cycy233-l3-e-v3-c1

developer_uid: shiroe40
submission_id: cycy233-l3-e-v3-c1_v1
model_name: auto
model_group: cycy233/L3-e-v3-c1
status: torndown
timestamp: 2024-07-31T02:29:53+00:00
num_battles: 10137
num_wins: 5492
celo_rating: 1251.75
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-e-v3-c1
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-e-v3-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-30
win_ratio: 0.541777646246424
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-e-v3-c1-v1-mkmlizer
Waiting for job on cycy233-l3-e-v3-c1-v1-mkmlizer to finish
cycy233-l3-e-v3-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v3-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-e-v3-c2-v1-mkmlizer
Waiting for job on cycy233-l3-e-v3-c2-v1-mkmlizer to finish
cycy233-l3-e-v3-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v3-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v3-c1-v1-mkmlizer: Downloaded to shared memory in 34.990s
cycy233-l3-e-v3-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiypwabi4, device:0
cycy233-l3-e-v3-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v3-c1-v1-mkmlizer: quantized model in 26.371s
cycy233-l3-e-v3-c1-v1-mkmlizer: Processed model cycy233/L3-e-v3-c1 in 61.361s
cycy233-l3-e-v3-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-c1-v1
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c1-v1/config.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c1-v1/special_tokens_map.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c1-v1/tokenizer_config.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c1-v1/tokenizer.json
cycy233-l3-e-v3-c1-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-c1-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 38.30it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 49.59it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 52.79it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:04, 53.47it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 54.32it/s]
Loading 0:  17%|█▋        | 50/291 [00:00<00:04, 54.64it/s]
Loading 0:  20%|██        | 59/291 [00:01<00:04, 54.85it/s]
Loading 0:  23%|██▎       | 67/291 [00:01<00:03, 58.81it/s]
Loading 0:  25%|██▌       | 73/291 [00:01<00:03, 54.55it/s]
Loading 0:  27%|██▋       | 79/291 [00:01<00:03, 54.83it/s]
Loading 0:  29%|██▉       | 85/291 [00:01<00:05, 39.20it/s]
Loading 0:  31%|███▏      | 91/291 [00:01<00:04, 40.20it/s]
Loading 0:  33%|███▎      | 96/291 [00:01<00:04, 42.01it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:03, 48.05it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:03, 46.39it/s]
Loading 0:  39%|███▉      | 114/291 [00:02<00:03, 45.59it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 49.90it/s]
Loading 0:  44%|████▎     | 127/291 [00:02<00:03, 44.50it/s]
Loading 0:  45%|████▌     | 132/291 [00:02<00:04, 35.72it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:03, 41.52it/s]
Loading 0:  50%|████▉     | 145/291 [00:03<00:03, 41.42it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:03, 42.78it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:02, 48.68it/s]
Loading 0:  56%|█████▌    | 163/291 [00:03<00:02, 46.92it/s]
Loading 0:  58%|█████▊    | 168/291 [00:03<00:02, 46.55it/s]
Loading 0:  60%|██████    | 175/291 [00:03<00:02, 52.38it/s]
Loading 0:  62%|██████▏   | 181/291 [00:03<00:02, 44.79it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:02, 36.66it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 38.57it/s]
Loading 0:  68%|██████▊   | 198/291 [00:04<00:02, 43.08it/s]
Loading 0:  70%|██████▉   | 203/291 [00:04<00:02, 39.20it/s]
Loading 0:  73%|███████▎  | 211/291 [00:04<00:01, 47.82it/s]
Loading 0:  75%|███████▍  | 217/291 [00:04<00:01, 45.70it/s]
Loading 0:  76%|███████▋  | 222/291 [00:04<00:01, 46.45it/s]
Loading 0:  79%|███████▊  | 229/291 [00:04<00:01, 51.19it/s]
Loading 0:  81%|████████  | 235/291 [00:05<00:01, 46.36it/s]
Loading 0:  82%|████████▏ | 240/291 [00:05<00:01, 46.13it/s]
Loading 0:  85%|████████▍ | 247/291 [00:05<00:00, 51.48it/s]
Loading 0:  87%|████████▋ | 253/291 [00:05<00:00, 48.74it/s]
Loading 0:  89%|████████▉ | 259/291 [00:05<00:00, 50.31it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 52.70it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 49.65it/s]
Loading 0:  95%|█████████▌| 277/291 [00:05<00:00, 50.32it/s]
Loading 0:  97%|█████████▋| 283/291 [00:06<00:00, 45.54it/s]
Loading 0:  99%|█████████▉| 288/291 [00:11<00:00,  3.20it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c2-v1-mkmlizer: quantized model in 25.536s
cycy233-l3-e-v3-c2-v1-mkmlizer: Processed model cycy233/L3-e-v3-c2 in 61.166s
cycy233-l3-e-v3-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1/config.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1/special_tokens_map.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1/tokenizer_config.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1/tokenizer.json
cycy233-l3-e-v3-c1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-c1-v1-mkmlizer: Saving duration: 1.436s
cycy233-l3-e-v3-c1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.416s
cycy233-l3-e-v3-c1-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-c1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-c1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/config.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/merges.txt
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/vocab.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/tokenizer.json
cycy233-l3-e-v3-c1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v3-c1-v1_reward/reward.tensors
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v3-c2-v1/flywheel_model.0.safetensors
