chaiml-elite-feed-convo-_7085

developer_uid: zonemercy
submission_id: chaiml-elite-feed-convo-_7085_v1
model_name: chaiml-elite-feed-convo-_7085_v1
model_group: ChaiML/Elite-Feed-Convo-
status: torndown
timestamp: 2024-09-12T16:35:24+00:00
num_battles: 14225
num_wins: 7193
celo_rating: 1249.09
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/Elite-Feed-Convo-v2-1e5ep2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6146164453741237, 'latency_mean': 1.62693302154541, 'latency_p50': 1.6330934762954712, 'latency_p90': 1.7848138332366943}, {'batch_size': 3, 'throughput': 1.0898441956139144, 'latency_mean': 2.745704035758972, 'latency_p50': 2.746793508529663, 'latency_p90': 3.0402075052261353}, {'batch_size': 5, 'throughput': 1.2356660040959182, 'latency_mean': 4.032194255590439, 'latency_p50': 4.039811849594116, 'latency_p90': 4.573697185516357}, {'batch_size': 6, 'throughput': 1.2633827176303838, 'latency_mean': 4.711776939630508, 'latency_p50': 4.75726044178009, 'latency_p90': 5.294336676597595}, {'batch_size': 8, 'throughput': 1.2497651347819891, 'latency_mean': 6.3780678629875185, 'latency_p50': 6.41324257850647, 'latency_p90': 7.151108837127685}, {'batch_size': 10, 'throughput': 1.2154520128220256, 'latency_mean': 8.173402700424194, 'latency_p50': 8.211941838264465, 'latency_p90': 9.137808156013488}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-elite-feed-convo-_7085_v1
is_internal_developer: True
language_model: ChaiML/Elite-Feed-Convo-v2-1e5ep2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2024-09-12
win_ratio: 0.5056590509666081
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', 'response_template': '{bot_name}:', 'truncate_by_message': True}
Resubmit model
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-elite-feed-convo-7085-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-7085-v1-mkmlizer to finish
chaiml-elite-feed-convo-7085-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-7085-v1-mkmlizer: Downloaded to shared memory in 102.987s
chaiml-elite-feed-convo-7085-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6may66vn, device:0
chaiml-elite-feed-convo-7085-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-elite-feed-convo-7085-v1-mkmlizer: quantized model in 41.711s
chaiml-elite-feed-convo-7085-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v2-1e5ep2 in 144.698s
chaiml-elite-feed-convo-7085-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-7085-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-7085-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/config.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/special_tokens_map.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/tokenizer_config.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/tokenizer.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/flywheel_model.0.safetensors
chaiml-elite-feed-convo-7085-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 23.05it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:12, 27.64it/s]
Loading 0:   4%|▍         | 14/363 [00:00<00:14, 24.72it/s]
Loading 0:   6%|▌         | 20/363 [00:00<00:10, 33.81it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:14, 22.61it/s]
Loading 0:   7%|▋         | 27/363 [00:01<00:15, 21.75it/s]
Loading 0:   9%|▊         | 31/363 [00:01<00:13, 25.12it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:13, 24.77it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:12, 25.78it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:13, 23.33it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:11, 28.53it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:12, 25.56it/s]
Loading 0:  15%|█▌        | 56/363 [00:02<00:09, 30.72it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 26.77it/s]
Loading 0:  18%|█▊        | 64/363 [00:02<00:13, 22.80it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:10, 27.85it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:10, 27.69it/s]
Loading 0:  21%|██        | 77/363 [00:02<00:11, 24.75it/s]
Loading 0:  23%|██▎       | 84/363 [00:03<00:09, 30.84it/s]
Loading 0:  24%|██▍       | 88/363 [00:03<00:09, 29.18it/s]
Loading 0:  26%|██▌       | 93/363 [00:03<00:08, 31.95it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:08, 30.03it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:10, 23.87it/s]
Loading 0:  29%|██▊       | 104/363 [00:04<00:12, 21.00it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:09, 27.76it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 27.04it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 29.19it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:08, 28.05it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:07, 29.76it/s]
