I ditched LM Studio for llama.cpp, and my local LLM doesn't feel like a downgrade anymore
The author transitioned from using LM Studio to llama.cpp for running local language models. They found llama.cpp to be more efficient and user-friendly than initially expected. The switch allowed for better performance and access to newer models without the limitations of LM Studio.
- ▪LM Studio was the author's default runner for local language models but had limitations.
- ▪Llama.cpp is an open-source C++ runtime that runs large language models locally and is more efficient than LM Studio.
- ▪The setup for llama.cpp was simpler than anticipated, requiring just a few commands to get started.
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