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 chaiml-mistral-nemo-dpo-4288-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-4288-v1-mkmlizer to finish
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ _____ __ __ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: Downloaded to shared memory in 50.318s
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwq_46c51, device:0
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: quantized model in 36.773s
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_round2_albert_20241220_v1-checkpoint-690 in 87.091s
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1/config.json
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1/special_tokens_map.json
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1/tokenizer_config.json
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1/tokenizer.json
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-4288-v1/flywheel_model.0.safetensors
chaiml-mistral-nemo-dpo-4288-v1-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:12, 27.73it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:07, 47.15it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:07, 43.79it/s]
Loading 0: 7%|▋ | 24/363 [00:00<00:08, 42.10it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 47.87it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:07, 43.38it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 41.65it/s]
Loading 0: 13%|█▎ | 48/363 [00:01<00:06, 46.24it/s]
Loading 0: 15%|█▍ | 53/363 [00:01<00:06, 44.82it/s]
Loading 0: 16%|█▋ | 59/363 [00:01<00:06, 48.25it/s]
Loading 0: 18%|█▊ | 64/363 [00:01<00:10, 27.87it/s]
Loading 0: 20%|█▉ | 71/363 [00:01<00:08, 35.24it/s]
Loading 0: 21%|██ | 76/363 [00:01<00:07, 36.86it/s]
Loading 0: 22%|██▏ | 81/363 [00:02<00:07, 37.16it/s]
Loading 0: 24%|██▎ | 86/363 [00:02<00:06, 40.07it/s]
Loading 0: 25%|██▌ | 91/363 [00:02<00:07, 34.37it/s]
Loading 0: 27%|██▋ | 98/363 [00:02<00:06, 40.88it/s]
Loading 0: 28%|██▊ | 103/363 [00:02<00:06, 41.14it/s]
Loading 0: 30%|███ | 109/363 [00:02<00:05, 45.07it/s]
Loading 0: 31%|███▏ | 114/363 [00:02<00:06, 39.09it/s]
Loading 0: 33%|███▎ | 119/363 [00:02<00:06, 38.93it/s]
Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 43.62it/s]
Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 43.28it/s]
Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 43.76it/s]
Loading 0: 39%|███▊ | 140/363 [00:03<00:04, 45.30it/s]
Loading 0: 40%|███▉ | 145/363 [00:03<00:07, 27.32it/s]
Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.89it/s]
Loading 0: 43%|████▎ | 156/363 [00:04<00:05, 36.09it/s]
Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 37.62it/s]
Loading 0: 46%|████▌ | 166/363 [00:04<00:04, 39.63it/s]
Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 41.80it/s]
Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 36.11it/s]
Loading 0: 50%|█████ | 183/363 [00:04<00:04, 43.57it/s]
Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 43.52it/s]
Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 44.29it/s]
Loading 0: 55%|█████▍ | 199/363 [00:05<00:03, 42.24it/s]
Loading 0: 56%|█████▌ | 204/363 [00:05<00:03, 41.44it/s]
Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 45.93it/s]
Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 45.04it/s]
Loading 0: 61%|██████ | 221/363 [00:05<00:02, 48.26it/s]
Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 29.40it/s]
Loading 0: 63%|██████▎ | 230/363 [00:05<00:04, 28.90it/s]
Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 37.09it/s]
Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 38.55it/s]
Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 39.47it/s]
Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 38.92it/s]
Loading 0: 71%|███████ | 258/363 [00:06<00:02, 39.07it/s]
Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 43.83it/s]
Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 43.70it/s]
Loading 0: 75%|███████▌ | 274/363 [00:06<00:02, 43.63it/s]
Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.58it/s]
Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.45it/s]
Loading 0: 80%|████████ | 291/363 [00:07<00:01, 42.31it/s]
Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 43.06it/s]
Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 47.30it/s]
Loading 0: 85%|████████▍ | 307/363 [00:14<00:22, 2.52it/s]
Loading 0: 86%|████████▌ | 312/363 [00:14<00:14, 3.43it/s]
Loading 0: 88%|████████▊ | 319/363 [00:14<00:08, 5.22it/s]
Loading 0: 89%|████████▉ | 324/363 [00:14<00:05, 6.84it/s]
Loading 0: 91%|█████████ | 329/363 [00:14<00:03, 8.89it/s]
Loading 0: 92%|█████████▏| 334/363 [00:15<00:02, 11.51it/s]
Loading 0: 93%|█████████▎| 339/363 [00:15<00:01, 13.78it/s]
Loading 0: 95%|█████████▌| 346/363 [00:15<00:00, 19.49it/s]
Loading 0: 97%|█████████▋| 351/363 [00:15<00:00, 22.81it/s]
Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 26.40it/s]
Loading 0: 99%|█████████▉| 361/363 [00:15<00:00, 29.56it/s]
Job chaiml-mistral-nemo-dpo-4288-v1-mkmlizer completed after 115.39s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-4288-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.90s
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 chaiml-mistral-nemo-dpo-4288-v1
Waiting for inference service chaiml-mistral-nemo-dpo-4288-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service chaiml-mistral-nemo-dpo-4288-v1 ready after 260.9295401573181s
Pipeline stage MKMLDeployer completed in 261.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2211260795593262s
Received healthy response to inference request in 1.3405394554138184s
Received healthy response to inference request in 1.5746369361877441s
Received healthy response to inference request in 0.9121520519256592s
Received healthy response to inference request in 1.2013390064239502s
5 requests
0 failed requests
5th percentile: 0.9699894428253174
10th percentile: 1.0278268337249756
20th percentile: 1.143501615524292
30th percentile: 1.2052964210510253
40th percentile: 1.2132112503051757
50th percentile: 1.2211260795593262
60th percentile: 1.2688914299011231
70th percentile: 1.3166567802429199
80th percentile: 1.3873589515686036
90th percentile: 1.4809979438781737
95th percentile: 1.527817440032959
99th percentile: 1.565273036956787
mean time: 1.2499587059020996
Pipeline stage StressChecker completed in 7.43s
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 0.64s
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 0.63s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_4288_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2391.00s
Shutdown handler de-registered
chaiml-mistral-nemo-dpo-_4288_v1 status is now inactive due to auto deactivation removed underperforming models