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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Complete Developer Guide

**[SitePoint](https://daily.dev/sources/sitepoint)** · 24 min read · 1 upvotes · 0 comments

## Summary

A comprehensive guide to running large language models locally in 2026, covering hardware requirements (GPU/CPU/Apple Silicon), tooling options (Ollama, LM Studio, llama.cpp, vLLM), and Python integration. Includes step-by-step Ollama installation, model selection guidance with quantization trade-offs, a RAG pipeline using ChromaDB, structured output extraction, performance optimization tips, and a complete automated setup script. Benchmark tables compare hardware configurations against model sizes (7B to 70B), and a tool comparison matrix covers ease of setup, API compatibility, GPU support, and best use cases.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.sitepoint.com/run-local-llms-2026-complete-developer-guide/>

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---

Tags: [#lm-studio](https://daily.dev/tags/lm-studio), [#local-ai](https://daily.dev/tags/local-ai), [#ollama](https://daily.dev/tags/ollama), [#python](https://daily.dev/tags/python), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/complete-developer-guide-29dxehjjh)

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