Loading 0:  37%|███▋      | 133/363 [00:04<00:08, 28.64it/s]
Loading 0:  38%|███▊      | 137/363 [00:05<00:07, 28.94it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 25.67it/s]
Loading 0:  40%|███▉      | 145/363 [00:05<00:09, 24.00it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:09, 22.15it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:07, 27.32it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 24.77it/s]
Loading 0:  45%|████▍     | 163/363 [00:06<00:06, 29.65it/s]
Loading 0:  46%|████▌     | 167/363 [00:06<00:07, 25.56it/s]
Loading 0:  47%|████▋     | 172/363 [00:06<00:06, 29.94it/s]
Loading 0:  48%|████▊     | 176/363 [00:06<00:07, 25.57it/s]
Loading 0:  50%|████▉     | 181/363 [00:06<00:06, 29.63it/s]
Loading 0:  51%|█████     | 185/363 [00:07<00:08, 20.04it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:07, 24.60it/s]
Loading 0:  53%|█████▎    | 194/363 [00:07<00:07, 22.96it/s]
Loading 0:  55%|█████▍    | 199/363 [00:07<00:05, 27.43it/s]
Loading 0:  56%|█████▌    | 203/363 [00:07<00:06, 25.16it/s]
Loading 0:  58%|█████▊    | 210/363 [00:07<00:04, 31.78it/s]
Loading 0:  59%|█████▉    | 214/363 [00:08<00:04, 30.45it/s]
Loading 0:  60%|██████    | 218/363 [00:08<00:04, 30.99it/s]
Loading 0:  61%|██████▏   | 223/363 [00:08<00:05, 27.20it/s]
Loading 0:  62%|██████▏   | 226/363 [00:08<00:05, 24.54it/s]
Loading 0:  63%|██████▎   | 230/363 [00:08<00:05, 22.77it/s]
Loading 0:  65%|██████▌   | 237/363 [00:08<00:04, 29.64it/s]
Loading 0:  66%|██████▋   | 241/363 [00:09<00:04, 28.03it/s]
Loading 0:  67%|██████▋   | 244/363 [00:09<00:04, 28.35it/s]
Loading 0:  68%|██████▊   | 248/363 [00:09<00:04, 24.99it/s]
Loading 0:  70%|██████▉   | 253/363 [00:09<00:03, 29.78it/s]
Loading 0:  71%|███████   | 257/363 [00:09<00:04, 25.55it/s]
Loading 0:  72%|███████▏  | 262/363 [00:09<00:03, 30.27it/s]
Loading 0:  73%|███████▎  | 266/363 [00:10<00:04, 20.76it/s]
Loading 0:  75%|███████▌  | 273/363 [00:10<00:03, 27.05it/s]
Loading 0:  76%|███████▋  | 277/363 [00:10<00:03, 27.12it/s]
Loading 0:  78%|███████▊  | 282/363 [00:10<00:02, 28.91it/s]
Loading 0:  79%|███████▉  | 286/363 [00:10<00:02, 27.83it/s]
Loading 0:  80%|████████  | 291/363 [00:10<00:02, 30.41it/s]
Loading 0:  81%|████████▏ | 295/363 [00:11<00:02, 28.98it/s]
Loading 0:  82%|████████▏ | 299/363 [00:11<00:02, 29.12it/s]
Loading 0:  83%|████████▎ | 303/363 [00:11<00:01, 31.10it/s]
Loading 0:  85%|████████▍ | 307/363 [00:11<00:02, 22.32it/s]
Loading 0:  86%|████████▌ | 311/363 [00:11<00:02, 21.36it/s]
Loading 0:  87%|████████▋ | 316/363 [00:11<00:01, 26.15it/s]
Loading 0:  88%|████████▊ | 320/363 [00:12<00:01, 24.15it/s]
Loading 0:  90%|█████████ | 327/363 [00:12<00:01, 30.85it/s]
Loading 0:  91%|█████████ | 331/363 [00:12<00:01, 29.63it/s]
Loading 0:  93%|█████████▎| 336/363 [00:12<00:00, 32.14it/s]
Loading 0:  94%|█████████▎| 340/363 [00:12<00:00, 30.55it/s]
Loading 0:  95%|█████████▍| 344/363 [00:19<00:09,  2.00it/s]
Loading 0:  96%|█████████▌| 348/363 [00:19<00:05,  2.68it/s]
Loading 0:  97%|█████████▋| 353/363 [00:19<00:02,  3.88it/s]
Loading 0:  98%|█████████▊| 357/363 [00:20<00:01,  4.97it/s]
                                                            
Job chaiml-elite-feed-convo-7085-v1-mkmlizer completed after 167.97s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-7085-v1-mkmlizer
Pipeline stage MKMLizer completed in 168.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-elite-feed-convo-7085-v1
Waiting for inference service chaiml-elite-feed-convo-7085-v1 to be ready
Inference service chaiml-elite-feed-convo-7085-v1 ready after 172.43635296821594s
Pipeline stage MKMLDeployer completed in 173.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6727869510650635s
Received healthy response to inference request in 1.7629671096801758s
Received healthy response to inference request in 2.5099263191223145s
Received healthy response to inference request in 2.165987730026245s
Received healthy response to inference request in 1.8218646049499512s
5 requests
0 failed requests
5th percentile: 1.7747466087341308
10th percentile: 1.7865261077880858
20th percentile: 1.8100851058959961
30th percentile: 1.89068922996521
40th percentile: 2.0283384799957274
50th percentile: 2.165987730026245
60th percentile: 2.3035631656646727
70th percentile: 2.4411386013031007
80th percentile: 2.5424984455108643
90th percentile: 2.6076426982879637
95th percentile: 2.6402148246765136
