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penting
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ClientError: An error occurred (ResourceLimitExceeded) when calling the CreateEndpoint operation: The account-level service limit 'ml.g5.12xlarge for endpoint usage' is 0 Instances, with current utilization of 0 Instances and a request delta of 1 Instances. Please use AWS Service Quotas to request an increase for this quota. If AWS Service Quotas is not available, contact AWS support to request an increase for this quota -
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Pilih Minta.
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The actor is dead because its worker process has died. Worker exit type:
SYSTEM_ERROR Worker exit detail: Worker unexpectedly exits with a connection
error code 2. End of file. There are some potential root causes. (1) The
process is killed by SIGKILL by OOM killer due to high memory usage. (2) ray
stop --force is called. (3) The worker is crashed unexpectedly due to
SIGSEGV or other unexpected errors. The actor never ran - it was cancelled
before it started running.
ClientError: Error hosting endpoint
your_endpoint_name: Failed. Reason: The
primary container for production variant AllTraffic did not pass the ping
health check. Please check CloudWatch logs for this endpoint..., Job exited
for model: your_model_name of model_type:
your_model_type
{"evaluationMetrics":"This model does not support Prompt stereotyping
evaluation. Please remove that evaluation metric or select another model that
supports it."}
Customer Error: Your input dataset could not be validated. Your dataset can have up to 1000 prompts. The dataset must be a valid jsonl file, and each prompt valid json object.To learn more about troubleshooting dataset validations errors, see Troubleshooting guide. Job executed for models: meta-textgeneration-llama-2-7b-f, pytorch-textgeneration1-alexa20b.
