developer_uid: zonemercy
submission_id: zonemercy-cogent-nemo-v1_3266_v8
model_name: 0815v1-3
model_group: zonemercy/Cogent-Nemo-v1
status: torndown
timestamp: 2024-08-15T18:19:28+00:00
num_battles: 30926
num_wins: 17425
celo_rating: 1292.66
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Cogent-Nemo-v1-1k1e5
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6511363263877469, 'latency_mean': 1.5356782364845276, 'latency_p50': 1.5339055061340332, 'latency_p90': 1.7162724733352661}, {'batch_size': 2, 'throughput': 0.8678408023078042, 'latency_mean': 2.2983116698265076, 'latency_p50': 2.2875155210494995, 'latency_p90': 2.5289799213409423}, {'batch_size': 3, 'throughput': 0.9482469388759404, 'latency_mean': 3.1606378996372224, 'latency_p50': 3.186185598373413, 'latency_p90': 3.546485614776611}, {'batch_size': 4, 'throughput': 0.9432789382515652, 'latency_mean': 4.223411345481873, 'latency_p50': 4.201270818710327, 'latency_p90': 4.722350072860718}, {'batch_size': 5, 'throughput': 0.9076194069102881, 'latency_mean': 5.494613583087921, 'latency_p50': 5.517816424369812, 'latency_p90': 6.117188262939453}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0815v1-3
is_internal_developer: True
language_model: zonemercy/Cogent-Nemo-v1-1k1e5
model_size: 13B
ranking_group: single
throughput_3p7s: 0.95
us_pacific_date: 2024-08-15
win_ratio: 0.5634417642113432
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-cogent-nemo-v1-3266-v8-mkmlizer
Waiting for job on zonemercy-cogent-nemo-v1-3266-v8-mkmlizer to finish
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ _____ __ __ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ /___/ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ Version: 0.9.11 ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ https://mk1.ai ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ belonging to: ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ Chai Research Corp. ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ║ ║
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: Downloaded to shared memory in 71.327s
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpogtwe1ps, device:0
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: quantized model in 42.291s
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: Processed model zonemercy/Cogent-Nemo-v1-1k1e5 in 113.618s
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v8
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v8/config.json
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v8/special_tokens_map.json
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v8/flywheel_model.0.safetensors
zonemercy-cogent-nemo-v1-3266-v8-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:15, 22.93it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:12, 28.54it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:14, 24.78it/s] Loading 0: 6%|▌ | 20/363 [00:00<00:10, 33.91it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:14, 23.53it/s] Loading 0: 7%|▋ | 27/363 [00:01<00:14, 22.62it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:12, 26.08it/s] Loading 0: 10%|▉ | 35/363 [00:01<00:11, 27.53it/s] Loading 0: 11%|█ | 39/363 [00:01<00:11, 28.81it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:11, 27.83it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:10, 30.64it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:10, 28.79it/s] Loading 0: 15%|█▌ | 56/363 [00:02<00:10, 29.11it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:11, 25.33it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:13, 21.90it/s] Loading 0: 20%|█▉ | 71/363 [00:02<00:10, 28.41it/s] Loading 0: 21%|██ | 75/363 [00:02<00:10, 27.11it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:11, 24.58it/s] Loading 0: 23%|██▎ | 82/363 [00:03<00:10, 26.85it/s] Loading 0: 24%|██▎ | 86/363 [00:03<00:11, 23.48it/s] Loading 0: 25%|██▌ | 91/363 [00:03<00:09, 28.74it/s] Loading 0: 26%|██▌ | 