junhua024-chai-02-full-_13950

developer_uid: junhua024
submission_id: junhua024-chai-02-full-_13950_v1
model_name: junhua024-chai-02-full-_13950_v1
model_group: junhua024/chai_02_full_q
status: torndown
timestamp: 2025-07-24T17:45:53+00:00
num_battles: 7144
num_wins: 3658
celo_rating: 1292.3
family_friendly_score: 0.4182
family_friendly_standard_error: 0.006975797588806602
submission_type: basic
model_repo: junhua024/chai_02_full_qkv100_o1060_ffn106_1925
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.530422245417064, 'latency_mean': 1.8850834107398986, 'latency_p50': 1.8812919855117798, 'latency_p90': 2.040850210189819}, {'batch_size': 2, 'throughput': 0.6962843007083435, 'latency_mean': 2.867422310113907, 'latency_p50': 2.8795158863067627, 'latency_p90': 3.090052366256714}, {'batch_size': 3, 'throughput': 0.7894174980358216, 'latency_mean': 3.791284474134445, 'latency_p50': 3.79121732711792, 'latency_p90': 4.149402379989624}, {'batch_size': 4, 'throughput': 0.8491558431640799, 'latency_mean': 4.692991735935212, 'latency_p50': 4.703956723213196, 'latency_p90': 5.060829472541809}, {'batch_size': 5, 'throughput': 0.8823389499813837, 'latency_mean': 5.651410171985626, 'latency_p50': 5.649684906005859, 'latency_p90': 6.307079315185547}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_13950_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_qkv100_o1060_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 0.78
us_pacific_date: 2025-07-24
win_ratio: 0.5120380739081747
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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
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 junhua024-chai-02-full-13950-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-13950-v1-mkmlizer to finish
junhua024-chai-02-full-13950-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-13950-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-13950-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-13950-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-13950-v1-mkmlizer: Downloaded to shared memory in 70.796s
junhua024-chai-02-full-13950-v1-mkmlizer: Checking if junhua024/chai_02_full_qkv100_o1060_ffn106_1925 already exists in ChaiML
junhua024-chai-02-full-13950-v1-mkmlizer: Creating repo ChaiML/chai_02_full_qkv100_o1060_ffn106_1925 and uploading /tmp/tmpylzk88u9 to it
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-13950-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:01<00:41,  1.66s/it]
  8%|▊         | 2/26 [00:03<00:45,  1.91s/it]
 12%|█▏        | 3/26 [00:05<00:38,  1.68s/it]
 15%|█▌        | 4/26 [00:07<00:44,  2.01s/it]
 19%|█▉        | 5/26 [00:09<00:39,  1.89s/it]
 23%|██▎       | 6/26 [00:10<00:35,  1.75s/it]
 27%|██▋       | 7/26 [00:12<00:32,  1.71s/it]
 31%|███       | 8/26 [00:14<00:31,  1.74s/it]
 35%|███▍      | 9/26 [00:16<00:33,  1.99s/it]
 38%|███▊      | 10/26 [00:18<00:30,  1.89s/it]
 42%|████▏     | 11/26 [00:19<00:26,  1.77s/it]
 46%|████▌     | 12/26 [00:21<00:23,  1.69s/it]
 50%|█████     | 13/26 [00:22<00:20,  1.55s/it]
 54%|█████▍    | 14/26 [00:24<00:19,  1.60s/it]
 58%|█████▊    | 15/26 [00:25<00:16,  1.52s/it]
 62%|██████▏   | 16/26 [00:31<00:28,  2.85s/it]
 65%|██████▌   | 17/26 [00:33<00:22,  2.48s/it]
 69%|██████▉   | 18/26 [00:34<00:17,  2.16s/it]
 73%|███████▎  | 19/26 [00:35<00:13,  1.88s/it]
 77%|███████▋  | 20/26 [00:37<00:10,  1.67s/it]
 81%|████████  | 21/26 [00:38<00:07,  1.52s/it]
 85%|████████▍ | 22/26 [00:39<00:06,  1.56s/it]
 88%|████████▊ | 23/26 [00:41<00:04,  1.48s/it]
 92%|█████████▏| 24/26 [00:43<00:03,  1.64s/it]
 96%|█████████▌| 25/26 [00:44<00:01,  1.53s/it]
100%|██████████| 26/26 [00:45<00:00,  1.34s/it]
100%|██████████| 26/26 [00:45<00:00,  1.75s/it]
junhua024-chai-02-full-13950-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpylzk88u9, device:0
junhua024-chai-02-full-13950-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_fihal_2025-07-23: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-13950-v1-mkmlizer: quantized model in 161.993s
junhua024-chai-02-full-13950-v1-mkmlizer: Processed model junhua024/chai_02_full_qkv100_o1060_ffn106_1925 in 333.795s
junhua024-chai-02-full-13950-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-13950-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-13950-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia
