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40 lines
1.9 KiB
Markdown
40 lines
1.9 KiB
Markdown
# Starting a Llama Stack
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```{toctree}
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:maxdepth: 3
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:hidden:
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importing_as_library
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building_distro
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configuration
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```
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<!-- self_hosted_distro/index -->
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<!-- remote_hosted_distro/index -->
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<!-- ondevice_distro/index -->
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You can instantiate a Llama Stack in one of the following ways:
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- **As a Library**: this is the simplest, especially if you are using an external inference service. See [Using Llama Stack as a Library](importing_as_library)
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- **Docker**: we provide a number of pre-built Docker containers so you can start a Llama Stack server instantly. You can also build your own custom Docker container.
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- **Conda**: finally, you can build a custom Llama Stack server using `llama stack build` containing the exact combination of providers you wish. We have provided various templates to make getting started easier.
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Which templates / distributions to choose depends on the hardware you have for running LLM inference.
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- **Do you have access to a machine with powerful GPUs?**
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If so, we suggest:
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- {dockerhub}`distribution-remote-vllm` ([Guide](self_hosted_distro/remote-vllm))
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- {dockerhub}`distribution-meta-reference-gpu` ([Guide](self_hosted_distro/meta-reference-gpu))
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- {dockerhub}`distribution-tgi` ([Guide](self_hosted_distro/tgi))
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- **Are you running on a "regular" desktop machine?**
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If so, we suggest:
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- {dockerhub}`distribution-ollama` ([Guide](self_hosted_distro/ollama))
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- **Do you have an API key for a remote inference provider like Fireworks, Together, etc.?** If so, we suggest:
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- {dockerhub}`distribution-together` ([Guide](remote_hosted_distro/index))
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- {dockerhub}`distribution-fireworks` ([Guide](remote_hosted_distro/index))
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- **Do you want to run Llama Stack inference on your iOS / Android device** If so, we suggest:
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- [iOS SDK](ondevice_distro/ios_sdk)
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- [Android](ondevice_distro/android_sdk)
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You can also build your own [custom distribution](building_distro).
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