Local LLM PC Build: Four Tiers From 12GB to 32GB VRAM
Planning a local LLM PC build? Four VRAM tiers from 12GB to 32GB, with CPU, RAM, PSU and storage advice, a GPU price snapshot and a build checklist.
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How to Run DeepSeek Locally: Distilled vs Full Model, Picked by VRAM
Run DeepSeek locally the right way: R1 distills vs the full model vs V4, which Ollama tag fits 8GB to 48GB of VRAM, and four commands to get started.
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Local LLM vs API: How to Decide Based on Usage, Privacy and Budget
Local LLM vs API: decide on usage, privacy, model quality, budget and upkeep, with a cost method using hypothetical numbers and a hybrid local-plus-cloud plan.
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LLM Quantization Explained: What Q4_K_M Means and How to Choose a GGUF Quant
LLM quantization explained: what Q4_K_M means, GGUF quant sizes and speeds side by side, and how to pick Q4, Q5 or Q8 for your VRAM, with Ollama commands.
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Local LLM Appliance Buying Guide: What to Ask Before You Pay (2026)
Local LLM appliance buying guide for 2026: how the market shifted, how mini AI boxes, servers and DIY builds compare, and 10 questions to ask vendors.
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LM Studio Tutorial: Download and Run Models Without the Command Line
A complete LM Studio tutorial: install, search and download models, pick a quantization, tune context, chat with documents and start the local API.
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How to Run an LLM Locally: Hardware You Need and How to Pick a Model (2026)
Want to run an LLM locally? Learn how much VRAM you need, which models fit 8GB to 48GB, and how to get your first model running with Ollama in five steps.
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How to Install Ollama on Windows, Mac and Linux: From Download to Your First Model
Install Ollama on Windows, macOS or Linux, verify it works, run your first model, move the model folder and fix common problems. Updated October 2026.
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Ollama Not Using GPU? How to Fix It on NVIDIA, AMD, Mac and Docker
Ollama not using GPU? Confirm with ollama ps, then check NVIDIA drivers, AMD ROCm, Vulkan, Mac and Docker, with the env vars and log paths to use.
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Open WebUI Ollama Setup: A Chat Interface for Your Local Models
Open WebUI Ollama setup with Docker or pip: create the admin account, connect to Ollama, download models and fix ‘can’t reach Ollama’ errors.