junhua024-chai-12-full-06

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06_v7
model_name: junhua024-chai-12-full-06_v7
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T17:23:08+00:00
num_battles: 6931
num_wins: 3786
celo_rating: 1292.56
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_12_full_06
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-06_v7
is_internal_developer: False
language_model: junhua024/chai_12_full_06
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.5462415235896696
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': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-06-v7-mkmlizer
Waiting for job on junhua024-chai-12-full-06-v7-mkmlizer to finish
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7d24d0716d10>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-12-full-06-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-12-full-06-v7-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-v7-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-v7-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-v7-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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`
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7d24339db750>, 'Connection to chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-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-12-full-06-v7-mkmlizer: Downloaded to shared memory in 81.038s
junhua024-chai-12-full-06-v7-mkmlizer: Checking if junhua024/chai_12_full_06 already exists in ChaiML
junhua024-chai-12-full-06-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpsh3glimn, device:0
junhua024-chai-12-full-06-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-v7-mkmlizer: quantized model in 161.093s
junhua024-chai-12-full-06-v7-mkmlizer: Processed model junhua024/chai_12_full_06 in 242.214s
junhua024-chai-12-full-06-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia
junhua024-chai-12-full-06-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia/config.json
junhua024-chai-12-full-06-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia/tokenizer.json
junhua024-chai-12-full-06-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-v7/nvidia/flywheel_model.0.safetensors
junhua024-chai-12-full-06-v7-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:19, 18.37it/s]
Loading 0:   1%|          | 4/363 [00:02<03:31,  1.70it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:19,  1.38it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:17,  2.59it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:11,  2.68it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:53,  3.11it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:48,  2.09it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:36,  1.62it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:29,  2.34it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:16,  2.55it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:54,  3.03it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:21,  2.44it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:05,  2.72it/s]
Loading 0:   6%|▌         | 22/363 [00:09<02:42,  2.10it/s]
Loading 0:   6%|▋         | 23/363 [00:10<03:21,  1.68it/s]
Loading 0:   7%|▋         | 26/363 [00:10<02:03,  2.72it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.85it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:41,  3.29it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:31,  2.21it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:52,  2.94it/s]
Loading 0:   9%|▉         | 32/363 [00:12<01:47,  3.07it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:32,  3.57it/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,  2.36it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:49,  1.91it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:25,  1.57it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:03,  2.58it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:56,  2.72it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.14it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.80it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:23,  3.77it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:13,  4.28it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:47,  2.88it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:29,  2.08it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:09,  1.63it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:21,  2.16it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:50,  1.79it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:20,  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,  3.10it/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<03:06,  1.58it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:48,  2.68it/s]
