junhua024-chai-02-full-_27265

developer_uid: junhua024
submission_id: junhua024-chai-02-full-_27265_v1
model_name: junhua024-chai-02-full-_27265_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T12:54:51+00:00
num_battles: 6215
num_wins: 3083
celo_rating: 1282.07
family_friendly_score: 0.38739999999999997
family_friendly_standard_error: 0.006889430165115254
submission_type: basic
model_repo: junhua024/chai_02_full_02_0193
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': 0.6668235448522055, 'latency_mean': 1.4995309472084046, 'latency_p50': 1.4994595050811768, 'latency_p90': 1.6565114974975585}, {'batch_size': 3, 'throughput': 1.14087453693259, 'latency_mean': 2.616010208129883, 'latency_p50': 2.620929479598999, 'latency_p90': 2.9112442255020143}, {'batch_size': 5, 'throughput': 1.322173766153468, 'latency_mean': 3.7658156657218935, 'latency_p50': 3.7793139219284058, 'latency_p90': 4.192748975753784}, {'batch_size': 6, 'throughput': 1.403102721044551, 'latency_mean': 4.24893444776535, 'latency_p50': 4.274694800376892, 'latency_p90': 4.715438961982727}, {'batch_size': 8, 'throughput': 1.4490982926843017, 'latency_mean': 5.490785225629806, 'latency_p50': 5.5389546155929565, 'latency_p90': 6.195846533775329}, {'batch_size': 10, 'throughput': 1.4819059423433567, 'latency_mean': 6.694945968389511, 'latency_p50': 6.6944921016693115, 'latency_p90': 7.652094411849975}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_27265_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_0193
model_size: 13B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-07-24
win_ratio: 0.4960579243765085
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\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-27265-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-27265-v1-mkmlizer to finish
junhua024-chai-02-full-27265-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-27265-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-27265-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-27265-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-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-27265-v1-mkmlizer: Downloaded to shared memory in 124.996s
junhua024-chai-02-full-27265-v1-mkmlizer: Checking if junhua024/chai_02_full_02_0193 already exists in ChaiML
junhua024-chai-02-full-27265-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_0193 and uploading /tmp/tmptmhgkn6b to it
junhua024-chai-02-full-27265-v1-mkmlizer: 
  0%|          | 0/26 [00:00<?, ?it/s]
  4%|▍         | 1/26 [00:01<00:42,  1.68s/it]
  8%|▊         | 2/26 [00:02<00:34,  1.45s/it]
 12%|█▏        | 3/26 [00:04<00:31,  1.37s/it]
 15%|█▌        | 4/26 [00:07<00:47,  2.16s/it]
 19%|█▉        | 5/26 [00:09<00:45,  2.17s/it]
 23%|██▎       | 6/26 [00:11<00:40,  2.03s/it]
 27%|██▋       | 7/26 [00:12<00:34,  1.82s/it]
 31%|███       | 8/26 [00:14<00:32,  1.82s/it]
 35%|███▍      | 9/26 [00:17<00:33,  1.95s/it]
 38%|███▊      | 10/26 [00:18<00:29,  1.83s/it]
 42%|████▏     | 11/26 [00:20<00:27,  1.81s/it]
