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fix broken --list-templates with adding build.yaml files for packaging (#327)
* add build files to templates * fix templates * manifest * symlink * symlink * precommit * change everything to docker build.yaml * remove image_type in templates * fix build from templates CLI * fix readmes
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32 changed files with 161 additions and 158 deletions
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@ -279,11 +279,11 @@ llama stack build --list-templates
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You may then pick a template to build your distribution with providers fitted to your liking.
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```
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llama stack build --template local-tgi --name my-tgi-stack
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llama stack build --template local-tgi --name my-tgi-stack --image-type conda
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```
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```
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$ llama stack build --template local-tgi --name my-tgi-stack
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$ llama stack build --template local-tgi --name my-tgi-stack --image-type conda
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...
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...
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Build spec configuration saved at ~/.conda/envs/llamastack-my-tgi-stack/my-tgi-stack-build.yaml
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@ -293,10 +293,10 @@ You may now run `llama stack configure my-tgi-stack` or `llama stack configure ~
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#### Building from config file
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- In addition to templates, you may customize the build to your liking through editing config files and build from config files with the following command.
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- The config file will be of contents like the ones in `llama_stack/distributions/templates/`.
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- The config file will be of contents like the ones in `llama_stack/templates/`.
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```
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$ cat llama_stack/distribution/templates/local-ollama-build.yaml
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$ cat build.yaml
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name: local-ollama
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distribution_spec:
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@ -311,7 +311,7 @@ image_type: conda
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```
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```
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llama stack build --config llama_stack/distribution/templates/local-ollama-build.yaml
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llama stack build --config build.yaml
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```
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#### How to build distribution with Docker image
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@ -35,11 +35,7 @@ You have two ways to start up Llama stack server:
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1. **Starting up server via docker**:
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We provide 2 pre-built Docker image of Llama Stack distribution, which can be found in the following links.
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- [llamastack-local-gpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-gpu/general)
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- This is a packaged version with our local meta-reference implementations, where you will be running inference locally with downloaded Llama model checkpoints.
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- [llamastack-local-cpu](https://hub.docker.com/repository/docker/llamastack/llamastack-local-cpu/general)
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- This is a lite version with remote inference where you can hook up to your favourite remote inference framework (e.g. ollama, fireworks, together, tgi) for running inference without GPU.
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We provide pre-built Docker image of Llama Stack distribution, which can be found in the following links in the [distributions](../distributions/) folder.
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> [!NOTE]
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> For GPU inference, you need to set these environment variables for specifying local directory containing your model checkpoints, and enable GPU inference to start running docker container.
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