junhua024-chai-12-full-06

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06_v6
model_name: junhua024-chai-12-full-06_v6
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T16:03:05+00:00
num_battles: 5969
num_wins: 3166
celo_rating: 1288.54
family_friendly_score: 0.4586
family_friendly_standard_error: 0.007046787069296192
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_v6
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: 0.5304071033673983
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.2, '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-v6-mkmlizer
Waiting for job on junhua024-chai-12-full-06-v6-mkmlizer to finish
junhua024-chai-12-full-06-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-12-full-06-v6-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-06-v6-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-v6-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-v6-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-v6-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): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-06-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-06-v6-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-v6-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-v6-mkmlizer: Downloaded to shared memory in 74.683s
junhua024-chai-12-full-06-v6-mkmlizer: Checking if junhua024/chai_12_full_06 already exists in ChaiML
junhua024-chai-12-full-06-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpsvoq2vij, device:0
junhua024-chai-12-full-06-v6-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', '')
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): Read timed out. (read timeout=12.0)
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-12-full-06-v6-mkmlizer: quantized model in 162.255s
junhua024-chai-12-full-06-v6-mkmlizer: Processed model junhua024/chai_12_full_06 in 237.014s
junhua024-chai-12-full-06-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-v6/nvidia
junhua024-chai-12-full-06-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v6/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v6/nvidia/config.json
junhua024-chai-12-full-06-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v6/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v6/nvidia/tokenizer.json
junhua024-chai-12-full-06-v6-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.26it/s]
Loading 0:   1%|          | 4/363 [00:02<03:39,  1.63it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:26,  1.34it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:20,  2.53it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:13,  2.64it/s]
Loading 0:   3%|▎         | 10/363 [00:03<01:54,  3.08it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:48,  2.09it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:38,  1.61it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:30,  2.32it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:17,  2.54it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:55,  3.01it/s]
Loading 0:   5%|▍         | 18/363 [00:07<02:21,  2.45it/s]
Loading 0:   6%|▌         | 21/363 [00:08<02:05,  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 [00:11<02:03,  2.73it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:57,  2.85it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:43,  3.24it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:31,  2.20it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:53,  2.93it/s]
Loading 0:   9%|▉         | 32/363 [00:13<01:48,  3.06it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:34,  3.50it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:04,  2.64it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:52,  1.90it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:18,  2.34it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:50,  1.89it/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,  2.73it/s]
Loading 0:  13%|█▎        | 46/363 [00:18<01:40,  3.14it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:23,  3.79it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:23,  3.76it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:13,  4.26it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:47,  2.90it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:27,  2.10it/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<03:21,  1.51it/s]
