developer_uid: rirv938
submission_id: chaiml-trainer-bajem-20_11618_v6
model_name: chaiml-trainer-bajem-20_11618_v6
model_group: ChaiML/trainer_bajem_202
status: inactive
timestamp: 2025-03-30T02:52:33+00:00
num_battles: 14128
num_wins: 6897
celo_rating: 1274.48
family_friendly_score: 0.531
family_friendly_standard_error: 0.00705746413380897
submission_type: basic
model_repo: ChaiML/trainer_bajem_2025-03-06-checkpoint-10
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: chaiml-trainer-bajem-20_11618_v6
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/trainer_bajem_2025-03-06-checkpoint-10
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-29
win_ratio: 0.48817950169875424
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': 256, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', '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 chaiml-trainer-bajem-20-11618-v6-mkmlizer
Waiting for job on chaiml-trainer-bajem-20-11618-v6-mkmlizer to finish
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║     _____            __           __                                ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║       /___/                                                         ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║                                                                     ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║                                                                     ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  belonging to:                                                      ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║                                                                     ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ║                                                                     ║
chaiml-trainer-bajem-20-11618-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-trainer-bajem-20-11618-v6-mkmlizer: Downloaded to shared memory in 19.888s
chaiml-trainer-bajem-20-11618-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpif_frvp_, device:0
chaiml-trainer-bajem-20-11618-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-trainer-bajem-20-11618-v6-mkmlizer: quantized model in 84.034s
chaiml-trainer-bajem-20-11618-v6-mkmlizer: Processed model ChaiML/trainer_bajem_2025-03-06-checkpoint-10 in 103.922s
chaiml-trainer-bajem-20-11618-v6-mkmlizer: creating bucket guanaco-mkml-models
chaiml-trainer-bajem-20-11618-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-trainer-bajem-20-11618-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6
chaiml-trainer-bajem-20-11618-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6/config.json
chaiml-trainer-bajem-20-11618-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6/special_tokens_map.json
chaiml-trainer-bajem-20-11618-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6/tokenizer_config.json
chaiml-trainer-bajem-20-11618-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6/tokenizer.json
chaiml-trainer-bajem-20-11618-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-trainer-bajem-20-11618-v6/flywheel_model.0.safetensors
