junhua024-chai-02-full-0505

developer_uid: junhua024
submission_id: junhua024-chai-02-full-0505_v1
model_name: junhua024-chai-02-full-0505_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-22T15:25:58+00:00
num_battles: 7750
num_wins: 3824
celo_rating: 1269.46
family_friendly_score: 0.5526
family_friendly_standard_error: 0.007031831055991035
submission_type: basic
model_repo: junhua024/chai_02_full_0505
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': 0.6688115064311998, 'latency_mean': 1.4950852847099305, 'latency_p50': 1.489050269126892, 'latency_p90': 1.6284040927886962}, {'batch_size': 3, 'throughput': 1.1250232885942204, 'latency_mean': 2.6612012708187103, 'latency_p50': 2.6654000282287598, 'latency_p90': 2.943413829803467}, {'batch_size': 5, 'throughput': 1.308149914654395, 'latency_mean': 3.8105207800865175, 'latency_p50': 3.7856475114822388, 'latency_p90': 4.343773460388183}, {'batch_size': 6, 'throughput': 1.3569702049285113, 'latency_mean': 4.398314161300659, 'latency_p50': 4.392930030822754, 'latency_p90': 4.9565142631530765}, {'batch_size': 8, 'throughput': 1.4080770712497532, 'latency_mean': 5.649638506174088, 'latency_p50': 5.651500821113586, 'latency_p90': 6.367695784568786}, {'batch_size': 10, 'throughput': 1.4506156055994117, 'latency_mean': 6.837837878465653, 'latency_p50': 6.830712080001831, 'latency_p90': 7.827650451660156}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-0505_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_0505
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-22
win_ratio: 0.4934193548387097
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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####\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 junhua024-chai-02-full-0505-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-0505-v1-mkmlizer to finish
junhua024-chai-02-full-0505-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-0505-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-0505-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0505-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-0505-v1-mkmlizer: Downloaded to shared memory in 249.363s
junhua024-chai-02-full-0505-v1-mkmlizer: Checking if junhua024/chai_02_full_0505 already exists in ChaiML
junhua024-chai-02-full-0505-v1-mkmlizer: Creating repo ChaiML/chai_02_full_0505 and uploading /tmp/tmp8ceuocpq 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', '')
junhua024-chai-02-full-0505-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:03<01:18,  3.15s/it]
  8%|▊         | 2/26 [00:05<01:08,  2.86s/it]
 12%|█▏        | 3/26 [00:07<00:55,  2.41s/it]
 15%|█▌        | 4/26 [00:09<00:46,  2.12s/it]
 19%|█▉        | 5/26 [00:10<00:40,  1.94s/it]
 23%|██▎       | 6/26 [00:12<00:36,  1.82s/it]
 27%|██▋       | 7/26 [00:14<00:33,  1.77s/it]
 31%|███       | 8/26 [00:16<00:32,  1.82s/it]
 35%|███▍      | 9/26 [00:17<00:29,  1.72s/it]
 38%|███▊      | 10/26 [00:19<00:27,  1.74s/it]
 42%|████▏     | 11/26 [00:21<00:25,  1.73s/it]
 46%|████▌     | 12/26 [00:22<00:23,  1.71s/it]
 50%|█████     | 13/26 [00:27<00:32,  2.52s/it]
 54%|█████▍    | 14/26 [00:28<00:27,  2.27s/it]
 58%|█████▊    | 15/26 [00:30<00:22,  2.08s/it]
 62%|██████▏   | 16/26 [00:33<00:24,  2.45s/it]
 65%|██████▌   | 17/26 [00:36<00:21,  2.38s/it]
 69%|██████▉   | 18/26 [00:42<00:28,  3.53s/it]
 73%|███████▎  | 19/26 [00:48<00:31,  4.44s/it]
 77%|███████▋  | 20/26 [01:51<02:11, 21.98s/it]
 81%|████████  | 21/26 [01:54<01:20, 16.14s/it]
 85%|████████▍ | 22/26 [01:56<00:47, 11.87s/it]
 88%|████████▊ | 23/26 [01:57<00:26,  8.78s/it]
 92%|█████████▏| 24/26 [02:00<00:13,  6.86s/it]
 96%|█████████▌| 25/26 [02:01<00:05,  5.37s/it]
100%|██████████| 26/26 [02:03<00:00,  4.22s/it]
100%|██████████| 26/26 [02:03<00:00,  4.75s/it]
junhua024-chai-02-full-0505-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp8ceuocpq, device:0
junhua024-chai-02-full-0505-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-0505-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-0505-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-0505-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia
junhua024-chai-02-full-0505-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia/config.json
junhua024-chai-02-full-0505-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-0505-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-0505-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia/tokenizer.json
junhua024-chai-02-full-0505-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-0505-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-0505-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.38it/s]
Loading 0:   1%|          | 4/363 [00:02<03:31,  1.69it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:17,  1.39it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:16,  2.60it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:11,  2.70it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:52,  3.13it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:47,  2.10it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:37,  1.62it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:29,  2.34it/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<03:20,  1.70it/s]
Loading 0:   7%|▋         | 26/363 [00:10<02:03,  2.74it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.86it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:42,  3.26it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:32,  2.20it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:53,  2.92it/s]
Loading 0:   9%|▉         | 32/363 [00:12<01:48,  3.05it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:32,  3.56it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:03,  2.66it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:50,  1.92it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:16,  2.37it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:48,  1.92it/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,  2.74it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.16it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.81it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:23,  3.77it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:13,  4.26it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:50,  2.82it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:31,  2.05it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:10,  1.62it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:22,  2.15it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:50,  1.78it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:21,  1.51it/s]
Loading 0:  17%|█▋        | 62/363 [00:25<01:59,  2.52it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:52,  2.67it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:36,  3.11it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:56,  2.54it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:30,  1.96it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:05,  1.59it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:48,  2.69it/s]
Loading 0:  20%|█▉        | 72/363 [00:29<01:42,  2.83it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:28,  3.26it/s]
Loading 0:  20%|██        | 74/363 [00:30<02:12,  2.18it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:52,  1.67it/s]
Loading 0:  21%|██        | 77/363 [00:32<01:59,  2.39it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:49,  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<01:42,  2.75it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:35,  2.92it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.44it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:42,  2.71it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:34,  2.89it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:04,  2.19it/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 [00:39<01:31,  2.93it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:19,  3.34it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:40,  2.63it/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<02:41,  1.61it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:37,  2.62it/s]
