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 cgato-nemo-12b-humanize-23144-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-23144-v1-mkmlizer to finish
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ _____ __ __ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-23144-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-23144-v1-mkmlizer: Downloaded to shared memory in 48.253s
cgato-nemo-12b-humanize-23144-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphv0btygw, device:0
cgato-nemo-12b-humanize-23144-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-23144-v1-mkmlizer: quantized model in 34.615s
cgato-nemo-12b-humanize-23144-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-SFT-v0.2-WTF in 82.869s
cgato-nemo-12b-humanize-23144-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-23144-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-23144-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1
cgato-nemo-12b-humanize-23144-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1/config.json
cgato-nemo-12b-humanize-23144-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1/special_tokens_map.json
cgato-nemo-12b-humanize-23144-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1/tokenizer_config.json
cgato-nemo-12b-humanize-23144-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1/tokenizer.json
cgato-nemo-12b-humanize-23144-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-23144-v1/flywheel_model.0.safetensors
cgato-nemo-12b-humanize-23144-v1-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:10, 35.00it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:06, 56.53it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:06, 50.55it/s]
Loading 0: 7%|▋ | 25/363 [00:00<00:06, 51.44it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.93it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 48.93it/s]
Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 50.72it/s]
Loading 0: 13%|█▎ | 49/363 [00:00<00:05, 53.07it/s]
Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 51.21it/s]
Loading 0: 17%|█▋ | 61/363 [00:01<00:07, 37.76it/s]
Loading 0: 18%|█▊ | 66/363 [00:01<00:07, 38.45it/s]
Loading 0: 20%|█▉ | 72/363 [00:01<00:06, 43.24it/s]
Loading 0: 21%|██▏ | 78/363 [00:01<00:06, 43.73it/s]
Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 43.40it/s]
Loading 0: 25%|██▍ | 90/363 [00:01<00:05, 48.84it/s]
Loading 0: 26%|██▋ | 96/363 [00:02<00:05, 47.72it/s]
Loading 0: 28%|██▊ | 101/363 [00:02<00:05, 47.05it/s]
Loading 0: 30%|██▉ | 108/363 [00:02<00:04, 52.69it/s]
Loading 0: 31%|███▏ | 114/363 [00:02<00:05, 48.08it/s]
Loading 0: 33%|███▎ | 119/363 [00:02<00:05, 46.81it/s]
Loading 0: 35%|███▍ | 126/363 [00:02<00:04, 50.66it/s]
Loading 0: 36%|███▋ | 132/363 [00:02<00:04, 48.20it/s]
Loading 0: 38%|███▊ | 137/363 [00:02<00:04, 46.71it/s]
Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 35.24it/s]
Loading 0: 40%|████ | 146/363 [00:03<00:06, 35.39it/s]
Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 34.54it/s]
Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 40.45it/s]
Loading 0: 44%|████▍ | 161/363 [00:03<00:04, 42.17it/s]
Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 44.12it/s]
Loading 0: 47%|████▋ | 172/363 [00:03<00:04, 43.30it/s]
Loading 0: 49%|████▉ | 177/363 [00:03<00:04, 41.68it/s]
Loading 0: 51%|█████ | 184/363 [00:04<00:03, 47.35it/s]
Loading 0: 52%|█████▏ | 190/363 [00:04<00:03, 46.44it/s]
Loading 0: 54%|█████▎ | 195/363 [00:04<00:03, 43.27it/s]
Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 48.21it/s]
Loading 0: 57%|█████▋ | 208/363 [00:04<00:03, 46.61it/s]
Loading 0: 59%|█████▊ | 213/363 [00:04<00:03, 45.74it/s]
Loading 0: 61%|██████ | 220/363 [00:04<00:02, 51.31it/s]
Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 33.35it/s]
Loading 0: 64%|██████▎ | 231/363 [00:05<00:03, 34.48it/s]
Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 39.55it/s]
Loading 0: 67%|██████▋ | 242/363 [00:05<00:02, 41.49it/s]
Loading 0: 68%|██████▊ | 248/363 [00:05<00:02, 40.00it/s]
Loading 0: 71%|███████ | 256/363 [00:05<00:02, 48.15it/s]
Loading 0: 72%|███████▏ | 262/363 [00:05<00:02, 47.10it/s]
Loading 0: 74%|███████▍ | 268/363 [00:06<00:01, 47.97it/s]
Loading 0: 75%|███████▌ | 274/363 [00:06<00:01, 50.85it/s]
Loading 0: 77%|███████▋ | 280/363 [00:06<00:01, 48.39it/s]
Loading 0: 79%|███████▉ | 286/363 [00:06<00:01, 49.48it/s]
Loading 0: 80%|████████ | 292/363 [00:06<00:01, 50.60it/s]
Loading 0: 82%|████████▏ | 298/363 [00:06<00:01, 48.88it/s]
Loading 0: 84%|████████▎ | 304/363 [00:13<00:20, 2.85it/s]
Loading 0: 85%|████████▍ | 308/363 [00:13<00:15, 3.58it/s]
Loading 0: 86%|████████▌ | 312/363 [00:13<00:11, 4.47it/s]
Loading 0: 88%|████████▊ | 319/363 [00:13<00:06, 6.87it/s]
Loading 0: 89%|████████▉ | 324/363 [00:13<00:04, 8.90it/s]
Loading 0: 91%|█████████ | 329/363 [00:14<00:02, 11.45it/s]
Loading 0: 92%|█████████▏| 334/363 [00:14<00:01, 14.59it/s]
Loading 0: 93%|█████████▎| 339/363 [00:14<00:01, 16.55it/s]
Loading 0: 95%|█████████▌| 346/363 [00:14<00:00, 22.68it/s]
Loading 0: 97%|█████████▋| 351/363 [00:14<00:00, 26.19it/s]
Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 29.97it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 32.35it/s]
Job cgato-nemo-12b-humanize-23144-v1-mkmlizer completed after 114.16s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-23144-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.61s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cgato-nemo-12b-humanize-23144-v1
Waiting for inference service cgato-nemo-12b-humanize-23144-v1 to be ready
Inference service cgato-nemo-12b-humanize-23144-v1 ready after 200.77764463424683s
Pipeline stage MKMLDeployer completed in 201.19s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6860740184783936s
Received healthy response to inference request in 2.0485010147094727s
Received healthy response to inference request in 1.655005693435669s
Received healthy response to inference request in 1.5866334438323975s
Received healthy response to inference request in 1.7200610637664795s
5 requests
0 failed requests
5th percentile: 1.6003078937530517
10th percentile: 1.613982343673706
20th percentile: 1.6413312435150147
30th percentile: 1.6680167675018311
40th percentile: 1.6940389156341553
50th percentile: 1.7200610637664795
60th percentile: 1.8514370441436767
70th percentile: 1.982813024520874
80th percentile: 2.176015615463257
90th percentile: 2.431044816970825
95th percentile: 2.5585594177246094
99th percentile: 2.6605710983276367
mean time: 1.9392550468444825
Pipeline stage StressChecker completed in 10.92s
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 0.67s
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 0.95s
Shutdown handler de-registered
cgato-nemo-12b-humanize_23144_v1 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 4914.42s
Shutdown handler de-registered
cgato-nemo-12b-humanize_23144_v1 status is now inactive due to auto deactivation removed underperforming models
cgato-nemo-12b-humanize_23144_v1 status is now torndown due to DeploymentManager action