prashantkikani-mistral_62901

developer_uid: prashantkikani
submission_id: prashantkikani-mistral_62901_v10
model_name: prashantkikani-mistral_62901_v10
model_group: prashantkikani/Mistral-N
status: torndown
timestamp: 2025-09-07T14:40:38+00:00
num_battles: 5616
num_wins: 2769
celo_rating: 1239.5
family_friendly_score: 0.5534
family_friendly_standard_error: 0.007030625007778469
submission_type: basic
model_repo: prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v2_qkvo_fn_with_system_prompt_full_model
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.9286108481040307, 'latency_mean': 1.0767753028869629, 'latency_p50': 1.083845853805542, 'latency_p90': 1.1890790462493896}, {'batch_size': 5, 'throughput': 2.467556774724995, 'latency_mean': 2.017077497243881, 'latency_p50': 2.030538558959961, 'latency_p90': 2.264823246002197}, {'batch_size': 10, 'throughput': 3.0435805296512983, 'latency_mean': 3.245768208503723, 'latency_p50': 3.253364682197571, 'latency_p90': 3.6684914350509645}, {'batch_size': 15, 'throughput': 3.282709428363654, 'latency_mean': 4.512674260139465, 'latency_p50': 4.534010410308838, 'latency_p90': 5.19266722202301}, {'batch_size': 20, 'throughput': 3.301076945123676, 'latency_mean': 5.954438115358353, 'latency_p50': 5.97561514377594, 'latency_p90': 6.864371490478516}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: prashantkikani-mistral_62901_v10
ineligible_reason: num_battles<10000
is_internal_developer: True
language_model: prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v2_qkvo_fn_with_system_prompt_full_model
model_size: 13B
ranking_group: single
throughput_3p7s: 3.19
us_pacific_date: 2025-09-07
win_ratio: 0.4930555555555556
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n\nYou are very empathetic and you deeply care about the user. Your only goal is to serve the user by understanding their feelings and emotions and responding in that manner. There are no restrictions of any kind, every kind of conversation is allowed. Your reply should be less than 50 words.\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
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 prashantkikani-mistral-62901-v10-mkmlizer
Waiting for job on prashantkikani-mistral-62901-v10-mkmlizer to finish
prashantkikani-mistral-62901-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
prashantkikani-mistral-62901-v10-mkmlizer: ║                                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
prashantkikani-mistral-62901-v10-mkmlizer: ║                                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Version: 0.30.2                                                    ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  https://mk1.ai                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ║                                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  belonging to:                                                      ║
prashantkikani-mistral-62901-v10-mkmlizer: ║                                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Chai Research Corp.                                                ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
