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Requesting a build flag to only use the cpu with ollama, not the gpu They suggest different models, formats, and tips for prompt processing and web access. Users on macos models without support for metal can only run ollama on the cpu

Currently in llama.go the function numgpu defaults to returning 1 (default enable metal on all macos) and the function chooserunners will add metal to. Relevant log output os windows gpu nvidia cpu intel ollama version 0.5.13 Users share their experiences and questions about using ollama and tinyllama models on their vps with different cpu and ram configurations

They compare the speed, quality and cost of various llm models and alternatives.

Learn to switch between cpu and gpu inference in ollama for optimal performance Running local llms on a shoestring The good news is, you absolutely can. Learn how to customize ollama ai models by editing their config files and setting parameters for num_gpu, num_thread, and other options

See examples of how to use ollama models for different tasks and topics. We only have the llama 2 model locally because we have installed it using the command run I expected the model to run only on my cpu without using the gpu

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