developer_uid: rirv938
submission_id: rirv938-reward-model-re_76185_v2
model_name: rirv938-reward-model-re_76185_v2
model_group: rirv938/reward_model_ret
status: inactive
timestamp: 2025-03-28T17:02:15+00:00
num_battles: 10504
num_wins: 5823
celo_rating: 1314.69
family_friendly_score: 0.546
family_friendly_standard_error: 0.007041079462696043
submission_type: basic
model_repo: rirv938/reward_model_retuned_1_old_multihead
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 1
display_name: rirv938-reward-model-re_76185_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: rirv938/reward_model_retuned_1_old_multihead
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-28
win_ratio: 0.5543602437166794
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': 512, '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 rirv938-reward-model-re-76185-v2-mkmlizer
Waiting for job on rirv938-reward-model-re-76185-v2-mkmlizer to finish
rirv938-reward-model-re-76185-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-reward-model-re-76185-v2-mkmlizer: ║ _____ __ __ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ /___/ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ Version: 0.12.8 ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ https://mk1.ai ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ belonging to: ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ Chai Research Corp. ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-reward-model-re-76185-v2-mkmlizer: ║ ║
rirv938-reward-model-re-76185-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-reward-model-re-76185-v2-mkmlizer: Downloaded to shared memory in 23.833s
rirv938-reward-model-re-76185-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpq41jdodk, device:0
rirv938-reward-model-re-76185-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-reward-model-re-76185-v2-mkmlizer: quantized model in 84.746s
rirv938-reward-model-re-76185-v2-mkmlizer: Processed model rirv938/reward_model_retuned_1_old_multihead in 108.580s
rirv938-reward-model-re-76185-v2-mkmlizer: creating bucket guanaco-mkml-models
rirv938-reward-model-re-76185-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-reward-model-re-76185-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2
rirv938-reward-model-re-76185-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2/config.json
rirv938-reward-model-re-76185-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2/special_tokens_map.json
rirv938-reward-model-re-76185-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2/tokenizer_config.json
rirv938-reward-model-re-76185-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2/tokenizer.json
rirv938-reward-model-re-76185-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-reward-model-re-76185-v2/flywheel_model.0.safetensors
rirv938-reward-model-re-76185-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 3/291 [00:00<00:53, 5.34it/s] Loading 0: 1%|▏ | 4/291 [00:01<01:28, 3.25it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:00, 2.38it/s] Loading 0: 3%|▎ | 8/291 [00:01<01:02, 4.56it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:01, 4.62it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.19it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:03, 4.40it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:23, 3.32it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:45, 2.62it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:01, 4.48it/s] Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.71it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.23it/s] Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.36it/s] Loading 0: 8%|▊ | 22/291 [00:05<01:22, 3.28it/s] Loading 0: 8%|▊ | 23/291 [00:06<01:44, 2.56it/s] Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.36it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:57, 