junhua024-chai-02-full-13950-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia/config.json
junhua024-chai-02-full-13950-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-13950-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-13950-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia/tokenizer.json
junhua024-chai-02-full-13950-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-13950-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-13950-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 15.87it/s]
Loading 0:   1%|          | 4/363 [00:02<03:31,  1.69it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:18,  1.38it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:16,  2.59it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:11,  2.69it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:53,  3.11it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:47,  2.10it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:38,  1.61it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:29,  2.33it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:16,  2.54it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:54,  3.04it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:20,  2.46it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:04,  2.74it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:41,  2.11it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:19,  1.70it/s]
Loading 0:   7%|▋         | 26/363 [00:10<02:03,  2.74it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.87it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:42,  3.28it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:30,  2.21it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:53,  2.94it/s]
Loading 0:   9%|▉         | 32/363 [00:12<01:47,  3.07it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:33,  3.54it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:04,  2.64it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:51,  1.91it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:17,  2.36it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:48,  1.91it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:23,  1.58it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:02,  2.60it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:55,  2.75it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.16it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.84it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:21,  3.86it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:11,  4.36it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:46,  2.93it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:27,  2.11it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:07,  1.65it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:20,  2.17it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:49,  1.80it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:20,  1.52it/s]
Loading 0:  17%|█▋        | 62/363 [00:25<01:59,  2.53it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:52,  2.68it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:36,  3.10it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:57,  2.53it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:31,  1.95it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:05,  1.59it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:48,  2.70it/s]
Loading 0:  20%|█▉        | 72/363 [00:29<01:42,  2.84it/s]
Loading 0:  20%|██        | 73/363 [00:29<01:28,  3.28it/s]
Loading 0:  20%|██        | 74/363 [00:30<02:11,  2.19it/s]
Loading 0:  21%|██        | 75/363 [00:31<02:52,  1.66it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:00,  2.38it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:50,  2.59it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:32,  3.08it/s]
Loading 0:  22%|██▏       | 80/363 [00:33<02:23,  1.97it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:41,  2.76it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:35,  2.94it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:20,  3.47it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:41,  2.72it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:34,  2.90it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:04,  2.20it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:36,  1.74it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:35,  2.80it/s]
