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 ilyagusev-saiga-nemo-12b-v1-mkmlizer
Waiting for job on ilyagusev-saiga-nemo-12b-v1-mkmlizer to finish
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ _____ __ __ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ /___/ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ Version: 0.11.12 ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ https://mk1.ai ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ belonging to: ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ Chai Research Corp. ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
ilyagusev-saiga-nemo-12b-v1-mkmlizer: Downloaded to shared memory in 55.302s
ilyagusev-saiga-nemo-12b-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_2g793qo, device:0
ilyagusev-saiga-nemo-12b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ilyagusev-saiga-nemo-12b-v1-mkmlizer: quantized model in 40.558s
ilyagusev-saiga-nemo-12b-v1-mkmlizer: Processed model IlyaGusev/saiga_nemo_12b in 95.861s
ilyagusev-saiga-nemo-12b-v1-mkmlizer: creating bucket guanaco-mkml-models
ilyagusev-saiga-nemo-12b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ilyagusev-saiga-nemo-12b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1
ilyagusev-saiga-nemo-12b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1/config.json
ilyagusev-saiga-nemo-12b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1/special_tokens_map.json
ilyagusev-saiga-nemo-12b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1/tokenizer_config.json
ilyagusev-saiga-nemo-12b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1/tokenizer.json
ilyagusev-saiga-nemo-12b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v1/flywheel_model.0.safetensors
ilyagusev-saiga-nemo-12b-v1-mkmlizer:
Loading 0: 0%| | 0/363 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.24it/s]
Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.78it/s]
Loading 0: 5%|▌ | 19/363 [00:00<00:06, 49.90it/s]
Loading 0: 7%|▋ | 25/363 [00:00<00:06, 50.89it/s]
Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.00it/s]
Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.75it/s]
Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 44.68it/s]
Loading 0: 13%|█▎ | 48/363 [00:01<00:06, 47.87it/s]
Loading 0: 15%|█▍ | 53/363 [00:01<00:06, 45.08it/s]
Loading 0: 16%|█▌ | 58/363 [00:01<00:06, 45.19it/s]
Loading 0: 17%|█▋ | 63/363 [00:01<00:10, 29.62it/s]
Loading 0: 19%|█▊ | 68/363 [00:01<00:08, 33.40it/s]
Loading 0: 20%|██ | 73/363 [00:01<00:09, 31.17it/s]
Loading 0: 22%|██▏ | 80/363 [00:01<00:07, 39.21it/s]
Loading 0: 23%|██▎ | 85/363 [00:02<00:07, 39.40it/s]
Loading 0: 25%|██▍ | 90/363 [00:02<00:07, 38.99it/s]
Loading 0: 26%|██▌ | 95/363 [00:02<00:06, 39.98it/s]
Loading 0: 28%|██▊ | 100/363 [00:02<00:08, 32.22it/s]
Loading 0: 29%|██▉ | 105/363 [00:02<00:07, 35.85it/s]
Loading 0: 30%|███ | 110/363 [00:02<00:06, 37.14it/s]
Loading 0: 32%|███▏ | 115/363 [00:02<00:06, 36.83it/s]
Loading 0: 33%|███▎ | 119/363 [00:03<00:07, 33.01it/s]
Loading 0: 34%|███▍ | 123/363 [00:03<00:07, 34.17it/s]
Loading 0: 35%|███▍ | 127/363 [00:03<00:07, 31.17it/s]
Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 38.53it/s]
Loading 0: 38%|███▊ | 139/363 [00:03<00:05, 38.74it/s]
Loading 0: 40%|███▉ | 144/363 [00:03<00:08, 25.25it/s]
Loading 0: 41%|████ | 149/363 [00:04<00:08, 26.63it/s]
Loading 0: 43%|████▎ | 156/363 [00:04<00:06, 32.94it/s]
Loading 0: 44%|████▍ | 160/363 [00:04<00:06, 33.14it/s]
Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 36.24it/s]
Loading 0: 47%|████▋ | 170/363 [00:04<00:05, 37.06it/s]
Loading 0: 48%|████▊ | 174/363 [00:04<00:05, 37.42it/s]
Loading 0: 49%|████▉ | 178/363 [00:04<00:05, 36.83it/s]
Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.16it/s]
Loading 0: 52%|█████▏ | 188/363 [00:05<00:04, 40.19it/s]
Loading 0: 53%|█████▎ | 193/363 [00:05<00:04, 38.53it/s]
Loading 0: 54%|█████▍ | 197/363 [00:05<00:05, 29.59it/s]
Loading 0: 56%|█████▌ | 202/363 [00:05<00:04, 32.86it/s]
Loading 0: 57%|█████▋ | 206/363 [00:05<00:04, 34.31it/s]
Loading 0: 58%|█████▊ | 210/363 [00:05<00:04, 35.70it/s]