Loading 0:  30%|██▉       | 108/363 [00:44<01:32,  2.76it/s]
Loading 0:  30%|███       | 109/363 [00:44<01:20,  3.17it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:05,  3.82it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:06,  3.79it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:58,  4.29it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:25,  2.89it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:58,  2.09it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:29,  1.65it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:51,  2.18it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:14,  1.80it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:38,  1.52it/s]
Loading 0:  34%|███▍      | 125/363 [00:51<01:33,  2.54it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:28,  2.69it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:15,  3.11it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:32,  2.54it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<01:59,  1.96it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:25,  1.59it/s]
Loading 0:  37%|███▋      | 134/363 [00:55<01:24,  2.70it/s]
Loading 0:  37%|███▋      | 135/363 [00:55<01:20,  2.84it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:09,  3.28it/s]
Loading 0:  38%|███▊      | 137/363 [00:56<01:43,  2.19it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<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,  2.60it/s]
Loading 0:  39%|███▉      | 142/363 [00:58<01:11,  3.11it/s]
Loading 0:  40%|███▉      | 144/363 [00:59<01:28,  2.48it/s]
Loading 0:  40%|████      | 147/363 [01:00<01:18,  2.75it/s]
Loading 0:  41%|████      | 148/363 [01:01<01:41,  2.12it/s]
Loading 0:  41%|████      | 149/363 [01:02<02:05,  1.70it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:16,  2.75it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:12,  2.88it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:03,  3.31it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:33,  2.22it/s]
Loading 0:  43%|████▎     | 157/363 [01:04<01:09,  2.96it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:06,  3.09it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:56,  3.60it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:15,  2.66it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:44,  1.92it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:23,  2.37it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:43,  1.91it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:04,  1.58it/s]
Loading 0:  47%|████▋     | 170/363 [01:10<01:14,  2.60it/s]
Loading 0:  47%|████▋     | 171/363 [01:10<01:09,  2.75it/s]
Loading 0:  47%|████▋     | 172/363 [01:10<01:00,  3.17it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.84it/s]
Loading 0:  48%|████▊     | 175/363 [01:11<00:49,  3.79it/s]
Loading 0:  48%|████▊     | 176/363 [01:11<00:43,  4.28it/s]
Loading 0:  49%|████▉     | 178/363 [01:12<01:03,  2.89it/s]
Loading 0:  49%|████▉     | 179/363 [01:13<01:28,  2.09it/s]
Loading 0:  50%|████▉     | 180/363 [01:14<01:51,  1.64it/s]
Loading 0:  50%|█████     | 183/363 [01:15<01:22,  2.17it/s]
Loading 0:  51%|█████     | 184/363 [01:16<01:39,  1.80it/s]
Loading 0:  51%|█████     | 185/363 [01:17<01:56,  1.52it/s]
Loading 0:  52%|█████▏    | 188/363 [01:17<01:08,  2.54it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.69it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.12it/s]
Loading 0:  53%|█████▎    | 192/363 [01:19<01:07,  2.54it/s]
Loading 0:  53%|█████▎    | 193/363 [01:20<01:26,  1.96it/s]
Loading 0:  53%|█████▎    | 194/363 [01:21<01:45,  1.60it/s]
Loading 0:  54%|█████▍    | 197/363 [01:21<01:01,  2.70it/s]
Loading 0:  55%|█████▍    | 198/363 [01:21<00:57,  2.85it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:49,  3.30it/s]
Loading 0:  55%|█████▌    | 200/363 [01:22<01:14,  2.20it/s]
Loading 0:  55%|█████▌    | 201/363 [01:23<01:36,  1.68it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.41it/s]
Loading 0:  56%|█████▌    | 204/363 [01:24<01:00,  2.62it/s]