 46%|████▌     | 12/26 [00:21<00:24,  1.76s/it]
 50%|█████     | 13/26 [00:23<00:21,  1.63s/it]
 54%|█████▍    | 14/26 [00:25<00:21,  1.76s/it]
 58%|█████▊    | 15/26 [00:26<00:18,  1.64s/it]
 62%|██████▏   | 16/26 [00:28<00:16,  1.66s/it]
 65%|██████▌   | 17/26 [00:30<00:14,  1.65s/it]
 69%|██████▉   | 18/26 [00:31<00:13,  1.64s/it]
 73%|███████▎  | 19/26 [00:33<00:11,  1.60s/it]
 77%|███████▋  | 20/26 [00:34<00:09,  1.64s/it]
 81%|████████  | 21/26 [00:36<00:08,  1.66s/it]
 85%|████████▍ | 22/26 [00:41<00:10,  2.59s/it]
 88%|████████▊ | 23/26 [00:42<00:06,  2.26s/it]
 92%|█████████▏| 24/26 [00:44<00:04,  2.03s/it]
 96%|█████████▌| 25/26 [00:46<00:02,  2.07s/it]
100%|██████████| 26/26 [00:47<00:00,  1.86s/it]
100%|██████████| 26/26 [00:47<00:00,  1.84s/it]
junhua024-chai-02-full-27265-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmptmhgkn6b, device:0
junhua024-chai-02-full-27265-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-27265-v1-mkmlizer: quantized model in 164.245s
junhua024-chai-02-full-27265-v1-mkmlizer: Processed model junhua024/chai_02_full_02_0193 in 363.059s
junhua024-chai-02-full-27265-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-27265-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-27265-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-27265-v1/nvidia
junhua024-chai-02-full-27265-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-27265-v1/nvidia/config.json
junhua024-chai-02-full-27265-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-27265-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-27265-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-27265-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-27265-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:22, 16.31it/s]
Loading 0:   1%|          | 4/363 [00:02<03:36,  1.66it/s]
Loading 0:   1%|▏         | 5/363 [00:03<04:25,  1.35it/s]
Loading 0:   2%|▏         | 8/363 [00:03<02:20,  2.53it/s]
Loading 0:   2%|▏         | 9/363 [00:03<02:14,  2.63it/s]
Loading 0:   3%|▎         | 10/363 [00:04<01:56,  3.04it/s]
Loading 0:   3%|▎         | 11/363 [00:04<02:51,  2.06it/s]
Loading 0:   3%|▎         | 12/363 [00:05<03:40,  1.59it/s]
Loading 0:   4%|▍         | 14/363 [00:06<02:30,  2.31it/s]
Loading 0:   4%|▍         | 15/363 [00:06<02:17,  2.53it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:54,  3.02it/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,  1.69it/s]
Loading 0:   7%|▋         | 26/363 [00:11<02:04,  2.71it/s]
Loading 0:   7%|▋         | 27/363 [00:11<01:58,  2.84it/s]
Loading 0:   8%|▊         | 28/363 [00:11<01:43,  3.23it/s]
Loading 0:   8%|▊         | 29/363 [00:12<02:33,  2.18it/s]
Loading 0:   9%|▊         | 31/363 [00:12<01:54,  2.89it/s]
Loading 0:   9%|▉         | 32/363 [00:13<01:49,  3.01it/s]
Loading 0:   9%|▉         | 33/363 [00:13<01:34,  3.49it/s]
Loading 0:  10%|▉         | 35/363 [00:14<02:05,  2.61it/s]
Loading 0:  10%|▉         | 36/363 [00:15<02:53,  1.89it/s]
Loading 0:  11%|█         | 39/363 [00:16<02:18,  2.34it/s]