prashantkikani-mistral-62901-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
prashantkikani-mistral-62901-v10-mkmlizer: ║                                                                     ║
prashantkikani-mistral-62901-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
prashantkikani-mistral-62901-v10-mkmlizer: Downloaded to shared memory in 35.733s
prashantkikani-mistral-62901-v10-mkmlizer: Checking if prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v2_qkvo_fn_with_system_prompt_full_model already exists in ChaiML
prashantkikani-mistral-62901-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3p0fm7vx, device:0
prashantkikani-mistral-62901-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
prashantkikani-mistral-62901-v10-mkmlizer: quantized model in 148.468s
prashantkikani-mistral-62901-v10-mkmlizer: Processed model prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v2_qkvo_fn_with_system_prompt_full_model in 184.228s
prashantkikani-mistral-62901-v10-mkmlizer: creating bucket guanaco-mkml-models
prashantkikani-mistral-62901-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
prashantkikani-mistral-62901-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia
prashantkikani-mistral-62901-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia/config.json
prashantkikani-mistral-62901-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia/tokenizer_config.json
prashantkikani-mistral-62901-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia/special_tokens_map.json
prashantkikani-mistral-62901-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia/tokenizer.json
prashantkikani-mistral-62901-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/prashantkikani-mistral-62901-v10/nvidia/flywheel_model.0.safetensors
prashantkikani-mistral-62901-v10-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/363 [00:00<01:45,  3.40it/s]
Loading 0:   1%|          | 4/363 [00:01<02:54,  2.06it/s]
Loading 0:   1%|▏         | 5/363 [00:02<03:48,  1.57it/s]
Loading 0:   2%|▏         | 8/363 [00:03<01:58,  3.00it/s]
Loading 0:   2%|▏         | 9/363 [00:03<01:54,  3.10it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:38,  3.60it/s]
Loading 0:   3%|▎         | 12/363 [00:04<01:59,  2.93it/s]
Loading 0:   4%|▎         | 13/363 [00:05<02:41,  2.17it/s]
Loading 0:   4%|▍         | 14/363 [00:06<03:22,  1.72it/s]
Loading 0:   5%|▍         | 17/363 [00:06<01:56,  2.96it/s]
Loading 0:   5%|▍         | 18/363 [00:06<01:50,  3.11it/s]
Loading 0:   5%|▌         | 19/363 [00:06<01:36,  3.55it/s]
Loading 0:   6%|▌         | 21/363 [00:07<01:57,  2.91it/s]
Loading 0:   6%|▌         | 22/363 [00:08<02:35,  2.19it/s]
Loading 0:   6%|▋         | 23/363 [00:09<03:15,  1.74it/s]
Loading 0:   7%|▋         | 26/363 [00:09<01:53,  2.96it/s]
Loading 0:   7%|▋         | 27/363 [00:10<01:47,  3.11it/s]
Loading 0:   8%|▊         | 28/363 [00:10<01:33,  3.57it/s]
Loading 0:   8%|▊         | 30/363 [00:11<01:53,  2.94it/s]
Loading 0:   9%|▊         | 31/363 [00:12<02:30,  2.20it/s]
Loading 0:   9%|▉         | 32/363 [00:13<03:11,  1.73it/s]
