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v0.1.0 with fix #879 

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
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Yuan Tang 2025-01-24 20:49:08 -05:00
parent 0121eb45e9
commit c8f485f16d
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11
_posts/2025-01-27-intro-to-llama-stack-with-vllm.md
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@ -32,10 +32,9 @@ In this article, we will demonstrate the functionality through the remote vLLM i
* Linux operating system
* [Hugging Face CLI](https://huggingface.co/docs/huggingface_hub/main/en/guides/cli) if you'd like to download the model via CLI.
* OCI-compliant technologies like [Podman](https://podman.io/) or [Docker](https://www.docker.com/) (can be specified via the `CONTAINER_BINARY` environment variable when running `llama stack` CLI commands).
* OCI-compliant container technologies like [Podman](https://podman.io/) or [Docker](https://www.docker.com/) (can be specified via the `CONTAINER_BINARY` environment variable when running `llama stack` CLI commands).
* [Kind](https://kind.sigs.k8s.io/) for Kubernetes deployment.
* [Conda](https://github.com/conda/conda) for managing Python environment.
* Python >= 3.10 if you'd like to test the [Llama Stack Python SDK](https://github.com/meta-llama/llama-stack-client-python).
## Get Started via Containers
@ -119,7 +118,7 @@ image_type: container
EOF
export CONTAINER_BINARY=podman
LLAMA_STACK_DIR=. PYTHONPATH=. python -m llama_stack.cli.llama stack build --config /tmp/test-vllm-llama-stack/vllm-llama-stack-build.yaml
LLAMA_STACK_DIR=. PYTHONPATH=. python -m llama_stack.cli.llama stack build --config /tmp/test-vllm-llama-stack/vllm-llama-stack-build.yaml --image-name distribution-myenv
```
Once the container image has been built successfully, we can then edit the generated `vllm-run.yaml` to be `/tmp/test-vllm-llama-stack/vllm-llama-stack-run.yaml` with the following change in the `models` field:
@ -137,14 +136,14 @@ Then we can start the LlamaStack Server with the image we built via `llama stack
export INFERENCE_ADDR=host.containers.internal
export INFERENCE_PORT=8000
export INFERENCE_MODEL=meta-llama/Llama-3.2-1B-Instruct
export LLAMASTACK_PORT=5000
export LLAMA_STACK_PORT=5000
LLAMA_STACK_DIR=. PYTHONPATH=. python -m llama_stack.cli.llama stack run \
--env INFERENCE_MODEL=$INFERENCE_MODEL \
--env VLLM_URL=http://$INFERENCE_ADDR:$INFERENCE_PORT/v1 \
--env VLLM_MAX_TOKENS=8192 \
--env VLLM_API_TOKEN=fake \
--env LLAMASTACK_PORT=$LLAMASTACK_PORT \
--env LLAMA_STACK_PORT=$LLAMA_STACK_PORT \
/tmp/test-vllm-llama-stack/vllm-llama-stack-run.yaml
```
@ -155,7 +154,7 @@ podman run --security-opt label=disable -it --network host -v /tmp/test-vllm-lla
--env VLLM_URL=http://$INFERENCE_ADDR:$INFERENCE_PORT/v1 \
--env VLLM_MAX_TOKENS=8192 \
--env VLLM_API_TOKEN=fake \
--env LLAMASTACK_PORT=$LLAMASTACK_PORT \
--env LLAMA_STACK_PORT=$LLAMA_STACK_PORT \
--entrypoint='["python", "-m", "llama_stack.distribution.server.server", "--yaml-config", "/app/config.yaml"]' \
localhost/distribution-myenv:dev
```