Loading 0:  11%|█         | 40/363 [00:17<02:50,  1.90it/s]
Loading 0:  11%|█▏        | 41/363 [00:18<03:25,  1.57it/s]
Loading 0:  12%|█▏        | 44/363 [00:18<02:03,  2.57it/s]
Loading 0:  12%|█▏        | 45/363 [00:18<01:56,  2.72it/s]
Loading 0:  13%|█▎        | 46/363 [00:19<01:41,  3.13it/s]
Loading 0:  13%|█▎        | 48/363 [00:19<01:22,  3.80it/s]
Loading 0:  13%|█▎        | 49/363 [00:19<01:22,  3.82it/s]
Loading 0:  14%|█▍        | 50/363 [00:19<01:12,  4.31it/s]
Loading 0:  14%|█▍        | 52/363 [00:20<01:47,  2.89it/s]
Loading 0:  15%|█▍        | 53/363 [00:21<02:30,  2.07it/s]
Loading 0:  15%|█▍        | 54/363 [00:22<03:10,  1.62it/s]
Loading 0:  16%|█▌        | 57/363 [00:23<02:23,  2.13it/s]
Loading 0:  16%|█▌        | 58/363 [00:24<02:52,  1.77it/s]
Loading 0:  16%|█▋        | 59/363 [00:25<03:23,  1.50it/s]
Loading 0:  17%|█▋        | 62/363 [00:26<02:00,  2.50it/s]
Loading 0:  17%|█▋        | 63/363 [00:26<01:53,  2.65it/s]
Loading 0:  18%|█▊        | 64/363 [00:26<01:37,  3.06it/s]
Loading 0:  18%|█▊        | 66/363 [00:27<01:59,  2.50it/s]
Loading 0:  18%|█▊        | 67/363 [00:28<02:33,  1.93it/s]
Loading 0:  19%|█▊        | 68/363 [00:29<03:08,  1.57it/s]
Loading 0:  20%|█▉        | 71/363 [00:29<01:49,  2.66it/s]
Loading 0:  20%|█▉        | 72/363 [00:30<01:44,  2.79it/s]
Loading 0:  20%|██        | 73/363 [00:30<01:29,  3.23it/s]
Loading 0:  20%|██        | 74/363 [00:31<02:14,  2.16it/s]
Loading 0:  21%|██        | 75/363 [00:32<02:55,  1.64it/s]
Loading 0:  21%|██        | 77/363 [00:32<02:01,  2.35it/s]
Loading 0:  21%|██▏       | 78/363 [00:32<01:51,  2.55it/s]
Loading 0:  22%|██▏       | 79/363 [00:33<01:33,  3.04it/s]
Loading 0:  22%|██▏       | 80/363 [00:34<02:25,  1.94it/s]
Loading 0:  23%|██▎       | 82/363 [00:34<01:43,  2.72it/s]
Loading 0:  23%|██▎       | 83/363 [00:34<01:37,  2.88it/s]
Loading 0:  23%|██▎       | 84/363 [00:34<01:22,  3.39it/s]
Loading 0:  24%|██▎       | 86/363 [00:35<01:43,  2.67it/s]
Loading 0:  25%|██▍       | 89/363 [00:36<01:36,  2.85it/s]
Loading 0:  25%|██▍       | 90/363 [00:37<02:06,  2.16it/s]
Loading 0:  25%|██▌       | 91/363 [00:38<02:39,  1.71it/s]
Loading 0:  26%|██▌       | 94/363 [00:39<01:37,  2.75it/s]
Loading 0:  26%|██▌       | 95/363 [00:39<01:33,  2.88it/s]
Loading 0:  26%|██▋       | 96/363 [00:39<01:21,  3.29it/s]
Loading 0:  27%|██▋       | 98/363 [00:40<01:42,  2.60it/s]
Loading 0:  27%|██▋       | 99/363 [00:41<02:18,  1.91it/s]
Loading 0:  28%|██▊       | 102/363 [00:42<01:52,  2.33it/s]
Loading 0:  28%|██▊       | 103/363 [00:43<02:17,  1.90it/s]
Loading 0:  29%|██▊       | 104/363 [00:44<02:44,  1.58it/s]
Loading 0:  29%|██▉       | 107/363 [00:45<01:39,  2.57it/s]
Loading 0:  30%|██▉       | 108/363 [00:45<01:33,  2.71it/s]
Loading 0:  30%|███       | 109/363 [00:45<01:21,  3.12it/s]
Loading 0:  31%|███       | 111/363 [00:45<01:06,  3.77it/s]
Loading 0:  31%|███       | 112/363 [00:46<01:07,  3.73it/s]
Loading 0:  31%|███       | 113/363 [00:46<00:59,  4.19it/s]
