Demystifying Local LLMs: A Comprehensive Guide to llama.cpp, Ollama, and LM Studio
infrastructure#llm📝 Blog|Analyzed: Feb 16, 2026 10:15•
Published: Feb 16, 2026 10:11
•1 min read
•Qiita AIAnalysis
This article is a fantastic resource for anyone looking to run Large Language Models (LLMs) locally! It offers a clear and concise comparison of the three major tools – llama.cpp, Ollama, and LM Studio – making it easy to choose the best option for your needs. The breakdown of their respective roles is particularly insightful, presenting a layered understanding of these powerful tools.
Key Takeaways
- •The guide clarifies the relationship between llama.cpp (the engine), Ollama (model management & API), and LM Studio (GUI application).
- •It explains the importance of GGUF, a model file format used by llama.cpp and compatible with both Ollama and LM Studio.
- •The article offers insights for engineers and non-engineers looking to leverage LLMs locally while maintaining privacy.
Reference / Citation
View Original"The article explains, "Actually, these three are not competitors but different layers.""