Loading 0:  20%|█▉        | 72/363 [00:29<01:43,  2.82it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:29,  3.26it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:12,  2.18it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:52,  1.67it/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<01:31,  3.10it/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,  2.92it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:20,  3.46it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:42,  2.71it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:34,  2.88it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:04,  2.19it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:37,  1.73it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:36,  2.78it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:32,  2.90it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:20,  3.32it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:42,  2.59it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:16,  1.93it/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<01:19,  3.18it/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,  4.30it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:25,  2.91it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:58,  2.09it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:29,  1.64it/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<02:38,  1.52it/s]
Loading 0:  34%|███▍      | 125/363 [00:51<01:33,  2.53it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:28,  2.69it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:15,  3.12it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:31,  2.54it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<01:58,  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<01:08,  3.29it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:42,  2.20it/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,  3.10it/s]
Loading 0:  40%|███▉      | 144/363 [00:59<01:29,  2.46it/s]
Loading 0:  40%|████      | 147/363 [01:00<01:19,  2.73it/s]
Loading 0:  41%|████      | 148/363 [01:01<01:41,  2.11it/s]
Loading 0:  41%|████      | 149/363 [01:02<02:06,  1.70it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:16,  2.75it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.88it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:03,  3.31it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:33,  2.23it/s]
Loading 0:  43%|████▎     | 157/363 [01:04<01:09,  2.96it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:06,  3.10it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:56,  3.62it/s]
Loading 0:  44%|████▍     | 160/363 [01:05<00:47,  4.31it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:26,  2.33it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:59,  1.68it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:28,  2.25it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:48,  1.82it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:09,  1.52it/s]
Loading 0:  47%|████▋     | 170/363 [01:10<01:15,  2.57it/s]
Loading 0:  47%|████▋     | 171/363 [01:10<01:10,  2.72it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:00,  3.16it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:49,  3.86it/s]
Loading 0:  48%|████▊     | 175/363 [01:11<00:49,  3.81it/s]
Loading 0:  48%|████▊     | 176/363 [01:11<00:43,  4.33it/s]
Loading 0:  49%|████▉     | 178/363 [01:12<01:04,  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,  1.53it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:08,  2.55it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.71it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.13it/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<01:46,  1.59it/s]
Loading 0:  54%|█████▍    | 197/363 [01:21<01:01,  2.70it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:58,  2.84it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:49,  3.29it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:14,  2.19it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:36,  1.68it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.40it/s]
Loading 0:  56%|█████▌    | 204/363 [01:24<01:00,  2.61it/s]
Loading 0:  56%|█████▋    | 205/363 [01:24<00:50,  3.11it/s]
Loading 0:  57%|█████▋    | 207/363 [01:25<01:02,  2.49it/s]
Loading 0:  58%|█████▊    | 210/363 [01:26<00:55,  2.77it/s]
Loading 0:  58%|█████▊    | 211/363 [01:27<01:11,  2.13it/s]
Loading 0:  58%|█████▊    | 212/363 [01:28<01:27,  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<00:44,  3.31it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:05,  2.23it/s]
Loading 0:  61%|██████    | 220/363 [01:30<00:48,  2.96it/s]
Loading 0:  61%|██████    | 221/363 [01:31<00:46,  3.09it/s]
Loading 0:  61%|██████    | 222/363 [01:31<00:39,  3.60it/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,  1.93it/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,  2.78it/s]
Loading 0:  65%|██████▍   | 235/363 [01:36<00:39,  3.22it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.89it/s]
Loading 0:  66%|██████▌   | 238/363 [01:37<00:32,  3.84it/s]
Loading 0:  66%|██████▌   | 239/363 [01:37<00:28,  4.36it/s]
Loading 0:  66%|██████▋   | 241/363 [01:38<00:41,  2.93it/s]
Loading 0:  67%|██████▋   | 242/363 [01:39<00:57,  2.11it/s]
Loading 0:  67%|██████▋   | 243/363 [01:40<01:12,  1.64it/s]
Loading 0:  68%|██████▊   | 246/363 [01:41<00:53,  2.17it/s]
Loading 0:  68%|██████▊   | 247/363 [01:42<01:04,  1.80it/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,  3.14it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.57it/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,  2.73it/s]
Loading 0:  72%|███████▏  | 261/363 [01:47<00:35,  2.87it/s]
Loading 0:  72%|███████▏  | 262/363 [01:47<00:30,  3.31it/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,  2.62it/s]