Loading 0:  32%|███▏      | 115/363 [00:47<01:27,  2.85it/s]
Loading 0:  32%|███▏      | 116/363 [00:48<02:00,  2.06it/s]
Loading 0:  32%|███▏      | 117/363 [00:49<02:32,  1.61it/s]
Loading 0:  33%|███▎      | 120/363 [00:50<01:53,  2.13it/s]
Loading 0:  33%|███▎      | 121/363 [00:51<02:16,  1.77it/s]
Loading 0:  34%|███▎      | 122/363 [00:52<02:40,  1.50it/s]
Loading 0:  34%|███▍      | 125/363 [00:52<01:35,  2.50it/s]
Loading 0:  35%|███▍      | 126/363 [00:52<01:29,  2.65it/s]
Loading 0:  35%|███▍      | 127/363 [00:52<01:17,  3.05it/s]
Loading 0:  36%|███▌      | 129/363 [00:54<01:33,  2.49it/s]
Loading 0:  36%|███▌      | 130/363 [00:55<02:00,  1.93it/s]
Loading 0:  36%|███▌      | 131/363 [00:56<02:28,  1.57it/s]
Loading 0:  37%|███▋      | 134/363 [00:56<01:26,  2.66it/s]
Loading 0:  37%|███▋      | 135/363 [00:56<01:21,  2.80it/s]
Loading 0:  37%|███▋      | 136/363 [00:56<01:10,  3.23it/s]
Loading 0:  38%|███▊      | 137/363 [00:57<01:44,  2.16it/s]
Loading 0:  38%|███▊      | 138/363 [00:58<02:17,  1.64it/s]
Loading 0:  39%|███▊      | 140/363 [00:59<01:35,  2.34it/s]
Loading 0:  39%|███▉      | 141/363 [00:59<01:27,  2.55it/s]
Loading 0:  39%|███▉      | 142/363 [00:59<01:13,  3.03it/s]
Loading 0:  40%|███▉      | 144/363 [01:00<01:30,  2.43it/s]
Loading 0:  40%|████      | 147/363 [01:01<01:20,  2.70it/s]
Loading 0:  41%|████      | 148/363 [01:02<01:42,  2.09it/s]
Loading 0:  41%|████      | 149/363 [01:03<02:08,  1.67it/s]
Loading 0:  42%|████▏     | 152/363 [01:03<01:18,  2.69it/s]
Loading 0:  42%|████▏     | 153/363 [01:04<01:14,  2.82it/s]
Loading 0:  42%|████▏     | 154/363 [01:04<01:04,  3.22it/s]
Loading 0:  43%|████▎     | 155/363 [01:05<01:35,  2.18it/s]
Loading 0:  43%|████▎     | 157/363 [01:05<01:11,  2.88it/s]
Loading 0:  44%|████▎     | 158/363 [01:05<01:08,  3.00it/s]
Loading 0:  44%|████▍     | 159/363 [01:06<00:58,  3.48it/s]
Loading 0:  44%|████▍     | 161/363 [01:07<01:18,  2.57it/s]
Loading 0:  45%|████▍     | 162/363 [01:08<01:47,  1.86it/s]
Loading 0:  45%|████▌     | 165/363 [01:09<01:25,  2.32it/s]
Loading 0:  46%|████▌     | 166/363 [01:10<01:45,  1.87it/s]
Loading 0:  46%|████▌     | 167/363 [01:11<02:05,  1.56it/s]
Loading 0:  47%|████▋     | 170/363 [01:11<01:15,  2.56it/s]
Loading 0:  47%|████▋     | 171/363 [01:11<01:10,  2.71it/s]
Loading 0:  47%|████▋     | 172/363 [01:11<01:01,  3.12it/s]
Loading 0:  48%|████▊     | 174/363 [01:12<00:50,  3.77it/s]
Loading 0:  48%|████▊     | 175/363 [01:12<00:50,  3.73it/s]
Loading 0:  48%|████▊     | 176/363 [01:12<00:44,  4.18it/s]
Loading 0:  49%|████▉     | 178/363 [01:13<01:05,  2.84it/s]
Loading 0:  49%|████▉     | 179/363 [01:14<01:29,  2.06it/s]
Loading 0:  50%|████▉     | 180/363 [01:15<01:52,  1.62it/s]
Loading 0:  50%|█████     | 183/363 [01:16<01:23,  2.15it/s]
Loading 0:  51%|█████     | 184/363 [01:17<01:40,  1.78it/s]
Loading 0:  51%|█████     | 185/363 [01:18<01:58,  1.50it/s]
Loading 0:  52%|█████▏    | 188/363 [01:19<01:09,  2.51it/s]
Loading 0:  52%|█████▏    | 189/363 [01:19<01:05,  2.66it/s]