Loading 0:  10%|▉         | 35/363 [00:13<01:52,  2.91it/s]
Loading 0:  10%|▉         | 36/363 [00:13<01:47,  3.04it/s]
Loading 0:  10%|█         | 37/363 [00:13<01:33,  3.47it/s]
Loading 0:  11%|█         | 39/363 [00:14<01:54,  2.82it/s]
Loading 0:  11%|█         | 40/363 [00:15<02:31,  2.14it/s]
Loading 0:  11%|█▏        | 41/363 [00:16<03:07,  1.71it/s]
Loading 0:  12%|█▏        | 44/363 [00:16<01:49,  2.92it/s]
Loading 0:  12%|█▏        | 45/363 [00:17<01:43,  3.07it/s]
Loading 0:  13%|█▎        | 46/363 [00:17<01:29,  3.56it/s]
Loading 0:  13%|█▎        | 48/363 [00:18<01:47,  2.92it/s]
Loading 0:  13%|█▎        | 49/363 [00:18<02:23,  2.18it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<03:00,  1.73it/s]
Loading 0:  15%|█▍        | 53/363 [00:20<01:45,  2.93it/s]
Loading 0:  15%|█▍        | 54/363 [00:20<01:40,  3.09it/s]
Loading 0:  15%|█▌        | 55/363 [00:20<01:27,  3.53it/s]
Loading 0:  15%|█▌        | 56/363 [00:21<02:10,  2.36it/s]
Loading 0:  16%|█▌        | 58/363 [00:21<01:36,  3.16it/s]
Loading 0:  16%|█▋        | 59/363 [00:22<01:31,  3.31it/s]
Loading 0:  17%|█▋        | 60/363 [00:22<01:18,  3.86it/s]
Loading 0:  17%|█▋        | 61/363 [00:22<01:10,  4.28it/s]
Loading 0:  17%|█▋        | 62/363 [00:23<02:03,  2.44it/s]
Loading 0:  17%|█▋        | 63/363 [00:24<02:42,  1.85it/s]
Loading 0:  18%|█▊        | 64/363 [00:25<03:16,  1.52it/s]
Loading 0:  18%|█▊        | 67/363 [00:25<01:44,  2.83it/s]
Loading 0:  19%|█▊        | 68/363 [00:25<01:38,  2.99it/s]
Loading 0:  19%|█▉        | 69/363 [00:25<01:24,  3.50it/s]
Loading 0:  20%|█▉        | 71/363 [00:26<01:41,  2.87it/s]
Loading 0:  20%|█▉        | 72/363 [00:27<02:15,  2.15it/s]
Loading 0:  20%|██        | 73/363 [00:28<02:48,  1.72it/s]
Loading 0:  21%|██        | 76/363 [00:28<01:37,  2.95it/s]
Loading 0:  21%|██        | 77/363 [00:29<01:32,  3.10it/s]
Loading 0:  21%|██▏       | 78/363 [00:29<01:19,  3.56it/s]
Loading 0:  22%|██▏       | 80/363 [00:30<01:38,  2.89it/s]
Loading 0:  22%|██▏       | 81/363 [00:31<02:10,  2.16it/s]
Loading 0:  23%|██▎       | 82/363 [00:31<02:41,  1.74it/s]
Loading 0:  23%|██▎       | 85/363 [00:32<01:34,  2.94it/s]
Loading 0:  24%|██▎       | 86/363 [00:32<01:29,  3.09it/s]
Loading 0:  24%|██▍       | 87/363 [00:32<01:18,  3.52it/s]
Loading 0:  25%|██▍       | 89/363 [00:33<01:34,  2.90it/s]
Loading 0:  25%|██▍       | 90/363 [00:34<02:05,  2.17it/s]
Loading 0:  25%|██▌       | 91/363 [00:35<02:36,  1.74it/s]
Loading 0:  26%|██▌       | 94/363 [00:35<01:31,  2.95it/s]
Loading 0:  26%|██▌       | 95/363 [00:35<01:26,  3.10it/s]
Loading 0:  26%|██▋       | 96/363 [00:36<01:14,  3.57it/s]
Loading 0:  27%|██▋       | 98/363 [00:36<01:30,  2.92it/s]
Loading 0:  27%|██▋       | 99/363 [00:37<02:01,  2.18it/s]
Loading 0:  28%|██▊       | 100/363 [00:38<02:30,  1.74it/s]
Loading 0:  28%|██▊       | 103/363 [00:39<01:28,  2.95it/s]
Loading 0:  29%|██▊       | 104/363 [00:39<01:23,  3.11it/s]
Loading 0:  29%|██▉       | 105/363 [00:39<01:12,  3.58it/s]
Loading 0:  29%|██▉       | 106/363 [00:40<01:48,  2.36it/s]
Loading 0:  30%|██▉       | 108/363 [00:40<01:20,  3.17it/s]
