junhua024-chai-02-full-062

developer_uid: junhua024
submission_id: junhua024-chai-02-full-062_v4
model_name: junhua024-chai-02-full-062_v4
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-23T06:53:07+00:00
num_battles: 5475
num_wins: 2656
celo_rating: 1269.0
family_friendly_score: 0.5472
family_friendly_standard_error: 0.0070394908906823645
submission_type: basic
model_repo: junhua024/chai_02_full_062
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6649761357378631, 'latency_mean': 1.503692101240158, 'latency_p50': 1.4900246858596802, 'latency_p90': 1.6519078254699706}, {'batch_size': 3, 'throughput': 1.1477871109494766, 'latency_mean': 2.606156668663025, 'latency_p50': 2.5899611711502075, 'latency_p90': 2.95494863986969}, {'batch_size': 5, 'throughput': 1.3266016689084104, 'latency_mean': 3.7518793404102326, 'latency_p50': 3.738141894340515, 'latency_p90': 4.224698948860168}, {'batch_size': 6, 'throughput': 1.3899629174399384, 'latency_mean': 4.295856293439865, 'latency_p50': 4.278093338012695, 'latency_p90': 4.782458376884461}, {'batch_size': 8, 'throughput': 1.4343514660479426, 'latency_mean': 5.54037247300148, 'latency_p50': 5.561525940895081, 'latency_p90': 6.1848596096038815}, {'batch_size': 10, 'throughput': 1.4827708190839688, 'latency_mean': 6.694144157171249, 'latency_p50': 6.719014286994934, 'latency_p90': 7.559196400642395}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-062_v4
is_internal_developer: False
language_model: junhua024/chai_02_full_062
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-22
win_ratio: 0.48511415525114154
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
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 junhua024-chai-02-full-062-v4-mkmlizer
Waiting for job on junhua024-chai-02-full-062-v4-mkmlizer to finish
junhua024-chai-02-full-062-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-062-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-062-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-062-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-062-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-062-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-062-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-062-v4-mkmlizer: Downloaded to shared memory in 120.221s
junhua024-chai-02-full-062-v4-mkmlizer: Checking if junhua024/chai_02_full_062 already exists in ChaiML
junhua024-chai-02-full-062-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0ga8qrvx, device:0
junhua024-chai-02-full-062-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_fader_2025-07-10: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v67-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x70a5ac5c8cd0>, 'Connection to nitral-ai-captain-bmo-12b-v67-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-02-full-062-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-062-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-062-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia
junhua024-chai-02-full-062-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia/special_tokens_map.json
junhua024-chai-02-full-062-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia/config.json
junhua024-chai-02-full-062-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia/tokenizer_config.json
junhua024-chai-02-full-062-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia/tokenizer.json
junhua024-chai-02-full-062-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-062-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-062-v4-mkmlizer: 
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Job junhua024-chai-02-full-062-v4-mkmlizer completed after 315.63s with status: succeeded
Stopping job with name junhua024-chai-02-full-062-v4-mkmlizer
Pipeline stage MKMLizer completed in 316.25s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.47s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-062-v4
Waiting for inference service junhua024-chai-02-full-062-v4 to be ready
Inference service junhua024-chai-02-full-062-v4 ready after 170.80841827392578s
Pipeline stage MKMLDeployer completed in 171.72s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.78156042098999s
Received healthy response to inference request in 1.533468246459961s
Received healthy response to inference request in 1.5533332824707031s
Received healthy response to inference request in 1.4070775508880615s
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Received healthy response to inference request in 1.567922592163086s
5 requests
0 failed requests
5th percentile: 1.4323556900024415
10th percentile: 1.4576338291168214
20th percentile: 1.508190107345581
30th percentile: 1.5374412536621094
40th percentile: 1.5453872680664062
50th percentile: 1.5533332824707031
60th percentile: 1.5591690063476562
70th percentile: 1.5650047302246093
80th percentile: 2.2106501579284674
90th percentile: 3.496105289459229
95th percentile: 4.138832855224608
99th percentile: 4.653014907836914
mean time: 2.1686724185943604
Pipeline stage StressChecker completed in 12.53s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.80s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.76s
Shutdown handler de-registered
junhua024-chai-02-full-062_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3113.93s
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junhua024-chai-02-full-062_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of junhua024-chai-02-full-062_v4
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Running pipeline stage MKMLDeleter
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-02-full-062_v4
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
junhua024-chai-02-full-062_v4 status is now torndown due to DeploymentManager action