Loading 0:  17%|█▋        | 62/363 [00:26<01:59,  2.51it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:52,  2.66it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:36,  3.08it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:58,  2.51it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:33,  1.93it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:08,  1.56it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:49,  2.66it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<01:43,  2.81it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:29,  3.25it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:11,  2.19it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:52,  1.67it/s]
Loading 0:  21%|██        | 77/363 [00:32<01:59,  2.38it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:50,  2.59it/s]
Loading 0:  22%|██▏       | 79/363 [00:32<01:32,  3.07it/s]
Loading 0:  22%|██▏       | 80/363 [00:33<02:24,  1.95it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:42,  2.74it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:36,  2.91it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:21,  3.42it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:42,  2.70it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:35,  2.88it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:04,  2.18it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:37,  1.73it/s]
Loading 0:  26%|██▌       | 94/363 [00:38<01:36,  2.79it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:31,  2.92it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:19,  3.34it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:40,  2.64it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:16,  1.94it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:50,  2.36it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:15,  1.92it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:42,  1.59it/s]
Loading 0:  29%|██▉       | 107/363 [00:44<01:38,  2.60it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:32,  2.75it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:20,  3.16it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:06,  3.82it/s]
Loading 0:  31%|███       | 112/363 [00:45<01:06,  3.78it/s]
Loading 0:  31%|███       | 113/363 [00:45<00:58,  4.27it/s]
Loading 0:  32%|███▏      | 115/363 [00:46<01:25,  2.89it/s]
Loading 0:  32%|███▏      | 116/363 [00:47<01:58,  2.08it/s]
Loading 0:  32%|███▏      | 117/363 [00:48<02:30,  1.63it/s]
Loading 0:  33%|███▎      | 120/363 [00:49<01:52,  2.16it/s]
Loading 0:  33%|███▎      | 121/363 [00:50<02:15,  1.78it/s]
Loading 0:  34%|███▎      | 122/363 [00:51<02:40,  1.51it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:34,  2.51it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:28,  2.66it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:16,  3.07it/s]
Loading 0:  36%|███▌      | 129/363 [00:53<01:33,  2.50it/s]
Loading 0:  36%|███▌      | 130/363 [00:54<02:00,  1.93it/s]
Loading 0:  36%|███▌      | 131/363 [00:55<02:27,  1.57it/s]
Loading 0:  37%|███▋      | 134/363 [00:55<01:25,  2.67it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.81it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:10,  3.24it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:43,  2.18it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:15,  1.66it/s]
Loading 0:  39%|███▊      | 140/363 [00:58<01:33,  2.38it/s]
Loading 0:  39%|███▉      | 141/363 [00:58<01:25,  2.60it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:11,  3.07it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:29,  2.45it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:19,  2.72it/s]
Loading 0:  41%|████      | 148/363 [01:02<01:42,  2.11it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:06,  1.70it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:16,  2.74it/s]
Loading 0:  42%|████▏     | 153/363 [01:03<01:13,  2.87it/s]
Loading 0:  42%|████▏     | 154/363 [01:03<01:03,  3.27it/s]
Loading 0:  43%|████▎     | 155/363 [01:04<01:34,  2.20it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:10,  2.94it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:06,  3.07it/s]
Loading 0:  44%|████▍     | 159/363 [01:05<00:57,  3.57it/s]
Loading 0:  44%|████▍     | 161/363 [01:06<01:16,  2.64it/s]
Loading 0:  45%|████▍     | 162/363 [01:07<01:45,  1.90it/s]
Loading 0:  45%|████▌     | 165/363 [01:08<01:23,  2.36it/s]
Loading 0:  46%|████▌     | 166/363 [01:09<01:43,  1.91it/s]
Loading 0:  46%|████▌     | 167/363 [01:10<02:03,  1.59it/s]
Loading 0:  47%|████▋     | 170/363 [01:10<01:13,  2.62it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:09,  2.76it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<00:59,  3.19it/s]
Loading 0:  48%|████▊     | 174/363 [01:11<00:48,  3.87it/s]
Loading 0:  48%|████▊     | 175/363 [01:11<00:49,  3.82it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:43,  4.33it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:04,  2.89it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:28,  2.09it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<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,  1.81it/s]