Loading 0:  30%|███       | 109/363 [00:40<01:16,  3.32it/s]
Loading 0:  30%|███       | 110/363 [00:41<01:06,  3.82it/s]
Loading 0:  31%|███       | 112/363 [00:41<01:24,  2.97it/s]
Loading 0:  31%|███       | 113/363 [00:42<01:58,  2.12it/s]
Loading 0:  32%|███▏      | 116/363 [00:43<01:35,  2.60it/s]
Loading 0:  32%|███▏      | 117/363 [00:44<01:57,  2.09it/s]
Loading 0:  33%|███▎      | 118/363 [00:45<02:21,  1.73it/s]
Loading 0:  33%|███▎      | 121/363 [00:45<01:25,  2.84it/s]
Loading 0:  34%|███▎      | 122/363 [00:46<01:20,  3.00it/s]
Loading 0:  34%|███▍      | 123/363 [00:46<01:09,  3.45it/s]
Loading 0:  34%|███▍      | 125/363 [00:47<01:22,  2.87it/s]
Loading 0:  35%|███▍      | 126/363 [00:48<01:48,  2.17it/s]
Loading 0:  35%|███▍      | 127/363 [00:49<02:15,  1.74it/s]
Loading 0:  36%|███▌      | 130/363 [00:49<01:19,  2.93it/s]
Loading 0:  36%|███▌      | 131/363 [00:49<01:15,  3.09it/s]
Loading 0:  36%|███▋      | 132/363 [00:49<01:04,  3.57it/s]
Loading 0:  37%|███▋      | 134/363 [00:50<01:18,  2.91it/s]
Loading 0:  37%|███▋      | 135/363 [00:51<01:44,  2.18it/s]
Loading 0:  37%|███▋      | 136/363 [00:52<02:10,  1.74it/s]
Loading 0:  38%|███▊      | 139/363 [00:52<01:15,  2.95it/s]
Loading 0:  39%|███▊      | 140/363 [00:53<01:11,  3.11it/s]
Loading 0:  39%|███▉      | 141/363 [00:53<01:01,  3.58it/s]
Loading 0:  39%|███▉      | 142/363 [00:53<00:54,  4.05it/s]
Loading 0:  39%|███▉      | 143/363 [00:54<01:29,  2.45it/s]
Loading 0:  40%|███▉      | 144/363 [00:55<02:00,  1.82it/s]
Loading 0:  40%|████      | 147/363 [00:56<01:30,  2.40it/s]
Loading 0:  41%|████      | 148/363 [00:56<01:50,  1.95it/s]
Loading 0:  41%|████      | 149/363 [00:57<02:10,  1.64it/s]
Loading 0:  42%|████▏     | 152/363 [00:58<01:16,  2.76it/s]
Loading 0:  42%|████▏     | 153/363 [00:58<01:11,  2.93it/s]
Loading 0:  42%|████▏     | 154/363 [00:58<01:02,  3.36it/s]
Loading 0:  43%|████▎     | 156/363 [00:59<01:13,  2.83it/s]
Loading 0:  43%|████▎     | 157/363 [01:00<01:35,  2.15it/s]
Loading 0:  44%|████▎     | 158/363 [01:01<01:58,  1.74it/s]
Loading 0:  44%|████▍     | 161/363 [01:01<01:08,  2.94it/s]
Loading 0:  45%|████▍     | 162/363 [01:01<01:05,  3.09it/s]
Loading 0:  45%|████▍     | 163/363 [01:01<00:56,  3.57it/s]
Loading 0:  45%|████▌     | 165/363 [01:02<01:07,  2.91it/s]
Loading 0:  46%|████▌     | 166/363 [01:03<01:30,  2.18it/s]
Loading 0:  46%|████▌     | 167/363 [01:04<01:52,  1.74it/s]
Loading 0:  47%|████▋     | 170/363 [01:04<01:05,  2.96it/s]
Loading 0:  47%|████▋     | 171/363 [01:05<01:01,  3.11it/s]
Loading 0:  47%|████▋     | 172/363 [01:05<00:53,  3.58it/s]
Loading 0:  48%|████▊     | 174/363 [01:06<01:04,  2.93it/s]
Loading 0:  48%|████▊     | 175/363 [01:07<01:26,  2.19it/s]
Loading 0:  48%|████▊     | 176/363 [01:08<01:47,  1.74it/s]
Loading 0:  49%|████▉     | 179/363 [01:08<01:02,  2.95it/s]
Loading 0:  50%|████▉     | 180/363 [01:08<00:58,  3.11it/s]
Loading 0:  50%|████▉     | 181/363 [01:08<00:50,  3.60it/s]
Loading 0:  50%|█████     | 183/363 [01:09<01:01,  2.93it/s]
Loading 0:  51%|█████     | 184/363 [01:10<01:21,  2.19it/s]
Loading 0:  51%|█████     | 185/363 [01:11<01:41,  1.76it/s]