chaiml-trainer-bajem-20-11618-v6-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/291 [00:00<00:55,  5.19it/s]
Loading 0:   1%|▏         | 4/291 [00:01<01:30,  3.18it/s]
Loading 0:   2%|▏         | 5/291 [00:01<02:00,  2.37it/s]
Loading 0:   3%|▎         | 8/291 [00:02<01:02,  4.52it/s]
Loading 0:   3%|▎         | 9/291 [00:02<01:01,  4.59it/s]
Loading 0:   3%|▎         | 10/291 [00:02<00:53,  5.25it/s]
Loading 0:   4%|▍         | 12/291 [00:02<01:03,  4.37it/s]
Loading 0:   4%|▍         | 13/291 [00:03<01:24,  3.28it/s]
Loading 0:   5%|▍         | 14/291 [00:04<01:46,  2.61it/s]
Loading 0:   6%|▌         | 17/291 [00:04<01:01,  4.48it/s]
Loading 0:   6%|▌         | 18/291 [00:04<00:57,  4.71it/s]
Loading 0:   7%|▋         | 19/291 [00:04<00:51,  5.26it/s]
Loading 0:   7%|▋         | 21/291 [00:05<01:01,  4.41it/s]
Loading 0:   8%|▊         | 22/291 [00:05<01:20,  3.33it/s]
Loading 0:   8%|▊         | 23/291 [00:06<01:42,  2.61it/s]
Loading 0:   9%|▉         | 26/291 [00:06<00:59,  4.45it/s]
Loading 0:   9%|▉         | 27/291 [00:06<00:56,  4.69it/s]
Loading 0:  10%|█         | 30/291 [00:07<00:56,  4.59it/s]
Loading 0:  11%|█         | 31/291 [00:07<01:12,  3.57it/s]
Loading 0:  11%|█         | 32/291 [00:08<01:32,  2.81it/s]
Loading 0:  12%|█▏        | 35/291 [00:08<00:56,  4.51it/s]
Loading 0:  12%|█▏        | 36/291 [00:09<00:53,  4.73it/s]
Loading 0:  13%|█▎        | 39/291 [00:09<00:54,  4.62it/s]
Loading 0:  14%|█▎        | 40/291 [00:10<01:09,  3.60it/s]
Loading 0:  14%|█▍        | 41/291 [00:10<01:27,  2.87it/s]
Loading 0:  15%|█▌        | 44/291 [00:11<00:54,  4.53it/s]
Loading 0:  15%|█▌        | 45/291 [00:11<00:51,  4.75it/s]
Loading 0:  16%|█▌        | 46/291 [00:11<00:46,  5.30it/s]
Loading 0:  16%|█▋        | 48/291 [00:11<00:54,  4.46it/s]
Loading 0:  17%|█▋        | 49/291 [00:12<01:11,  3.38it/s]
Loading 0:  17%|█▋        | 50/291 [00:13<01:31,  2.65it/s]
Loading 0:  18%|█▊        | 53/291 [00:13<00:53,  4.46it/s]
Loading 0:  19%|█▊        | 54/291 [00:13<00:50,  4.70it/s]
Loading 0:  19%|█▉        | 56/291 [00:13<00:36,  6.44it/s]
Loading 0:  20%|█▉        | 58/291 [00:14<01:08,  3.39it/s]
Loading 0:  20%|██        | 59/291 [00:15<01:23,  2.77it/s]
Loading 0:  21%|██▏       | 62/291 [00:15<00:52,  4.37it/s]
Loading 0:  22%|██▏       | 63/291 [00:15<00:49,  4.60it/s]
Loading 0:  23%|██▎       | 66/291 [00:16<00:49,  4.56it/s]
Loading 0:  23%|██▎       | 67/291 [00:17<01:02,  3.59it/s]
Loading 0:  23%|██▎       | 68/291 [00:17<01:18,  2.84it/s]
Loading 0:  24%|██▍       | 71/291 [00:17<00:48,  4.53it/s]
Loading 0:  25%|██▍       | 72/291 [00:18<00:46,  4.75it/s]
Loading 0:  25%|██▌       | 74/291 [00:18<00:33,  6.40it/s]
Loading 0:  26%|██▌       | 76/291 [00:19<01:02,  3.44it/s]
Loading 0:  26%|██▋       | 77/291 [00:19<01:16,  2.81it/s]
Loading 0:  27%|██▋       | 80/291 [00:20<00:48,  4.39it/s]
Loading 0:  28%|██▊       | 81/291 [00:20<00:45,  4.62it/s]
Loading 0:  29%|██▊       | 83/291 [00:20<00:39,  5.23it/s]
Loading 0:  29%|██▉       | 84/291 [00:21<00:54,  3.80it/s]
Loading 0:  29%|██▉       | 85/291 [00:21<01:07,  3.04it/s]
