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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-94469-v103-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v103-mkmlizer to finish
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junhua024-chai-1-full-94469-v103-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-94469-v103-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v103-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-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-1-full-94469-v103-mkmlizer: Downloaded to shared memory in 75.738s
junhua024-chai-1-full-94469-v103-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v103-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp50lzbkan, device:0
junhua024-chai-1-full-94469-v103-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v103-mkmlizer: quantized model in 31.587s
junhua024-chai-1-full-94469-v103-mkmlizer: Processed model junhua024/chai-1-full-066126 in 107.405s
junhua024-chai-1-full-94469-v103-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v103-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v103-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia
junhua024-chai-1-full-94469-v103-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia/config.json
junhua024-chai-1-full-94469-v103-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v103-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v103-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v103-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v103/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v103-mkmlizer:
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Job junhua024-chai-1-full-94469-v103-mkmlizer completed after 129.13s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v103-mkmlizer
Pipeline stage MKMLizer completed in 129.73s
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-1-full-94469-v103
Waiting for inference service junhua024-chai-1-full-94469-v103 to be ready
Inference service junhua024-chai-1-full-94469-v103 ready after 262.69795989990234s
Pipeline stage MKMLDeployer completed in 263.43s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.007951259613037s
Received healthy response to inference request in 1.9720237255096436s
Received healthy response to inference request in 1.6968762874603271s
Received healthy response to inference request in 1.591585636138916s
Received healthy response to inference request in 1.9333250522613525s
5 requests
0 failed requests
5th percentile: 1.6126437664031983
10th percentile: 1.6337018966674806
20th percentile: 1.6758181571960449
30th percentile: 1.7441660404205321
40th percentile: 1.8387455463409423
50th percentile: 1.9333250522613525
60th percentile: 1.9488045215606689
70th percentile: 1.9642839908599854
80th percentile: 2.1792092323303223
90th percentile: 2.5935802459716797
95th percentile: 2.8007657527923584
99th percentile: 2.966514158248901
mean time: 2.040352392196655
Pipeline stage StressChecker completed in 11.69s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.84s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.75s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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run pipeline %s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5025.38s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v103 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v103 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v103 status is now torndown due to DeploymentManager action