Loading 0: 59%|█████▉ | 214/363 [00:05<00:04, 36.62it/s]
Loading 0: 60%|██████ | 218/363 [00:05<00:03, 37.11it/s]
Loading 0: 61%|██████▏ | 223/363 [00:06<00:04, 30.51it/s]
Loading 0: 63%|██████▎ | 227/363 [00:06<00:04, 32.22it/s]
Loading 0: 64%|██████▎ | 231/363 [00:06<00:04, 31.48it/s]
Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 36.79it/s]
Loading 0: 66%|██████▋ | 241/363 [00:06<00:03, 35.11it/s]
Loading 0: 68%|██████▊ | 246/363 [00:06<00:03, 36.68it/s]
Loading 0: 69%|██████▉ | 250/363 [00:06<00:03, 34.87it/s]
Loading 0: 70%|███████ | 255/363 [00:06<00:02, 37.54it/s]
Loading 0: 71%|███████▏ | 259/363 [00:07<00:02, 37.18it/s]
Loading 0: 73%|███████▎ | 264/363 [00:07<00:02, 40.28it/s]
Loading 0: 74%|███████▍ | 269/363 [00:07<00:02, 40.27it/s]
Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 41.27it/s]
Loading 0: 77%|███████▋ | 280/363 [00:07<00:02, 41.42it/s]
Loading 0: 79%|███████▊ | 285/363 [00:07<00:01, 39.42it/s]
Loading 0: 80%|████████ | 291/363 [00:07<00:01, 41.67it/s]
Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 40.03it/s]
Loading 0: 83%|████████▎ | 301/363 [00:08<00:01, 41.78it/s]
Loading 0: 84%|████████▍ | 306/363 [00:15<00:25, 2.24it/s]
Loading 0: 85%|████████▌ | 310/363 [00:15<00:18, 2.92it/s]
Loading 0: 87%|████████▋ | 314/363 [00:15<00:12, 3.85it/s]
Loading 0: 88%|████████▊ | 319/363 [00:15<00:08, 5.44it/s]
Loading 0: 89%|████████▉ | 323/363 [00:15<00:05, 6.93it/s]
Loading 0: 90%|█████████ | 327/363 [00:16<00:04, 8.95it/s]
Loading 0: 91%|█████████ | 331/363 [00:16<00:02, 10.88it/s]
Loading 0: 92%|█████████▏| 335/363 [00:16<00:02, 13.76it/s]
Loading 0: 93%|█████████▎| 339/363 [00:16<00:01, 15.79it/s]
Loading 0: 95%|█████████▌| 346/363 [00:16<00:00, 22.64it/s]
Loading 0: 96%|█████████▋| 350/363 [00:16<00:00, 23.84it/s]
Loading 0: 98%|█████████▊| 354/363 [00:16<00:00, 26.40it/s]
Loading 0: 99%|█████████▊| 358/363 [00:17<00:00, 25.54it/s]
Loading 0: 100%|█████████▉| 362/363 [00:17<00:00, 28.40it/s]
Failed to get response for submission blend_jikul_2024-11-25: ('http://chaiml-elo-alignment-run-3-v44-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:56458->127.0.0.1:8080: read: connection reset by peer\n')
Job ilyagusev-saiga-nemo-12b-v1-mkmlizer completed after 170.16s with status: succeeded
Stopping job with name ilyagusev-saiga-nemo-12b-v1-mkmlizer
Pipeline stage MKMLizer completed in 170.75s
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 ilyagusev-saiga-nemo-12b-v1
Waiting for inference service ilyagusev-saiga-nemo-12b-v1 to be ready
Inference service ilyagusev-saiga-nemo-12b-v1 ready after 130.46856260299683s
Pipeline stage MKMLDeployer completed in 131.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.568932294845581s
Received healthy response to inference request in 1.3342466354370117s
Received healthy response to inference request in 2.3887104988098145s
Received healthy response to inference request in 1.6555993556976318s
Received healthy response to inference request in 1.6539041996002197s
5 requests
0 failed requests
5th percentile: 1.3981781482696534
10th percentile: 1.462109661102295
20th percentile: 1.589972686767578
30th percentile: 1.6542432308197021
40th percentile: 1.654921293258667
50th percentile: 1.6555993556976318
60th percentile: 1.9488438129425047
70th percentile: 2.2420882701873777
80th percentile: 2.4247548580169678
90th percentile: 2.4968435764312744
95th percentile: 2.5328879356384277
99th percentile: 2.5617234230041506
mean time: 1.9202785968780518
Pipeline stage StressChecker completed in 10.82s
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 0.63s
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 0.61s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service ilyagusev-saiga-nemo-12b-v1-profiler
Waiting for inference service ilyagusev-saiga-nemo-12b-v1-profiler to be ready
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 2645.66s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v1 status is now inactive due to auto deactivation removed underperforming models
ilyagusev-saiga-nemo-12b_v1 status is now torndown due to DeploymentManager action