Loading 0:  30%|██▉       | 86/291 [00:22<01:22,  2.49it/s]
Loading 0:  31%|███       | 89/291 [00:22<00:47,  4.28it/s]
Loading 0:  31%|███       | 90/291 [00:22<00:44,  4.55it/s]
Loading 0:  31%|███▏      | 91/291 [00:22<00:38,  5.15it/s]
Loading 0:  32%|███▏      | 93/291 [00:23<00:45,  4.35it/s]
Loading 0:  32%|███▏      | 94/291 [00:23<00:59,  3.31it/s]
Loading 0:  33%|███▎      | 95/291 [00:24<01:14,  2.63it/s]
Loading 0:  34%|███▎      | 98/291 [00:24<00:42,  4.52it/s]
Loading 0:  34%|███▍      | 99/291 [00:24<00:40,  4.75it/s]
Loading 0:  34%|███▍      | 100/291 [00:25<00:35,  5.34it/s]
Loading 0:  35%|███▌      | 102/291 [00:25<00:42,  4.44it/s]
Loading 0:  35%|███▌      | 103/291 [00:26<00:56,  3.34it/s]
Loading 0:  36%|███▌      | 104/291 [00:26<01:11,  2.63it/s]
Loading 0:  37%|███▋      | 107/291 [00:26<00:40,  4.51it/s]
Loading 0:  37%|███▋      | 108/291 [00:27<00:38,  4.76it/s]
Loading 0:  38%|███▊      | 111/291 [00:27<00:38,  4.64it/s]
Loading 0:  38%|███▊      | 112/291 [00:28<00:49,  3.60it/s]
Loading 0:  39%|███▉      | 113/291 [00:29<01:02,  2.85it/s]
Loading 0:  40%|███▉      | 116/291 [00:29<00:38,  4.55it/s]
Loading 0:  40%|████      | 117/291 [00:29<00:36,  4.78it/s]
Loading 0:  41%|████      | 120/291 [00:30<00:36,  4.66it/s]
Loading 0:  42%|████▏     | 121/291 [00:30<00:46,  3.64it/s]
Loading 0:  42%|████▏     | 122/291 [00:31<00:58,  2.90it/s]
Loading 0:  43%|████▎     | 125/291 [00:31<00:36,  4.59it/s]
Loading 0:  43%|████▎     | 126/291 [00:31<00:34,  4.81it/s]
Loading 0:  44%|████▎     | 127/291 [00:31<00:30,  5.33it/s]
Loading 0:  44%|████▍     | 129/291 [00:32<00:36,  4.47it/s]
Loading 0:  45%|████▍     | 130/291 [00:32<00:47,  3.38it/s]
Loading 0:  45%|████▌     | 131/291 [00:33<00:59,  2.68it/s]
Loading 0:  46%|████▌     | 134/291 [00:33<00:34,  4.56it/s]
Loading 0:  46%|████▋     | 135/291 [00:33<00:32,  4.80it/s]
Loading 0:  47%|████▋     | 136/291 [00:33<00:28,  5.40it/s]
Loading 0:  47%|████▋     | 138/291 [00:34<00:34,  4.49it/s]
Loading 0:  48%|████▊     | 139/291 [00:35<00:45,  3.37it/s]
Loading 0:  48%|████▊     | 140/291 [00:35<00:56,  2.65it/s]
Loading 0:  49%|████▉     | 143/291 [00:35<00:32,  4.57it/s]
Loading 0:  49%|████▉     | 144/291 [00:36<00:30,  4.81it/s]
Loading 0:  51%|█████     | 147/291 [00:36<00:30,  4.68it/s]
Loading 0:  51%|█████     | 148/291 [00:37<00:39,  3.63it/s]
Loading 0:  51%|█████     | 149/291 [00:37<00:49,  2.87it/s]
Loading 0:  52%|█████▏    | 152/291 [00:38<00:29,  4.64it/s]
Loading 0:  53%|█████▎    | 153/291 [00:38<00:28,  4.86it/s]
Loading 0:  53%|█████▎    | 154/291 [00:38<00:25,  5.42it/s]
Loading 0:  54%|█████▎    | 156/291 [00:38<00:29,  4.53it/s]
Loading 0:  54%|█████▍    | 157/291 [00:39<00:39,  3.42it/s]
Loading 0:  54%|█████▍    | 158/291 [00:40<00:49,  2.71it/s]
Loading 0:  55%|█████▌    | 161/291 [00:40<00:28,  4.62it/s]
Loading 0:  56%|█████▌    | 162/291 [00:40<00:26,  4.85it/s]
Loading 0:  57%|█████▋    | 165/291 [00:41<00:26,  4.69it/s]
Loading 0:  57%|█████▋    | 166/291 [00:41<00:34,  3.62it/s]
Loading 0:  57%|█████▋    | 167/291 [00:42<00:43,  2.86it/s]
Loading 0:  58%|█████▊    | 170/291 [00:42<00:26,  4.63it/s]