Loading 0:  51%|█████     | 185/363 [01:17<01:56,  1.53it/s]
Loading 0:  52%|█████▏    | 188/363 [01:18<01:08,  2.54it/s]
Loading 0:  52%|█████▏    | 189/363 [01:18<01:04,  2.70it/s]
Loading 0:  52%|█████▏    | 190/363 [01:18<00:55,  3.12it/s]
Loading 0:  53%|█████▎    | 192/363 [01:19<01:06,  2.56it/s]
Loading 0:  53%|█████▎    | 193/363 [01:20<01:26,  1.97it/s]
Loading 0:  53%|█████▎    | 194/363 [01:21<01:45,  1.60it/s]
Loading 0:  54%|█████▍    | 197/363 [01:21<01:01,  2.72it/s]
Loading 0:  55%|█████▍    | 198/363 [01:22<00:57,  2.86it/s]
Loading 0:  55%|█████▍    | 199/363 [01:22<00:50,  3.27it/s]
Loading 0:  55%|█████▌    | 200/363 [01:23<01:14,  2.19it/s]
Loading 0:  55%|█████▌    | 201/363 [01:24<01:36,  1.67it/s]
Loading 0:  56%|█████▌    | 203/363 [01:24<01:06,  2.40it/s]
Loading 0:  56%|█████▌    | 204/363 [01:24<01:01,  2.60it/s]
Loading 0:  56%|█████▋    | 205/363 [01:25<00:50,  3.11it/s]
Loading 0:  57%|█████▋    | 207/363 [01:26<01:02,  2.48it/s]
Loading 0:  58%|█████▊    | 210/363 [01:27<00:55,  2.76it/s]
Loading 0:  58%|█████▊    | 211/363 [01:28<01:11,  2.13it/s]
Loading 0:  58%|█████▊    | 212/363 [01:29<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<00:43,  3.34it/s]
Loading 0:  60%|██████    | 218/363 [01:30<01:04,  2.24it/s]
Loading 0:  61%|██████    | 220/363 [01:31<00:47,  2.99it/s]
Loading 0:  61%|██████    | 221/363 [01:31<00:45,  3.11it/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,  1.92it/s]
Loading 0:  63%|██████▎   | 230/363 [01:36<01:23,  1.59it/s]
Loading 0:  64%|██████▍   | 233/363 [01:36<00:49,  2.62it/s]
Loading 0:  64%|██████▍   | 234/363 [01:37<00:46,  2.77it/s]
Loading 0:  65%|██████▍   | 235/363 [01:37<00:39,  3.20it/s]
Loading 0:  65%|██████▌   | 237/363 [01:37<00:32,  3.87it/s]
Loading 0:  66%|██████▌   | 238/363 [01:37<00:32,  3.83it/s]
Loading 0:  66%|██████▌   | 239/363 [01:37<00:28,  4.33it/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,  1.66it/s]
Loading 0:  68%|██████▊   | 246/363 [01:41<00:53,  2.19it/s]
Loading 0:  68%|██████▊   | 247/363 [01:42<01:03,  1.82it/s]
Loading 0:  68%|██████▊   | 248/363 [01:43<01:14,  1.54it/s]
Loading 0:  69%|██████▉   | 251/363 [01:44<00:43,  2.56it/s]
Loading 0:  69%|██████▉   | 252/363 [01:44<00:40,  2.72it/s]
Loading 0:  70%|██████▉   | 253/363 [01:44<00:35,  3.14it/s]
Loading 0:  70%|███████   | 255/363 [01:45<00:42,  2.56it/s]
Loading 0:  71%|███████   | 256/363 [01:46<00:54,  1.97it/s]
Loading 0:  71%|███████   | 257/363 [01:47<01:06,  1.60it/s]
Loading 0:  72%|███████▏  | 260/363 [01:47<00:37,  2.71it/s]
Loading 0:  72%|███████▏  | 261/363 [01:48<00:35,  2.86it/s]
Loading 0:  72%|███████▏  | 262/363 [01:48<00:30,  3.31it/s]
Loading 0:  72%|███████▏  | 263/363 [01:49<00:45,  2.22it/s]
Loading 0:  73%|███████▎  | 264/363 [01:50<00:58,  1.69it/s]
Loading 0:  73%|███████▎  | 266/363 [01:50<00:40,  2.42it/s]
Loading 0:  74%|███████▎  | 267/363 [01:50<00:36,  2.62it/s]
Loading 0:  74%|███████▍  | 268/363 [01:50<00:30,  3.11it/s]
Loading 0:  74%|███████▍  | 270/363 [01:51<00:37,  2.48it/s]
Loading 0:  75%|███████▌  | 273/363 [01:52<00:32,  2.77it/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 [01:55<00:30,  2.77it/s]
Loading 0:  77%|███████▋  | 279/363 [01:55<00:29,  2.89it/s]
Loading 0:  77%|███████▋  | 280/363 [01:55<00:25,  3.32it/s]
Loading 0:  77%|███████▋  | 281/363 [01:56<00:36,  2.23it/s]
Loading 0:  78%|███████▊  | 283/363 [01:56<00:26,  2.97it/s]
Loading 0:  78%|███████▊  | 284/363 [01:57<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,  2.67it/s]
Loading 0:  79%|███████▉  | 288/363 [01:59<00:38,  1.93it/s]
Loading 0:  80%|████████  | 291/363 [02:00<00:30,  2.39it/s]
Loading 0:  80%|████████  | 292/363 [02:01<00:36,  1.92it/s]
Loading 0:  81%|████████  | 293/363 [02:02<00:43,  1.60it/s]
Loading 0:  82%|████████▏ | 296/363 [02:02<00:25,  2.63it/s]
Loading 0:  82%|████████▏ | 297/363 [02:02<00:23,  2.78it/s]
Loading 0:  82%|████████▏ | 298/363 [02:02<00:20,  3.20it/s]
Loading 0:  83%|████████▎ | 300/363 [02:03<00:16,  3.88it/s]
Loading 0:  83%|████████▎ | 301/363 [02:03<00:16,  3.84it/s]
Loading 0:  83%|████████▎ | 302/363 [02:03<00:14,  4.35it/s]
Loading 0:  84%|████████▎ | 304/363 [02:04<00:20,  2.94it/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,  1.53it/s]
Loading 0:  87%|████████▋ | 314/363 [02:09<00:19,  2.56it/s]
Loading 0:  87%|████████▋ | 315/363 [02:10<00:17,  2.71it/s]
Loading 0:  87%|████████▋ | 316/363 [02:10<00:15,  3.13it/s]
Loading 0:  88%|████████▊ | 318/363 [02:11<00:17,  2.54it/s]
Loading 0:  88%|████████▊ | 319/363 [02:12<00:22,  1.93it/s]
