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-v32-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v32-mkmlizer to finish
junhua024-chai-02-full-54657-v32-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v32-mkmlizer: ║ ║
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junhua024-chai-02-full-54657-v32-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-54657-v32-mkmlizer: ║ ║
junhua024-chai-02-full-54657-v32-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-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-v32-mkmlizer: Downloaded to shared memory in 74.150s
junhua024-chai-02-full-54657-v32-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v32-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpms5tnsx9, device:0
junhua024-chai-02-full-54657-v32-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
Failed to get response for submission blend_fihal_2025-07-23: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-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 0x748cee0dccd0>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-02-full-54657-v32-mkmlizer: quantized model in 167.279s
junhua024-chai-02-full-54657-v32-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 241.508s
junhua024-chai-02-full-54657-v32-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v32-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v32-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia
junhua024-chai-02-full-54657-v32-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia/config.json
junhua024-chai-02-full-54657-v32-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v32/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v32-mkmlizer completed after 262.92s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v32-mkmlizer
Pipeline stage MKMLizer completed in 263.48s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v32
Waiting for inference service junhua024-chai-02-full-54657-v32 to be ready
Inference service junhua024-chai-02-full-54657-v32 ready after 190.93579053878784s
Pipeline stage MKMLDeployer completed in 191.41s
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 3.227785110473633s
Received healthy response to inference request in 1.5578515529632568s
Received healthy response to inference request in 3.048832893371582s
Received healthy response to inference request in 1.0809311866760254s
5 requests
1 failed requests
5th percentile: 1.1763152599334716
10th percentile: 1.2716993331909179
20th percentile: 1.4624674797058106
30th percentile: 1.8560478210449218
40th percentile: 2.452440357208252
50th percentile: 3.048832893371582
60th percentile: 3.1204137802124023
70th percentile: 3.1919946670532227
80th percentile: 6.623230552673343
90th percentile: 13.414121437072755
95th percentile: 16.80956687927246
99th percentile: 19.525923233032227
mean time: 5.824082612991333
%s, retrying in %s seconds...
Received healthy response to inference request in 2.3678817749023438s
Received healthy response to inference request in 1.1349265575408936s
Received healthy response to inference request in 1.146188497543335s
Received healthy response to inference request in 1.2708125114440918s
Received healthy response to inference request in 2.635748863220215s
5 requests
0 failed requests
5th percentile: 1.1371789455413819
10th percentile: 1.1394313335418702
20th percentile: 1.1439361095428466
30th percentile: 1.1711133003234864
40th percentile: 1.220962905883789
50th percentile: 1.2708125114440918
60th percentile: 1.7096402168273925
70th percentile: 2.1484679222106933
80th percentile: 2.421455192565918
90th percentile: 2.5286020278930663
95th percentile: 2.582175445556641
99th percentile: 2.6250341796875
mean time: 1.7111116409301759
Pipeline stage StressChecker completed in 40.69s
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 0.77s
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 1.19s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v32 status is now deployed due to DeploymentManager action
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 5277.53s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v32 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v32 status is now torndown due to DeploymentManager action