Loading 0:  56%|█████▋    | 205/363 [01:24<00:50,  3.12it/s]
Loading 0:  57%|█████▋    | 207/363 [01:25<01:02,  2.49it/s]
Loading 0:  58%|█████▊    | 210/363 [01:26<00:55,  2.76it/s]
Loading 0:  58%|█████▊    | 211/363 [01:27<01:11,  2.13it/s]
Loading 0:  58%|█████▊    | 212/363 [01:28<01:28,  1.71it/s]
Loading 0:  59%|█████▉    | 215/363 [01:29<00:53,  2.76it/s]
Loading 0:  60%|█████▉    | 216/363 [01:29<00:50,  2.89it/s]
Loading 0:  60%|█████▉    | 217/363 [01:29<00:43,  3.32it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:04,  2.23it/s]
Loading 0:  61%|██████    | 220/363 [01:30<00:48,  2.96it/s]
Loading 0:  61%|██████    | 221/363 [01:30<00:45,  3.09it/s]
Loading 0:  61%|██████    | 222/363 [01:31<00:39,  3.61it/s]
Loading 0:  62%|██████▏   | 224/363 [01:32<00:51,  2.68it/s]
Loading 0:  62%|██████▏   | 225/363 [01:33<01:11,  1.93it/s]
Loading 0:  63%|██████▎   | 228/363 [01:34<00:56,  2.38it/s]
Loading 0:  63%|██████▎   | 229/363 [01:35<01:09,  1.92it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:23,  1.60it/s]
Loading 0:  64%|██████▍   | 233/363 [01:36<00:49,  2.64it/s]
Loading 0:  64%|██████▍   | 234/363 [01:36<00:46,  2.78it/s]
Loading 0:  65%|██████▍   | 235/363 [01:36<00:40,  3.20it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.86it/s]
Loading 0:  66%|██████▌   | 238/363 [01:37<00:32,  3.82it/s]
Loading 0:  66%|██████▌   | 239/363 [01:37<00:28,  4.32it/s]
Loading 0:  66%|██████▋   | 241/363 [01:38<00:41,  2.91it/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<01:14,  1.53it/s]
Loading 0:  69%|██████▉   | 251/363 [01:43<00:43,  2.56it/s]
Loading 0:  69%|██████▉   | 252/363 [01:44<00:40,  2.71it/s]
Loading 0:  70%|██████▉   | 253/363 [01:44<00:35,  3.13it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.56it/s]
Loading 0:  71%|███████   | 256/363 [01:46<00:54,  1.98it/s]
Loading 0:  71%|███████   | 257/363 [01:47<01:05,  1.61it/s]
Loading 0:  72%|███████▏  | 260/363 [01:47<00:37,  2.72it/s]
Loading 0:  72%|███████▏  | 261/363 [01:47<00:35,  2.87it/s]
Loading 0:  72%|███████▏  | 262/363 [01:47<00:30,  3.30it/s]
Loading 0:  72%|███████▏  | 263/363 [01:48<00:45,  2.21it/s]
Loading 0:  73%|███████▎  | 264/363 [01:49<00:58,  1.69it/s]
Loading 0:  73%|███████▎  | 266/363 [01:50<00:40,  2.41it/s]
Loading 0:  74%|███████▎  | 267/363 [01:50<00:36,  2.61it/s]
Loading 0:  74%|███████▍  | 268/363 [01:50<00:30,  3.13it/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,  2.15it/s]
Loading 0:  76%|███████▌  | 275/363 [01:54<00:50,  1.73it/s]
Loading 0:  77%|███████▋  | 278/363 [01:54<00:30,  2.79it/s]
Loading 0:  77%|███████▋  | 279/363 [01:55<00:28,  2.92it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:24,  3.36it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:36,  2.24it/s]
Loading 0:  78%|███████▊  | 283/363 [01:56<00:26,  2.98it/s]
Loading 0:  78%|███████▊  | 284/363 [01:56<00:25,  3.11it/s]
Loading 0:  79%|███████▊  | 285/363 [01:56<00:22,  3.51it/s]
Loading 0:  79%|███████▉  | 287/363 [01:57<00:29,  2.60it/s]
Loading 0:  79%|███████▉  | 288/363 [01:58<00:39,  1.90it/s]
Loading 0:  80%|████████  | 291/363 [01:59<00:30,  2.37it/s]
Loading 0:  80%|████████  | 292/363 [02:00<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:01<00:43,  1.60it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.64it/s]
Loading 0:  82%|████████▏ | 297/363 [02:02<00:23,  2.78it/s]
Loading 0:  82%|████████▏ | 298/363 [02:02<00:20,  3.21it/s]
Loading 0:  83%|████████▎ | 300/363 [02:02<00:16,  3.88it/s]
Loading 0:  83%|████████▎ | 301/363 [02:03<00:16,  3.83it/s]
Loading 0:  83%|████████▎ | 302/363 [02:03<00:14,  4.33it/s]
Loading 0:  84%|████████▎ | 304/363 [02:04<00:20,  2.93it/s]
Loading 0:  84%|████████▍ | 305/363 [02:05<00:27,  2.11it/s]
Loading 0:  84%|████████▍ | 306/363 [02:06<00:34,  1.66it/s]
Loading 0:  85%|████████▌ | 309/363 [02:07<00:24,  2.20it/s]
Loading 0:  85%|████████▌ | 310/363 [02:08<00:29,  1.81it/s]
Loading 0:  86%|████████▌ | 311/363 [02:09<00:33,  1.54it/s]
Loading 0:  87%|████████▋ | 314/363 [02:09<00:19,  2.56it/s]
Loading 0:  87%|████████▋ | 315/363 [02:09<00:17,  2.71it/s]
