junhua024-chai-06-full-_94784

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_94784_v1
model_name: junhua024-chai-06-full-_94784_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T15:55:49+00:00
num_battles: 6697
num_wins: 3217
celo_rating: 1283.17
family_friendly_score: 0.5492
family_friendly_standard_error: 0.007036751523252757
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1624
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': 0.5975046579352666, 'latency_mean': 1.6734469413757325, 'latency_p50': 1.6729686260223389, 'latency_p90': 1.8430380344390869}, {'batch_size': 3, 'throughput': 1.0631464756054971, 'latency_mean': 2.814194377660751, 'latency_p50': 2.8191312551498413, 'latency_p90': 3.0897281646728514}, {'batch_size': 5, 'throughput': 1.2847852722989712, 'latency_mean': 3.8776213049888613, 'latency_p50': 3.87168025970459, 'latency_p90': 4.360778069496154}, {'batch_size': 6, 'throughput': 1.3390823094077606, 'latency_mean': 4.457803803682327, 'latency_p50': 4.491410851478577, 'latency_p90': 4.9609781265258786}, {'batch_size': 8, 'throughput': 1.4137794714134615, 'latency_mean': 5.628686910867691, 'latency_p50': 5.6361037492752075, 'latency_p90': 6.283572363853454}, {'batch_size': 10, 'throughput': 1.4394727271649321, 'latency_mean': 6.907728897333145, 'latency_p50': 6.890426874160767, 'latency_p90': 7.928994297981262}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_94784_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1624
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-18
win_ratio: 0.4803643422427953
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-06-full-94784-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-94784-v1-mkmlizer to finish
junhua024-chai-06-full-94784-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-94784-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-94784-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-94784-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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`
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-94784-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`
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-94784-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-06-full-94784-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-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`
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-94784-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-06-full-94784-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`
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-94784-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-06-full-94784-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`
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-06-full-94784-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-06-full-94784-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-06-full-94784-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-06-full-94784-v1-mkmlizer: Downloaded to shared memory in 188.677s
junhua024-chai-06-full-94784-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_1624 already exists in ChaiML
junhua024-chai-06-full-94784-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_1624 and uploading /tmp/tmp2wv0uifz to it
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-06-full-94784-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:01<00:35,  1.44s/it]
  8%|▊         | 2/26 [00:02<00:34,  1.42s/it]
 12%|█▏        | 3/26 [00:08<01:22,  3.57s/it]
 15%|█▌        | 4/26 [00:10<01:04,  2.94s/it]
 19%|█▉        | 5/26 [00:13<00:58,  2.79s/it]
 23%|██▎       | 6/26 [00:14<00:46,  2.30s/it]
 27%|██▋       | 7/26 [00:16<00:37,  2.00s/it]
 31%|███       | 8/26 [00:17<00:33,  1.85s/it]
 35%|███▍      | 9/26 [00:23<00:54,  3.22s/it]
 38%|███▊      | 10/26 [00:25<00:41,  2.62s/it]
 42%|████▏     | 11/26 [00:30<00:49,  3.31s/it]
 46%|████▌     | 12/26 [00:31<00:39,  2.84s/it]
 50%|█████     | 13/26 [00:33<00:33,  2.61s/it]
 54%|█████▍    | 14/26 [00:35<00:28,  2.41s/it]
 58%|█████▊    | 15/26 [00:37<00:23,  2.09s/it]
 62%|██████▏   | 16/26 [00:40<00:24,  2.44s/it]
 65%|██████▌   | 17/26 [00:42<00:19,  2.17s/it]
 69%|██████▉   | 18/26 [00:43<00:15,  1.95s/it]
 73%|███████▎  | 19/26 [00:46<00:15,  2.14s/it]
 77%|███████▋  | 20/26 [00:47<00:11,  1.93s/it]
 81%|████████  | 21/26 [00:49<00:09,  1.82s/it]
 85%|████████▍ | 22/26 [00:50<00:07,  1.84s/it]
 88%|████████▊ | 23/26 [00:52<00:04,  1.66s/it]
 92%|█████████▏| 24/26 [00:54<00:03,  1.78s/it]
 96%|█████████▌| 25/26 [00:56<00:01,  1.79s/it]
100%|██████████| 26/26 [00:57<00:00,  1.57s/it]
100%|██████████| 26/26 [00:57<00:00,  2.20s/it]
junhua024-chai-06-full-94784-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2wv0uifz, device:0
junhua024-chai-06-full-94784-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-94784-v1-mkmlizer: quantized model in 31.642s
junhua024-chai-06-full-94784-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_1624 in 304.361s
junhua024-chai-06-full-94784-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-94784-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-94784-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia
junhua024-chai-06-full-94784-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia/config.json
junhua024-chai-06-full-94784-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-94784-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-94784-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia/tokenizer.json
junhua024-chai-06-full-94784-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-94784-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-94784-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:24, 14.76it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:20, 17.15it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 27.75it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 29.55it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 31.54it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:08, 37.88it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:09, 34.62it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:09, 34.38it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:09, 32.12it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:08, 38.97it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:09, 30.99it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:09, 32.82it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:08, 33.60it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:09, 32.64it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:07, 36.39it/s]