Loading 0:  74%|███████▍  | 268/363 [01:50<00:30,  3.13it/s]
Loading 0:  74%|███████▍  | 270/363 [01:51<00:37,  2.50it/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,  1.72it/s]
Loading 0:  77%|███████▋  | 278/363 [01:54<00:30,  2.78it/s]
Loading 0:  77%|███████▋  | 279/363 [01:55<00:28,  2.91it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:24,  3.33it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:36,  2.24it/s]
Loading 0:  78%|███████▊  | 283/363 [01:56<00:26,  2.97it/s]
Loading 0:  78%|███████▊  | 284/363 [01:56<00:25,  3.10it/s]
Loading 0:  79%|███████▊  | 285/363 [01:57<00:21,  3.61it/s]
Loading 0:  79%|███████▉  | 287/363 [01:58<00:28,  2.68it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:38,  1.94it/s]
Loading 0:  80%|████████  | 291/363 [01:59<00:30,  2.39it/s]
Loading 0:  80%|████████  | 292/363 [02:00<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:01<00:44,  1.59it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.62it/s]
Loading 0:  82%|████████▏ | 297/363 [02:02<00:23,  2.77it/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<00:16,  3.82it/s]
Loading 0:  83%|████████▎ | 302/363 [02:03<00:14,  4.34it/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,  1.82it/s]
Loading 0:  86%|████████▌ | 311/363 [02:09<00:33,  1.54it/s]
Loading 0:  87%|████████▋ | 314/363 [02:09<00:19,  2.57it/s]
Loading 0:  87%|████████▋ | 315/363 [02:09<00:17,  2.72it/s]
Loading 0:  87%|████████▋ | 316/363 [02:10<00:15,  3.09it/s]
Loading 0:  88%|████████▊ | 318/363 [02:11<00:17,  2.52it/s]
Loading 0:  88%|████████▊ | 319/363 [02:12<00:22,  1.95it/s]
Loading 0:  88%|████████▊ | 320/363 [02:13<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,  2.85it/s]
Loading 0:  90%|████████▉ | 325/363 [02:13<00:11,  3.29it/s]
Loading 0:  90%|████████▉ | 326/363 [02:14<00:16,  2.21it/s]
Loading 0:  90%|█████████ | 327/363 [02:15<00:21,  1.69it/s]
Loading 0:  91%|█████████ | 329/363 [02:16<00:14,  2.42it/s]
Loading 0:  91%|█████████ | 330/363 [02:16<00:12,  2.63it/s]
Loading 0:  91%|█████████ | 331/363 [02:16<00:10,  3.15it/s]
Loading 0:  92%|█████████▏| 333/363 [02:17<00:11,  2.52it/s]
Loading 0:  93%|█████████▎| 336/363 [02:18<00:09,  2.79it/s]
Loading 0:  93%|█████████▎| 337/363 [02:19<00:12,  2.15it/s]
Loading 0:  93%|█████████▎| 338/363 [02:20<00:14,  1.73it/s]
Loading 0:  94%|█████████▍| 341/363 [02:20<00:07,  2.79it/s]
Loading 0:  94%|█████████▍| 342/363 [02:20<00:07,  2.92it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.33it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.24it/s]
Loading 0:  95%|█████████▌| 346/363 [02:22<00:05,  2.98it/s]
Loading 0:  96%|█████████▌| 347/363 [02:22<00:05,  3.09it/s]
Loading 0:  96%|█████████▌| 348/363 [02:22<00:04,  3.59it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.64it/s]
Loading 0:  96%|█████████▋| 350/363 [02:23<00:02,  4.38it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:05,  2.34it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:06,  1.69it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.25it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.83it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:03,  1.54it/s]
Loading 0:  99%|█████████▉| 360/363 [02:28<00:01,  2.61it/s]
Loading 0:  99%|█████████▉| 361/363 [02:28<00:00,  2.76it/s]
Loading 0: 100%|█████████▉| 362/363 [02:28<00:00,  3.20it/s]
                                                            
Job junhua024-chai-12-full-06-v7-mkmlizer completed after 265.21s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-v7-mkmlizer
Pipeline stage MKMLizer completed in 265.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.24s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-06-v7
Waiting for inference service junhua024-chai-12-full-06-v7 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', '')
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-06-v7 ready after 201.67170667648315s
Pipeline stage MKMLDeployer completed in 202.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7145564556121826s
Received healthy response to inference request in 1.8051140308380127s
Received healthy response to inference request in 1.277827501296997s
Received healthy response to inference request in 1.7036426067352295s
Received healthy response to inference request in 2.3720762729644775s
5 requests
0 failed requests
5th percentile: 1.3629905223846435
10th percentile: 1.44815354347229
20th percentile: 1.618479585647583
30th percentile: 1.7239368915557862
40th percentile: 1.7645254611968995
50th percentile: 1.8051140308380127
60th percentile: 2.031898927688599
70th percentile: 2.2586838245391845
80th percentile: 2.440572309494019
90th percentile: 2.5775643825531005
95th percentile: 2.6460604190826413
99th percentile: 2.7008572483062743
mean time: 1.9746433734893798
Pipeline stage StressChecker completed in 11.55s
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 0.75s
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 0.80s
Shutdown handler de-registered
junhua024-chai-12-full-06_v7 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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-06-v7-profiler
Waiting for inference service junhua024-chai-12-full-06-v7-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-12-full-06_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06_v7 status is now torndown due to DeploymentManager action