Loading 0:  52%|█████▏    | 190/363 [01:19<00:56,  3.07it/s]
Loading 0:  53%|█████▎    | 192/363 [01:20<01:07,  2.52it/s]
Loading 0:  53%|█████▎    | 193/363 [01:21<01:27,  1.94it/s]
Loading 0:  53%|█████▎    | 194/363 [01:22<01:47,  1.58it/s]
Loading 0:  54%|█████▍    | 197/363 [01:22<01:02,  2.67it/s]
Loading 0:  55%|█████▍    | 198/363 [01:23<00:58,  2.81it/s]
Loading 0:  55%|█████▍    | 199/363 [01:23<00:50,  3.23it/s]
Loading 0:  55%|█████▌    | 200/363 [01:24<01:15,  2.16it/s]
Loading 0:  55%|█████▌    | 201/363 [01:25<01:38,  1.64it/s]
Loading 0:  56%|█████▌    | 203/363 [01:25<01:08,  2.35it/s]
Loading 0:  56%|█████▌    | 204/363 [01:25<01:02,  2.55it/s]
Loading 0:  56%|█████▋    | 205/363 [01:26<00:52,  3.02it/s]
Loading 0:  57%|█████▋    | 207/363 [01:27<01:04,  2.43it/s]
Loading 0:  58%|█████▊    | 210/363 [01:28<00:56,  2.70it/s]
Loading 0:  58%|█████▊    | 211/363 [01:29<01:12,  2.08it/s]
Loading 0:  58%|█████▊    | 212/363 [01:30<01:30,  1.68it/s]
Loading 0:  59%|█████▉    | 215/363 [01:30<00:54,  2.70it/s]
Loading 0:  60%|█████▉    | 216/363 [01:30<00:51,  2.83it/s]
Loading 0:  60%|█████▉    | 217/363 [01:30<00:45,  3.23it/s]
Loading 0:  60%|██████    | 218/363 [01:31<01:06,  2.18it/s]
Loading 0:  61%|██████    | 220/363 [01:32<00:49,  2.90it/s]
Loading 0:  61%|██████    | 221/363 [01:32<00:46,  3.03it/s]
Loading 0:  61%|██████    | 222/363 [01:32<00:40,  3.51it/s]
Loading 0:  62%|██████▏   | 224/363 [01:33<00:52,  2.64it/s]
Loading 0:  62%|██████▏   | 225/363 [01:34<01:12,  1.90it/s]
Loading 0:  63%|██████▎   | 228/363 [01:35<00:57,  2.35it/s]
Loading 0:  63%|██████▎   | 229/363 [01:36<01:10,  1.89it/s]
Loading 0:  63%|██████▎   | 230/363 [01:37<01:25,  1.56it/s]
Loading 0:  64%|██████▍   | 233/363 [01:37<00:50,  2.58it/s]
Loading 0:  64%|██████▍   | 234/363 [01:38<00:47,  2.72it/s]
Loading 0:  65%|██████▍   | 235/363 [01:38<00:41,  3.11it/s]
Loading 0:  65%|██████▌   | 237/363 [01:38<00:33,  3.77it/s]
Loading 0:  66%|██████▌   | 238/363 [01:38<00:33,  3.72it/s]
Loading 0:  66%|██████▌   | 239/363 [01:39<00:29,  4.18it/s]
Loading 0:  66%|██████▋   | 241/363 [01:40<00:42,  2.86it/s]
Loading 0:  67%|██████▋   | 242/363 [01:41<00:58,  2.07it/s]
Loading 0:  67%|██████▋   | 243/363 [01:42<01:13,  1.63it/s]
Loading 0:  68%|██████▊   | 246/363 [01:43<00:54,  2.15it/s]
Loading 0:  68%|██████▊   | 247/363 [01:44<01:04,  1.79it/s]
Loading 0:  68%|██████▊   | 248/363 [01:45<01:16,  1.51it/s]
Loading 0:  69%|██████▉   | 251/363 [01:45<00:44,  2.51it/s]
Loading 0:  69%|██████▉   | 252/363 [01:45<00:41,  2.66it/s]
Loading 0:  70%|██████▉   | 253/363 [01:45<00:35,  3.08it/s]
Loading 0:  70%|███████   | 255/363 [01:46<00:42,  2.52it/s]
Loading 0:  71%|███████   | 256/363 [01:47<00:55,  1.94it/s]
Loading 0:  71%|███████   | 257/363 [01:48<01:07,  1.58it/s]
Loading 0:  72%|███████▏  | 260/363 [01:49<00:38,  2.67it/s]
Loading 0:  72%|███████▏  | 261/363 [01:49<00:36,  2.81it/s]
Loading 0:  72%|███████▏  | 262/363 [01:49<00:31,  3.24it/s]