4.61it/s] Loading 0: 10%|▉ | 28/291 [00:06<00:51, 5.15it/s] Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.41it/s] Loading 0: 11%|█ | 31/291 [00:08<01:17, 3.35it/s] Loading 0: 11%|█ | 32/291 [00:08<01:39, 2.59it/s] Loading 0: 12%|█▏ | 35/291 [00:08<00:57, 4.42it/s] Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.67it/s] Loading 0: 13%|█▎ | 37/291 [00:09<00:48, 5.22it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:56, 4.43it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:14, 3.36it/s] Loading 0: 14%|█▍ | 41/291 [00:10<01:34, 2.64it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:54, 4.53it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:51, 4.76it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:45, 5.36it/s] Loading 0: 16%|█▋ | 48/291 [00:11<00:54, 4.43it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:12, 3.32it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:33, 2.58it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.44it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.68it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.26it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:52, 4.46it/s] Loading 0: 20%|█▉ | 58/291 [00:14<01:08, 3.39it/s] Loading 0: 20%|██ | 59/291 [00:15<01:26, 2.68it/s] Loading 0: 21%|██▏ | 62/291 [00:15<00:49, 4.60it/s] Loading 0: 22%|██▏ | 63/291 [00:15<00:47, 4.83it/s] Loading 0: 22%|██▏ | 64/291 [00:15<00:42, 5.34it/s] Loading 0: 23%|██▎ | 66/291 [00:16<00:49, 4.51it/s] Loading 0: 23%|██▎ | 67/291 [00:16<01:05, 3.41it/s] Loading 0: 23%|██▎ | 68/291 [00:17<01:23, 2.66it/s] Loading 0: 24%|██▍ | 71/291 [00:17<00:48, 4.56it/s] Loading 0: 25%|██▍ | 72/291 [00:17<00:45, 4.81it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:40, 5.39it/s] Loading 0: 26%|██▌ | 75/291 [00:18<00:48, 4.46it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.34it/s] Loading 0: 26%|██▋ | 77/291 [00:19<01:22, 2.60it/s] Loading 0: 27%|██▋ | 80/291 [00:20<00:47, 4.41it/s] Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.65it/s] Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.19it/s] Loading 0: 29%|██▊ | 83/291 [00:20<00:39, 5.24it/s] Loading 0: 29%|██▉ | 84/291 [00:21<00:59, 3.46it/s] Loading 0: 29%|██▉ | 85/291 [00:21<01:15, 2.73it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:31, 2.23it/s] Loading 0: 31%|███ | 89/291 [00:22<00:49, 4.10it/s] Loading 0: 31%|███ | 90/291 [00:22<00:46, 4.37it/s] Loading 0: 31%|███▏ | 91/291 [00:22<00:40, 4.96it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:47, 4.19it/s] Loading 0: 32%|███▏ | 94/291 [00:24<01:01, 3.19it/s] Loading 0: 33%|███▎ | 95/291 [00:24<01:18, 2.49it/s] Loading 0: 34%|███▎ | 98/291 [00:24<00:45, 4.23it/s] Loading 0: 34%|███▍ | 99/291 [00:25<00:42, 4.48it/s] Loading 0: 34%|███▍ | 100/291 [00:25<00:37, 5.03it/s] Loading 0: 35%|███▌ | 102/291 [00:25<00:44, 4.27it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:58, 3.22it/s] Loading 0: 36%|███▌ | 104/291 [00:27<01:13, 2.56it/s] Loading 0: 37%|███▋ | 107/291 [00:27<00:42, 4.37it/s] Loading 0: 37%|███▋ | 108/291 [00:27<00:39, 4.63it/s] Loading 0: 37%|███▋ | 109/291 [00:27<00:34, 5.21it/s] Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.38it/s] Loading 0: 38%|███▊ | 112/291 [00:28<00:53, 3.32it/s] Loading 0: 39%|███▉ | 113/291 [00:29<01:07, 2.65it/s] Loading 0: 40%|███▉ | 116/291 [00:29<00:38, 4.55it/s] Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.80it/s] Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.38it/s] Loading 0: 41%|████ | 120/291 [00:30<00:37, 4.51it/s] Loading 0: 42%|████▏ | 121/291 [00:30<00:49, 3.42it/s] Loading 0: 42%|████▏ | 122/291 [00:31<01:02, 2.69it/s] Loading 0: 43%|████▎ | 125/291 [00:31<00:35, 4.62it/s] Loading 0: 43%|████▎ | 126/291 [00:31<00:33, 4.87it/s] Loading 0: 44%|████▎ | 127/291 [00:31<00:30, 5.46it/s] Loading 0: 44%|████▍ | 129/291 [00:32<00:35, 4.57it/s] Loading 0: 45%|████▍ | 130/291 [00:33<00:47, 3.42it/s] Loading 0: 45%|████▌ | 131/291 [00:33<00:59, 2.70it/s] Loading 0: 46%|████▌ | 134/291 [00:33<00:33, 4.63it/s] Loading 0: 46%|████▋ | 135/291 [00:34<00:31, 4.89it/s] Loading 0: 47%|████▋ | 136/291 [00:34<00:28, 5.47it/s] Loading 0: 47%|████▋ | 138/291 [00:34<00:33, 4.56it/s] Loading 0: 48%|████▊ | 139/291 [00:35<00:44, 3.43it/s] Loading 0: 48%|████▊ | 140/291 [00:35<00:55, 2.71it/s] Loading 0: 49%|████▉ | 143/291 [00:36<00:31, 4.67it/s] Loading 0: 49%|████▉ | 144/291 [00:36<00:30, 4.90it/s] Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.38it/s] Loading 0: 51%|█████ | 147/291 [00:36<00:31, 4.52it/s] Loading 0: 51%|█████ | 148/291 [00:37<00:41, 3.42it/s] Loading 0: 51%|█████ | 149/291 [00:38<00:52, 2.70it/s] Loading 0: 52%|█████▏ | 152/291 [00:38<00:29, 4.65it/s] Loading 0: 53%|█████▎ | 153/291 [00:38<00:28, 4.90it/s] Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.45it/s] Loading 0: 54%|█████▎ | 156/291 [00:39<00:29, 4.56it/s] Loading 0: 54%|█████▍ | 157/291 [00:39<00:39, 3.44it/s] Loading 0: 54%|█████▍ | 158/291 [00:40<00:49, 2.68it/s] Loading 0: 55%|█████▌ | 161/291 [00:40<00:28, 4.56it/s] Loading 0: 56%|█████▌ | 162/291 [00:40<00:26, 4.82it/s] Loading 0: 56%|█████▌ | 163/291 [00:40<00:23, 5.37it/s] Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.45it/s] Loading 0: 57%|█████▋ | 166/291 [00:41<00:37, 3.33it/s] Loading 0: 57%|█████▋ | 167/291 [00:42<00:47, 2.61it/s] Loading 0: 58%|█████▊ | 170/291 [00:42<00:27, 4.48it/s] Loading 0: 59%|█████▉ | 171/291 [00:42<00:25, 4.71it/s] Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.25it/s] Loading 0: 59%|█████▉ | 173/291 [00:43<00:33, 3.55it/s] Loading 0: 60%|██████ | 175/291 [00:43<00:23, 4.85it/s] Loading 0: 60%|██████ | 176/291 [00:43<00:22, 5.07it/s] Loading 0: 61%|██████ | 177/291 [00:44<00:20, 5.70it/s] Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.50it/s] Loading 0: 62%|██████▏ | 180/291 [00:45<00:33, 3.30it/s] Loading 0: 62%|██████▏ | 181/291 [00:45<00:42, 2.57it/s] Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.50it/s] Loading 0: 64%|██████▎ | 185/291 [00:46<00:22, 4.73it/s] Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.28it/s] Loading 0: 64%|██████▍ | 187/291 [00:46<00:19, 5.46it/s] Loading 0: 65%|██████▍ | 188/291 [00:47<00:29, 3.53it/s] Loading 0: 65%|██████▍ | 189/291 [00:47<00:38, 2.64it/s] Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.61it/s] Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 2.99it/s] Loading 0: 67%|██████▋ | 194/291 [00:49<00:38, 2.49it/s] Loading 0: 68%|██████▊ | 197/291 [00:49<00:22, 4.21it/s] Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.48it/s] Loading 0: 68%|██████▊ | 199/291 [00:49<00:18, 5.05it/s] Loading 0: 69%|██████▉ | 201/291 [00:50<00:20, 4.36it/s] Loading 0: 69%|██████▉ | 202/291 [00:51<00:26, 3.34it/s] Loading 0: 70%|██████▉ | 203/291 [00:51<00:33, 2.64it/s] Loading 0: 71%|███████ | 206/291 [00:51<00:18, 4.48it/s] Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.72it/s] Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.30it/s] Loading 0: 72%|███████▏ | 210/291 [00:52<00:18, 4.40it/s] Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.36it/s] Loading 0: 73%|███████▎ | 212/291 [00:53<00:30, 2.63it/s] Loading 0: 74%|███████▍ | 215/291 [00:54<00:17, 4.46it/s] Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.70it/s] Loading 0: 75%|███████▍ | 217/291 [00:54<00:14, 5.26it/s] Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.41it/s] Loading 0: 76%|███████▌ | 220/291 [00:55<00:21, 3.33it/s] Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.63it/s] Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.53it/s] Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.78it/s] Loading 