About LM Studio Guide
LM Studio Guide is a reference for running large language models locally with LM Studio: choosing a GGUF quantization level, understanding what Q4_K_M actually costs you against Q8_0, sizing memory for a model before downloading it, working out which model formats the app can and cannot open, offloading layers to Apple Silicon's Metal backend, and exposing the local API server to other machines from a desktop or a headless home server.
It is written for people who want a model running on their own machine and need to know which knob does what before they download 40 GB of weights. Vendor documentation, the llama.cpp and GGUF specifications, and published benchmark figures are the sources; the site does not run its own inference benchmarks.
What is covered here
- Comparisons
- Getting Started
- Hardware
- Inference
- Model Formats
- Models
- Server API
7 articles are published so far. New articles are announced on the RSS feed; there is no fixed publishing schedule and this site does not promise one.
How these articles are produced
Articles are researched from primary sources: vendor and project documentation, published standards and specifications, release notes, advisories, and measurements published by the people who took them. Drafts are produced with AI assistance and then edited against those same sources before anything is published. Where a figure comes from a datasheet or a third-party measurement, the article names the source and links to it so you can check the original rather than take this site's summary of it.
Everything here is published under the LM Studio Guide Editorial byline. That is an editorial desk, not a person, and no article on this site claims hands-on lab testing, benchmarking, or first-hand measurement. Nothing here should be read as a report of something this site physically tested.
Corrections
Getting it right matters more than getting it first. If something on this site is wrong, out of date, or missing the source it should cite, email editor@lmstudioguide.com with the page and the specific claim. Substantive corrections are made on the page itself rather than quietly dropped.
How this site is funded
This site currently runs no affiliate links, no sponsored content, no paid placement, and no display advertising. Nothing on it earns a commission. If that changes, this page and the disclosure page will say so before any such link appears.
The full position is on the disclosure page. Read it before acting on anything here that reads like a buying recommendation.
Related sites
LM Studio Guide is run alongside a small number of other single-topic sites:
- OllamaLab - Local LLM hardware and inference speed.
- Open WebUI HQ - Self-Hosted Open WebUI and Ollama Guides
- LlamaIndex Hub - Build and debug RAG retrieval pipelines
- RAGStackGuide - Mastering Retrieval-Augmented Generation & Vector Indexing.
- LangChainGuide - LangChain agents, retrieval and token cost
Contact
Email: editor@lmstudioguide.com
Site: lmstudioguide.com
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