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AI Engineer

A collection of 186 posts

Run Microsoft OmniParser V2 on Linux :Step By Step Installation Guide

Run Microsoft OmniParser V2 on Linux :Step By Step Installation Guide

Microsoft has unveiled OmniParser V2, a significant advancement in AI-driven automation designed to transform Large Language Models (LLMs) into proactive digital agents. This open-source tool empowers AI to interact with computer interfaces similarly to human users—interpreting UI elements, navigating software, and executing tasks autonomously through simple text prompts. This

Run Microsoft OmniParser V2 on Ubuntu : Step by Step Installation Guide

Run Microsoft OmniParser V2 on Ubuntu : Step by Step Installation Guide

Microsoft's OmniParser V2 is a powerful tool designed to interpret user interface (UI) screenshots and convert them into a structured format. This enhances the ability of Large Language Models (LLMs) to interact with graphical user interfaces (GUIs), facilitating the creation of autonomous GUI agents that can effectively interact

Run Microsoft OmniParser V2 on Windows : Step by Step Guide

Run Microsoft OmniParser V2 on Windows : Step by Step Guide

Microsoft OmniParser V2 is a powerful tool designed to parse user interface (UI) screenshots into structured elements, enhancing the ability of Large Language Models (LLMs) to interact with graphical user interfaces (GUIs). This article provides a comprehensive guide on setting up and running Microsoft OmniParser V2 in a Windows environment,

Run Microsoft OmniParser V2 on macOS : Step by Step Installation Guide

Run Microsoft OmniParser V2 on macOS : Step by Step Installation Guide

Microsoft's OmniParser V2 is an advanced AI model designed to interpret screen elements from screenshots, predicting the coordinates and descriptions of all elements. When combined with Large Language Models (LLMs), it enables AI to interact with any application through vision, similar to human interaction. Why V2 Over V1?

Installation and Running of InternVideo2.5 on Windows

Installation and Running of InternVideo2.5 on Windows

InternVideo2.5 represents an advanced video multimodal large language model (MLLM), extending upon InternVL2.5 with the incorporation of long and rich context (LRC) modeling. This enhancement facilitates improved perception of fine-grained details and the comprehension of extended temporal structures. What is InternVideo2.5? InternVideo2.5 is an open-source video

Install & Run Stable Code 3B on Ubuntu

Install & Run Stable Code 3B on Ubuntu

Stable Code 3B is a state-of-the-art large language model (LLM) designed for code completion, boasting a compact size that allows it to run efficiently even on standard laptops without dedicated GPUs. Overview of Stable Code 3B Stable Code 3B is a large language model developed by Stability AI, specifically tailored

Install & Run Stable Code 3B on Linux

Install & Run Stable Code 3B on Linux

StableCode, developed by Stability AI, is a sophisticated AI-powered code generation model designed to facilitate programmatic automation and software development. Due to access restrictions, authentication via Hugging Face is required to utilize the model. Overview of Stable Code 3B Stable Code 3B is a large language model developed by Stability

Install & Run Stable Code 3B on Windows

Install & Run Stable Code 3B on Windows

The installation and execution of Stable Code 3B on a Windows system necessitate a systematic approach, encompassing environment configuration, dependency management, and model execution. Overview of Stable Code 3B Stable Code 3B, an advanced autoregressive transformer model engineered by Stability AI, is explicitly optimized for code generation and completion across

How to Install and Set Up Flex.1 Alpha on Ubuntu

How to Install and Set Up Flex.1 Alpha on Ubuntu

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

Run German-R1 on Ubuntu: Step by Step Installation Guide

Run German-R1 on Ubuntu: Step by Step Installation Guide

This comprehensive guide provides a detailed walkthrough on how to install the German-R1 model on an Ubuntu operating system. It covers preparatory steps, installation procedures, verification, and initial execution, ensuring users can seamlessly integrate the German-R1 model on their Ubuntu systems. Prerequisites Before diving into the installation process, ensure that

Install & Run OpenThinker 7B on Ubuntu: Step-by-step Guide

Install & Run OpenThinker 7B on Ubuntu: Step-by-step Guide

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

Install & Run OpenThinker 7B on Linux: Step-by-step Guide

Install & Run OpenThinker 7B on Linux: Step-by-step Guide

OpenThinker 7B is an advanced large-scale language model designed for sophisticated natural language processing (NLP) applications. This comprehensive guide delineates the precise steps necessary to successfully install and execute OpenThinker 7B on a Linux system. Deploying and operating OpenThinker 7B within a Linux-based environment requires a structured approach, encompassing the

Install & Run OpenThinker 7B on Windows: Step-by-step Guide

Install & Run OpenThinker 7B on Windows: Step-by-step Guide

OpenThinker 7B is an advanced open-source language model engineered for complex natural language processing applications. This document provides a meticulous guide for installing and executing OpenThinker 7B on a Windows system. System Requirements To ensure optimal performance, the system must meet the following specifications: * Operating System: Windows 10 or later.

