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Running pipeline stage MKMLizer
Starting job with name chaiml-nemo-20241017-ti-8098-v13-mkmlizer
Waiting for job on chaiml-nemo-20241017-ti-8098-v13-mkmlizer to finish
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ _____ __ __ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ /___/ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ Version: 0.11.12 ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ https://mk1.ai ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ belonging to: ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ Chai Research Corp. ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ║ ║
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: Downloaded to shared memory in 49.943s
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv1x40p61, device:0
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: quantized model in 36.881s
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: Processed model ChaiML/nemo-20241017-ties-remerge_v2_5merge-albert in 86.824s
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: creating bucket guanaco-mkml-models
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-nemo-20241017-ti-8098-v13
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-nemo-20241017-ti-8098-v13/config.json
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-nemo-20241017-ti-8098-v13/special_tokens_map.json
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-nemo-20241017-ti-8098-v13/tokenizer_config.json
chaiml-nemo-20241017-ti-8098-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-nemo-20241017-ti-8098-v13/tokenizer.json
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Job chaiml-nemo-20241017-ti-8098-v13-mkmlizer completed after 114.17s with status: succeeded
Stopping job with name chaiml-nemo-20241017-ti-8098-v13-mkmlizer
Pipeline stage MKMLizer completed in 114.65s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-nemo-20241017-ti-8098-v13
Waiting for inference service chaiml-nemo-20241017-ti-8098-v13 to be ready
Inference service chaiml-nemo-20241017-ti-8098-v13 ready after 241.43295764923096s
Pipeline stage MKMLDeployer completed in 241.93s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9579989910125732s
Received healthy response to inference request in 1.4445030689239502s
Received healthy response to inference request in 1.4790277481079102s
Received healthy response to inference request in 1.5157051086425781s
Received healthy response to inference request in 1.3916785717010498s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3471.89s
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chaiml-nemo-20241017-ti_8098_v13 status is now inactive due to auto deactivation removed underperforming models