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@@ -9,10 +9,28 @@
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[](https://discord.gg/ollama)
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-Create, run, and share large language models (LLMs). Ollama bundles a model’s weights, configuration, prompts, and more into self-contained packages that can run on any machine.
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-
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> Note: Ollama is in early preview. Please report any issues you find.
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+Create, run, and share portable large language models (LLMs). Ollama bundles a model’s weights, configuration, prompts, and more into self-contained packages that can run on any machine.
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+
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+### Portable Large Language Models (LLMs)
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+
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+Package models as a series of layers in a portable, easy to manage format.
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+
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+#### The idea behind Ollama
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+
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+- Universal model format that can run anywhere: desktop, cloud servers & other devices.
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+- Encapsulate everything a model needs to operate – weights, configuration, and data – into a single package.
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+- Build custom models from base models like Meta's [Llama 2](https://ai.meta.com/llama/)
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+- Share large models without having to transmit large amounts of data.
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+
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+<picture>
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+ <source media="(prefers-color-scheme: dark)" height="480" srcset="https://github.com/jmorganca/ollama/assets/251292/2e05cf23-e3c6-403e-9910-3d622801f4b8">
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+ <img alt="logo" height="480" src="https://github.com/jmorganca/ollama/assets/251292/2e05cf23-e3c6-403e-9910-3d622801f4b8">
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+</picture>
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+
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+This format is inspired by the [image spec](https://github.com/opencontainers/image-spec) originally introduced by Docker for Linux containers. Ollama extends this format to package large language models.
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+
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## Download
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- [Download](https://ollama.ai/download) for macOS on Apple Silicon (Intel coming soon)
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Jeffrey Morgan