0: 78%|███████▊ | 226/291 [00:56<00:12, 5.35it/s] Loading 0: 78%|███████▊ | 228/291 [00:57<00:13, 4.51it/s] Loading 0: 79%|███████▊ | 229/291 [00:57<00:18, 3.41it/s] Loading 0: 79%|███████▉ | 230/291 [00:58<00:22, 2.70it/s] Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.58it/s] Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.83it/s] Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.41it/s] Loading 0: 81%|████████▏ | 237/291 [00:59<00:11, 4.55it/s] Loading 0: 82%|████████▏ | 238/291 [00:59<00:15, 3.44it/s] Loading 0: 82%|████████▏ | 239/291 [01:00<00:19, 2.72it/s] Loading 0: 83%|████████▎ | 242/291 [01:00<00:10, 4.61it/s] Loading 0: 84%|████████▎ | 243/291 [01:00<00:09, 4.86it/s] Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.42it/s] Loading 0: 85%|████████▍ | 246/291 [01:01<00:09, 4.54it/s] Loading 0: 85%|████████▍ | 247/291 [01:02<00:12, 3.43it/s] Loading 0: 85%|████████▌ | 248/291 [01:02<00:15, 2.71it/s] Loading 0: 86%|████████▋ | 251/291 [01:02<00:08, 4.61it/s] Loading 0: 87%|████████▋ | 252/291 [01:03<00:08, 4.85it/s] Loading 0: 87%|████████▋ | 253/291 [01:03<00:07, 5.39it/s] Loading 0: 88%|████████▊ | 255/291 [01:03<00:07, 4.53it/s] Loading 0: 88%|████████▊ | 256/291 [01:04<00:10, 3.43it/s] Loading 0: 88%|████████▊ | 257/291 [01:04<00:12, 2.70it/s] Loading 0: 89%|████████▉ | 260/291 [01:05<00:06, 4.65it/s] Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.90it/s] Loading 0: 90%|█████████ | 262/291 [01:05<00:05, 5.42it/s] Loading 0: 91%|█████████ | 264/291 [01:06<00:05, 4.52it/s] Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.37it/s] Loading 0: 91%|█████████▏| 266/291 [01:07<00:09, 2.63it/s] Loading 0: 92%|█████████▏| 269/291 [01:07<00:04, 4.51it/s] Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.73it/s] Loading 0: 93%|█████████▎| 271/291 [01:07<00:03, 5.33it/s] Loading 0: 94%|█████████▍| 273/291 [01:08<00:04, 4.39it/s] Loading 0: 94%|█████████▍| 274/291 [01:08<00:05, 3.27it/s] Loading 0: 95%|█████████▍| 275/291 [01:09<00:06, 2.59it/s] Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.41it/s] Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.65it/s] Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.18it/s] Loading 0: 97%|█████████▋| 281/291 [01:10<00:02, 3.48it/s] Loading 0: 97%|█████████▋| 282/291 [01:11<00:03, 2.60it/s] Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 3.74it/s] Loading 0: 98%|█████████▊| 285/291 [01:11<00:01, 4.10it/s] Loading 0: 98%|█████████▊| 286/291 [01:11<00:01, 4.75it/s] Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 5.00it/s] Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.26it/s]
Job rirv938-reward-model-re-76185-v2-mkmlizer completed after 135.21s with status: succeeded
Stopping job with name rirv938-reward-model-re-76185-v2-mkmlizer
Pipeline stage MKMLizer completed in 135.72s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-reward-model-re-76185-v2
Waiting for inference service rirv938-reward-model-re-76185-v2 to be ready
Inference service rirv938-reward-model-re-76185-v2 ready after 100.38038206100464s
Pipeline stage MKMLDeployer completed in 101.04s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.703986167907715s
Received healthy response to inference request in 3.9630815982818604s
Received healthy response to inference request in 3.136183977127075s
Received healthy response to inference request in 2.7386560440063477s
Received healthy response to inference request in 2.123178482055664s
5 requests
0 failed requests
5th percentile: 2.246273994445801
10th percentile: 2.3693695068359375
20th percentile: 2.615560531616211
30th percentile: 2.818161630630493
40th percentile: 2.9771728038787844
50th percentile: 3.136183977127075
60th percentile: 3.363304853439331
70th percentile: 3.590425729751587
80th percentile: 3.755805253982544
