Local LLM Guide: Run Large Language Models on Your Machine
Published 2026-07-16
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Overview
Complete guide to running local LLMs. Hardware requirements, software options (Ollama, LM Studio, MLX), model selection, and performance tips.
Key Topics
This article covers the following topics related to local llm, run llm locally, local language model:
- Core concepts and terminology
- Practical implementation guide
- Best practices and common pitfalls
- Comparison with alternatives
- Real-world use cases
Getting Started
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FAQ
What hardware do I need to run a local LLM?
Most local LLMs need 8-32GB RAM and a modern GPU or Apple Silicon. Quantized models can run on as little as 8GB RAM.
Which local LLM is best?
It depends on your use case. Llama 3, Mistral, and Phi-3 are popular choices with different trade-offs in size and capability.
Conclusion
Content to be filled: summary and next steps.
Frequently Asked Questions
What hardware do I need to run a local LLM? ▸
Most local LLMs need 8-32GB RAM and a modern GPU or Apple Silicon. Quantized models can run on as little as 8GB RAM.
Which local LLM is best? ▸
It depends on your use case. Llama 3, Mistral, and Phi-3 are popular choices with different trade-offs in size and capability.
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