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-54657-v24-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v24-mkmlizer to finish
junhua024-chai-02-full-54657-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v24-mkmlizer: ║ ║
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junhua024-chai-02-full-54657-v24-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-54657-v24-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-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-54657-v24-mkmlizer: Downloaded to shared memory in 80.972s
junhua024-chai-02-full-54657-v24-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpzfg98ljj, device:0
junhua024-chai-02-full-54657-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-02-full-54657-v24-mkmlizer: quantized model in 162.054s
junhua024-chai-02-full-54657-v24-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 243.116s
junhua024-chai-02-full-54657-v24-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v24-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v24-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v24/nvidia
junhua024-chai-02-full-54657-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v24/nvidia/config.json
junhua024-chai-02-full-54657-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v24/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v24/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v24/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v24-mkmlizer:
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Job junhua024-chai-02-full-54657-v24-mkmlizer completed after 274.23s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v24-mkmlizer
Pipeline stage MKMLizer completed in 274.85s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v24
Waiting for inference service junhua024-chai-02-full-54657-v24 to be ready
Inference service junhua024-chai-02-full-54657-v24 ready after 180.64470863342285s
Pipeline stage MKMLDeployer completed in 181.57s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.2969651222229004s
Received healthy response to inference request in 2.413079023361206s
Received healthy response to inference request in 1.529970407485962s
Received healthy response to inference request in 2.725846529006958s
5 requests
1 failed requests
5th percentile: 1.7065921306610108
10th percentile: 1.8832138538360597
20th percentile: 2.2364573001861574
30th percentile: 2.4756325244903565
40th percentile: 2.600739526748657
50th percentile: 2.725846529006958
60th percentile: 2.954293966293335
70th percentile: 3.182741403579712
80th percentile: 6.717784357070926
90th percentile: 13.55942282676697
95th percentile: 16.980242061614987
99th percentile: 19.71689744949341
mean time: 6.073384475708008
%s, retrying in %s seconds...
Received healthy response to inference request in 2.564253330230713s
Received healthy response to inference request in 2.73224139213562s
Received healthy response to inference request in 2.631037712097168s
Received healthy response to inference request in 2.539304494857788s
Received healthy response to inference request in 1.2495038509368896s
5 requests
0 failed requests
5th percentile: 1.5074639797210694
10th percentile: 1.7654241085052491
20th percentile: 2.2813443660736086
30th percentile: 2.544294261932373
40th percentile: 2.554273796081543
50th percentile: 2.564253330230713
60th percentile: 2.590967082977295
70th percentile: 2.6176808357238768
80th percentile: 2.6512784481048586
90th percentile: 2.6917599201202393
95th percentile: 2.7120006561279295
99th percentile: 2.728193244934082
mean time: 2.3432681560516357
Pipeline stage StressChecker completed in 45.12s
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 0.72s
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_54657_v24 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v24-profiler
Waiting for inference service junhua024-chai-02-full-54657-v24-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5343.22s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v24 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v24 status is now torndown due to DeploymentManager action