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 riverise-lima-safe-sft-v2-mkmlizer
Waiting for job on riverise-lima-safe-sft-v2-mkmlizer to finish
riverise-lima-safe-sft-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-lima-safe-sft-v2-mkmlizer: ║ _____ __ __ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
riverise-lima-safe-sft-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
riverise-lima-safe-sft-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ /___/ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ Version: 0.11.12 ║
riverise-lima-safe-sft-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
riverise-lima-safe-sft-v2-mkmlizer: ║ https://mk1.ai ║
riverise-lima-safe-sft-v2-mkmlizer: ║ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-lima-safe-sft-v2-mkmlizer: ║ belonging to: ║
riverise-lima-safe-sft-v2-mkmlizer: ║ ║
riverise-lima-safe-sft-v2-mkmlizer: ║ Chai Research Corp. ║
riverise-lima-safe-sft-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-lima-safe-sft-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
riverise-lima-safe-sft-v2-mkmlizer: ║ ║
riverise-lima-safe-sft-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-lima-safe-sft-v2-mkmlizer: Downloaded to shared memory in 96.378s
riverise-lima-safe-sft-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0gdt79fv, device:0
riverise-lima-safe-sft-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-lima-safe-sft-v2-mkmlizer: quantized model in 43.454s
riverise-lima-safe-sft-v2-mkmlizer: Processed model Riverise/lima_safe_sft in 139.832s
riverise-lima-safe-sft-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-lima-safe-sft-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-lima-safe-sft-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-lima-safe-sft-v2
riverise-lima-safe-sft-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-lima-safe-sft-v2/config.json
riverise-lima-safe-sft-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-lima-safe-sft-v2/special_tokens_map.json
riverise-lima-safe-sft-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-lima-safe-sft-v2/tokenizer_config.json
riverise-lima-safe-sft-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-lima-safe-sft-v2/tokenizer.json
riverise-lima-safe-sft-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-lima-safe-sft-v2/flywheel_model.0.safetensors
riverise-lima-safe-sft-v2-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:17, 20.88it/s]
Loading 0: 3%|▎ | 10/363 [00:00<00:13, 26.57it/s]
Loading 0: 4%|▍ | 14/363 [00:00<00:15, 23.06it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:11, 29.36it/s]
Loading 0: 6%|▋ | 23/363 [00:00<00:15, 22.19it/s]
Loading 0: 7%|▋ | 26/363 [00:01<00:17, 19.54it/s]
Loading 0: 9%|▊ | 31/363 [00:01<00:13, 24.94it/s]
Loading 0: 9%|▉ | 34/363 [00:01<00:13, 24.63it/s]
Loading 0: 11%|█ | 39/363 [00:01<00:11, 27.36it/s]
Loading 0: 12%|█▏ | 42/363 [00:01<00:13, 24.54it/s]
Loading 0: 13%|█▎ | 46/363 [00:01<00:11, 27.24it/s]
Loading 0: 14%|█▍ | 50/363 [00:02<00:13, 23.98it/s]
Loading 0: 15%|█▌ | 55/363 [00:02<00:10, 28.25it/s]
Loading 0: 17%|█▋ | 60/363 [00:02<00:10, 29.54it/s]
Loading 0: 18%|█▊ | 64/363 [00:02<00:15, 19.61it/s]
Loading 0: 19%|█▉ | 69/363 [00:02<00:12, 24.17it/s]
Loading 0: 20%|██ | 73/363 [00:02<00:12, 24.08it/s]
Loading 0: 21%|██ | 77/363 [00:03<00:12, 22.56it/s]
Loading 0: 23%|██▎ | 84/363 [00:03<00:09, 28.63it/s]
Loading 0: 24%|██▍ | 88/363 [00:03<00:10, 27.16it/s]
Loading 0: 25%|██▌ | 91/363 [00:03<00:09, 27.60it/s]
Loading 0: 26%|██▌ | 95/363 [00:03<00:10, 24.47it/s]
Loading 0: 28%|██▊ | 101/363 [00:04<00:11, 23.46it/s]
Loading 0: 29%|██▊ | 104/363 [00:04<00:12, 20.62it/s]
Loading 0: 30%|███ | 109/363 [00:04<00:09, 25.56it/s]
Loading 0: 31%|███ | 113/363 [00:04<00:10, 23.23it/s]
Loading 0: 33%|███▎ | 118/363 [00:04<00:08, 28.18it/s]
Loading 0: 34%|███▎ | 122/363 [00:04<00:09, 24.51it/s]
Loading 0: 35%|███▍ | 127/363 [00:05<00:08, 28.46it/s]
Loading 0: 36%|███▌ | 131/363 [00:05<00:09, 23.96it/s]
Loading 0: 37%|███▋ | 136/363 [00:05<00:08, 28.17it/s]
Loading 0: 39%|███▉ | 141/363 [00:05<00:07, 28.68it/s]
Loading 0: 40%|███▉ | 145/363 [00:05<00:10, 20.57it/s]
Loading 0: 41%|████ | 148/363 [00:06<00:09, 22.05it/s]
Loading 0: 42%|████▏ | 151/363 [00:06<00:09, 22.23it/s]
Loading 0: 42%|████▏ | 154/363 [00:06<00:08, 23.62it/s]
Loading 0: 44%|████▎ | 158/363 [00:06<00:09, 21.47it/s]
Loading 0: 45%|████▍ | 163/363 [00:06<00:07, 26.54it/s]
Loading 0: 46%|████▌ | 167/363 [00:06<00:08, 23.52it/s]
