developer_uid: rirv938
submission_id: chaiml-llama-8b-202503-_16869_v1
model_name: chaiml-llama-8b-202503-_16869_v1
model_group: ChaiML/llama_8b_202503_1
status: torndown
timestamp: 2025-03-17T22:47:55+00:00
num_battles: 8443
num_wins: 3558
celo_rating: 1220.16
family_friendly_score: 0.7416
family_friendly_standard_error: 0.006190790579562517
submission_type: basic
model_repo: ChaiML/llama_8b_202503_1m_nemo_safety
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 1
display_name: chaiml-llama-8b-202503-_16869_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/llama_8b_202503_1m_nemo_safety
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-17
win_ratio: 0.4214141892692171
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 chaiml-llama-8b-202503-16869-v1-mkmlizer
Waiting for job on chaiml-llama-8b-202503-16869-v1-mkmlizer to finish
chaiml-llama-8b-202503-16869-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ _____ __ __ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ /___/ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ belonging to: ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ║ ║
chaiml-llama-8b-202503-16869-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama-8b-202503-16869-v1-mkmlizer: Downloaded to shared memory in 30.421s
chaiml-llama-8b-202503-16869-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp_u_frhfs, device:0
chaiml-llama-8b-202503-16869-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama-8b-202503-16869-v1-mkmlizer: quantized model in 85.465s
chaiml-llama-8b-202503-16869-v1-mkmlizer: Processed model ChaiML/llama_8b_202503_1m_nemo_safety in 115.886s
chaiml-llama-8b-202503-16869-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama-8b-202503-16869-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama-8b-202503-16869-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1
chaiml-llama-8b-202503-16869-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1/config.json
chaiml-llama-8b-202503-16869-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1/special_tokens_map.json
chaiml-llama-8b-202503-16869-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1/tokenizer_config.json
chaiml-llama-8b-202503-16869-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1/tokenizer.json
chaiml-llama-8b-202503-16869-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama-8b-202503-16869-v1/flywheel_model.0.safetensors
chaiml-llama-8b-202503-16869-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 3/291 [00:00<00:56, 5.13it/s] Loading 0: 1%|▏ | 4/291 [00:01<01:32, 3.11it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:04, 2.30it/s] Loading 0: 3%|▎ | 8/291 [00:02<01:04, 4.40it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:03, 4.46it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:55, 5.05it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:05, 4.25it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:26, 3.21it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:50, 2.52it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:03, 4.33it/s] Loading 0: 6%|▌ | 18/291 [00:04<00:59, 4.56it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.15it/s] Loading 0: 7%|▋ | 21/291 [00:05<01:02, 4.32it/s] Loading 0: 8%|▊ | 22/291 [00:05<01:22, 3.26it/s] Loading 0: 8%|▊ | 23/291 [00:06<01:43, 2.59it/s] Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.41it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:57, 4.63it/s] Loading 0: 10%|▉ | 28/291 [00:07<00:50, 5.16it/s] Loading 0: 10%|█ | 30/291 [00:07<01:00, 4.33it/s] Loading 0: 11%|█ | 31/291 [00:08<01:19, 3.27it/s] Loading 0: 11%|█ | 32/291 [00:08<01:39, 2.59it/s] Loading 0: 12%|█▏ | 35/291 [00:09<00:58, 4.40it/s] Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.64it/s] Loading 0: 13%|█▎ | 37/291 [00:09<00:49, 5.14it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:58, 4.33it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:16, 3.27it/s] Loading 0: 14%|█▍ | 41/291 [00:11<01:36, 2.59it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.40it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.63it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:46, 5.23it/s] Loading 0: 16%|█▋ | 48/291 [00:12<00:56, 4.34it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:14, 3.26it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:34, 2.56it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:54, 4.34it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:51, 4.59it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:46, 