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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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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Running an LLM on 24GB VRAM: What Can an RTX 3090 / 4090 Run?
Which LLMs fit on 24GB VRAM? 27B–32B dense and 30B MoE models with memory estimates, long-context headroom, 3090 vs 4090, and why 70B doesn’t fit.
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Run an LLM on 8GB VRAM: What Can an 8GB GPU Run? Model Picks
Run an LLM on 8GB VRAM: Ollama picks for chat, reasoning, coding and vision with file sizes, context settings, 8GB card comparison and upgrade advice.
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Best Local LLM in 2026: Pick by VRAM and Task, Not by Leaderboard
Best local LLM for your hardware: picks by 8GB, 12GB, 24GB and 32GB VRAM and by task, covering Qwen, Gemma and gpt-oss, with file sizes and VRAM estimates.