Loading 0:  21%|██▏       | 78/363 [00:02<00:07, 37.12it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 32.27it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:08, 34.08it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 34.00it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 33.97it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:07, 33.65it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:08, 31.15it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 39.56it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:08, 29.30it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 30.82it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 32.23it/s]
Loading 0:  36%|███▋      | 132/363 [00:04<00:07, 31.20it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:06, 34.93it/s]
Loading 0:  39%|███▉      | 141/363 [00:04<00:06, 35.77it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:06, 31.32it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 30.34it/s]
Loading 0:  43%|████▎     | 155/363 [00:04<00:05, 36.45it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 33.89it/s]
Loading 0:  45%|████▌     | 164/363 [00:04<00:06, 33.09it/s]
Loading 0:  46%|████▋     | 168/363 [00:05<00:06, 31.63it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:04, 39.33it/s]
Loading 0:  50%|████▉     | 181/363 [00:05<00:05, 33.70it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 32.60it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:05, 34.10it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:05, 33.10it/s]
Loading 0:  55%|█████▌    | 201/363 [00:06<00:04, 33.18it/s]
Loading 0:  57%|█████▋    | 206/363 [00:06<00:04, 32.88it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 33.90it/s]
Loading 0:  61%|██████    | 220/363 [00:06<00:03, 43.14it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:04, 33.88it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:03, 33.66it/s]
Loading 0:  65%|██████▌   | 237/363 [00:07<00:03, 40.58it/s]
Loading 0:  67%|██████▋   | 242/363 [00:07<00:03, 35.95it/s]
Loading 0:  68%|██████▊   | 247/363 [00:07<00:03, 36.67it/s]
Loading 0:  70%|██████▉   | 253/363 [00:07<00:02, 37.43it/s]
Loading 0:  71%|███████   | 257/363 [00:07<00:03, 31.21it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 34.56it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 33.88it/s]
Loading 0:  76%|███████▌  | 275/363 [00:08<00:02, 34.60it/s]
Loading 0:  77%|███████▋  | 281/363 [00:08<00:02, 39.59it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 38.08it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:01, 37.43it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:01, 34.70it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 41.32it/s]
Loading 0:  85%|████████▍ | 307/363 [00:08<00:01, 35.19it/s]
Loading 0:  86%|████████▌ | 311/363 [00:09<00:01, 34.04it/s]
Loading 0:  87%|████████▋ | 317/363 [00:09<00:01, 36.15it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 34.79it/s]
Loading 0:  90%|█████████ | 327/363 [00:09<00:01, 33.89it/s]
Loading 0:  91%|█████████▏| 332/363 [00:09<00:00, 33.46it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 34.45it/s]
Loading 0:  95%|█████████▌| 346/363 [00:10<00:00, 44.01it/s]
Loading 0:  97%|█████████▋| 351/363 [00:10<00:00, 25.20it/s]
Loading 0:  98%|█████████▊| 355/363 [00:10<00:00, 27.41it/s]
Loading 0:  99%|█████████▉| 359/363 [00:10<00:00, 28.91it/s]
                                                            
Job junhua024-chai-06-full-94784-v1-mkmlizer completed after 329.47s with status: succeeded
Stopping job with name junhua024-chai-06-full-94784-v1-mkmlizer
Pipeline stage MKMLizer completed in 329.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.52s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-94784-v1
Waiting for inference service junhua024-chai-06-full-94784-v1 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-isaac-brown-sylu_53639_v2: HTTPConnectionPool(host='chaiml-isaac-brown-sylu-53639-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-06-full-94784-v1 ready after 332.4520673751831s
Pipeline stage MKMLDeployer completed in 333.32s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.814368486404419s
Received healthy response to inference request in 1.5876483917236328s
Received healthy response to inference request in 2.1287224292755127s
Received healthy response to inference request in 2.00763201713562s
Received healthy response to inference request in 1.9453456401824951s
5 requests
0 failed requests
5th percentile: 1.6591878414154053
10th percentile: 1.7307272911071778
20th percentile: 1.8738061904907226
30th percentile: 1.95780291557312
40th percentile: 1.98271746635437
50th percentile: 2.00763201713562
60th percentile: 2.056068181991577
70th percentile: 2.104504346847534
80th percentile: 2.2658516407012943
90th percentile: 2.5401100635528566
95th percentile: 2.6772392749786373
99th percentile: 2.7869426441192626
mean time: 2.0967433929443358
Pipeline stage StressChecker completed in 13.11s
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 0.73s
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 1.11s
Shutdown handler de-registered
junhua024-chai-06-full-_94784_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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-94784-v1-profiler
Waiting for inference service junhua024-chai-06-full-94784-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 3306.03s
Shutdown handler de-registered
junhua024-chai-06-full-_94784_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_94784_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_94784_v1 status is now torndown due to DeploymentManager action