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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name junhua024-chai-06-full-62114-v4-mkmlizer
Waiting for job on junhua024-chai-06-full-62114-v4-mkmlizer to finish
junhua024-chai-06-full-62114-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-62114-v4-mkmlizer: ║ ║
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junhua024-chai-06-full-62114-v4-mkmlizer: ║ ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ belonging to: ║
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junhua024-chai-06-full-62114-v4-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-06-full-62114-v4-mkmlizer: ║ ║
junhua024-chai-06-full-62114-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-v4-mkmlizer: Downloaded to shared memory in 77.369s
junhua024-chai-06-full-62114-v4-mkmlizer: Checking if junhua024/chai_06_full_02102_1219 already exists in ChaiML
junhua024-chai-06-full-62114-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdp57tg47, device:0
junhua024-chai-06-full-62114-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-62114-v4-mkmlizer: quantized model in 33.309s
junhua024-chai-06-full-62114-v4-mkmlizer: Processed model junhua024/chai_06_full_02102_1219 in 110.765s
junhua024-chai-06-full-62114-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-62114-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-62114-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v4/nvidia
junhua024-chai-06-full-62114-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v4/nvidia/config.json
junhua024-chai-06-full-62114-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v4/nvidia/special_tokens_map.json
junhua024-chai-06-full-62114-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v4/nvidia/tokenizer_config.json
junhua024-chai-06-full-62114-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-62114-v4-mkmlizer:
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Job junhua024-chai-06-full-62114-v4-mkmlizer completed after 141.98s with status: succeeded
Stopping job with name junhua024-chai-06-full-62114-v4-mkmlizer
Pipeline stage MKMLizer completed in 142.62s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-62114-v4
Waiting for inference service junhua024-chai-06-full-62114-v4 to be ready
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-1600_v17: HTTPConnectionPool(host='zmeeks-capitanito-53-1600-v17-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-1600_v17: HTTPConnectionPool(host='zmeeks-capitanito-53-1600-v17-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-1600_v17: HTTPConnectionPool(host='zmeeks-capitanito-53-1600-v17-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-2000_v8: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-62114-v4 ready after 292.28976798057556s
Pipeline stage MKMLDeployer completed in 293.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.84173321723938s
Received healthy response to inference request in 1.5116560459136963s
Received healthy response to inference request in 1.6877925395965576s
Received healthy response to inference request in 1.5991954803466797s
Received healthy response to inference request in 2.0388083457946777s
5 requests
0 failed requests
5th percentile: 1.529163932800293
10th percentile: 1.5466718196868896
20th percentile: 1.581687593460083
30th percentile: 1.6169148921966552
40th percentile: 1.6523537158966064
50th percentile: 1.6877925395965576
60th percentile: 1.8281988620758056
70th percentile: 1.9686051845550536
80th percentile: 2.1993933200836184
90th percentile: 2.520563268661499
95th percentile: 2.681148242950439
99th percentile: 2.809616222381592
mean time: 1.9358371257781983
Pipeline stage StressChecker completed in 12.54s
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 1.05s
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 1.13s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_v4 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3137.55s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_62114_v4 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_62114_v4 status is now torndown due to DeploymentManager action