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-v4-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v23-v4-mkmlizer to finish
cloudyu-nemo-dpo-v23-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ _____ __ __ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ belonging to: ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ║ ║
cloudyu-nemo-dpo-v23-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v23-v4-mkmlizer: Downloaded to shared memory in 33.145s
cloudyu-nemo-dpo-v23-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxb17rufe, device:0
cloudyu-nemo-dpo-v23-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-nemo-dpo-v23-v4-mkmlizer: quantized model in 35.857s
cloudyu-nemo-dpo-v23-v4-mkmlizer: Processed model cloudyu/Nemo-DPO-V23 in 69.001s
cloudyu-nemo-dpo-v23-v4-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v23-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v23-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4
cloudyu-nemo-dpo-v23-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4/special_tokens_map.json
cloudyu-nemo-dpo-v23-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4/config.json
cloudyu-nemo-dpo-v23-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4/tokenizer_config.json
cloudyu-nemo-dpo-v23-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4/tokenizer.json
cloudyu-nemo-dpo-v23-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v23-v4/flywheel_model.0.safetensors
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Job cloudyu-nemo-dpo-v23-v4-mkmlizer completed after 94.04s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v23-v4-mkmlizer
Pipeline stage MKMLizer completed in 94.56s
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Running pipeline stage MKMLDeployer
Creating inference service cloudyu-nemo-dpo-v23-v4
Waiting for inference service cloudyu-nemo-dpo-v23-v4 to be ready
Inference service cloudyu-nemo-dpo-v23-v4 ready after 371.61452436447144s
Pipeline stage MKMLDeployer completed in 372.14s
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Running pipeline stage StressChecker
Received healthy response to inference request in 7.180203914642334s
Received healthy response to inference request in 1.6327412128448486s
Received healthy response to inference request in 1.7518718242645264s
Received healthy response to inference request in 2.1059374809265137s
Received healthy response to inference request in 1.8518931865692139s
5 requests
0 failed requests
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mean time: 2.9045295238494875
Pipeline stage StressChecker completed in 15.89s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2715.11s
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cloudyu-nemo-dpo-v23_v4 status is now inactive due to auto deactivation removed underperforming models
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