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What is the bug?
While working on #844, I encountered an issue where loading a model without properly setting only_run_on_ml_node resulted in IllegalArgumentException, but ml-commons still created a model group in the model group index.
How can one reproduce the bug?
Steps to reproduce the behavior:
{
"error": {
"root_cause": [
{
"type": "illegal_argument_exception",
"reason": "No eligible node found to execute this request. It's best practice to provision ML nodes to serve your models. You can disable this setting to serve the model on your data node for development purposes by disabling the \"plugins.ml_commons.only_run_on_ml_node\" configuration using the _cluster/setting api"
}
],
"type": "illegal_argument_exception",
"reason": "No eligible node found to execute this request. It's best practice to provision ML nodes to serve your models. You can disable this setting to serve the model on your data node for development purposes by disabling the \"plugins.ml_commons.only_run_on_ml_node\" configuration using the _cluster/setting api"
},
"status": 400
}
@austintlee thanks for the catch. We have recently made a code change to delete the model group when the version update fails. Looks like this particular scenario is not being handled by that change. Let me take a look at this and fix it. For now you should be able to continue your testing. You should still be able to upload the "huggingface/sentence-transformers/all-MiniLM-L12-v2" model and continue testing.
What is the bug?
While working on #844, I encountered an issue where loading a model without properly setting
only_run_on_ml_node
resulted in IllegalArgumentException, but ml-commons still created a model group in the model group index.How can one reproduce the bug?
Steps to reproduce the behavior:
./gradlew run
Confirm you get this error:
I am not able to delete this.
What is the expected behavior?
A clear and concise description of what you expected to happen.
What is your host/environment?
Do you have any screenshots?
If applicable, add screenshots to help explain your problem.
Do you have any additional context?
Add any other context about the problem.
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