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Running pipeline stage MKMLizer
Starting job with name riverise-cap-cop-dpo-be-62133-v1-mkmlizer
Waiting for job on riverise-cap-cop-dpo-be-62133-v1-mkmlizer to finish
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riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Version: 0.27.1+vampire_v3 ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ https://mk1.ai ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ belonging to: ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Chai Research Corp. ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ║ ║
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: Downloaded to shared memory in 42.938s
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6ozh4t0j, device:0
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: quantized model in 30.495s
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: Processed model Riverise/cap_cop_dpo_beta0.7_captain_dpo_4w_data_checkpoint-2200 in 73.434s
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1/config.json
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1/special_tokens_map.json
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1/tokenizer_config.json
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1/tokenizer.json
riverise-cap-cop-dpo-be-62133-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-cap-cop-dpo-be-62133-v1/flywheel_model.0.safetensors
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Job riverise-cap-cop-dpo-be-62133-v1-mkmlizer completed after 94.53s with status: succeeded
Stopping job with name riverise-cap-cop-dpo-be-62133-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.03s
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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-cap-cop-dpo-be-62133-v1
Waiting for inference service riverise-cap-cop-dpo-be-62133-v1 to be ready
Inference service riverise-cap-cop-dpo-be-62133-v1 ready after 120.5057806968689s
Pipeline stage MKMLDeployer completed in 121.05s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1531734466552734s
Received healthy response to inference request in 1.5206010341644287s
Received healthy response to inference request in 1.3908820152282715s
Received healthy response to inference request in 1.477975606918335s
Received healthy response to inference request in 1.188488245010376s
5 requests
0 failed requests
5th percentile: 1.2289669990539551
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20th percentile: 1.3504032611846923
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40th percentile: 1.4431381702423096
50th percentile: 1.477975606918335
60th percentile: 1.4950257778167724
70th percentile: 1.51207594871521
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90th percentile: 1.9001444816589357
95th percentile: 2.0266589641571042
99th percentile: 2.1278705501556394
mean time: 1.5462240695953369
Pipeline stage StressChecker completed in 8.91s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.66s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
Shutdown handler de-registered
riverise-cap-cop-dpo-be_62133_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
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clean up pipeline due to error=DeploymentError('401\nReason: Unauthorized\nHTTP response headers: HTTPHeaderDict({\'Audit-Id\': \'7081374f-ae84-42ed-a5a6-f05e998cce45\', \'Cache-Control\': \'no-cache, private\', \'Content-Type\': \'application/json\', \'Date\': \'Thu, 19 Jun 2025 09:03:10 GMT\', \'Content-Length\': \'129\'})\nHTTP response body: b\'{"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"Unauthorized","reason":"Unauthorized","code":401}\\n\'\nOriginal traceback: \n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/dynamic/client.py", line 55, in inner\n resp = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/dynamic/client.py", line 273, in request\n api_response = self.client.call_api(\n ^^^^^^^^^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/client/api_client.py", line 348, in call_api\n return self.__call_api(resource_path, method,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/client/api_client.py", line 180, in __call_api\n response_data = self.request(\n ^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/client/api_client.py", line 373, in request\n return self.rest_client.GET(url,\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/client/rest.py", line 244, in GET\n return self.request("GET", url,\n ^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/root/miniconda3/envs/guanaco/lib/python3.11/site-packages/kubernetes/client/rest.py", line 238, in request\n raise ApiException(http_resp=r)\n')
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
Shutdown handler de-registered
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2888.26s
Shutdown handler de-registered
riverise-cap-cop-dpo-be_62133_v1 status is now inactive due to auto deactivation removed underperforming models
riverise-cap-cop-dpo-be_62133_v1 status is now torndown due to DeploymentManager action