95/363 [00:03<00:10, 24.97it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:10, 23.99it/s] Loading 0: 29%|██▊ | 104/363 [00:04<00:12, 21.42it/s] Loading 0: 30%|███ | 109/363 [00:04<00:09, 26.45it/s] Loading 0: 31%|███ | 113/363 [00:04<00:10, 23.62it/s] Loading 0: 33%|███▎ | 119/363 [00:04<00:08, 30.50it/s] Loading 0: 34%|███▍ | 123/363 [00:04<00:09, 26.42it/s] Loading 0: 35%|███▍ | 127/363 [00:04<00:08, 28.62it/s] Loading 0: 36%|███▌ | 131/363 [00:05<00:09, 24.84it/s] Loading 0: 37%|███▋ | 136/363 [00:05<00:07, 29.15it/s] Loading 0: 39%|███▉ | 141/363 [00:05<00:07, 30.08it/s] Loading 0: 40%|███▉ | 145/363 [00:05<00:10, 21.35it/s] Loading 0: 41%|████ | 149/363 [00:05<00:10, 20.60it/s] Loading 0: 42%|████▏ | 154/363 [00:05<00:08, 25.22it/s] Loading 0: 44%|████▎ | 158/363 [00:06<00:08, 23.56it/s] Loading 0: 45%|████▍ | 163/363 [00:06<00:07, 28.20it/s] Loading 0: 46%|████▌ | 167/363 [00:06<00:07, 25.18it/s] Loading 0: 47%|████▋ | 172/363 [00:06<00:06, 29.59it/s] Loading 0: 48%|████▊ | 176/363 [00:06<00:07, 25.72it/s] Loading 0: 50%|████▉ | 181/363 [00:06<00:06, 30.07it/s] Loading 0: 51%|█████ | 185/363 [00:07<00:08, 20.22it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 24.51it/s] Loading 0: 53%|█████▎ | 194/363 [00:07<00:07, 22.27it/s] Loading 0: 55%|█████▍ | 199/363 [00:07<00:06, 27.01it/s] Loading 0: 56%|█████▌ | 203/363 [00:07<00:06, 24.09it/s] Loading 0: 57%|█████▋ | 208/363 [00:08<00:05, 28.41it/s] Loading 0: 58%|█████▊ | 212/363 [00:08<00:06, 24.87it/s] Loading 0: 60%|█████▉ | 217/363 [00:08<00:04, 29.40it/s] Loading 0: 61%|██████ | 222/363 [00:08<00:04, 30.30it/s] Loading 0: 62%|██████▏ | 226/363 [00:08<00:06, 21.09it/s] Loading 0: 63%|██████▎ | 230/363 [00:09<00:06, 20.59it/s] Loading 0: 65%|██████▍ | 235/363 [00:09<00:05, 21.97it/s] Loading 0: 66%|██████▌ | 239/363 [00:09<00:05, 21.66it/s] Loading 0: 68%|██████▊ | 246/363 [00:09<00:04, 28.74it/s] Loading 0: 69%|██████▉ | 250/363 [00:09<00:03, 28.99it/s] Loading 0: 70%|███████ | 255/363 [00:09<00:03, 32.15it/s] Loading 0: 71%|███████▏ | 259/363 [00:09<00:03, 31.30it/s] Loading 0: 72%|███████▏ | 263/363 [00:10<00:03, 26.38it/s] Loading 0: 73%|███████▎ | 266/363 [00:10<00:04, 22.71it/s] Loading 0: 75%|███████▌ | 273/363 [00:10<00:03, 29.91it/s] Loading 0: 76%|███████▋ | 277/363 [00:10<00:02, 28.90it/s] Loading 0: 78%|███████▊ | 282/363 [00:10<00:02, 31.98it/s] Loading 0: 79%|███████▉ | 286/363 [00:10<00:02, 30.19it/s] Loading 0: 80%|███████▉ | 290/363 [00:11<00:02, 31.95it/s] Loading 0: 81%|████████ | 294/363 [00:11<00:02, 25.26it/s] Loading 0: 82%|████████▏ | 298/363 [00:11<00:02, 28.04it/s] Loading 0: 83%|████████▎ | 303/363 [00:11<00:02, 29.89it/s] Loading 0: 85%|████████▍ | 307/363 [00:11<00:02, 21.56it/s] Loading 0: 86%|████████▌ | 311/363 [00:12<00:02, 21.26it/s] Loading 0: 88%|████████▊ | 318/363 [00:12<00:01, 27.75it/s] Loading 0: 89%|████████▊ | 322/363 [00:12<00:01, 27.00it/s] Loading 0: 90%|█████████ | 327/363 [00:12<00:01, 29.23it/s] Loading 0: 91%|█████████ | 331/363 [00:12<00:01, 27.81it/s] Loading 0: 93%|█████████▎| 336/363 [00:12<00:00, 29.74it/s] Loading 0: 94%|█████████▎| 340/363 [00:12<00:00, 28.24it/s] Loading 0: 95%|█████████▍| 344/363 [00:19<00:09, 1.97it/s] Loading 0: 96%|█████████▌| 348/363 [00:20<00:05, 2.63it/s] Loading 0: 97%|█████████▋| 353/363 [00:20<00:02, 3.81it/s] Loading 0: 98%|█████████▊| 357/363 [00:20<00:01, 4.90it/s] Loading 0: 100%|█████████▉| 362/363 [00:20<00:00, 6.97it/s]
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Job zonemercy-cogent-nemo-v1-3266-v8-mkmlizer completed after 146.46s with status: succeeded
Stopping job with name zonemercy-cogent-nemo-v1-3266-v8-mkmlizer
Pipeline stage MKMLizer completed in 147.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8 to be ready
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Failed to get response for submission function_fahor_2024-08-15: no entry with id "function_fahor_2024-08-15" found on database!
