How to Move Local AI Models to a New Machine
Copy Ollama, Hugging Face and LM Studio model stores to a new computer, keep custom Modelfiles working, and check the weights arrived intact.
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Copy Ollama, Hugging Face and LM Studio model stores to a new computer, keep custom Modelfiles working, and check the weights arrived intact.
How llama.cpp, vLLM and LM Studio decide whether to reuse your prompt's KV cache, what each reports about tokens saved, and where the reuse stops.
Side-by-side look at what Ollama, LM Studio, llama.cpp, vLLM, AnythingLLM, and Hugging Face TGI collect by default, and how to switch each one off.
JSON mode, GBNF grammar-constrained decoding, and OpenAI-style tool calling across Ollama, llama-server, LM Studio, and vLLM.
OpenAI-compatible endpoints on Ollama, llama.cpp, LM Studio, and vLLM. How to point your app at a local server with a base URL change.
How Ollama, LM Studio, llama.cpp, and vLLM differ on model format, OpenAI-compatible API, hardware support, and which to pick for a home server.
Practical patterns for letting two to six people in one home share one local model on one machine, with the right chat UI, bind address, and overlay network.
Ollama, LM Studio, Jan, llama.cpp and vLLM compared: licences, engines, OpenAI-compatible APIs, multi-user serving, and which to install first.