Run DeepHermes 3 on Linux: Step by Step Installation Guide

Run DeepHermes 3 on Linux: Step by Step Installation Guide

DeepHermes-3 is a cutting-edge language model that can be run locally on a Linux system, offering powerful reasoning capabilities directly on your machine. This guide provides a detailed installation process, covering all the necessary steps to get DeepHermes-3 running on your Linux environment. Prerequisites Before diving into the installation, ensure

Run DeepHermes 3 on macOS: Step by Step Installation Guide

Run DeepHermes 3 on macOS: Step by Step Installation Guide

DeepHermes 3 is a powerful language model that integrates reasoning capabilities with traditional language processing. This makes it an attractive tool for various applications, especially for users who want to leverage its capabilities on their macOS devices. This article provides a detailed guide on how to run DeepHermes 3 on

Run DeepHermes 3 on Windows: Step by Step Installation Guide

Run DeepHermes 3 on Windows: Step by Step Installation Guide

DeepHermes 3 is a language model known for its reasoning capabilities, built from the Hermes 3 datamix with added reasoning data. It's designed to toggle on and off long chains of thought, making it versatile for various applications. Running it locally on Windows allows you to harness its

Run Phi4-Noesis on Ubuntu: Step by Step Installation Guide

Run Phi4-Noesis on Ubuntu: Step by Step Installation Guide

Learn how to install and run Phi4-Noesis on Ubuntu with this step-by-step guide. Includes system requirements, troubleshooting tips, and advanced features for optimal performance.

Run Phi-4 Noesis on Windows: Step by Step Installation Guide

Run Phi-4 Noesis on Windows: Step by Step Installation Guide

Learn how to install and run Phi-4 Noesis on Windows with our step-by-step guide. Optimize performance, troubleshoot issues, and explore use cases for this advanced AI language model.

Run Phi-4 Noesis on Mac: Step-by-Step Installation Guide

Run Phi-4 Noesis on Mac: Step-by-Step Installation Guide

Running Phi-4 Noesis on a Mac requires understanding its requirements, setting up the environment, and troubleshooting potential issues. This guide provides a step-by-step process to get Phi-4 Noesis running smoothly on macOS. What is Phi-4 Noesis? 🤖 Key Features * 14B Parameter Model: Excels in mathematical reasoning and logic tasks. * Dual Modes:

Running Zonos-TTS Multilingual Locally on Ubuntu: Step by Step Guide

Running Zonos-TTS Multilingual Locally on Ubuntu: Step by Step Guide

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

Install Zonos-TTS on macOS for Voice Cloning & Speech Synthesis

Install Zonos-TTS on macOS for Voice Cloning & Speech Synthesis

Zonos-TTS revolutionizes text-to-speech technology with 44kHz studio-quality audio, 5-language support (English/Japanese/Chinese/French/German), and emotion-controlled voice cloning. While optimized for NVIDIA GPUs, this guide unlocks its potential on macOS systems through smart CPU optimization and Docker workflows. ✅ macOS Compatibility Checklist Ensure your system meets these requirements: Component Minimum

Running Zonos TTS on Windows: Multilingual Local Installation

Running Zonos TTS on Windows: Multilingual Local Installation

Zonos-TTS, a recent offering from ZyphraAI, is a fully open-source, multilingual text-to-speech (TTS) model that supports real-time voice cloning and is commercially usable under the Apache 2.0 License. Trained on 200,000 hours of English voice data, Zonos-TTS delivers impressive performance, with ZyphraAI's tests on an RTX

Install and Run LLaSA TTS 3B on Windows: Step by Step Guide

Install and Run LLaSA TTS 3B on Windows: Step by Step Guide

LLaSA-3B revolutionizes text-to-speech technology with emotional nuance recognition and bilingual capabilities (English/Chinese). Built on Meta's LLaMA framework, this open-source model leverages XCodec2 architecture for studio-quality audio output at 24kHz sampling rate. Perfect for developers creating voice assistants, audiobook tools, or multilingual content platforms. System Requirements Checklist Before

Install YuE-7B for Text-to-Audio Generation on Windows

Install YuE-7B for Text-to-Audio Generation on Windows

YuE-7B is an innovative open-source text-to-audio generation model that leverages advanced machine-learning techniques to transform textual prompts into high-quality audio outputs. It stands out in the realm of audio synthesis due to its ability to produce realistic and contextually appropriate soundscapes. This makes it a valuable tool for content creators,

Install YuE-7B for Text-to-Audio Generation on Linux

Install YuE-7B for Text-to-Audio Generation on Linux

Setting up YuE-7B for text-to-audio generation on Linux involves several steps, from installation to configuration and usage. This guide will walk you through the entire process, ensuring that you have a thorough understanding of each component involved. Overview of YuE-7B YuE-7B is a powerful tool designed for high-fidelity text-to-audio generation.