5.13it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:54, 4.32it/s] Loading 0: 20%|█▉ | 58/291 [00:15<01:11, 3.27it/s] Loading 0: 20%|██ | 59/291 [00:15<01:29, 2.59it/s] Loading 0: 21%|██▏ | 62/291 [00:15<00:52, 4.39it/s] Loading 0: 22%|██▏ | 63/291 [00:16<00:49, 4.62it/s] Loading 0: 22%|██▏ | 64/291 [00:16<00:44, 5.13it/s] Loading 0: 23%|██▎ | 66/291 [00:16<00:52, 4.32it/s] Loading 0: 23%|██▎ | 67/291 [00:17<01:08, 3.25it/s] Loading 0: 23%|██▎ | 68/291 [00:18<01:26, 2.57it/s] Loading 0: 24%|██▍ | 71/291 [00:18<00:50, 4.35it/s] Loading 0: 25%|██▍ | 72/291 [00:18<00:47, 4.59it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:42, 5.18it/s] Loading 0: 26%|██▌ | 75/291 [00:19<00:50, 4.32it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:05, 3.28it/s] Loading 0: 26%|██▋ | 77/291 [00:20<01:22, 2.59it/s] Loading 0: 27%|██▋ | 80/291 [00:20<00:48, 4.39it/s] Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.63it/s] Loading 0: 28%|██▊ | 82/291 [00:20<00:39, 5.23it/s] Loading 0: 29%|██▊ | 83/291 [00:21<00:40, 5.15it/s] Loading 0: 29%|██▉ | 84/291 [00:21<01:00, 3.42it/s] Loading 0: 29%|██▉ | 85/291 [00:22<01:15, 2.71it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:31, 2.23it/s] Loading 0: 31%|███ | 89/291 [00:23<00:48, 4.16it/s] Loading 0: 31%|███ | 90/291 [00:23<00:45, 4.43it/s] Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.06it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.26it/s] Loading 0: 32%|███▏ | 94/291 [00:24<01:01, 3.23it/s] Loading 0: 33%|███▎ | 95/291 [00:25<01:16, 2.57it/s] Loading 0: 34%|███▎ | 98/291 [00:25<00:43, 4.44it/s] Loading 0: 34%|███▍ | 99/291 [00:25<00:40, 4.69it/s] Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.29it/s] Loading 0: 35%|███▌ | 102/291 [00:26<00:43, 4.38it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:57, 3.29it/s] Loading 0: 36%|███▌ | 104/291 [00:27<01:12, 2.58it/s] Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.40it/s] Loading 0: 37%|███▋ | 108/291 [00:27<00:39, 4.65it/s] Loading 0: 38%|███▊ | 110/291 [00:27<00:28, 6.39it/s] Loading 0: 38%|███▊ | 112/291 [00:29<00:53, 3.37it/s] Loading 0: 39%|███▉ | 113/291 [00:29<01:05, 2.74it/s] Loading 0: 40%|███▉ | 116/291 [00:29<00:40, 4.37it/s] Loading 0: 40%|████ | 117/291 [00:30<00:37, 4.60it/s] Loading 0: 41%|████ | 118/291 [00:30<00:34, 5.07it/s] Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.33it/s] Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.31it/s] Loading 0: 42%|████▏ | 122/291 [00:31<01:04, 2.63it/s] Loading 0: 43%|████▎ | 125/291 [00:32<00:37, 4.42it/s] Loading 0: 43%|████▎ | 126/291 [00:32<00:35, 4.66it/s] Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.19it/s] Loading 0: 44%|████▍ | 129/291 [00:33<00:37, 4.36it/s] Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.29it/s] Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.61it/s] Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.47it/s] Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.71it/s] Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.31it/s] Loading 0: 47%|████▋ | 138/291 [00:35<00:34, 4.42it/s] Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.33it/s] Loading 0: 48%|████▊ | 140/291 [00:36<00:57, 2.61it/s] Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.44it/s] Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.68it/s] Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.29it/s] Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.40it/s] Loading 0: 51%|█████ | 148/291 [00:38<00:43, 3.32it/s] Loading 0: 51%|█████ | 149/291 [00:38<00:54, 2.63it/s] Loading 0: 52%|█████▏ | 152/291 [00:38<00:31, 4.45it/s] Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.69it/s] Loading 0: 53%|█████▎ | 154/291 [00:39<00:25, 5.28it/s] Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.42it/s] Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.33it/s] Loading 0: 54%|█████▍ | 158/291 [00:41<00:50, 2.62it/s] Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.44it/s] Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.69it/s] Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.29it/s] Loading 0: 57%|█████▋ | 165/291 [00:42<00:28, 4.42it/s] Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.33it/s] Loading 0: 57%|█████▋ | 167/291 [00:43<00:47, 2.62it/s] Loading 0: 58%|█████▊ | 170/291 [00:43<00:27, 4.44it/s] Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.68it/s] Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.27it/s] Loading 0: 59%|█████▉ | 173/291 [00:44<00:33, 3.56it/s] Loading 0: 60%|██████ | 175/291 [00:44<00:23, 4.89it/s] Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.12it/s] Loading 