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-06-full-95931-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-95931-v3-mkmlizer to finish
junhua024-chai-06-full-95931-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ belonging to: ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-06-full-95931-v3-mkmlizer: ║ ║
junhua024-chai-06-full-95931-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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`
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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-95931-v3-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`
Failed to get response for submission junhua024-chai-06-full-_95931_v2: HTTPConnectionPool(host='junhua024-chai-06-full-95931-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-95931-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-95931-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-95931-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia
junhua024-chai-06-full-95931-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia/config.json
junhua024-chai-06-full-95931-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-95931-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-95931-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia/tokenizer.json
junhua024-chai-06-full-95931-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-95931-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-95931-v3-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%| | 2/363 [00:00<00:24, 15.04it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:20, 17.53it/s]
Loading 0: 3%|▎ | 11/363 [00:00<00:10, 32.43it/s]
Loading 0: 4%|▍ | 15/363 [00:00<00:09, 34.88it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:11, 29.90it/s]
Loading 0: 6%|▋ | 23/363 [00:00<00:11, 29.66it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:07, 42.40it/s]
Loading 0: 10%|▉ | 36/363 [00:01<00:10, 30.52it/s]
Loading 0: 11%|█▏ | 41/363 [00:01<00:10, 30.85it/s]
Loading 0: 13%|█▎ | 49/363 [00:01<00:07, 41.11it/s]
Loading 0: 15%|█▍ | 54/363 [00:01<00:10, 30.54it/s]
Loading 0: 16%|█▋ | 59/363 [00:01<00:09, 32.51it/s]
Loading 0: 18%|█▊ | 65/363 [00:02<00:08, 33.79it/s]
Loading 0: 19%|█▉ | 69/363 [00:02<00:08, 32.91it/s]
Loading 0: 20%|██ | 74/363 [00:02<00:07, 36.17it/s]
Loading 0: 21%|██▏ | 78/363 [00:02<00:07, 35.81it/s]
Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 31.25it/s]
Loading 0: 24%|██▎ | 86/363 [00:02<00:08, 32.89it/s]
Loading 0: 25%|██▌ | 91/363 [00:02<00:07, 34.08it/s]
Loading 0: 27%|██▋ | 97/363 [00:02<00:07, 35.53it/s]
Loading 0: 28%|██▊ | 101/363 [00:03<00:07, 34.21it/s]
Loading 0: 29%|██▉ | 105/363 [00:03<00:08, 32.11it/s]
Loading 0: 31%|███ | 113/363 [00:03<00:06, 37.32it/s]
Loading 0: 32%|███▏ | 117/363 [00:03<00:08, 30.38it/s]
Loading 0: 34%|███▎ | 122/363 [00:03<00:07, 32.52it/s]
Loading 0: 35%|███▌ | 128/363 [00:03<00:06, 34.17it/s]
Loading 0: 36%|███▋ | 132/363 [00:03<00:06, 33.29it/s]
Loading 0: 38%|███▊ | 138/363 [00:04<00:06, 33.28it/s]
Loading 0: 39%|███▉ | 143/363 [00:04<00:06, 32.75it/s]
Loading 0: 41%|████ | 149/363 [00:04<00:06, 34.10it/s]
Loading 0: 43%|████▎ | 155/363 [00:04<00:05, 38.96it/s]
Loading 0: 44%|████▍ | 160/363 [00:04<00:05, 36.91it/s]
Loading 0: 45%|████▌ | 164/363 [00:04<00:05, 35.90it/s]
Loading 0: 46%|████▋ | 168/363 [00:05<00:05, 33.51it/s]
Loading 0: 48%|████▊ | 176/363 [00:05<00:04, 39.47it/s]
Loading 0: 50%|████▉ | 180/363 [00:05<00:05, 32.15it/s]
Loading 0: 51%|█████ | 185/363 [00:05<00:05, 33.72it/s]
Loading 0: 53%|█████▎ | 191/363 [00:05<00:05, 33.77it/s]
Loading 0: 54%|█████▎ | 195/363 [00:05<00:05, 32.82it/s]
Loading 0: 55%|█████▌ | 200/363 [00:05<00:04, 36.50it/s]
Loading 0: 56%|█████▌ | 204/363 [00:06<00:04, 37.33it/s]
Loading 0: 57%|█████▋ | 208/363 [00:06<00:04, 32.75it/s]
Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 31.60it/s]
Loading 0: 60%|██████ | 218/363 [00:06<00:03, 38.14it/s]
Loading 0: 61%|██████▏ | 223/363 [00:06<00:03, 36.21it/s]
Loading 0: 63%|██████▎ | 227/363 [00:06<00:03, 35.75it/s]
Loading 0: 64%|██████▎ | 231/363 [00:06<00:03, 33.37it/s]
Loading 0: 66%|██████▌ | 239/363 [00:06<00:03, 38.84it/s]
Loading 0: 67%|██████▋ | 243/363 [00:07<00:03, 31.06it/s]
Loading 0: 68%|██████▊ | 248/363 [00:07<00:03, 32.87it/s]
