Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name cloudyu-nemo-dpo-v23-v7-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v23-v7-mkmlizer to finish
cloudyu-nemo-dpo-v23-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ _____ __ __ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ belonging to: ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v23-v7-mkmlizer: Downloaded to shared memory in 48.600s
cloudyu-nemo-dpo-v23-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpucckyhqz, device:0
cloudyu-nemo-dpo-v23-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-nemo-dpo-v23-v7-mkmlizer: quantized model in 36.513s
cloudyu-nemo-dpo-v23-v7-mkmlizer: Processed model cloudyu/Nemo-DPO-V23 in 85.113s
cloudyu-nemo-dpo-v23-v7-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v23-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v7/config.json
cloudyu-nemo-dpo-v23-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v7/special_tokens_map.json
cloudyu-nemo-dpo-v23-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v7/tokenizer_config.json
cloudyu-nemo-dpo-v23-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v7/tokenizer.json
cloudyu-nemo-dpo-v23-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v7/flywheel_model.0.safetensors
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Job cloudyu-nemo-dpo-v23-v7-mkmlizer completed after 114.86s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v23-v7-mkmlizer
Pipeline stage MKMLizer completed in 115.36s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Creating inference service cloudyu-nemo-dpo-v23-v7
Waiting for inference service cloudyu-nemo-dpo-v23-v7 to be ready
Inference service cloudyu-nemo-dpo-v23-v7 ready after 373.1554307937622s
Pipeline stage MKMLDeployer completed in 373.70s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0373647212982178s
Received healthy response to inference request in 1.2497718334197998s
Received healthy response to inference request in 1.3939619064331055s
Received healthy response to inference request in 1.878664255142212s
Received healthy response to inference request in 1.380936622619629s
5 requests
0 failed requests
5th percentile: 1.2760047912597656
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99th percentile: 2.0310167026519776
mean time: 1.5881398677825929
Pipeline stage StressChecker completed in 9.35s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.77s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2454.30s
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cloudyu-nemo-dpo-v23_v7 status is now inactive due to auto deactivation removed underperforming models
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