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-19dp05-v1-mkmlizer
Waiting for job on junhua024-chai-19dp05-v1-mkmlizer to finish
junhua024-chai-19dp05-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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junhua024-chai-19dp05-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-19dp05-v1-mkmlizer: ║ ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-19dp05-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-19dp05-v1-mkmlizer: ║ ║
junhua024-chai-19dp05-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-19dp05-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-19dp05-v1-mkmlizer: ║ ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-19dp05-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-19dp05-v1-mkmlizer: ║ ║
junhua024-chai-19dp05-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-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-19dp05-v1-mkmlizer: Downloaded to shared memory in 115.289s
junhua024-chai-19dp05-v1-mkmlizer: Checking if junhua024/chai_19dp05 already exists in ChaiML
junhua024-chai-19dp05-v1-mkmlizer: Creating repo ChaiML/chai_19dp05 and uploading /tmp/tmphene0ff0 to it
junhua024-chai-19dp05-v1-mkmlizer:
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junhua024-chai-19dp05-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmphene0ff0, device:0
junhua024-chai-19dp05-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19dp05-v1-mkmlizer: quantized model in 160.740s
junhua024-chai-19dp05-v1-mkmlizer: Processed model junhua024/chai_19dp05 in 359.086s
junhua024-chai-19dp05-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19dp05-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19dp05-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia
junhua024-chai-19dp05-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia/special_tokens_map.json
junhua024-chai-19dp05-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia/config.json
junhua024-chai-19dp05-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia/tokenizer_config.json
junhua024-chai-19dp05-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia/tokenizer.json
junhua024-chai-19dp05-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19dp05-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-19dp05-v1-mkmlizer completed after 386.77s with status: succeeded
Stopping job with name junhua024-chai-19dp05-v1-mkmlizer
Pipeline stage MKMLizer completed in 387.42s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19dp05-v1
Waiting for inference service junhua024-chai-19dp05-v1 to be ready
Inference service junhua024-chai-19dp05-v1 ready after 211.0090503692627s
Pipeline stage MKMLDeployer completed in 211.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.926119804382324s
Received healthy response to inference request in 2.3279266357421875s
Received healthy response to inference request in 1.7758238315582275s
Received healthy response to inference request in 2.508180618286133s
Received healthy response to inference request in 1.856534719467163s
5 requests
0 failed requests
5th percentile: 1.7919660091400147
10th percentile: 1.8081081867218018
20th percentile: 1.840392541885376
30th percentile: 1.950813102722168
40th percentile: 2.1393698692321776
50th percentile: 2.3279266357421875
60th percentile: 2.4000282287597656
70th percentile: 2.4721298217773438
80th percentile: 2.5917684555053713
90th percentile: 2.7589441299438477
95th percentile: 2.8425319671630858
99th percentile: 2.9094022369384764
mean time: 2.278917121887207
Pipeline stage StressChecker completed in 12.95s
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 0.66s
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 0.94s
Shutdown handler de-registered
junhua024-chai-19dp05_v1 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-19dp05-v1-profiler
Waiting for inference service junhua024-chai-19dp05-v1-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 6115.50s
Shutdown handler de-registered
junhua024-chai-19dp05_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19dp05_v1 status is now torndown due to DeploymentManager action