Loading 0:  72%|███████▏  | 263/363 [01:50<00:46,  2.17it/s]
Loading 0:  73%|███████▎  | 264/363 [01:51<00:59,  1.66it/s]
Loading 0:  73%|███████▎  | 266/363 [01:51<00:40,  2.37it/s]
Loading 0:  74%|███████▎  | 267/363 [01:52<00:37,  2.57it/s]
Loading 0:  74%|███████▍  | 268/363 [01:52<00:30,  3.06it/s]
Loading 0:  74%|███████▍  | 270/363 [01:53<00:37,  2.47it/s]
Loading 0:  75%|███████▌  | 273/363 [01:54<00:32,  2.74it/s]
Loading 0:  75%|███████▌  | 274/363 [01:55<00:42,  2.11it/s]
Loading 0:  76%|███████▌  | 275/363 [01:56<00:51,  1.70it/s]
Loading 0:  77%|███████▋  | 278/363 [01:56<00:31,  2.74it/s]
Loading 0:  77%|███████▋  | 279/363 [01:56<00:29,  2.87it/s]
Loading 0:  77%|███████▋  | 280/363 [01:57<00:25,  3.28it/s]
Loading 0:  77%|███████▋  | 281/363 [01:58<00:37,  2.20it/s]
Loading 0:  78%|███████▊  | 283/363 [01:58<00:27,  2.93it/s]
Loading 0:  78%|███████▊  | 284/363 [01:58<00:25,  3.06it/s]
Loading 0:  79%|███████▊  | 285/363 [01:58<00:22,  3.54it/s]
Loading 0:  79%|███████▉  | 287/363 [01:59<00:28,  2.64it/s]
Loading 0:  79%|███████▉  | 288/363 [02:00<00:39,  1.90it/s]
Loading 0:  80%|████████  | 291/363 [02:01<00:30,  2.35it/s]
Loading 0:  80%|████████  | 292/363 [02:02<00:37,  1.89it/s]
Loading 0:  81%|████████  | 293/363 [02:03<00:44,  1.57it/s]
Loading 0:  82%|████████▏ | 296/363 [02:04<00:25,  2.59it/s]
Loading 0:  82%|████████▏ | 297/363 [02:04<00:24,  2.71it/s]
Loading 0:  82%|████████▏ | 298/363 [02:04<00:20,  3.11it/s]
Loading 0:  83%|████████▎ | 300/363 [02:04<00:16,  3.76it/s]
Loading 0:  83%|████████▎ | 301/363 [02:05<00:16,  3.73it/s]
Loading 0:  83%|████████▎ | 302/363 [02:05<00:14,  4.23it/s]
Loading 0:  84%|████████▎ | 304/363 [02:06<00:20,  2.88it/s]
Loading 0:  84%|████████▍ | 305/363 [02:07<00:27,  2.08it/s]
Loading 0:  84%|████████▍ | 306/363 [02:08<00:34,  1.63it/s]
Loading 0:  85%|████████▌ | 309/363 [02:09<00:25,  2.16it/s]
Loading 0:  85%|████████▌ | 310/363 [02:10<00:29,  1.78it/s]
Loading 0:  86%|████████▌ | 311/363 [02:11<00:34,  1.50it/s]
Loading 0:  87%|████████▋ | 314/363 [02:11<00:19,  2.50it/s]
Loading 0:  87%|████████▋ | 315/363 [02:11<00:18,  2.65it/s]
Loading 0:  87%|████████▋ | 316/363 [02:12<00:15,  3.05it/s]
Loading 0:  88%|████████▊ | 318/363 [02:13<00:17,  2.52it/s]
Loading 0:  88%|████████▊ | 319/363 [02:14<00:22,  1.94it/s]
Loading 0:  88%|████████▊ | 320/363 [02:15<00:27,  1.57it/s]
Loading 0:  89%|████████▉ | 323/363 [02:15<00:15,  2.66it/s]
Loading 0:  89%|████████▉ | 324/363 [02:15<00:13,  2.80it/s]
Loading 0:  90%|████████▉ | 325/363 [02:15<00:11,  3.23it/s]
Loading 0:  90%|████████▉ | 326/363 [02:16<00:17,  2.16it/s]
Loading 0:  90%|█████████ | 327/363 [02:17<00:21,  1.65it/s]
Loading 0:  91%|█████████ | 329/363 [02:18<00:14,  2.36it/s]
Loading 0:  91%|█████████ | 330/363 [02:18<00:12,  2.57it/s]
Loading 0:  91%|█████████ | 331/363 [02:18<00:10,  3.03it/s]
Loading 0:  92%|█████████▏| 333/363 [02:19<00:12,  2.43it/s]
Loading 0:  93%|█████████▎| 336/363 [02:20<00:10,  2.70it/s]
Loading 0:  93%|█████████▎| 337/363 [02:21<00:12,  2.08it/s]
