LM Studio Guide: GGUF, Apple Metal and Local LLMs

Local LLM Desktop Runners, GGUF Quantization Profiles & Apple Metal GPU Acceleration

LM Studio Guide
Independent · 2026

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comparisons

LM Studio vs Ollama for Local LLMs: How to Actually Choose

A practical comparison of LM Studio and Ollama for local LLMs: licensing limits, OpenAI API coverage, and the memory and context defaults.

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Latest guides

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inference

How Much VRAM for a 7B Model? Quantization and Context

Size a 7B model using documented memory figures for BF16, INT8 and INT4. Account for KV cache, context length…

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model-formats

GGUF vs Safetensors: Differences and LM Studio Support

Compare GGUF and Safetensors for inference, training, quantization and LM Studio support, including when MLX …

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hardware

LM Studio System Requirements: RAM, VRAM, GPU

LM Studio system requirements for Windows, Mac and Linux: RAM and VRAM recommendations, CPU support, GPU offl…

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server-api

LM Studio on Unraid: Headless Server Setup

LM Studio has no official Unraid app. The three real options for headless GPU inference on a server, what eac…

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getting-started

GGUF Quantization Levels: Q4_K_M vs Q8_0 Explained

How GGUF quantization trades model quality for memory, what Q4_K_M costs you against Q8_0, and how to match a…

Start here

Running a language model on your own machine comes down to three decisions in order: whether the hardware can hold the model, whether the model exists in a format LM Studio can open, and which quantization of it to run. These cover all three.

VRAM & GGUF Sizer

Estimate the memory a model needs before downloading it. Runs in your browser.

System requirements

The hard platform floors, and how to size a machine to the model you want.

Quantization levels

What Q4_K_M actually costs you against Q8_0, and how to choose between them.

GGUF vs safetensors

Why a model will not load, and how to find a build that will.

Serving models from a home server instead of a desktop? Read the headless and Unraid options.

LM Studio Guide — Local LLM Desktop Runners, GGUF Quantization Profiles & Apple Metal GPU Acceleration