick answer. Run Qwen3-8B on Ubuntu via Ollama for a 5-minute setup, vLLM 0.20+ for production serving, or llama.cpp for GGUF flexibility. Hardware floor: 16 GB RAM and an 8 GB+ VRAM GPU (RTX 3060 or better). 4-bit quants cut VRAM to roughly 5-6 GB while keeping near-FP16

Kimi-Audio is Moonshot AI's state-of-the-art 7B parameter audio foundation model capable of speech recognition, audio generation, and multimodal conversations. System Requirements Hardware * GPU: Minimum NVIDIA RTX 3090 (24GB VRAM) / Recommended RTX 6000 Ada (48GB VRAM)16 * RAM: 64GB DDR4 minimum * Storage: 100GB+ free SSD space (for models and

Last updated April 2026 — refreshed for current model versions, Ollama GPU support, and 2026 ecosystem context. DeepCoder-14B-Preview is a fully open-source code reasoning model released in April 2025 by Agentica and Together AI. It matches OpenAI's o3-mini on LiveCodeBench while running entirely on local hardware. This guide walks

Running LLama 4 locally on Ubuntu provides an exceptional opportunity to harness advanced artificial intelligence while keeping your data secure and lowering operational costs. This guide walks you through every step—from setting up your system and installing necessary software to fine-tuning your model and troubleshooting common issues. Want the

Teapot LLM is an open-source, lightweight language model optimized for resource-constrained devices. This guide will walk you through the process of setting up and running Teapot LLM on an Ubuntu system, covering everything from system preparation to running the model locally. Whether you’re building a conversational AI, performing retrieval-augmented

Last updated April 2026 — refreshed for current model/tool versions. Running a local deep research assistant on Ubuntu gives you iterative, citation-backed reports without sending your data to any cloud. This guide covers two production-ready options — the lightweight langchain-ai/local-deep-researcher (Python script, minimal dependencies) and the feature-rich LearningCircuit/local-deep-research (v1.

SpatialLM is a cutting-edge AI tool designed to analyze videos, generate 3D maps of spaces, and identify structural elements such as walls, doors, windows, and furniture. This guide provides a step-by-step walkthrough for installing, configuring, running inference, and visualizing SpatialLM on Ubuntu. Introduction to SpatialLM SpatialLM is a large language

DeepSeek V3 is one of the most advanced AI models available today, designed to excel in natural language processing, reasoning, and decision-making tasks. Running DeepSeek V3 on Ubuntu allows developers to harness its capabilities locally, avoiding reliance on cloud services while maintaining full control over their environment. This article provides

Last updated April 2026 — refreshed for Gemma 4 (released April 2, 2026), current Ollama releases, and the Gemma 3 lineage that still ships in production. Google DeepMind released Gemma 4 on April 2, 2026 under Apache 2.0, superseding the Gemma 3 lineup released in March 2025. This guide is

Sesame CSM 1B is a cutting-edge, open-source speech synthesis model optimized for local deployment. It enables lifelike voice generation and cloning with efficient VRAM usage, making it ideal for users with consumer GPUs like the RTX 4060 (8GB VRAM). This guide covers installation, configuration, and advanced usage on Ubuntu systems

OpenManus is an open-source alternative to Manus AI, designed to provide similar capabilities through local deployment. This guide walks you through the installation, configuration, and usage of OpenManus on Ubuntu systems. What is OpenManus? OpenManus is an open-source AI agent inspired by the capabilities of Manus AI, developed by the

Last updated April 2026 — refreshed for current Ollama versions, Ubuntu 24.04, and 2026 model ecosystem. Ollama VIC-20 is a sub-20 KB, zero-install JavaScript frontend for chatting with locally hosted large language models. Paired with Ollama v0.22 — the inference layer that now ships with native GPU support, image generation,

Microsoft's Phi-4 Mini represents a highly optimized, computationally efficient AI model designed for text-based tasks, including reasoning, code synthesis, and instructional processing. As a compact variant within the Phi-4 model suite, it facilitates high-performance computing on resource-constrained systems, positioning it as an optimal candidate for edge computing applications.

Last updated April 2026 — refreshed for current model/tool versions. SkyReels-V1-Hunyuan-I2V is an open-source image-to-video model from SkyworkAI that produces cinematic, human-centric video from still images on a single consumer GPU. This guide walks through the complete Ubuntu setup — from NVIDIA drivers to running your first generation — and covers where

Last updated: May 1, 2026. Microsoft OmniParser V2 is a vision-based screen parser that turns a UI screenshot into structured, LLM-readable elements (bounding boxes plus icon captions). Pair it with a vision LLM and you have the perception layer for a "computer-use" agent. This guide is a clean,

Installing and running Flex on Ubuntu involves several essential steps. From ensuring that your system meets the necessary prerequisites to downloading and installing the required packages, this guide provides a comprehensive walkthrough to help you configure and run Flex. Prerequisites for Installing Flex Before proceeding with the Flex installation on

Deploying OpenThinker 7B on an Ubuntu-based system necessitates meticulous preparation, including system configuration, dependency management, and application setup. This guide provides an in-depth procedural framework to ensure an efficient and error-free installation process. System Prerequisites Before proceeding with the installation, it is imperative to verify that the target system satisfies

DeepScaleR 1.5B represents a paradigm shift in the field of natural language processing, embodying a highly optimized language model developed by Ollama. This guide provides a methodologically rigorous framework for installing and deploying DeepScaleR 1.5B within an Ubuntu-based development environment. System Requirements To facilitate an optimal installation and

Zonos-TTS is an open-source, multilingual, real-time text-to-speech (TTS) model that offers high expressiveness and voice cloning capabilities. Released by ZyphraAI under the Apache 2.0 license, Zonos-TTS supports features like real-time voice cloning, audio prefix input, and fine control over speech attributes such as rate, pitch, and emotion. This guide

Large Language Models (LLMs) such as Ollama necessitate a structured installation and configuration process to ensure seamless execution in Ubuntu-based environments. This document delineates the essential procedures for system preparation, software installation, runtime execution, and optional UI configurations. Want the full picture? Read our continuously-updated Self-Hosting LLMs Complete Guide (2026)

YuE-7B is an open-source text-to-audio model designed to generate high-quality, realistic audio clips from simple text prompts. Developed by Declare Lab and powered by Stability AI, it utilizes advanced machine learning techniques like Flow Matching and CLAP-Ranked Preference Optimization (CRPO) to produce audio that aligns closely with user expectations. This

LLaSA (LLaMA-based Speech Synthesis) is a text-to-speech (TTS) system that extends the text-based LLaMA language model by incorporating speech tokens. LLaSA models come in different sizes, such as 1B, 3B, and 8B. This article focuses on running the LLaSA TTS 3B model on Ubuntu, providing a comprehensive guide covering installation,