99th percentile: 2.6662725257873534
mean time: 2.18670654296875
Pipeline stage StressChecker completed in 15.23s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.93s
Shutdown handler de-registered
chaiml-elite-feed-convo-_7085_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-elite-feed-convo-7085-v1-profiler
Waiting for inference service chaiml-elite-feed-convo-7085-v1-profiler to be ready
Inference service chaiml-elite-feed-convo-7085-v1-profiler ready after 170.43352580070496s
Pipeline stage MKMLProfilerDeployer completed in 170.80s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q:/code/chaiverse_profiler_1726159506 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726159506 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726159506/summary.json'
kubectl exec -it chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726159506/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1160.52s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-elite-feed-convo-7085-v1-profiler is running
Tearing down inference service chaiml-elite-feed-convo-7085-v1-profiler
Service chaiml-elite-feed-convo-7085-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.79s
Shutdown handler de-registered
chaiml-elite-feed-convo-_7085_v1 status is now inactive due to auto deactivation removed underperforming models
Service chaiml-chaiml-stf-horror-3298-v1 has been torndown
Running pipeline stage MKMLModelDeleter
Pipeline stage MKMLModelDeleter completed in 13.63s
run pipeline stage %s
Cleaning model data from model cache
Service chaiml-chaiml-stf-horror-9847-v1 has been torndown
Running pipeline stage MKMLDeleter
Checking if service chaiml-elite-feed-convo-1137-v3 is running
run pipeline stage %s
Service chaiml-elite-feed-convo-1137-v1 has been torndown
Pipeline stage MKMLModelDeleter completed in 7.31s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of chaiml-elite-feed-convo-_7085_v1
Pipeline stage MKMLDeleter completed in 14.01s
Shutdown handler de-registered
Tearing down inference service chaiml-elite-feed-convo-1137-v2
Cleaning model data from S3
Pipeline stage MKMLDeleter completed in 13.86s
Pipeline stage MKMLModelDeleter completed in 9.38s
Checking if service chaiml-elite-feed-convo-1831-v1 is running
Running pipeline stage MKMLDeleter
Pipeline stage MKMLDeleter completed in 12.51s
Shutdown handler de-registered
run pipeline stage %s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of chaiml-elite-feed-convo-_7085_v2
run pipeline stage %s
chaiml-albert-sft-intent_3850_v1 status is now torndown due to DeploymentManager action
Cleaning model data from model cache
Service chaiml-elite-feed-convo-1137-v2 has been torndown
Cleaning model data from S3
run pipeline stage %s
Shutdown handler de-registered
chaiml-elite-feed-convo-_7085_v1 status is now torndown due to DeploymentManager action
run pipeline stage %s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
admin requested tearing down of chaiml-lexical-nemo-v4-1k1e5_v7
Shutdown handler de-registered
Pipeline stage MKMLModelDeleter completed in 3.98s
Pipeline stage %s skipped, reason=%s
chaiml-elite-feed-convo-_7085_v1 status is now torndown due to DeploymentManager action
Running pipeline stage MKMLDeleter
run pipeline stage %s
run pipeline %s
Pipeline stage %s skipped, reason=%s
Shutdown handler not registered because Python interpreter is not running in the main thread
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLDeleter
Shutdown handler de-registered
chaiml-chaiml-sft-horror_v4 status is now torndown due to DeploymentManager action
Pipeline stage MKMLModelDeleter completed in 5.76s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline stage %s
admin requested tearing down of chaiml-elite-feed-convo-_7085_v1
Pipeline stage MKMLDeleter completed in 6.11s
Pipeline stage %s skipped, reason=%s
chaiml-chaiml-sft-horror_v5 status is now torndown due to DeploymentManager action
Running pipeline stage MKMLDeleter
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 6.53s
Running pipeline stage MKMLModelDeleter
run pipeline %s
Pipeline stage MKMLDeleter completed in 6.51s
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline stage %s
admin requested tearing down of chaiml-elite-feed-convo-_7085_v2
Pipeline stage MKMLModelDeleter completed in 6.29s
Pipeline stage %s skipped, reason=%s
chaiml-chaiml-stf-horror_3298_v1 status is now torndown due to DeploymentManager action
Running pipeline stage MKMLDeleter
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