Loading 0:  93%|█████████▎| 338/363 [02:22<00:14,  1.68it/s]
Loading 0:  94%|█████████▍| 341/363 [02:23<00:08,  2.70it/s]
Loading 0:  94%|█████████▍| 342/363 [02:23<00:07,  2.83it/s]
Loading 0:  94%|█████████▍| 343/363 [02:23<00:06,  3.22it/s]
Loading 0:  95%|█████████▍| 344/363 [02:24<00:08,  2.17it/s]
Loading 0:  95%|█████████▌| 346/363 [02:24<00:05,  2.89it/s]
Loading 0:  96%|█████████▌| 347/363 [02:25<00:05,  3.03it/s]
Loading 0:  96%|█████████▌| 348/363 [02:25<00:04,  3.49it/s]
Loading 0:  96%|█████████▌| 349/363 [02:25<00:03,  3.54it/s]
Loading 0:  97%|█████████▋| 351/363 [02:26<00:04,  2.56it/s]
Loading 0:  97%|█████████▋| 352/363 [02:27<00:05,  1.86it/s]
Loading 0:  98%|█████████▊| 355/363 [02:28<00:03,  2.31it/s]
Loading 0:  98%|█████████▊| 356/363 [02:29<00:03,  1.87it/s]
Loading 0:  98%|█████████▊| 357/363 [02:30<00:03,  1.55it/s]
Loading 0:  99%|█████████▉| 360/363 [02:30<00:01,  2.56it/s]
Loading 0:  99%|█████████▉| 361/363 [02:31<00:00,  2.71it/s]
Loading 0: 100%|█████████▉| 362/363 [02:31<00:00,  3.11it/s]
                                                            
Job junhua024-chai-02-full-27265-v1-mkmlizer completed after 386.55s with status: succeeded
Stopping job with name junhua024-chai-02-full-27265-v1-mkmlizer
Pipeline stage MKMLizer completed in 387.07s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-27265-v1
Waiting for inference service junhua024-chai-02-full-27265-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-27265-v1 ready after 182.27225160598755s
Pipeline stage MKMLDeployer completed in 182.86s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3212897777557373s
Received healthy response to inference request in 1.5985043048858643s
Received healthy response to inference request in 1.6744694709777832s
Received healthy response to inference request in 2.1158809661865234s
Received healthy response to inference request in 2.1494696140289307s
5 requests
0 failed requests
5th percentile: 1.613697338104248
10th percentile: 1.628890371322632
20th percentile: 1.6592764377593994
30th percentile: 1.7627517700195312
40th percentile: 1.9393163681030274
50th percentile: 2.1158809661865234
60th percentile: 2.1293164253234864
70th percentile: 2.1427518844604494
80th percentile: 2.183833646774292
90th percentile: 2.2525617122650146
95th percentile: 2.286925745010376
99th percentile: 2.314416971206665
mean time: 1.9719228267669677
Pipeline stage StressChecker completed in 11.53s
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 1.44s
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-02-full-_27265_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 0.17s
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-02-full-27265-v1-profiler
Waiting for inference service junhua024-chai-02-full-27265-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 3289.83s
Shutdown handler de-registered
junhua024-chai-02-full-_27265_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_27265_v1 status is now torndown due to DeploymentManager action