0: 62%|██████▏ | 179/291 [00:45<00:23, 4.77it/s] Loading 0: 62%|██████▏ | 180/291 [00:45<00:30, 3.59it/s] Loading 0: 62%|██████▏ | 181/291 [00:46<00:38, 2.82it/s] Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.65it/s] Loading 0: 64%|██████▎ | 185/291 [00:46<00:21, 4.87it/s] Loading 0: 64%|██████▍ | 186/291 [00:47<00:19, 5.44it/s] Loading 0: 64%|██████▍ | 187/291 [00:47<00:18, 5.49it/s] Loading 0: 65%|██████▍ | 188/291 [00:47<00:28, 3.57it/s] Loading 0: 65%|██████▍ | 189/291 [00:48<00:37, 2.69it/s] Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.60it/s] Loading 0: 66%|██████▋ | 193/291 [00:49<00:33, 2.97it/s] Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.47it/s] Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.19it/s] Loading 0: 68%|██████▊ | 198/291 [00:50<00:20, 4.46it/s] Loading 0: 69%|██████▉ | 201/291 [00:51<00:20, 4.46it/s] Loading 0: 69%|██████▉ | 202/291 [00:51<00:25, 3.50it/s] Loading 0: 70%|██████▉ | 203/291 [00:52<00:31, 2.79it/s] Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.45it/s] Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.67it/s] Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.24it/s] Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.42it/s] Loading 0: 73%|███████▎ | 211/291 [00:54<00:23, 3.33it/s] Loading 0: 73%|███████▎ | 212/291 [00:54<00:29, 2.65it/s] Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.52it/s] Loading 0: 74%|███████▍ | 216/291 [00:55<00:15, 4.83it/s] Loading 0: 75%|███████▍ | 217/291 [00:55<00:13, 5.42it/s] Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.47it/s] Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.35it/s] Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.64it/s] Loading 0: 77%|███████▋ | 224/291 [00:57<00:14, 4.48it/s] Loading 0: 77%|███████▋ | 225/291 [00:57<00:13, 4.72it/s] Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.28it/s] Loading 0: 78%|███████▊ | 228/291 [00:58<00:14, 4.34it/s] Loading 0: 79%|███████▊ | 229/291 [00:58<00:18, 3.30it/s] Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.62it/s] Loading 0: 80%|████████ | 233/291 [00:59<00:13, 4.45it/s] Loading 0: 80%|████████ | 234/291 [00:59<00:12, 4.70it/s] Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.29it/s] Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.40it/s] Loading 0: 82%|████████▏ | 238/291 [01:00<00:15, 3.32it/s] Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.63it/s] Loading 0: 83%|████████▎ | 242/291 [01:01<00:10, 4.52it/s] Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.76it/s] Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.32it/s] Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.42it/s] Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.33it/s] Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.63it/s] Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.46it/s] Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.70it/s] Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.27it/s] Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.40it/s] Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.31it/s] Loading 0: 88%|████████▊ | 257/291 [01:06<00:12, 2.63it/s] Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.48it/s] Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.72it/s] Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.27it/s] Loading 0: 91%|█████████ | 264/291 [01:07<00:06, 4.40it/s] Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.32it/s] Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.63it/s] Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.53it/s] Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.77it/s] Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.35it/s] Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.44it/s] Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.33it/s] Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.62it/s] Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.44it/s] Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.68it/s] Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.28it/s] Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.56it/s] Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.70it/s] Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.93it/s] Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.29it/s] Loading 0: 98%|█████████▊| 286/291 [01:12<00:01, 4.97it/s] Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 5.16it/s] Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.36it/s]
Job chaiml-llama-8b-202503-16869-v1-mkmlizer completed after 145.2s with status: succeeded