Loading 0:  26%|██▌       | 95/363 [00:38<01:31,  2.93it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:19,  3.35it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:41,  2.62it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:16,  1.94it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:50,  2.36it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:15,  1.92it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:42,  1.59it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:38,  2.60it/s]
Loading 0:  30%|██▉       | 108/363 [00:44<01:32,  2.75it/s]
Loading 0:  30%|███       | 109/363 [00:44<01:20,  3.16it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:05,  3.83it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:06,  3.79it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:58,  4.27it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:25,  2.89it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:59,  2.08it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:30,  1.63it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:52,  2.16it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:15,  1.79it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:39,  1.51it/s]
Loading 0:  34%|███▍      | 125/363 [00:51<01:34,  2.53it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:28,  2.68it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:16,  3.10it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:32,  2.53it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<01:59,  1.96it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:26,  1.58it/s]
Loading 0:  37%|███▋      | 134/363 [00:55<01:25,  2.69it/s]
Loading 0:  37%|███▋      | 135/363 [00:55<01:20,  2.83it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:09,  3.26it/s]
Loading 0:  38%|███▊      | 137/363 [00:56<01:43,  2.18it/s]
Loading 0:  38%|███▊      | 138/363 [00:57<02:14,  1.67it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:33,  2.39it/s]
Loading 0:  39%|███▉      | 141/363 [00:58<01:25,  2.59it/s]
Loading 0:  39%|███▉      | 142/363 [00:58<01:12,  3.06it/s]
Loading 0:  40%|███▉      | 144/363 [00:59<01:30,  2.43it/s]
Loading 0:  40%|████      | 147/363 [01:00<01:19,  2.72it/s]
Loading 0:  41%|████      | 148/363 [01:01<01:42,  2.10it/s]
Loading 0:  41%|████      | 149/363 [01:02<02:06,  1.69it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:17,  2.73it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.86it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:03,  3.27it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:34,  2.21it/s]
Loading 0:  43%|████▎     | 157/363 [01:04<01:10,  2.93it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:06,  3.07it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:57,  3.55it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:16,  2.65it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:45,  1.91it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:23,  2.36it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:43,  1.91it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:05,  1.57it/s]
Loading 0:  47%|████▋     | 170/363 [01:10<01:14,  2.58it/s]
Loading 0:  47%|████▋     | 171/363 [01:10<01:10,  2.72it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:01,  3.12it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.79it/s]
Loading 0:  48%|████▊     | 175/363 [01:11<00:50,  3.76it/s]
Loading 0:  48%|████▊     | 176/363 [01:11<00:44,  4.25it/s]
Loading 0:  49%|████▉     | 178/363 [01:12<01:04,  2.88it/s]
Loading 0:  49%|████▉     | 179/363 [01:13<01:28,  2.09it/s]
Loading 0:  50%|████▉     | 180/363 [01:14<01:50,  1.65it/s]
Loading 0:  50%|█████     | 183/363 [01:15<01:22,  2.18it/s]
Loading 0:  51%|█████     | 184/363 [01:16<01:39,  1.81it/s]
Loading 0:  51%|█████     | 185/363 [01:17<01:56,  1.53it/s]
Loading 0:  52%|█████▏    | 188/363 [01:17<01:08,  2.55it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.70it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.13it/s]
Loading 0:  53%|█████▎    | 192/363 [01:19<01:06,  2.56it/s]
Loading 0:  53%|█████▎    | 193/363 [01:20<01:26,  1.97it/s]
Loading 0:  53%|█████▎    | 194/363 [01:21<01:46,  1.59it/s]
Loading 0:  54%|█████▍    | 197/363 [01:21<01:01,  2.69it/s]