Loading 0: 70%|██████▉ | 254/363 [00:07<00:03, 34.40it/s]
Loading 0: 71%|███████ | 258/363 [00:07<00:03, 33.10it/s]
Loading 0: 72%|███████▏ | 263/363 [00:07<00:02, 36.11it/s]
Loading 0: 74%|███████▍ | 268/363 [00:07<00:02, 34.40it/s]
Loading 0: 75%|███████▍ | 272/363 [00:08<00:02, 35.16it/s]
Loading 0: 76%|███████▌ | 276/363 [00:08<00:02, 33.16it/s]
Loading 0: 77%|███████▋ | 281/363 [00:08<00:02, 36.91it/s]
Loading 0: 79%|███████▉ | 286/363 [00:08<00:02, 35.11it/s]
Loading 0: 80%|███████▉ | 290/363 [00:08<00:02, 34.77it/s]
Loading 0: 81%|████████ | 294/363 [00:08<00:02, 32.82it/s]
Loading 0: 83%|████████▎ | 302/363 [00:08<00:01, 38.96it/s]
Loading 0: 84%|████████▍ | 306/363 [00:09<00:01, 31.71it/s]
Loading 0: 86%|████████▌ | 311/363 [00:09<00:01, 32.14it/s]
Loading 0: 87%|████████▋ | 317/363 [00:09<00:01, 34.01it/s]
Loading 0: 88%|████████▊ | 321/363 [00:09<00:01, 33.01it/s]
Loading 0: 90%|████████▉ | 326/363 [00:09<00:01, 36.34it/s]
Loading 0: 91%|█████████ | 330/363 [00:09<00:00, 36.26it/s]
Loading 0: 92%|█████████▏| 334/363 [00:09<00:00, 31.84it/s]
Loading 0: 93%|█████████▎| 338/363 [00:09<00:00, 31.18it/s]
Loading 0: 95%|█████████▍| 344/363 [00:10<00:00, 36.74it/s]
Loading 0: 96%|█████████▌| 349/363 [00:10<00:00, 25.25it/s]
Loading 0: 97%|█████████▋| 353/363 [00:10<00:00, 23.25it/s]
Loading 0: 98%|█████████▊| 357/363 [00:10<00:00, 25.03it/s]
Job junhua024-chai-06-full-95931-v3-mkmlizer completed after 139.01s with status: succeeded
Stopping job with name junhua024-chai-06-full-95931-v3-mkmlizer
Pipeline stage MKMLizer completed in 139.73s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.28s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-95931-v3
Waiting for inference service junhua024-chai-06-full-95931-v3 to be ready
Failed to get response for submission chaiml-simon-ghost-rile_65921_v1: HTTPConnectionPool(host='chaiml-simon-ghost-rile-65921-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-12-full-_19228_v2: HTTPConnectionPool(host='junhua024-chai-12-full-19228-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp188-sft-gy_24525_v1: HTTPConnectionPool(host='chaiml-gy-exp188-sft-gy-24525-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_95931_v1: HTTPConnectionPool(host='junhua024-chai-06-full-95931-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_95931_v1: HTTPConnectionPool(host='junhua024-chai-06-full-95931-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-simon-ghost-rile_65921_v1: HTTPConnectionPool(host='chaiml-simon-ghost-rile-65921-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp188-sft-gy_24525_v1: HTTPConnectionPool(host='chaiml-gy-exp188-sft-gy-24525-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-simon-ghost-rile_65921_v1: HTTPConnectionPool(host='chaiml-simon-ghost-rile-65921-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-95931-v3 ready after 331.4518151283264s
Pipeline stage MKMLDeployer completed in 332.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4801530838012695s
Received healthy response to inference request in 1.8269331455230713s
Received healthy response to inference request in 1.6894330978393555s
Received healthy response to inference request in 1.891662836074829s
Received healthy response to inference request in 1.6800477504730225s
5 requests
0 failed requests
5th percentile: 1.681924819946289
10th percentile: 1.6838018894195557
20th percentile: 1.6875560283660889
30th percentile: 1.7169331073760987
40th percentile: 1.771933126449585
50th percentile: 1.8269331455230713
60th percentile: 1.8528250217437745
70th percentile: 1.8787168979644775
80th percentile: 2.0093608856201173
90th percentile: 2.244756984710693
95th percentile: 2.3624550342559814
99th percentile: 2.456613473892212
mean time: 1.9136459827423096
Pipeline stage StressChecker completed in 11.15s
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 0.97s
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 0.71s
Shutdown handler de-registered
junhua024-chai-06-full-_95931_v3 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 3198.14s
Shutdown handler de-registered
junhua024-chai-06-full-_95931_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_95931_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_95931_v3 status is now torndown due to DeploymentManager action