Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-sma-53415-v121-mkmlizer
Waiting for job on mistralai-mistral-sma-53415-v121-mkmlizer to finish
mistralai-mistral-sma-53415-v121-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
mistralai-mistral-sma-53415-v121-mkmlizer: bash: no job control in this shell
mistralai-mistral-sma-53415-v121-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
mistralai-mistral-sma-53415-v121-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
mistralai-mistral-sma-53415-v121-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Version: 0.30.6+torch280 ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ belonging to: ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
mistralai-mistral-sma-53415-v121-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v121-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-sma-53415-v121-mkmlizer: Downloaded to shared memory in 58.428s
mistralai-mistral-sma-53415-v121-mkmlizer: Checking if mistralai/Mistral-Small-Instruct-2409 already exists in ChaiML
mistralai-mistral-sma-53415-v121-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp89bym9mr, device:0
mistralai-mistral-sma-53415-v121-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-sma-53415-v121-mkmlizer:
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mistralai-mistral-sma-53415-v121-mkmlizer: quantized model in 270.649s
mistralai-mistral-sma-53415-v121-mkmlizer: Processed model mistralai/Mistral-Small-Instruct-2409 in 329.108s
mistralai-mistral-sma-53415-v121-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-sma-53415-v121-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-sma-53415-v121-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/config.json
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/special_tokens_map.json
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/chat_template.jinja
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/tokenizer_config.json
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/tokenizer.model
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/tokenizer.json
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/flywheel_model.1.safetensors
mistralai-mistral-sma-53415-v121-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v121/nvidia/flywheel_model.0.safetensors
Job mistralai-mistral-sma-53415-v121-mkmlizer completed after 388.27s with status: succeeded
Stopping job with name mistralai-mistral-sma-53415-v121-mkmlizer
Pipeline stage MKMLizer completed in 388.76s
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Creating inference service mistralai-mistral-sma-53415-v121
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Inference service mistralai-mistral-sma-53415-v121 ready after 181.05165791511536s
Pipeline stage MKMLDeployer completed in 181.61s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.059908866882324s
Received healthy response to inference request in 2.0938377380371094s
Received healthy response to inference request in 2.203691244125366s
Received healthy response to inference request in 2.23616886138916s
Received healthy response to inference request in 2.124171018600464s
5 requests
0 failed requests
5th percentile: 2.066694641113281
10th percentile: 2.073480415344238
20th percentile: 2.0870519638061524
30th percentile: 2.0999043941497804
40th percentile: 2.112037706375122
50th percentile: 2.124171018600464
60th percentile: 2.155979108810425
70th percentile: 2.1877871990203857
80th percentile: 2.210186767578125
90th percentile: 2.2231778144836425
95th percentile: 2.2296733379364015
99th percentile: 2.2348697566986084
mean time: 2.1435555458068847
Pipeline stage StressChecker completed in 11.96s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.39s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
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mistralai-mistral-sma_53415_v121 status is now deployed due to DeploymentManager action
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 1883.86s
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mistralai-mistral-sma_53415_v121 status is now inactive due to auto deactivation removed underperforming models
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Creating inference service mistralai-mistral-sma-53415-v121-profiler
Waiting for inference service mistralai-mistral-sma-53415-v121-profiler to be ready
Inference service mistralai-mistral-sma-53415-v121-profiler ready after 162.3727650642395s
Pipeline stage MKMLProfilerDeployer completed in 163.85s
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Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo2zgvn:/code/chaiverse_profiler_1764637826 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo2zgvn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1764637826 && 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_1764637826/summary.json'
%s, retrying in %s seconds...
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo2zgvn:/code/chaiverse_profiler_1764637855 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplosp795:/code/chaiverse_profiler_1764637856 --namespace tenant-chaiml-guanaco
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nE1202 01:10:58.277099 14741 v2.go:150] "Unhandled Error" err="next reader: websocket: close 1006 (abnormal closure): unexpected EOF"\nE1202 01:10:58.277102 14741 v2.go:167] "Unhandled Error" err="next reader: websocket: close 1006 (abnormal closure): unexpected EOF"\nE1202 01:10:58.277155 14741 v2.go:129] "Unhandled Error" err="next reader: websocket: close 1006 (abnormal closure): unexpected EOF"\nerror: error reading from error stream: next reader: websocket: close 1006 (abnormal closure): unexpected EOF\n, output: ')
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Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mistral-sma-53415-v121-profiler is running
Tearing down inference service mistralai-mistral-sma-53415-v121-profiler
Service mistralai-mistral-sma-53415-v121-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.34s
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Pipeline stage MKMLProfilerDeleter completed in 1.30s
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clean up pipeline due to error=KubeFormatError("kube_kwargs keys do not match the kube template, expected: {'presence_penalty', 'additional_isvc_labels', 'stopping_words', 's3_secret_key', 'profile', 'num_gpus', 'endpoint', 'priority_class_name', 'temperature', 'upload_folder', 'download_to_local', 'memory', 'preferred_gpu_type', 'docker_image', 's3_access_key', 'max_cached_responses', 'frequency_penalty', 'min_p', 'cpus', 'model_bucket', 's3_endpoint', 'top_k', 'min_replicas', 'gpu_type', 'max_input_tokens', 'target_latency', 'max_replicas', 'best_of', 'max_output_tokens', 'autoscaling_hard_target', 'top_p'}, given: {'presence_penalty', 'additional_isvc_labels', 'stopping_words', 's3_secret_key', 'profile', 'num_gpus', 'endpoint', 'priority_class_name', 'temperature', 'upload_folder', 'download_to_local', 'memory', 'preferred_gpu_type', 'docker_image', 's3_access_key', 'max_cached_responses', 'initial_scale', 'min_p', 'frequency_penalty', 'cpus', 'model_bucket', 's3_endpoint', 'top_k', 'min_replicas', 'gpu_type', 'max_input_tokens', 'target_latency', 'max_replicas', 'best_of', 'max_output_tokens', 'autoscaling_hard_target', 'top_p'}")
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Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mistral-sma-53415-v121-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 1.42s
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Checking if service mistralai-mistral-sma-53415-v121-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 0.91s
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Pipeline stage MKMLProfilerTemplater completed in 0.29s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-sma-53415-v121-profiler
Waiting for inference service mistralai-mistral-sma-53415-v121-profiler to be ready
Inference service mistralai-mistral-sma-53415-v121-profiler ready after 173.19655776023865s
Pipeline stage MKMLProfilerDeployer completed in 174.36s
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Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo57wlm:/code/chaiverse_profiler_1764638211 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo57wlm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1764638211 && 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_1764638211/summary.json'
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it mistralai-mistral-sm01f29add24eb66b9c7e43e4988003ca2-deplo57wlm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1764638211/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1025.14s
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