cycy233-l3-e-v3-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-c2-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 36.65it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 47.69it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 50.97it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 50.92it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:04, 56.99it/s]
Loading 0:  16%|█▌        | 46/291 [00:00<00:04, 53.55it/s]
Loading 0:  18%|█▊        | 52/291 [00:00<00:04, 54.74it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 55.68it/s]
Loading 0:  22%|██▏       | 64/291 [00:01<00:04, 51.58it/s]
Loading 0:  24%|██▍       | 70/291 [00:01<00:04, 52.61it/s]
Loading 0:  26%|██▋       | 77/291 [00:01<00:04, 48.82it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:05, 36.86it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 38.69it/s]
Loading 0:  33%|███▎      | 95/291 [00:02<00:04, 39.88it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:03, 48.16it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:03, 46.97it/s]
Loading 0:  40%|███▉      | 115/291 [00:02<00:03, 48.50it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 49.46it/s]
Loading 0:  44%|████▎     | 127/291 [00:02<00:03, 45.22it/s]
Loading 0:  45%|████▌     | 132/291 [00:02<00:03, 45.28it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:03, 50.20it/s]
Loading 0:  50%|████▉     | 145/291 [00:03<00:03, 47.62it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:03, 46.95it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:02, 51.86it/s]
Loading 0:  56%|█████▌    | 163/291 [00:03<00:02, 48.51it/s]
Loading 0:  58%|█████▊    | 168/291 [00:03<00:02, 47.31it/s]
Loading 0:  60%|██████    | 175/291 [00:03<00:02, 53.19it/s]
Loading 0:  62%|██████▏   | 181/291 [00:03<00:02, 45.59it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:02, 36.26it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 37.61it/s]
Loading 0:  68%|██████▊   | 197/291 [00:04<00:02, 39.58it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 41.77it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:01, 41.73it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 41.85it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 48.20it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 46.31it/s]
Loading 0:  79%|███████▉  | 231/291 [00:04<00:01, 45.15it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 50.87it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:00, 48.48it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 47.51it/s]
Loading 0:  88%|████████▊ | 256/291 [00:05<00:00, 52.58it/s]
Loading 0:  90%|█████████ | 262/291 [00:05<00:00, 47.81it/s]
Loading 0:  92%|█████████▏| 267/291 [00:05<00:00, 46.35it/s]
Loading 0:  94%|█████████▍| 274/291 [00:05<00:00, 50.60it/s]
Loading 0:  96%|█████████▌| 280/291 [00:05<00:00, 48.27it/s]
Loading 0:  98%|█████████▊| 285/291 [00:06<00:00, 47.82it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00,  3.29it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c2-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c2-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-e-v3-c2-v1-mkmlizer:   warnings.warn(
Job cycy233-l3-e-v3-c1-v1-mkmlizer completed after 106.03s with status: succeeded
Stopping job with name cycy233-l3-e-v3-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.20s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-c1-v1
Waiting for inference service cycy233-l3-e-v3-c1-v1 to be ready
cycy233-l3-e-v3-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-c2-v1-mkmlizer: Saving duration: 1.397s
cycy233-l3-e-v3-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.066s
cycy233-l3-e-v3-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/config.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/merges.txt
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/vocab.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/tokenizer.json
cycy233-l3-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v3-c2-v1_reward/reward.tensors
Job cycy233-l3-e-v3-c2-v1-mkmlizer completed after 106.87s with status: succeeded
Stopping job with name cycy233-l3-e-v3-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-c2-v1
Waiting for inference service cycy233-l3-e-v3-c2-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cycy233-l3-e-v3-c1-v1 ready after 131.26442122459412s
Pipeline stage ISVCDeployer completed in 133.37s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.235844612121582s
Received healthy response to inference request in 1.4694647789001465s
Received healthy response to inference request in 1.4850654602050781s
Received healthy response to inference request in 1.4213390350341797s
Received healthy response to inference request in 1.5026118755340576s
5 requests
0 failed requests
5th percentile: 1.430964183807373
10th percentile: 1.4405893325805663
20th percentile: 1.4598396301269532
30th percentile: 1.4725849151611328
40th percentile: 1.4788251876831056
50th percentile: 1.4850654602050781
60th percentile: 1.49208402633667
70th percentile: 1.4991025924682617
80th percentile: 1.6492584228515625
90th percentile: 1.9425515174865724
95th percentile: 2.089198064804077
99th percentile: 2.206515302658081
mean time: 1.6228651523590087
Pipeline stage StressChecker completed in 9.90s
cycy233-l3-e-v3-c1_v1 status is now deployed due to DeploymentManager action
cycy233-l3-e-v3-c1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-e-v3-c1_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-e-v3-c1-v1 is running
Tearing down inference service cycy233-l3-e-v3-c1-v1
Service cycy233-l3-e-v3-c1-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.97s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c1-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.82s
cycy233-l3-e-v3-c1_v1 status is now torndown due to DeploymentManager action