Loading 0:  55%|█████▍    | 198/363 [01:21<00:58,  2.83it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:50,  3.26it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:14,  2.18it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:37,  1.67it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.39it/s]
Loading 0:  56%|█████▌    | 204/363 [01:24<01:01,  2.60it/s]
Loading 0:  56%|█████▋    | 205/363 [01:24<00:51,  3.09it/s]
Loading 0:  57%|█████▋    | 207/363 [01:25<01:02,  2.50it/s]
Loading 0:  58%|█████▊    | 210/363 [01:26<00:55,  2.77it/s]
Loading 0:  58%|█████▊    | 211/363 [01:27<01:11,  2.14it/s]
Loading 0:  58%|█████▊    | 212/363 [01:28<01:28,  1.72it/s]
Loading 0:  59%|█████▉    | 215/363 [01:29<00:53,  2.77it/s]
Loading 0:  60%|█████▉    | 216/363 [01:29<00:50,  2.90it/s]
Loading 0:  60%|█████▉    | 217/363 [01:29<00:43,  3.33it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:04,  2.24it/s]
Loading 0:  61%|██████    | 220/363 [01:30<00:48,  2.98it/s]
Loading 0:  61%|██████    | 221/363 [01:31<00:45,  3.11it/s]
Loading 0:  61%|██████    | 222/363 [01:31<00:38,  3.62it/s]
Loading 0:  62%|██████▏   | 224/363 [01:32<00:51,  2.69it/s]
Loading 0:  62%|██████▏   | 225/363 [01:33<01:11,  1.93it/s]
Loading 0:  63%|██████▎   | 228/363 [01:34<00:56,  2.39it/s]
Loading 0:  63%|██████▎   | 229/363 [01:35<01:09,  1.93it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:23,  1.60it/s]
Loading 0:  64%|██████▍   | 233/363 [01:36<00:49,  2.63it/s]
Loading 0:  64%|██████▍   | 234/363 [01:36<00:46,  2.77it/s]
Loading 0:  65%|██████▍   | 235/363 [01:36<00:40,  3.20it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.87it/s]
Loading 0:  66%|██████▌   | 238/363 [01:37<00:32,  3.83it/s]
Loading 0:  66%|██████▌   | 239/363 [01:37<00:28,  4.32it/s]
Loading 0:  66%|██████▋   | 241/363 [01:38<00:41,  2.92it/s]
Loading 0:  67%|██████▋   | 242/363 [01:39<00:57,  2.10it/s]
Loading 0:  67%|██████▋   | 243/363 [01:40<01:12,  1.65it/s]
Loading 0:  68%|██████▊   | 246/363 [01:41<00:53,  2.18it/s]
Loading 0:  68%|██████▊   | 247/363 [01:42<01:04,  1.81it/s]
Loading 0:  68%|██████▊   | 248/363 [01:43<01:15,  1.53it/s]
Loading 0:  69%|██████▉   | 251/363 [01:43<00:43,  2.55it/s]
Loading 0:  69%|██████▉   | 252/363 [01:44<00:41,  2.70it/s]
Loading 0:  70%|██████▉   | 253/363 [01:44<00:35,  3.12it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.55it/s]
Loading 0:  71%|███████   | 256/363 [01:46<00:54,  1.97it/s]
Loading 0:  71%|███████   | 257/363 [01:47<01:06,  1.59it/s]
Loading 0:  72%|███████▏  | 260/363 [01:47<00:38,  2.70it/s]
Loading 0:  72%|███████▏  | 261/363 [01:47<00:35,  2.84it/s]
Loading 0:  72%|███████▏  | 262/363 [01:47<00:30,  3.29it/s]
Loading 0:  72%|███████▏  | 263/363 [01:48<00:45,  2.20it/s]
Loading 0:  73%|███████▎  | 264/363 [01:49<00:58,  1.68it/s]
Loading 0:  73%|███████▎  | 266/363 [01:50<00:40,  2.41it/s]
Loading 0:  74%|███████▎  | 267/363 [01:50<00:36,  2.62it/s]
Loading 0:  74%|███████▍  | 268/363 [01:50<00:30,  3.11it/s]
Loading 0:  74%|███████▍  | 270/363 [01:51<00:37,  2.51it/s]
Loading 0:  75%|███████▌  | 273/363 [01:52<00:32,  2.78it/s]
Loading 0:  75%|███████▌  | 274/363 [01:53<00:41,  2.14it/s]
Loading 0:  76%|███████▌  | 275/363 [01:54<00:51,  1.71it/s]
Loading 0:  77%|███████▋  | 278/363 [01:54<00:30,  2.75it/s]
Loading 0:  77%|███████▋  | 279/363 [01:55<00:29,  2.88it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:25,  3.29it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:37,  2.21it/s]
Loading 0:  78%|███████▊  | 283/363 [01:56<00:27,  2.94it/s]
Loading 0:  78%|███████▊  | 284/363 [01:56<00:25,  3.07it/s]
Loading 0:  79%|███████▊  | 285/363 [01:57<00:21,  3.57it/s]
Loading 0:  79%|███████▉  | 287/363 [01:58<00:28,  2.66it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:39,  1.92it/s]
Loading 0:  80%|████████  | 291/363 [02:00<00:30,  2.38it/s]
Loading 0:  80%|████████  | 292/363 [02:01<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:02<00:43,  1.60it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.63it/s]
Loading 0:  82%|████████▏ | 297/363 [02:02<00:23,  2.78it/s]
Loading 0:  82%|████████▏ | 298/363 [02:02<00:20,  3.20it/s]
Loading 0:  83%|████████▎ | 300/363 [02:03<00:16,  3.87it/s]
Loading 0:  83%|████████▎ | 301/363 [02:03<00:15,  3.88it/s]
Loading 0:  83%|████████▎ | 302/363 [02:03<00:13,  4.37it/s]
