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gcloud: Wed Jul 30 10:59:26 UTC 2025
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@ -4,6 +4,7 @@ NAME
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SYNOPSIS
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gcloud ai model-garden models deploy --model=MODEL
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[--accelerator-count=ACCELERATOR_COUNT]
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[--accelerator-type=ACCELERATOR_TYPE] [--accept-eula] [--asynchronous]
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[--container-args=[ARG,...]] [--container-command=[COMMAND,...]]
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[--container-deployment-timeout-seconds=CONTAINER_DEPLOYMENT_TIMEOUT_SECONDS]
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@ -50,9 +51,15 @@ REQUIRED FLAGS
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in the format of {publisher_name}/{model_name}@{model_version_name},
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e.g. google/gemma2@gemma-2-2b. If it is a Hugging Face model, it should
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be in the convention of Hugging Face models, e.g.
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meta-llama/Meta-Llama-3-8B.
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meta-llama/Meta-Llama-3-8B. If it is a Custom Weights model, it should
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be in the format of gs://{gcs_bucket_uri}, e.g.
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gs://-model-garden-public-us/llama3.1/Meta-Llama-3.1-8B-Instruct.
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OPTIONAL FLAGS
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--accelerator-count=ACCELERATOR_COUNT
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The accelerator count to serve the model. Accelerator count should be
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non-negative.
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--accelerator-type=ACCELERATOR_TYPE
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The accelerator type to serve the model. It should be a supported
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accelerator type from the verified deployment configurations of the
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