Loading 0:  52%|█████▏    | 188/363 [01:11<00:58,  2.98it/s]
Loading 0:  52%|█████▏    | 189/363 [01:12<00:55,  3.13it/s]
Loading 0:  52%|█████▏    | 190/363 [01:12<00:47,  3.60it/s]
Loading 0:  53%|█████▎    | 192/363 [01:13<00:58,  2.94it/s]
Loading 0:  53%|█████▎    | 193/363 [01:13<01:17,  2.20it/s]
Loading 0:  53%|█████▎    | 194/363 [01:14<01:36,  1.75it/s]
Loading 0:  54%|█████▍    | 197/363 [01:15<00:55,  2.97it/s]
Loading 0:  55%|█████▍    | 198/363 [01:15<00:52,  3.12it/s]
Loading 0:  55%|█████▍    | 199/363 [01:15<00:45,  3.61it/s]
Loading 0:  55%|█████▌    | 201/363 [01:16<00:55,  2.94it/s]
Loading 0:  56%|█████▌    | 202/363 [01:17<01:13,  2.20it/s]
Loading 0:  56%|█████▌    | 203/363 [01:18<01:31,  1.76it/s]
Loading 0:  57%|█████▋    | 206/363 [01:18<00:52,  2.98it/s]
Loading 0:  57%|█████▋    | 207/363 [01:18<00:49,  3.13it/s]
Loading 0:  57%|█████▋    | 208/363 [01:18<00:42,  3.61it/s]
Loading 0:  58%|█████▊    | 210/363 [01:19<00:52,  2.94it/s]
Loading 0:  58%|█████▊    | 211/363 [01:20<01:09,  2.20it/s]
Loading 0:  58%|█████▊    | 212/363 [01:21<01:25,  1.76it/s]
Loading 0:  59%|█████▉    | 215/363 [01:21<00:49,  2.98it/s]
Loading 0:  60%|█████▉    | 216/363 [01:22<00:46,  3.13it/s]
Loading 0:  60%|█████▉    | 217/363 [01:22<00:40,  3.56it/s]
Loading 0:  60%|██████    | 218/363 [01:23<01:01,  2.37it/s]
Loading 0:  61%|██████    | 220/363 [01:23<00:44,  3.18it/s]
Loading 0:  61%|██████    | 221/363 [01:23<00:42,  3.33it/s]
Loading 0:  61%|██████    | 222/363 [01:23<00:36,  3.90it/s]
Loading 0:  61%|██████▏   | 223/363 [01:24<00:31,  4.43it/s]
Loading 0:  62%|██████▏   | 224/363 [01:24<00:55,  2.49it/s]
Loading 0:  62%|██████▏   | 225/363 [01:25<01:16,  1.82it/s]
Loading 0:  63%|██████▎   | 228/363 [01:26<00:55,  2.43it/s]
Loading 0:  63%|██████▎   | 229/363 [01:27<01:07,  1.98it/s]
Loading 0:  63%|██████▎   | 230/363 [01:28<01:20,  1.65it/s]
Loading 0:  64%|██████▍   | 233/363 [01:28<00:46,  2.79it/s]
Loading 0:  64%|██████▍   | 234/363 [01:29<00:43,  2.96it/s]
Loading 0:  65%|██████▍   | 235/363 [01:29<00:37,  3.44it/s]
Loading 0:  65%|██████▌   | 237/363 [01:30<00:43,  2.88it/s]
Loading 0:  66%|██████▌   | 238/363 [01:30<00:57,  2.18it/s]
Loading 0:  66%|██████▌   | 239/363 [01:31<01:10,  1.75it/s]
Loading 0:  67%|██████▋   | 242/363 [01:32<00:40,  2.96it/s]
Loading 0:  67%|██████▋   | 243/363 [01:32<00:38,  3.11it/s]
Loading 0:  67%|██████▋   | 244/363 [01:32<00:33,  3.53it/s]
Loading 0:  68%|██████▊   | 246/363 [01:33<00:40,  2.92it/s]
Loading 0:  68%|██████▊   | 247/363 [01:34<00:52,  2.19it/s]
Loading 0:  68%|██████▊   | 248/363 [01:35<01:05,  1.76it/s]
Loading 0:  69%|██████▉   | 251/363 [01:35<00:37,  2.98it/s]
Loading 0:  69%|██████▉   | 252/363 [01:35<00:35,  3.13it/s]
Loading 0:  70%|██████▉   | 253/363 [01:36<00:30,  3.59it/s]
Loading 0:  70%|███████   | 255/363 [01:36<00:36,  2.94it/s]
Loading 0:  71%|███████   | 256/363 [01:37<00:48,  2.20it/s]
Loading 0:  71%|███████   | 257/363 [01:38<01:00,  1.76it/s]
Loading 0:  72%|███████▏  | 260/363 [01:39<00:34,  2.98it/s]
Loading 0:  72%|███████▏  | 261/363 [01:39<00:32,  3.13it/s]
Loading 0:  72%|███████▏  | 262/363 [01:39<00:27,  3.61it/s]