Loading 0:  84%|████████▎ | 304/363 [02:04<00:20,  2.95it/s]
Loading 0:  84%|████████▍ | 305/363 [02:05<00:27,  2.11it/s]
Loading 0:  84%|████████▍ | 306/363 [02:06<00:34,  1.65it/s]
Loading 0:  85%|████████▌ | 309/363 [02:07<00:24,  2.17it/s]
Loading 0:  85%|████████▌ | 310/363 [02:08<00:29,  1.80it/s]
Loading 0:  86%|████████▌ | 311/363 [02:09<00:33,  1.53it/s]
Loading 0:  87%|████████▋ | 314/363 [02:09<00:19,  2.55it/s]
Loading 0:  87%|████████▋ | 315/363 [02:10<00:17,  2.70it/s]
Loading 0:  87%|████████▋ | 316/363 [02:10<00:15,  3.09it/s]
Loading 0:  88%|████████▊ | 318/363 [02:11<00:17,  2.53it/s]
Loading 0:  88%|████████▊ | 319/363 [02:12<00:22,  1.96it/s]
Loading 0:  88%|████████▊ | 320/363 [02:13<00:27,  1.59it/s]
Loading 0:  89%|████████▉ | 323/363 [02:13<00:14,  2.67it/s]
Loading 0:  89%|████████▉ | 324/363 [02:13<00:13,  2.82it/s]
Loading 0:  90%|████████▉ | 325/363 [02:13<00:11,  3.25it/s]
Loading 0:  90%|████████▉ | 326/363 [02:14<00:16,  2.19it/s]
Loading 0:  90%|█████████ | 327/363 [02:15<00:21,  1.68it/s]
Loading 0:  91%|█████████ | 329/363 [02:16<00:14,  2.40it/s]
Loading 0:  91%|█████████ | 330/363 [02:16<00:12,  2.61it/s]
Loading 0:  91%|█████████ | 331/363 [02:16<00:10,  3.09it/s]
Loading 0:  92%|█████████▏| 333/363 [02:17<00:12,  2.46it/s]
Loading 0:  93%|█████████▎| 336/363 [02:18<00:09,  2.74it/s]
Loading 0:  93%|█████████▎| 337/363 [02:19<00:12,  2.12it/s]
Loading 0:  93%|█████████▎| 338/363 [02:20<00:14,  1.71it/s]
Loading 0:  94%|█████████▍| 341/363 [02:20<00:07,  2.77it/s]
Loading 0:  94%|█████████▍| 342/363 [02:21<00:07,  2.89it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.31it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.22it/s]
Loading 0:  95%|█████████▌| 346/363 [02:22<00:05,  2.96it/s]
Loading 0:  96%|█████████▌| 347/363 [02:22<00:05,  3.08it/s]
Loading 0:  96%|█████████▌| 348/363 [02:23<00:04,  3.56it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.58it/s]
Loading 0:  96%|█████████▋| 350/363 [02:23<00:03,  4.31it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:05,  2.31it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:06,  1.67it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.23it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.81it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:03,  1.51it/s]
Loading 0:  99%|█████████▉| 360/363 [02:28<00:01,  2.56it/s]
Loading 0:  99%|█████████▉| 361/363 [02:28<00:00,  2.72it/s]
Loading 0: 100%|█████████▉| 362/363 [02:29<00:00,  3.13it/s]
                                                            
Job junhua024-chai-02-full-13950-v1-mkmlizer completed after 354.77s with status: succeeded
Stopping job with name junhua024-chai-02-full-13950-v1-mkmlizer
Pipeline stage MKMLizer completed in 355.30s
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 junhua024-chai-02-full-13950-v1
Waiting for inference service junhua024-chai-02-full-13950-v1 to be ready
Inference service junhua024-chai-02-full-13950-v1 ready after 180.909343957901s
Pipeline stage MKMLDeployer completed in 181.76s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.0177531242370605s
Received healthy response to inference request in 2.009963274002075s
Received healthy response to inference request in 2.4519007205963135s
Received healthy response to inference request in 1.7776095867156982s
Received healthy response to inference request in 1.4897794723510742s
5 requests
0 failed requests
5th percentile: 1.5473454952239991
10th percentile: 1.6049115180969238
20th percentile: 1.7200435638427733
30th percentile: 1.8240803241729737
40th percentile: 1.9170217990875245
50th percentile: 2.009963274002075
60th percentile: 2.1867382526397705
70th percentile: 2.363513231277466
80th percentile: 2.9650712013244633
90th percentile: 3.9914121627807617
95th percentile: 4.504582643508911
99th percentile: 4.91511902809143
mean time: 2.5494012355804445
Pipeline stage StressChecker completed in 15.16s
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 0.72s
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 0.70s
Shutdown handler de-registered
junhua024-chai-02-full-_13950_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5727.22s
Shutdown handler de-registered
junhua024-chai-02-full-_13950_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_13950_v1 status is now torndown due to DeploymentManager action