run pipeline stage %s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
Shutdown handler de-registered
admin requested tearing down of chaiml-elite-feed-convo-_7085_v3
Pipeline stage MKMLDeleter completed in 6.42s
chaiml-chaiml-stf-horror_9847_v1 status is now torndown due to DeploymentManager action
Pipeline stage MKMLModelDeleter completed in 5.60s
Running pipeline stage MKMLDeleter
Running pipeline stage MKMLModelDeleter
run pipeline stage %s
run pipeline %s
Pipeline stage %s skipped, reason=%s
chaiml-elite-feed-convo-_1137_v1 status is now torndown due to DeploymentManager action
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline stage %s
Pipeline stage MKMLDeleter completed in 5.89s
admin requested tearing down of chaiml-elo-alignment-run-3_v41
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
Pipeline stage %s skipped, reason=%s
run pipeline stage %s
Running pipeline stage MKMLDeleter
Pipeline stage MKMLModelDeleter completed in 6.05s
run pipeline %s
Running pipeline stage MKMLModelDeleter
run pipeline stage %s
Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of chaiml-elo-alignment-run-3_v42
chaiml-elite-feed-convo-_1137_v2 status is now torndown due to DeploymentManager action
Pipeline stage MKMLDeleter completed in 5.58s
Pipeline stage MKMLModelDeleter completed in 5.32s
Running pipeline stage MKMLDeleter
Pipeline stage %s skipped, reason=%s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Shutdown handler de-registered
run pipeline stage %s
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLModelDeleter
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline stage %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Running pipeline stage MKMLDeleter
chaiml-elite-feed-convo-_1137_v3 status is now torndown due to DeploymentManager action
Pipeline stage MKMLModelDeleter completed in 5.98s
Pipeline stage %s skipped, reason=%s
run pipeline stage %s
Running pipeline stage MKMLModelDeleter
Shutdown handler de-registered
run pipeline %s
Pipeline stage %s skipped, reason=%s
Pipeline stage %s skipped, reason=%s
admin requested tearing down of chaiml-elo-alignment-run-3_v45
Pipeline stage MKMLDeleter completed in 6.04s
Pipeline stage MKMLModelDeleter completed in 5.75s
Running pipeline stage MKMLDeleter
Pipeline stage %s skipped, reason=%s
chaiml-elite-feed-convo-_1831_v1 status is now torndown due to DeploymentManager action
run pipeline stage %s
Pipeline stage MKMLDeleter completed in 7.88s
Pipeline stage MKMLDeleter completed in 4.13s
run pipeline stage %s
admin requested tearing down of chaiml-elo-alignment-run-3_v46
chaiml-elite-feed-convo-_5606_v1 status is now torndown due to DeploymentManager action
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 4.66s
run pipeline stage %s
Running pipeline stage MKMLDeleter
run pipeline stage %s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
chaiml-elite-feed-convo-_5606_v3 status is now torndown due to DeploymentManager action
Pipeline stage MKMLDeleter completed in 4.34s
admin requested tearing down of chaiml-elo-alignment-run-3_v47
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLModelDeleter
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
run pipeline stage %s
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
Pipeline stage MKMLDeleter completed in 3.24s
admin requested tearing down of chaiml-lexical-nemo-v4-1k1e5_v4
chaiml-elite-feed-convo-_6421_v3 status is now torndown due to DeploymentManager action
Pipeline stage %s skipped, reason=%s
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 3.50s
run pipeline stage %s
Running pipeline stage MKMLDeleter
run pipeline %s
Running pipeline stage MKMLModelDeleter
run pipeline stage %s
Shutdown handler not registered because Python interpreter is not running in the main thread
Pipeline stage MKMLModelDeleter completed in 2.92s
Pipeline stage MKMLModelDeleter completed in 2.95s
Shutdown handler de-registered
Running pipeline stage MKMLDeleter
admin requested tearing down of chaiml-lexical-nemo-v4-1k1e5_v6
Pipeline stage %s skipped, reason=%s
run pipeline stage %s
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLModelDeleter
run pipeline %s
Shutdown handler de-registered
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLModelDeleter
run pipeline %s
Shutdown handler de-registered
Shutdown handler de-registered
Pipeline stage %s skipped, reason=%s
chaiml-elite-feed-convo-_7085_v1 status is now torndown due to DeploymentManager action
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLDeleter
admin requested tearing down of chaiml-lexical-nemo-v4-1k1e5_v7