Loading 0:  59%|█████▉    | 171/291 [00:42<00:24,  4.85it/s]
Loading 0:  59%|█████▉    | 173/291 [00:43<00:29,  4.03it/s]
Loading 0:  60%|██████    | 175/291 [00:43<00:22,  5.09it/s]
Loading 0:  60%|██████    | 176/291 [00:43<00:21,  5.26it/s]
Loading 0:  62%|██████▏   | 179/291 [00:44<00:22,  4.91it/s]
Loading 0:  62%|██████▏   | 180/291 [00:44<00:29,  3.75it/s]
Loading 0:  62%|██████▏   | 181/291 [00:45<00:37,  2.96it/s]
Loading 0:  63%|██████▎   | 184/291 [00:45<00:22,  4.75it/s]
Loading 0:  64%|██████▎   | 185/291 [00:45<00:21,  4.96it/s]
Loading 0:  64%|██████▍   | 186/291 [00:46<00:19,  5.52it/s]
Loading 0:  64%|██████▍   | 187/291 [00:46<00:18,  5.54it/s]
Loading 0:  65%|██████▍   | 188/291 [00:46<00:28,  3.65it/s]
Loading 0:  65%|██████▍   | 189/291 [00:47<00:37,  2.75it/s]
Loading 0:  66%|██████▌   | 192/291 [00:47<00:26,  3.68it/s]
Loading 0:  66%|██████▋   | 193/291 [00:48<00:32,  3.02it/s]
Loading 0:  67%|██████▋   | 194/291 [00:49<00:38,  2.52it/s]
Loading 0:  68%|██████▊   | 197/291 [00:49<00:22,  4.23it/s]
Loading 0:  68%|██████▊   | 198/291 [00:49<00:20,  4.50it/s]
Loading 0:  69%|██████▉   | 201/291 [00:50<00:19,  4.50it/s]
Loading 0:  69%|██████▉   | 202/291 [00:50<00:25,  3.55it/s]
Loading 0:  70%|██████▉   | 203/291 [00:51<00:30,  2.86it/s]
Loading 0:  71%|███████   | 206/291 [00:51<00:18,  4.55it/s]
Loading 0:  71%|███████   | 207/291 [00:51<00:17,  4.78it/s]
Loading 0:  71%|███████▏  | 208/291 [00:51<00:15,  5.25it/s]
Loading 0:  72%|███████▏  | 210/291 [00:52<00:18,  4.46it/s]
Loading 0:  73%|███████▎  | 211/291 [00:52<00:23,  3.36it/s]
Loading 0:  73%|███████▎  | 212/291 [00:53<00:29,  2.69it/s]
Loading 0:  74%|███████▍  | 215/291 [00:53<00:16,  4.57it/s]
Loading 0:  74%|███████▍  | 216/291 [00:53<00:15,  4.81it/s]
Loading 0:  75%|███████▍  | 218/291 [00:54<00:11,  6.57it/s]
Loading 0:  76%|███████▌  | 220/291 [00:55<00:20,  3.44it/s]
Loading 0:  76%|███████▌  | 221/291 [00:55<00:25,  2.80it/s]
Loading 0:  77%|███████▋  | 224/291 [00:55<00:15,  4.47it/s]
Loading 0:  77%|███████▋  | 225/291 [00:56<00:14,  4.70it/s]
Loading 0:  78%|███████▊  | 226/291 [00:56<00:12,  5.26it/s]
Loading 0:  78%|███████▊  | 228/291 [00:56<00:14,  4.46it/s]
Loading 0:  79%|███████▊  | 229/291 [00:57<00:18,  3.40it/s]
Loading 0:  79%|███████▉  | 230/291 [00:58<00:22,  2.71it/s]
Loading 0:  80%|████████  | 233/291 [00:58<00:12,  4.54it/s]
Loading 0:  80%|████████  | 234/291 [00:58<00:11,  4.78it/s]
Loading 0:  81%|████████  | 235/291 [00:58<00:10,  5.37it/s]
Loading 0:  81%|████████▏ | 237/291 [00:59<00:12,  4.48it/s]
Loading 0:  82%|████████▏ | 238/291 [00:59<00:15,  3.39it/s]
Loading 0:  82%|████████▏ | 239/291 [01:00<00:19,  2.68it/s]
Loading 0:  83%|████████▎ | 242/291 [01:00<00:10,  4.61it/s]
Loading 0:  84%|████████▎ | 243/291 [01:00<00:09,  4.85it/s]
Loading 0:  84%|████████▍ | 244/291 [01:00<00:08,  5.45it/s]
Loading 0:  85%|████████▍ | 246/291 [01:01<00:09,  4.52it/s]
Loading 0:  85%|████████▍ | 247/291 [01:01<00:12,  3.40it/s]
Loading 0:  85%|████████▌ | 248/291 [01:02<00:15,  2.69it/s]
Loading 0:  86%|████████▋ | 251/291 [01:02<00:08,  4.62it/s]
Loading 0:  87%|████████▋ | 252/291 [01:02<00:08,  4.85it/s]
