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docs: update building distro to use container commands over llama stack run

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Bobbins228 2025-05-19 13:06:35 +01:00
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36
docs/source/distributions/building_distro.md
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@ -260,7 +260,41 @@ Containerfile created successfully in /tmp/tmp.viA3a3Rdsg/ContainerfileFROM pyth
You can now edit ~/meta-llama/llama-stack/tmp/configs/ollama-run.yaml and run `llama stack run ~/meta-llama/llama-stack/tmp/configs/ollama-run.yaml`
```
After this step is successful, you should be able to find the built container image and test it with `llama stack run <path/to/run.yaml>`.
Now set some environment variables for the inference model ID and Llama Stack Port and create a local directory to mount into the container's file system.
```
export INFERENCE_MODEL="llama3.2:3b"
export LLAMA_STACK_PORT=8321
mkdir -p ~/.llama
```
After this step is successful, you should be able to find the built container image and test it with the below Docker command:
```
docker run -d \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ~/.llama:/root/.llama \
localhost/distribution-ollama:dev \
--port $LLAMA_STACK_PORT \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env OLLAMA_URL=http://host.docker.internal:11434
```
Here are the docker flags and their uses:
* `-d`: Runs the container in the detached mode as a background process
* `-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT`: Maps the container port to the host port for accessing the server
* `-v ~/.llama:/root/.llama`: Mounts the local .llama directory to persist configurations and data
* `localhost/distribution-ollama:dev`: The name and tag of the container image to run
* `--port $LLAMA_STACK_PORT`: Port number for the server to listen on
* `--env INFERENCE_MODEL=$INFERENCE_MODEL`: Sets the model to use for inference
* `--env OLLAMA_URL=http://host.docker.internal:11434`: Configures the URL for the Ollama service
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