Loading 0:  88%|████████▊ | 320/363 [02:13<00:27,  1.56it/s]
Loading 0:  89%|████████▉ | 323/363 [02:13<00:15,  2.65it/s]
Loading 0:  89%|████████▉ | 324/363 [02:14<00:14,  2.78it/s]
Loading 0:  90%|████████▉ | 325/363 [02:14<00:11,  3.24it/s]
Loading 0:  90%|████████▉ | 326/363 [02:15<00:17,  2.15it/s]
Loading 0:  90%|█████████ | 327/363 [02:16<00:21,  1.64it/s]
Loading 0:  91%|█████████ | 329/363 [02:16<00:14,  2.34it/s]
Loading 0:  91%|█████████ | 330/363 [02:16<00:12,  2.54it/s]
Loading 0:  91%|█████████ | 331/363 [02:16<00:10,  3.03it/s]
Loading 0:  92%|█████████▏| 333/363 [02:17<00:12,  2.42it/s]
Loading 0:  93%|█████████▎| 336/363 [02:18<00:10,  2.69it/s]
Loading 0:  93%|█████████▎| 337/363 [02:19<00:12,  2.08it/s]
Loading 0:  93%|█████████▎| 338/363 [02:20<00:14,  1.67it/s]
Loading 0:  94%|█████████▍| 341/363 [02:21<00:08,  2.71it/s]
Loading 0:  94%|█████████▍| 342/363 [02:21<00:07,  2.83it/s]
Loading 0:  94%|█████████▍| 343/363 [02:21<00:06,  3.24it/s]
Loading 0:  95%|█████████▍| 344/363 [02:22<00:08,  2.18it/s]
Loading 0:  95%|█████████▌| 346/363 [02:23<00:05,  2.90it/s]
Loading 0:  96%|█████████▌| 347/363 [02:23<00:05,  3.02it/s]
Loading 0:  96%|█████████▌| 348/363 [02:23<00:04,  3.55it/s]
Loading 0:  96%|█████████▌| 349/363 [02:23<00:03,  3.63it/s]
Loading 0:  96%|█████████▋| 350/363 [02:23<00:02,  4.36it/s]
Loading 0:  97%|█████████▋| 351/363 [02:24<00:05,  2.24it/s]
Loading 0:  97%|█████████▋| 352/363 [02:25<00:06,  1.63it/s]
Loading 0:  98%|█████████▊| 355/363 [02:26<00:03,  2.17it/s]
Loading 0:  98%|█████████▊| 356/363 [02:27<00:03,  1.77it/s]
Loading 0:  98%|█████████▊| 357/363 [02:28<00:04,  1.48it/s]
Loading 0:  99%|█████████▉| 360/363 [02:29<00:01,  2.52it/s]
Loading 0:  99%|█████████▉| 361/363 [02:29<00:00,  2.67it/s]
Loading 0: 100%|█████████▉| 362/363 [02:29<00:00,  3.09it/s]
                                                            
Job junhua024-chai-12-full-06-v6-mkmlizer completed after 262.73s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-v6-mkmlizer
Pipeline stage MKMLizer completed in 263.41s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-06-v6
Waiting for inference service junhua024-chai-12-full-06-v6 to be ready
Failed to get response for submission chaiml-gy-exp236-sft-gy_30367_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-30367-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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-12-full-06-v6 ready after 201.11747312545776s
Pipeline stage MKMLDeployer completed in 201.60s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 4.207031726837158s
Received healthy response to inference request in 2.44781756401062s
Received healthy response to inference request in 1.9431214332580566s
Received healthy response to inference request in 1.4872868061065674s
5 requests
1 failed requests
5th percentile: 1.5784537315368652
10th percentile: 1.669620656967163
20th percentile: 1.8519545078277588
30th percentile: 2.0440606594085695
40th percentile: 2.245939111709595
50th percentile: 2.44781756401062
60th percentile: 3.1515032291412353
70th percentile: 3.8551888942718504
80th percentile: 7.400248908996585
90th percentile: 13.78668327331543
95th percentile: 16.97990045547485
99th percentile: 19.534474201202393
mean time: 6.051675033569336
%s, retrying in %s seconds...
Received healthy response to inference request in 1.695401668548584s
Received healthy response to inference request in 1.4899492263793945s
Received healthy response to inference request in 2.040257215499878s
Received healthy response to inference request in 2.5887670516967773s
Received healthy response to inference request in 1.5089397430419922s
5 requests
0 failed requests
5th percentile: 1.4937473297119142
10th percentile: 1.4975454330444335
20th percentile: 1.5051416397094726
30th percentile: 1.5462321281433105
40th percentile: 1.6208168983459472
50th percentile: 1.695401668548584
60th percentile: 1.8333438873291015
70th percentile: 1.971286106109619
80th percentile: 2.149959182739258
90th percentile: 2.3693631172180174
95th percentile: 2.4790650844573974
99th percentile: 2.5668266582489014
mean time: 1.8646629810333253
Pipeline stage StressChecker completed in 42.70s
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 0.99s
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 0.71s
Shutdown handler de-registered
junhua024-chai-12-full-06_v6 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-06-v6-profiler
Waiting for inference service junhua024-chai-12-full-06-v6-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 3332.68s
Shutdown handler de-registered
junhua024-chai-12-full-06_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06_v6 status is now torndown due to DeploymentManager action