Loading 0:  87%|████████▋ | 253/291 [01:02<00:07,  5.37it/s]
Loading 0:  88%|████████▊ | 255/291 [01:03<00:08,  4.47it/s]
Loading 0:  88%|████████▊ | 256/291 [01:04<00:10,  3.38it/s]
Loading 0:  88%|████████▊ | 257/291 [01:04<00:12,  2.68it/s]
Loading 0:  89%|████████▉ | 260/291 [01:04<00:06,  4.59it/s]
Loading 0:  90%|████████▉ | 261/291 [01:04<00:06,  4.83it/s]
Loading 0:  91%|█████████ | 264/291 [01:05<00:05,  4.68it/s]
Loading 0:  91%|█████████ | 265/291 [01:06<00:07,  3.64it/s]
Loading 0:  91%|█████████▏| 266/291 [01:06<00:08,  2.90it/s]
Loading 0:  92%|█████████▏| 269/291 [01:07<00:04,  4.69it/s]
Loading 0:  93%|█████████▎| 270/291 [01:07<00:04,  4.90it/s]
Loading 0:  94%|█████████▍| 273/291 [01:07<00:03,  4.73it/s]
Loading 0:  94%|█████████▍| 274/291 [01:08<00:04,  3.68it/s]
Loading 0:  95%|█████████▍| 275/291 [01:09<00:05,  2.91it/s]
Loading 0:  96%|█████████▌| 278/291 [01:09<00:02,  4.62it/s]
Loading 0:  96%|█████████▌| 279/291 [01:09<00:02,  4.84it/s]
Loading 0:  97%|█████████▋| 281/291 [01:10<00:02,  4.02it/s]
Loading 0:  97%|█████████▋| 282/291 [01:10<00:02,  3.10it/s]
Loading 0:  98%|█████████▊| 284/291 [01:10<00:01,  4.12it/s]
Loading 0:  98%|█████████▊| 285/291 [01:11<00:01,  4.42it/s]
Loading 0:  98%|█████████▊| 286/291 [01:11<00:00,  5.03it/s]
Loading 0:  99%|█████████▊| 287/291 [01:11<00:00,  5.16it/s]
Loading 0:  99%|█████████▉| 288/291 [01:11<00:00,  3.45it/s]
                                                            

Job chaiml-trainer-bajem-20-11618-v6-mkmlizer completed after 125.82s with status: succeeded
Stopping job with name chaiml-trainer-bajem-20-11618-v6-mkmlizer
Pipeline stage MKMLizer completed in 126.65s
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 chaiml-trainer-bajem-20-11618-v6
Waiting for inference service chaiml-trainer-bajem-20-11618-v6 to be ready
Failed to get response for submission rirv938-reward-model-ret_4859_v1: HTTPConnectionPool(host='rirv938-reward-model-ret-4859-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission rirv938-reward-model-ret_4859_v1: HTTPConnectionPool(host='rirv938-reward-model-ret-4859-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-trainer-bajem-20-11618-v6 ready after 120.43418288230896s
Pipeline stage MKMLDeployer completed in 121.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1593546867370605s
Received healthy response to inference request in 4.008687734603882s
Received healthy response to inference request in 1.5540790557861328s
Received healthy response to inference request in 5.3454835414886475s
Received healthy response to inference request in 2.9088315963745117s
5 requests
0 failed requests
5th percentile: 1.8250295639038085
10th percentile: 2.0959800720214843
20th percentile: 2.6378810882568358
30th percentile: 2.9589362144470215
40th percentile: 3.059145450592041
50th percentile: 3.1593546867370605
60th percentile: 3.499087905883789
70th percentile: 3.8388211250305173
80th percentile: 4.276046895980835
90th percentile: 4.810765218734741
95th percentile: 5.078124380111694
99th percentile: 5.292011709213257
mean time: 3.3952873229980467
%s, retrying in %s seconds...
