Windows

Step-by-step instructions for enabling hardware virtualization in BIOS/UEFI on Windows 10/11. Covers ASUS, Dell, HP, Lenovo, MSI, Acer, and what to do when the option is missing or locked.

Step-by-step guide to running BlueStacks, MuMu, NoxPlayer, GameLoop, and LDPlayer on Windows 10/11 when VT-x, AMD-V, or Hyper-V is disabled, blocked, or unavailable.

Quick answer. To run Gemma 4 on Windows, install Ollama from ollama.com, open PowerShell, and run ollama pull gemma4:e4b followed by ollama run gemma4:e4b. The E4B (~9.6 GB) variant fits comfortably on 16 GB systems. For a GUI, install LM Studio, search “gemma 4”, download a

Microsoft killed Windows Subsystem for Android in 2025. Here's how to pick the right third-party Android emulator for your budget PC, ranked by minimum RAM tier, VT requirement, and use case.

Hunyuan 7B, a powerful open-source large language and video generation model developed by Tencent, is gaining widespread attention for its advanced capabilities in natural language and multimodal understanding. Running such a model on Windows can be challenging—especially compared to native Linux environments—but it's entirely feasible with

Quick answer. Cherry Studio v1.9.6 + Ollama on Windows gives you a free, fully-offline local LLM stack. Install both, point Cherry Studio at http://localhost:11434, and pick models by RAM: 16 GB handles Qwen 3.5 8B; 32 GB runs Gemma 4 9B or DeepSeek V4 distills at

Quick answer. Cherry Studio v1.9.4 is a free, open-source desktop client for Windows 10/11 that connects to 300+ LLM providers (OpenAI, Anthropic, Gemini, DeepSeek, Ollama) in one UI. Download the `CherryStudio-Setup-x64.exe` from the official site, run the installer, then add your provider API key. Setup is

Running DeepSeek Prover V2 7B on Windows involves several key steps—ranging from environment preparation to downloading and executing the model. This guide walks you through everything you need to install and run DeepSeek Prover V2 7B on a Windows system effectively. What Is DeepSeek Prover V2 7B? DeepSeek Prover

Quick answer. Qwen3-8B remains the best local LLM for Windows machines with 8-16 GB of VRAM in 2026: 8.2B parameters, 32K context (131K with YaRN), Apache 2.0, and a thinking-mode toggle. Use Ollama 0.22 for one-command setup (ollama run qwen3:8b, 5.2 GB Q4_K_M)

Kimi-Audio is an open-source audio foundation model capable of speech recognition, audio generation, and conversational AI tasks. While primarily designed for Linux environments, this guide provides detailed instructions for Windows users to leverage its capabilities through multiple methods. I. System Requirements 1. Hardware Specifications * GPU: NVIDIA GPU with ≥24GB VRAM

Last updated April 2026 — refreshed for current tool versions (TensorFlow 2.21, Z3 4.15.4, WSL2, Miniforge3). This guide explains how to run the original DeepCoder — the 2017 Microsoft Research / Cambridge system for neural program synthesis — on a Windows machine. It covers every dependency, the key limitation (the official

Last updated April 2026 — refreshed for current model/tool versions. Meta's Llama 4 family (Scout, Maverick, and the still-internal Behemoth) is a Mixture-of-Experts (MoE) lineup with 17B active parameters and a native 10M-token context on Scout. Running it on Windows in 2026 is no longer exotic, but it

Meta AI's LLaMA (Large Language Model Meta AI) represents a breakthrough in local AI processing. With the introduction of LLaMA 4, Windows users can now run advanced AI models on their own machines without relying solely on cloud services. This guide walks you through everything you need to

Last updated April 2026 — refreshed for current model versions, PyTorch 2.7, CUDA 13.x, and the new TinyTeapot 77M model. Teapot LLM is a compact, hallucination-resistant language model built for local deployment — no cloud subscription, no data leakage, runs on a laptop CPU. This guide walks through every installation

In contemporary computing landscapes, the ability to execute Android applications within a Windows 10 ecosystem has gained significant traction. This necessity extends across multiple domains, including software development, quality assurance, and gaming. Want the full picture? Read our continuously-updated Android Emulators Complete Guide (2026) — BlueStacks, NoxPlayer, MEmu, AVD, and picks

SpatialLM is a groundbreaking AI tool designed for spatial reasoning and 3D scene understanding. It processes 3D point cloud data generated from videos or other sources and outputs structured representations, such as architectural layouts or object mappings. Running SpatialLM on Windows requires specific configurations and tools. This guide provides a

Quick answer. To run DeepSeek for Windows: install Ollama for Windows from ollama.com, open PowerShell, and run 'ollama pull deepseek-r1:7b' followed by 'ollama run deepseek-r1:7b'. You need 8GB RAM minimum for the 7B model, 16GB+ for 14B, and a CUDA-capable GPU speeds it

Gemma 3, Google's latest multimodal AI model, has revolutionized artificial intelligence by enabling seamless text, image, and video processing. With its open weights and optimized performance for consumer-grade hardware, Gemma 3 provides developers and AI enthusiasts with a powerful tool for diverse applications. This guide offers a detailed

Sesame CSM 1B is an open-source speech model designed for lifelike AI-generated voices, enabling offline voice synthesis and cloning on local hardware. This guide provides a step-by-step approach to installing and running Sesame CSM 1B on a Windows machine, covering prerequisites, installation steps, testing, and troubleshooting. What is Sesame CSM

Quick answer. Install Python 3.12, uv, and Git on Windows. Clone `FoundationAgents/OpenManus`, run `uv venv --python 3.12`, install with `uv pip install -r requirements.txt`, then `playwright install chromium`. Copy `config.example.toml` to `config.toml` and add your Claude / GPT-4o / DeepSeek / Ollama key. Launch with `python

Deploying Microsoft Phi-4 Mini on Windows: A Technical Overview Microsoft's Phi-4 Mini represents a sophisticated advancement in compact AI model architectures, engineered specifically for computational efficiency in text-based inferencing. As a member of the Phi-4 family, which includes the Phi-4 Multimodal variant capable of integrating vision and speech

Running SmolVLM2 2.2B on Windows involves several steps, including system requirements, installation of necessary software, and execution of the model. This article provides a comprehensive guide to help you set up and run the SmolVLM2 model effectively on a Windows operating system. What is SmolVLM2? SmolVLM2 is a small

SkyReels-V1-Hunyuan-I2V is an advanced open-source video generation model developed by SkyworkAI, designed to facilitate high-quality video production through innovative machine learning techniques. This model is particularly notable for its capabilities in both text-to-video (T2V) and image-to-video (I2V) generation, making it a versatile tool for creators looking to produce engaging visual

Animate Anyone 2 represents a sophisticated advancement in the domain of character animation, leveraging diffusion-based methodologies to synthesize high-fidelity animations while ensuring contextual coherence with environmental variables. The latest iteration incorporates significant enhancements, such as shape-agnostic masking and an optimized pose modulation framework, facilitating improved animation realism and greater motion