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Running pipeline stage MKMLizer
Starting job with name riverise-mistral-0920-7872-v2-mkmlizer
Waiting for job on riverise-mistral-0920-7872-v2-mkmlizer to finish
riverise-mistral-0920-7872-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-mistral-0920-7872-v2-mkmlizer: ║ _____ __ __ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ /___/ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ Version: 0.11.12 ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ https://mk1.ai ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ belonging to: ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ Chai Research Corp. ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
riverise-mistral-0920-7872-v2-mkmlizer: ║ ║
riverise-mistral-0920-7872-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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riverise-mistral-0920-7872-v2-mkmlizer: quantized model in 35.729s
riverise-mistral-0920-7872-v2-mkmlizer: Processed model Riverise/mistral_0920_7872 in 80.292s
riverise-mistral-0920-7872-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-mistral-0920-7872-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-mistral-0920-7872-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/special_tokens_map.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/config.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/tokenizer_config.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/tokenizer.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/flywheel_model.0.safetensors
riverise-mistral-0920-7872-v2-mkmlizer:
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Job riverise-mistral-0920-7872-v2-mkmlizer completed after 105.15s with status: succeeded
Stopping job with name riverise-mistral-0920-7872-v2-mkmlizer
Pipeline stage MKMLizer completed in 106.24s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service riverise-mistral-0920-7872-v2
Waiting for inference service riverise-mistral-0920-7872-v2 to be ready
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Inference service riverise-mistral-0920-7872-v2 ready after 212.18562865257263s
Pipeline stage MKMLDeployer completed in 212.54s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.2879719734191895s
Received healthy response to inference request in 2.3835458755493164s
Received healthy response to inference request in 2.1754584312438965s
Received healthy response to inference request in 2.750760793685913s
Received healthy response to inference request in 1.9223580360412598s
5 requests
0 failed requests
5th percentile: 1.972978115081787
10th percentile: 2.0235981941223145
20th percentile: 2.124838352203369
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70th percentile: 2.6773178100585935
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90th percentile: 3.0730875015258787
95th percentile: 3.180529737472534
99th percentile: 3.2664835262298584
mean time: 2.504019021987915
Pipeline stage StressChecker completed in 15.99s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.29s
Shutdown handler de-registered
riverise-mistral-0920-7872_v2 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service riverise-mistral-0920-7872-v2-profiler
Waiting for inference service riverise-mistral-0920-7872-v2-profiler to be ready
Inference service riverise-mistral-0920-7872-v2-profiler ready after 210.55080819129944s
Pipeline stage MKMLProfilerDeployer completed in 210.89s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx:/code/chaiverse_profiler_1727254171 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727254171 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727254171/summary.json'
kubectl exec -it riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727254171/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1166.17s
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Running pipeline stage MKMLProfilerDeleter
Checking if service riverise-mistral-0920-7872-v2-profiler is running
Tearing down inference service riverise-mistral-0920-7872-v2-profiler
Service riverise-mistral-0920-7872-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.30s
Shutdown handler de-registered
riverise-mistral-0920-7872_v2 status is now inactive due to auto deactivation removed underperforming models
riverise-mistral-0920-7872_v2 status is now torndown due to DeploymentManager action