90th percentile: 3.859443426132202
95th percentile: 3.9112625122070312
99th percentile: 3.9527177810668945
mean time: 3.1330172538757326
Pipeline stage StressChecker completed in 16.99s
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 0.65s
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 0.63s
Shutdown handler de-registered
rirv938-reward-model-re_76185_v2 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 0.11s
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 rirv938-reward-model-re-76185-v2-profiler
Waiting for inference service rirv938-reward-model-re-76185-v2-profiler to be ready
Inference service rirv938-reward-model-re-76185-v2-profiler ready after 110.50984692573547s
Pipeline stage MKMLProfilerDeployer completed in 110.92s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-reward-model111808e9a4618710a26c745ff0633762-deplojfvzk:/code/chaiverse_profiler_1743181740 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-reward-model111808e9a4618710a26c745ff0633762-deplojfvzk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743181740 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743181740/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-re-76185-v2-profiler is running
Tearing down inference service rirv938-reward-model-re-76185-v2-profiler
Service rirv938-reward-model-re-76185-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.23s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-re-76185-v2-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.76s
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 rirv938-reward-model-re-76185-v2-profiler
Waiting for inference service rirv938-reward-model-re-76185-v2-profiler to be ready
Inference service rirv938-reward-model-re-76185-v2-profiler ready after 40.665465116500854s
Pipeline stage MKMLProfilerDeployer completed in 40.97s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-reward-model111808e9a4618710a26c745ff0633762-deplor9pm6:/code/chaiverse_profiler_1743185295 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-reward-model111808e9a4618710a26c745ff0633762-deplor9pm6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743185295 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743185295/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-re-76185-v2-profiler is running
Tearing down inference service rirv938-reward-model-re-76185-v2-profiler
Service rirv938-reward-model-re-76185-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.49s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-re-76185-v2-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.49s
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 rirv938-reward-model-re-76185-v2-profiler
Waiting for inference service rirv938-reward-model-re-76185-v2-profiler to be ready
Inference service rirv938-reward-model-re-76185-v2-profiler ready after 40.19864320755005s
Pipeline stage MKMLProfilerDeployer completed in 40.63s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-reward-model111808e9a4618710a26c745ff0633762-deplojktn2:/code/chaiverse_profiler_1743188917 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-reward-model111808e9a4618710a26c745ff0633762-deplojktn2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743188917 && 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 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743188917/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-re-76185-v2-profiler is running
Tearing down inference service rirv938-reward-model-re-76185-v2-profiler
Service rirv938-reward-model-re-76185-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.37s
Shutdown handler de-registered
rirv938-reward-model-re_76185_v2 status is now inactive due to auto deactivation removed underperforming models
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1