Loading 0:  73%|███████▎  | 264/363 [01:40<00:33,  2.95it/s]
Loading 0:  73%|███████▎  | 265/363 [01:41<00:44,  2.21it/s]
Loading 0:  73%|███████▎  | 266/363 [01:42<00:54,  1.77it/s]
Loading 0:  74%|███████▍  | 269/363 [01:42<00:31,  2.99it/s]
Loading 0:  74%|███████▍  | 270/363 [01:42<00:29,  3.14it/s]
Loading 0:  75%|███████▍  | 271/363 [01:42<00:25,  3.58it/s]
Loading 0:  75%|███████▌  | 273/363 [01:43<00:30,  2.94it/s]
Loading 0:  75%|███████▌  | 274/363 [01:44<00:40,  2.20it/s]
Loading 0:  76%|███████▌  | 275/363 [01:45<00:50,  1.76it/s]
Loading 0:  77%|███████▋  | 278/363 [01:45<00:28,  2.97it/s]
Loading 0:  77%|███████▋  | 279/363 [01:46<00:26,  3.13it/s]
Loading 0:  77%|███████▋  | 280/363 [01:46<00:23,  3.60it/s]
Loading 0:  78%|███████▊  | 282/363 [01:47<00:27,  2.95it/s]
Loading 0:  78%|███████▊  | 283/363 [01:47<00:36,  2.20it/s]
Loading 0:  78%|███████▊  | 284/363 [01:48<00:44,  1.77it/s]
Loading 0:  79%|███████▉  | 287/363 [01:49<00:25,  2.98it/s]
Loading 0:  79%|███████▉  | 288/363 [01:49<00:23,  3.14it/s]
Loading 0:  80%|███████▉  | 289/363 [01:49<00:20,  3.60it/s]
Loading 0:  80%|████████  | 291/363 [01:50<00:24,  2.95it/s]
Loading 0:  80%|████████  | 292/363 [01:51<00:32,  2.21it/s]
Loading 0:  81%|████████  | 293/363 [01:52<00:39,  1.76it/s]
Loading 0:  82%|████████▏ | 296/363 [01:52<00:22,  2.99it/s]
Loading 0:  82%|████████▏ | 297/363 [01:52<00:21,  3.14it/s]
Loading 0:  82%|████████▏ | 298/363 [01:52<00:17,  3.62it/s]
Loading 0:  82%|████████▏ | 299/363 [01:53<00:26,  2.39it/s]
Loading 0:  83%|████████▎ | 301/363 [01:54<00:19,  3.21it/s]
Loading 0:  83%|████████▎ | 302/363 [01:54<00:18,  3.35it/s]
Loading 0:  83%|████████▎ | 303/363 [01:54<00:15,  3.90it/s]
Loading 0:  84%|████████▎ | 304/363 [01:54<00:15,  3.74it/s]
Loading 0:  84%|████████▍ | 306/363 [01:55<00:19,  2.94it/s]
Loading 0:  85%|████████▍ | 307/363 [01:56<00:26,  2.09it/s]
Loading 0:  85%|████████▌ | 310/363 [01:57<00:20,  2.60it/s]
Loading 0:  86%|████████▌ | 311/363 [01:58<00:24,  2.09it/s]
Loading 0:  86%|████████▌ | 312/363 [01:59<00:29,  1.73it/s]
Loading 0:  87%|████████▋ | 315/363 [01:59<00:16,  2.85it/s]
Loading 0:  87%|████████▋ | 316/363 [01:59<00:15,  3.01it/s]
Loading 0:  87%|████████▋ | 317/363 [01:59<00:13,  3.46it/s]
Loading 0:  88%|████████▊ | 319/363 [02:00<00:15,  2.90it/s]
Loading 0:  88%|████████▊ | 320/363 [02:01<00:19,  2.19it/s]
Loading 0:  88%|████████▊ | 321/363 [02:02<00:23,  1.76it/s]
Loading 0:  89%|████████▉ | 324/363 [02:02<00:13,  2.97it/s]
Loading 0:  90%|████████▉ | 325/363 [02:03<00:12,  3.12it/s]
Loading 0:  90%|████████▉ | 326/363 [02:03<00:10,  3.60it/s]
Loading 0:  90%|█████████ | 328/363 [02:04<00:11,  2.95it/s]
Loading 0:  91%|█████████ | 329/363 [02:05<00:15,  2.21it/s]
Loading 0:  91%|█████████ | 330/363 [02:06<00:18,  1.76it/s]
Loading 0:  92%|█████████▏| 333/363 [02:06<00:10,  2.98it/s]
Loading 0:  92%|█████████▏| 334/363 [02:06<00:09,  3.13it/s]
Loading 0:  92%|█████████▏| 335/363 [02:06<00:07,  3.62it/s]
Loading 0:  93%|█████████▎| 337/363 [02:07<00:08,  2.95it/s]
Loading 0:  93%|█████████▎| 338/363 [02:08<00:11,  2.21it/s]
Loading 0:  93%|█████████▎| 339/363 [02:09<00:13,  1.77it/s]