Received healthy response to inference request in 2.537348747253418s
Received healthy response to inference request in 3.9439895153045654s
Received healthy response to inference request in 2.9363222122192383s
Received healthy response to inference request in 3.4492411613464355s
Received healthy response to inference request in 4.085111379623413s
5 requests
0 failed requests
5th percentile: 2.617143440246582
10th percentile: 2.696938133239746
20th percentile: 2.8565275192260744
30th percentile: 3.0389060020446776
40th percentile: 3.244073581695557
50th percentile: 3.4492411613464355
60th percentile: 3.6471405029296875
70th percentile: 3.8450398445129395
80th percentile: 3.972213888168335
90th percentile: 4.028662633895874
95th percentile: 4.056887006759643
99th percentile: 4.079466505050659
mean time: 3.390402603149414
%s, retrying in %s seconds...
Received healthy response to inference request in 2.6078972816467285s
Received healthy response to inference request in 3.692537784576416s
Received healthy response to inference request in 2.7950382232666016s
Received healthy response to inference request in 1.8318591117858887s
Received healthy response to inference request in 3.355954170227051s
5 requests
0 failed requests
5th percentile: 1.9870667457580566
10th percentile: 2.1422743797302246
20th percentile: 2.4526896476745605
30th percentile: 2.645325469970703
40th percentile: 2.7201818466186523
50th percentile: 2.7950382232666016
60th percentile: 3.0194046020507814
70th percentile: 3.243770980834961
80th percentile: 3.423270893096924
90th percentile: 3.55790433883667
95th percentile: 3.625221061706543
99th percentile: 3.6790744400024415
mean time: 2.856657314300537
Pipeline stage StressChecker completed in 52.95s
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 0.69s
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 0.67s
Shutdown handler de-registered
chaiml-trainer-bajem-20_11618_v6 status is now deployed due to DeploymentManager action
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...
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v6-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.57s
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 chaiml-trainer-bajem-20-11618-v6-profiler
Waiting for inference service chaiml-trainer-bajem-20-11618-v6-profiler to be ready
Inference service chaiml-trainer-bajem-20-11618-v6-profiler ready after 60.25043821334839s
Pipeline stage MKMLProfilerDeployer completed in 60.60s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-trainer-bajemeb0a24750b2a15129e58e6d0c239048a-deplo5bq7m:/code/chaiverse_profiler_1743307180 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-trainer-bajemeb0a24750b2a15129e58e6d0c239048a-deplo5bq7m --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743307180 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743307180/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v6-profiler is running
Tearing down inference service chaiml-trainer-bajem-20-11618-v6-profiler
Service chaiml-trainer-bajem-20-11618-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.28s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v6-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.50s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-trainer-bajem-20-11618-v6-profiler
Waiting for inference service chaiml-trainer-bajem-20-11618-v6-profiler to be ready
Inference service chaiml-trainer-bajem-20-11618-v6-profiler ready after 70.29186010360718s
Pipeline stage MKMLProfilerDeployer completed in 70.64s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-trainer-bajemeb0a24750b2a15129e58e6d0c239048a-deplof744f:/code/chaiverse_profiler_1743310804 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-trainer-bajemeb0a24750b2a15129e58e6d0c239048a-deplof744f --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743310804 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743310804/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-trainer-bajem-20-11618-v6-profiler is running
Tearing down inference service chaiml-trainer-bajem-20-11618-v6-profiler
Service chaiml-trainer-bajem-20-11618-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.56s
Shutdown handler de-registered
chaiml-trainer-bajem-20_11618_v6 status is now inactive due to auto deactivation removed underperforming models
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1