Inference service zonemercy-cogent-nemo-v1-3266-v8 ready after 231.39039063453674s
Pipeline stage ISVCDeployer completed in 232.92s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4354662895202637s
Received healthy response to inference request in 3.7609448432922363s
Received healthy response to inference request in 2.7259480953216553s
Received healthy response to inference request in 2.7210662364959717s
Received healthy response to inference request in 1.9961557388305664s
5 requests
0 failed requests
5th percentile: 2.084017848968506
10th percentile: 2.1718799591064455
20th percentile: 2.347604179382324
30th percentile: 2.492586278915405
40th percentile: 2.6068262577056887
50th percentile: 2.7210662364959717
60th percentile: 2.723018980026245
70th percentile: 2.7249717235565187
80th percentile: 2.9329474449157718
90th percentile: 3.346946144104004
95th percentile: 3.55394549369812
99th percentile: 3.719544973373413
mean time: 2.7279162406921387
Pipeline stage StressChecker completed in 14.39s
zonemercy-cogent-nemo-v1_3266_v8 status is now deployed due to DeploymentManager action
zonemercy-cogent-nemo-v1_3266_v8 status is now inactive due to admin request
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 0.13s
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 zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v8-profiler ready after 150.34742093086243s
Pipeline stage MKMLProfilerDeployer completed in 150.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplo5nsk6:/code/chaiverse_profiler_1725335525 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplo5nsk6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725335525 && chmod +x profiles.py && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725335525/summary.json'
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplo5nsk6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725335525/summary.json'
Pipeline stage MKMLProfilerRunner completed in 544.93s
cleanup pipeline after completion
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Service zonemercy-cogent-nemo-v1-3266-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.63s
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.58s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
registered shutdown handler
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 0.42s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.31s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.44s
de-registered shutdown handler
registered shutdown handler
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 0.50s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.34s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Ignoring service zonemercy-cogent-nemo-v1-3266-v8-profiler already deployed
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.45s
de-registered shutdown handler
registered shutdown handler
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 0.41s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.32s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Ignoring service zonemercy-cogent-nemo-v1-3266-v8-profiler already deployed
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v8-profiler ready after 10.224148035049438s
Pipeline stage MKMLProfilerDeployer completed in 11.32s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplof76g5:/code/chaiverse_profiler_1725403114 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplof76g5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725403114 && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725403114/summary.json'
%s, retrying in %s seconds...
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
running shutdown handler
run pipeline stage %s
running shutdown handler
running shutdown handler
run pipeline stage %s
running shutdown handler
run pipeline stage %s
running shutdown handler
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
running shutdown handler
run pipeline stage %s
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Service zonemercy-cogent-nemo-v1-3266-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.70s
de-registered shutdown handler
registered shutdown handler
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.37s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.45s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.51s
de-registered shutdown handler
registered shutdown handler
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 0.51s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.38s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Ignoring service zonemercy-cogent-nemo-v1-3266-v8-profiler already deployed
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.51s
de-registered shutdown handler
registered shutdown handler
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 0.19s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Ignoring service zonemercy-cogent-nemo-v1-3266-v8-profiler already deployed
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v8-profiler ready after 10.050612926483154s
Pipeline stage MKMLProfilerDeployer completed in 10.69s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplonwh8f:/code/chaiverse_profiler_1725406133 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplonwh8f --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725406133 && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725406133/summary.json'
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Service zonemercy-cogent-nemo-v1-3266-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.51s
de-registered shutdown handler
registered shutdown handler
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.20s
de-registered shutdown handler
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 0.24s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Ignoring service zonemercy-cogent-nemo-v1-3266-v8-profiler already deployed
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v8-profiler ready after 10.04813265800476s
Pipeline stage MKMLProfilerDeployer completed in 10.61s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplocqx4r:/code/chaiverse_profiler_1725433506 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplocqx4r --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725433506 && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725433506/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplocqx4r:/code/chaiverse_profiler_1725433661 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplocqx4r:/code/chaiverse_profiler_1725433662 --namespace tenant-chaiml-guanaco
clean up pipeline due to error=%s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.55s
Shutdown handler unregistered and original handlers restored
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.63s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v8-profiler to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v8-profiler ready after 140.43242979049683s
Pipeline stage MKMLProfilerDeployer completed in 140.90s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplov2jt9:/code/chaiverse_profiler_1725433821 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplov2jt9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725433821 && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725433821/summary.json'
kubectl exec -it zonemercy-cogent-nem7bd4d50ad903548f03fd991346f48787-deplov2jt9 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725433821/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1187.63s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-cogent-nemo-v1-3266-v8-profiler is running
Tearing down inference service zonemercy-cogent-nemo-v1-3266-v8-profiler
Service zonemercy-cogent-nemo-v1-3266-v8-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.75s
Shutdown handler unregistered and original handlers restored
zonemercy-cogent-nemo-v1_3266_v8 status is now torndown due to DeploymentManager action