Stopping job with name chaiml-llama-8b-202503-16869-v1-mkmlizer
Pipeline stage MKMLizer completed in 145.70s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-llama-8b-202503-16869-v1
Waiting for inference service chaiml-llama-8b-202503-16869-v1 to be ready
Inference service chaiml-llama-8b-202503-16869-v1 ready after 90.3132894039154s
Pipeline stage MKMLDeployer completed in 90.90s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6297972202301025s
Received healthy response to inference request in 2.0693368911743164s
Received healthy response to inference request in 3.4436182975769043s
Received healthy response to inference request in 3.332286834716797s
Received healthy response to inference request in 3.736987590789795s
5 requests
0 failed requests
5th percentile: 2.1814289569854735
10th percentile: 2.293521022796631
20th percentile: 2.5177051544189455
30th percentile: 2.7702951431274414
40th percentile: 3.051290988922119
50th percentile: 3.332286834716797
60th percentile: 3.3768194198608397
70th percentile: 3.421352005004883
80th percentile: 3.5022921562194824
90th percentile: 3.6196398735046387
95th percentile: 3.678313732147217
99th percentile: 3.7252528190612795
mean time: 3.042405366897583
Pipeline stage StressChecker completed in 16.52s
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 0.70s
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 0.66s
Shutdown handler de-registered
chaiml-llama-8b-202503-_16869_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-202503-16869-v1-profiler
Waiting for inference service chaiml-llama-8b-202503-16869-v1-profiler to be ready
Inference service chaiml-llama-8b-202503-16869-v1-profiler ready after 90.36552882194519s
Pipeline stage MKMLProfilerDeployer completed in 90.79s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplopskn5:/code/chaiverse_profiler_1742252072 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplopskn5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1742252072 && 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_1742252072/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-202503-16869-v1-profiler is running
Tearing down inference service chaiml-llama-8b-202503-16869-v1-profiler
Service chaiml-llama-8b-202503-16869-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.38s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-202503-16869-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-202503-16869-v1-profiler
Waiting for inference service chaiml-llama-8b-202503-16869-v1-profiler to be ready
Inference service chaiml-llama-8b-202503-16869-v1-profiler ready after 90.35938119888306s
Pipeline stage MKMLProfilerDeployer completed in 90.67s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplotr4mn:/code/chaiverse_profiler_1742255695 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplotr4mn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1742255695 && 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_1742255695/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-202503-16869-v1-profiler is running
Tearing down inference service chaiml-llama-8b-202503-16869-v1-profiler
Service chaiml-llama-8b-202503-16869-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.21s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-202503-16869-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.21s
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 chaiml-llama-8b-202503-16869-v1-profiler
Waiting for inference service chaiml-llama-8b-202503-16869-v1-profiler to be ready
Inference service chaiml-llama-8b-202503-16869-v1-profiler ready after 90.37768745422363s
Pipeline stage MKMLProfilerDeployer completed in 90.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplo95prv:/code/chaiverse_profiler_1742259327 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama-8b-20250c5515adc2c8662a025837bbb95058e7-deplo95prv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1742259327 && 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_1742259327/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama-8b-202503-16869-v1-profiler is running
Tearing down inference service chaiml-llama-8b-202503-16869-v1-profiler
Service chaiml-llama-8b-202503-16869-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.32s
Shutdown handler de-registered
chaiml-llama-8b-202503-_16869_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama-8b-202503-_16869_v1 status is now torndown due to DeploymentManager action
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1