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Running pipeline stage MKMLizer
Starting job with name rica40325-filter-mulsft-88200-v1-mkmlizer
Waiting for job on rica40325-filter-mulsft-88200-v1-mkmlizer to finish
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rica40325-filter-mulsft-88200-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Version: 0.27.1+vampire_v3 ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ belonging to: ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-88200-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filter-mulsft-88200-v1-mkmlizer: Downloaded to shared memory in 79.899s
rica40325-filter-mulsft-88200-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptxfo4gyl, device:0
rica40325-filter-mulsft-88200-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filter-mulsft-88200-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
rica40325-filter-mulsft-88200-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-filter-mulsft-88200-v1-mkmlizer: quantized model in 35.369s
rica40325-filter-mulsft-88200-v1-mkmlizer: Processed model rica40325/filter-mulsft-v5-100 in 115.269s
rica40325-filter-mulsft-88200-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filter-mulsft-88200-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filter-mulsft-88200-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filter-mulsft-88200-v1
rica40325-filter-mulsft-88200-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filter-mulsft-88200-v1/config.json
rica40325-filter-mulsft-88200-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filter-mulsft-88200-v1/special_tokens_map.json
rica40325-filter-mulsft-88200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filter-mulsft-88200-v1/tokenizer_config.json
rica40325-filter-mulsft-88200-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filter-mulsft-88200-v1/flywheel_model.0.safetensors
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Job rica40325-filter-mulsft-88200-v1-mkmlizer completed after 135.79s with status: succeeded
Stopping job with name rica40325-filter-mulsft-88200-v1-mkmlizer
Pipeline stage MKMLizer completed in 136.56s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-filter-mulsft-88200-v1
Waiting for inference service rica40325-filter-mulsft-88200-v1 to be ready
Inference service rica40325-filter-mulsft-88200-v1 ready after 110.54226970672607s
Pipeline stage MKMLDeployer completed in 111.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2691869735717773s
Received healthy response to inference request in 1.56817626953125s
Received healthy response to inference request in 1.6719110012054443s
Received healthy response to inference request in 1.5689866542816162s
Received healthy response to inference request in 1.5951800346374512s
5 requests
0 failed requests
5th percentile: 1.5683383464813232
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70th percentile: 1.6565648078918458
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90th percentile: 2.030276584625244
95th percentile: 2.1497317790985107
99th percentile: 2.245295934677124
mean time: 1.7346881866455077
Pipeline stage StressChecker completed in 10.37s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
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clean up pipeline due to error=DeploymentError('401\nReason: Unauthorized\nHTTP response headers: HTTPHeaderDict({\'Audit-Id\': \'b8e6ae40-fa52-4181-b2d4-ef13e0fbc27d\', \'Cache-Control\': \'no-cache, private\', \'Content-Type\': \'application/json\', \'Date\': \'Thu, 19 Jun 2025 07:36:05 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 OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4128.75s
Shutdown handler de-registered
rica40325-filter-mulsft_88200_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-filter-mulsft_88200_v1 status is now torndown due to DeploymentManager action