Loading 0: 47%|████▋ | 172/363 [00:06<00:06, 28.07it/s]
Loading 0: 48%|████▊ | 176/363 [00:07<00:07, 24.00it/s]
Loading 0: 50%|████▉ | 181/363 [00:07<00:06, 27.57it/s]
Loading 0: 51%|█████ | 185/363 [00:07<00:09, 18.68it/s]
Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 23.28it/s]
Loading 0: 53%|█████▎ | 194/363 [00:07<00:07, 21.92it/s]
Loading 0: 55%|█████▍ | 199/363 [00:08<00:06, 26.67it/s]
Loading 0: 56%|█████▌ | 203/363 [00:08<00:06, 23.97it/s]
Loading 0: 58%|█████▊ | 210/363 [00:08<00:05, 29.95it/s]
Loading 0: 59%|█████▉ | 214/363 [00:08<00:05, 27.94it/s]
Loading 0: 60%|██████ | 218/363 [00:08<00:05, 27.12it/s]
Loading 0: 61%|██████ | 222/363 [00:08<00:04, 29.59it/s]
Loading 0: 62%|██████▏ | 226/363 [00:09<00:06, 21.57it/s]
Loading 0: 63%|██████▎ | 230/363 [00:09<00:06, 20.81it/s]
Loading 0: 65%|██████▌ | 237/363 [00:09<00:04, 26.87it/s]
Loading 0: 66%|██████▋ | 241/363 [00:09<00:04, 25.80it/s]
Loading 0: 67%|██████▋ | 245/363 [00:09<00:04, 28.49it/s]
Loading 0: 69%|██████▊ | 249/363 [00:10<00:04, 25.02it/s]
Loading 0: 70%|██████▉ | 253/363 [00:10<00:03, 27.63it/s]
Loading 0: 71%|███████ | 257/363 [00:10<00:04, 24.30it/s]
Loading 0: 72%|███████▏ | 262/363 [00:10<00:03, 29.15it/s]
Loading 0: 73%|███████▎ | 266/363 [00:10<00:04, 19.79it/s]
Loading 0: 75%|███████▍ | 271/363 [00:10<00:03, 24.45it/s]
Loading 0: 76%|███████▌ | 275/363 [00:11<00:03, 22.22it/s]
Loading 0: 77%|███████▋ | 280/363 [00:11<00:03, 26.44it/s]
Loading 0: 78%|███████▊ | 284/363 [00:11<00:03, 23.83it/s]
Loading 0: 80%|███████▉ | 289/363 [00:11<00:02, 28.70it/s]
Loading 0: 81%|████████ | 293/363 [00:11<00:02, 25.03it/s]
Loading 0: 82%|████████▏ | 298/363 [00:11<00:02, 29.34it/s]
Loading 0: 83%|████████▎ | 303/363 [00:12<00:01, 30.38it/s]
Loading 0: 85%|████████▍ | 307/363 [00:12<00:02, 21.66it/s]
Loading 0: 86%|████████▌ | 311/363 [00:12<00:02, 20.90it/s]
Loading 0: 87%|████████▋ | 316/363 [00:12<00:01, 25.61it/s]
Loading 0: 88%|████████▊ | 320/363 [00:12<00:01, 23.18it/s]
Loading 0: 90%|████████▉ | 325/363 [00:13<00:01, 27.88it/s]
Loading 0: 91%|█████████ | 329/363 [00:13<00:01, 24.61it/s]
Loading 0: 92%|█████████▏| 334/363 [00:13<00:00, 29.02it/s]
Loading 0: 93%|█████████▎| 338/363 [00:13<00:00, 25.53it/s]
Loading 0: 94%|█████████▍| 343/363 [00:13<00:00, 30.36it/s]
Loading 0: 96%|█████████▌| 347/363 [00:20<00:07, 2.00it/s]
Loading 0: 96%|█████████▋| 350/363 [00:20<00:05, 2.52it/s]
Loading 0: 97%|█████████▋| 353/363 [00:20<00:03, 3.21it/s]
Loading 0: 98%|█████████▊| 357/363 [00:21<00:01, 4.37it/s]
Job riverise-lima-safe-sft-v2-mkmlizer completed after 165.53s with status: succeeded
Stopping job with name riverise-lima-safe-sft-v2-mkmlizer
Pipeline stage MKMLizer completed in 166.04s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service riverise-lima-safe-sft-v2
Waiting for inference service riverise-lima-safe-sft-v2 to be ready
Inference service riverise-lima-safe-sft-v2 ready after 351.82948064804077s
Pipeline stage MKMLDeployer completed in 352.35s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.132913589477539s
Received healthy response to inference request in 1.5849125385284424s
Received healthy response to inference request in 1.6333661079406738s
Received healthy response to inference request in 2.031954050064087s
Received healthy response to inference request in 2.3033857345581055s
5 requests
0 failed requests
5th percentile: 1.5946032524108886
10th percentile: 1.6042939662933349
20th percentile: 1.6236753940582276
30th percentile: 1.7130836963653564
40th percentile: 1.8725188732147218
50th percentile: 2.031954050064087
60th percentile: 2.0723378658294678
70th percentile: 2.1127216815948486
80th percentile: 2.1670080184936524
90th percentile: 2.2351968765258787
95th percentile: 2.269291305541992
99th percentile: 2.2965668487548827
mean time: 1.9373064041137695
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 0.74s
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 0.92s
Shutdown handler de-registered
riverise-lima-safe-sft_v2 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 8793.86s
Shutdown handler de-registered
riverise-lima-safe-sft_v2 status is now inactive due to auto deactivation removed underperforming models
riverise-lima-safe-sft_v2 status is now torndown due to DeploymentManager action
riverise-lima-safe-sft_v2 status is now torndown due to DeploymentManager action
riverise-lima-safe-sft_v2 status is now torndown due to DeploymentManager action