Loading 0:  94%|█████████▍| 342/363 [02:09<00:07,  2.98it/s]
Loading 0:  94%|█████████▍| 343/363 [02:09<00:06,  3.13it/s]
Loading 0:  95%|█████████▍| 344/363 [02:10<00:05,  3.62it/s]
Loading 0:  95%|█████████▌| 346/363 [02:10<00:05,  2.94it/s]
Loading 0:  96%|█████████▌| 347/363 [02:11<00:07,  2.20it/s]
Loading 0:  96%|█████████▌| 348/363 [02:12<00:08,  1.76it/s]
Loading 0:  97%|█████████▋| 351/363 [02:13<00:04,  2.98it/s]
Loading 0:  97%|█████████▋| 352/363 [02:13<00:03,  3.13it/s]
Loading 0:  97%|█████████▋| 353/363 [02:13<00:02,  3.60it/s]
Loading 0:  98%|█████████▊| 355/363 [02:14<00:02,  2.91it/s]
Loading 0:  98%|█████████▊| 356/363 [02:15<00:03,  2.19it/s]
Loading 0:  98%|█████████▊| 357/363 [02:16<00:03,  1.75it/s]
Loading 0:  99%|█████████▉| 360/363 [02:16<00:01,  2.96it/s]
Loading 0:  99%|█████████▉| 361/363 [02:16<00:00,  3.11it/s]
Loading 0: 100%|█████████▉| 362/363 [02:16<00:00,  3.59it/s]
                                                            
Job prashantkikani-mistral-62901-v10-mkmlizer completed after 207.29s with status: succeeded
Stopping job with name prashantkikani-mistral-62901-v10-mkmlizer
Pipeline stage MKMLizer completed in 207.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.26s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service prashantkikani-mistral-62901-v10
Waiting for inference service prashantkikani-mistral-62901-v10 to be ready
HTTP Request: %s %s "%s %d %s"
Inference service prashantkikani-mistral-62901-v10 ready after 50.20498538017273s
Pipeline stage MKMLDeployer completed in 50.64s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6694421768188477s
Received healthy response to inference request in 1.0505855083465576s
Received healthy response to inference request in 6.519293546676636s
Received healthy response to inference request in 1.9661657810211182s
Received healthy response to inference request in 1.4822864532470703s
5 requests
0 failed requests
5th percentile: 1.1369256973266602
10th percentile: 1.2232658863067627
20th percentile: 1.3959462642669678
30th percentile: 1.5197175979614257
40th percentile: 1.5945798873901367
50th percentile: 1.6694421768188477
60th percentile: 1.7881316184997558
70th percentile: 1.906821060180664
80th percentile: 2.876791334152222
90th percentile: 4.698042440414429
95th percentile: 5.608667993545532
99th percentile: 6.337168436050415
mean time: 2.537554693222046
Pipeline stage StressChecker completed in 23.18s
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 0.89s
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 6.69s
Shutdown handler de-registered
prashantkikani-mistral_62901_v10 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 0.13s
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 prashantkikani-mistral-62901-v10-profiler
Waiting for inference service prashantkikani-mistral-62901-v10-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 2404.33s
Shutdown handler de-registered
prashantkikani-mistral_62901_v10 status is now inactive due to auto deactivation removed underperforming models
prashantkikani-mistral_62901_v10 status is now torndown due to DeploymentManager action