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 mistralai-mistral-nemo-9330-v128-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v128-mkmlizer to finish
mistralai-mistral-nemo-9330-v128-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v128-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v128-mkmlizer: Downloaded to shared memory in 53.162s
mistralai-mistral-nemo-9330-v128-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp18l5vbfv, device:0
mistralai-mistral-nemo-9330-v128-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Inference service mistralai-mistral-nemo-9330-v125 ready after 230.48954510688782s
Pipeline stage MKMLDeployer completed in 230.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6515157222747803s
Received healthy response to inference request in 1.9729108810424805s
Received healthy response to inference request in 2.225114345550537s
Received healthy response to inference request in 1.9966838359832764s
Inference service mistralai-mistral-nemo-9330-v126 ready after 230.57993578910828s
Pipeline stage MKMLDeployer completed in 231.02s
Received healthy response to inference request in 2.0915749073028564s
run pipeline stage %s
5 requests
Running pipeline stage StressChecker
0 failed requests
5th percentile: 1.9776654720306397
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mean time: 2.187559938430786
Pipeline stage StressChecker completed in 13.05s
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Received healthy response to inference request in 1.428257703781128s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Received healthy response to inference request in 1.0285277366638184s
Received healthy response to inference request in 1.036280870437622s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.52s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v125 status is now deployed due to DeploymentManager action
Received healthy response to inference request in 1.096949577331543s
Received healthy response to inference request in 1.2006819248199463s
5 requests
0 failed requests
5th percentile: 1.030078363418579
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Pipeline stage StressChecker completed in 7.29s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.62s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v126 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-9330-v128-mkmlizer: quantized model in 43.627s
mistralai-mistral-nemo-9330-v128-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 96.789s
mistralai-mistral-nemo-9330-v128-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v128-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v128-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128
mistralai-mistral-nemo-9330-v128-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128/config.json
mistralai-mistral-nemo-9330-v128-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128/special_tokens_map.json
mistralai-mistral-nemo-9330-v128-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128/tokenizer_config.json
mistralai-mistral-nemo-9330-v128-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128/tokenizer.json
mistralai-mistral-nemo-9330-v128-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v128/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v128-mkmlizer completed after 125.79s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v128-mkmlizer
Pipeline stage MKMLizer completed in 126.25s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v128
Waiting for inference service mistralai-mistral-nemo-9330-v128 to be ready
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 arushimgupta-peft-save-1-v10-mkmlizer
Waiting for job on arushimgupta-peft-save-1-v10-mkmlizer to finish
arushimgupta-peft-save-1-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arushimgupta-peft-save-1-v10-mkmlizer: ║ _____ __ __ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ /___/ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ Version: 0.11.12 ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ https://mk1.ai ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ The license key for the current software has been verified as ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ belonging to: ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ Chai Research Corp. ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
arushimgupta-peft-save-1-v10-mkmlizer: ║ ║
arushimgupta-peft-save-1-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Inference service mistralai-mistral-nemo-9330-v128 ready after 220.77348613739014s
Pipeline stage MKMLDeployer completed in 221.07s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.247990369796753s
Received healthy response to inference request in 1.7962627410888672s
Received healthy response to inference request in 1.4695494174957275s
Received healthy response to inference request in 1.755138635635376s
Received healthy response to inference request in 1.6911168098449707s
5 requests
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5th percentile: 1.5138628959655762
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90th percentile: 2.067299318313599
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mean time: 1.792011594772339
Pipeline stage StressChecker completed in 10.33s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.28s
Shutdown handler de-registered
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service mistralai-mistral-nemo-9330-v128-profiler
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Tearing down inference service mistralai-mistral-nemo-9330-v128-profiler
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Cleaning model data from S3
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Pipeline stage MKMLDeleter completed in 21.86s
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Pipeline stage MKMLDeleter completed in 10.89s
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Pipeline stage MKMLModelDeleter completed in 27.95s
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