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Yes, you can! Install the ollama package from PyPI, keep the Ollama service running, and call local models using chat() and generate() in your Python code.
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Ollama is open source and free to download and run locally. You still need to account for model licenses and local compute and storage costs, but there are no cloud per-token fees when running on your own machine.
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Running locally improves privacy, reduces ongoing cloud spend, and enables offline work. The trade-offs are heavier hardware needs, sizable model downloads, and slower performance without a GPU.
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No, you don’t. Models can run on a CPU, though a GPU speeds things up considerably and makes larger models more accessible.
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Use chat() for multi-turn, role-based conversations where you need to keep context and optionally stream the output. Use generate() for one-shot prompts that don’t require context, such as drafting, summarizing, or quick code generation.
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