Loading 0:  87%|████████▋ | 316/363 [02:09<00:15,  3.13it/s]
Loading 0:  88%|████████▊ | 318/363 [02:10<00:17,  2.56it/s]
Loading 0:  88%|████████▊ | 319/363 [02:11<00:22,  1.97it/s]
Loading 0:  88%|████████▊ | 320/363 [02:12<00:26,  1.59it/s]
Loading 0:  89%|████████▉ | 323/363 [02:13<00:14,  2.70it/s]
Loading 0:  89%|████████▉ | 324/363 [02:13<00:13,  2.84it/s]
Loading 0:  90%|████████▉ | 325/363 [02:13<00:11,  3.27it/s]
Loading 0:  90%|████████▉ | 326/363 [02:14<00:16,  2.20it/s]
Loading 0:  90%|█████████ | 327/363 [02:15<00:21,  1.69it/s]
Loading 0:  91%|█████████ | 329/363 [02:15<00:14,  2.41it/s]
Loading 0:  91%|█████████ | 330/363 [02:16<00:12,  2.62it/s]
Loading 0:  91%|█████████ | 331/363 [02:16<00:10,  3.11it/s]
Loading 0:  92%|█████████▏| 333/363 [02:17<00:12,  2.50it/s]
Loading 0:  93%|█████████▎| 336/363 [02:18<00:09,  2.77it/s]
Loading 0:  93%|█████████▎| 337/363 [02:19<00:12,  2.14it/s]
Loading 0:  93%|█████████▎| 338/363 [02:20<00:14,  1.72it/s]
Loading 0:  94%|█████████▍| 341/363 [02:20<00:07,  2.76it/s]
Loading 0:  94%|█████████▍| 342/363 [02:20<00:07,  2.89it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.32it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.23it/s]
Loading 0:  95%|█████████▌| 346/363 [02:22<00:05,  2.95it/s]
Loading 0:  96%|█████████▌| 347/363 [02:22<00:05,  3.07it/s]
Loading 0:  96%|█████████▌| 348/363 [02:22<00:04,  3.57it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.63it/s]
Loading 0:  96%|█████████▋| 350/363 [02:23<00:02,  4.37it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:05,  2.32it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:06,  1.68it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.22it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.81it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:03,  1.52it/s]
Loading 0:  99%|█████████▉| 360/363 [02:28<00:01,  2.57it/s]
Loading 0:  99%|█████████▉| 361/363 [02:28<00:00,  2.73it/s]
Loading 0: 100%|█████████▉| 362/363 [02:28<00:00,  3.17it/s]
                                                            
Job junhua024-chai-02-full-0505-v1-mkmlizer completed after 591.25s with status: succeeded
Stopping job with name junhua024-chai-02-full-0505-v1-mkmlizer
Pipeline stage MKMLizer completed in 592.25s
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-0505-v1
Waiting for inference service junhua024-chai-02-full-0505-v1 to be ready
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', '')
Inference service junhua024-chai-02-full-0505-v1 ready after 324.90242075920105s
Pipeline stage MKMLDeployer completed in 325.68s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.737638235092163s
Received healthy response to inference request in 1.3796415328979492s
Received healthy response to inference request in 1.2946302890777588s
Received healthy response to inference request in 1.5481054782867432s
Received healthy response to inference request in 1.5267863273620605s
5 requests
0 failed requests
5th percentile: 1.3116325378417968
10th percentile: 1.328634786605835
20th percentile: 1.3626392841339112
30th percentile: 1.4090704917907715
40th percentile: 1.467928409576416
50th percentile: 1.5267863273620605
60th percentile: 1.5353139877319335
70th percentile: 1.5438416481018067
80th percentile: 1.7860120296478272
90th percentile: 2.2618251323699954
95th percentile: 2.499731683731079
99th percentile: 2.690056924819946
mean time: 1.697360372543335
Pipeline stage StressChecker completed in 9.83s
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 0.78s
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 0.93s
Shutdown handler de-registered
junhua024-chai-02-full-0505_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 0.15s
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 junhua024-chai-02-full-0505-v1-profiler
Waiting for inference service junhua024-chai-02-full-0505-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2743.99s
Shutdown handler de-registered
junhua024-chai-02-full-0505_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-0505_v1 status is now torndown due to DeploymentManager action