developer_uid: shiroe40
submission_id: cycy233-l3-e-v3-c8_v1
model_name: auto
model_group: cycy233/L3-e-v3-c8
status: torndown
timestamp: 2024-07-31T02:31:39+00:00
num_battles: 10602
num_wins: 5954
celo_rating: 1264.24
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-e-v3-c8
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-c8
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-30
win_ratio: 0.5615921524240709
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-c8-v1-mkmlizer
Waiting for job on cycy233-l3-e-v3-c8-v1-mkmlizer to finish
cycy233-l3-e-v3-c8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ /___/ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ Version: 0.9.7 ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ║ ║
cycy233-l3-e-v3-c8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v3-7-v1-mkmlizer: Downloaded to shared memory in 36.269s
cycy233-l3-e-v3-7-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpef1ruipx, device:0
cycy233-l3-e-v3-7-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v3-c8-v1-mkmlizer: Downloaded to shared memory in 39.657s
cycy233-l3-e-v3-c8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpobmatu69, device:0
cycy233-l3-e-v3-c8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v3-7-v1-mkmlizer: quantized model in 26.847s
cycy233-l3-e-v3-7-v1-mkmlizer: Processed model cycy233/L3-e-v3-7 in 63.117s
cycy233-l3-e-v3-7-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-7-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-7-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-7-v1
cycy233-l3-e-v3-7-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v3-7-v1/flywheel_model.0.safetensors
cycy233-l3-e-v3-7-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-7-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:07, 35.80it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 56.88it/s] Loading 0: 7%|▋ | 19/291 [00:00<00:05, 48.88it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:05, 50.94it/s] Loading 0: 11%|█ | 31/291 [00:00<00:04, 52.98it/s] Loading 0: 13%|█▎ | 37/291 [00:00<00:05, 48.38it/s] Loading 0: 14%|█▍ | 42/291 [00:00<00:05, 47.84it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:04, 53.67it/s] Loading 0: 19%|█▉ | 55/291 [00:01<00:04, 49.17it/s] Loading 0: 21%|██ | 61/291 [00:01<00:04, 49.76it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:04, 51.92it/s] Loading 0: 25%|██▌ | 73/291 [00:01<00:04, 47.02it/s] Loading 0: 27%|██▋ | 78/291 [00:01<00:04, 46.05it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:06, 33.30it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:06, 33.68it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:04, 40.40it/s] Loading 0: 34%|███▍ | 100/291 [00:02<00:04, 39.54it/s] Loading 0: 36%|███▌ | 105/291 [00:02<00:04, 40.69it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 46.31it/s] Loading 0: 41%|████ | 118/291 [00:02<00:04, 42.88it/s] Loading 0: 42%|████▏ | 123/291 [00:02<00:04, 41.52it/s] Loading 0: 44%|████▍ | 129/291 [00:02<00:03, 43.74it/s] Loading 0: 46%|████▌ | 134/291 [00:03<00:03, 41.29it/s] Loading 0: 48%|████▊ | 139/291 [00:03<00:03, 40.98it/s] Loading 0: 49%|████▉ | 144/291 [00:03<00:03, 42.39it/s] Loading 0: 51%|█████ | 149/291 [00:03<00:04, 35.15it/s] Loading 0: 54%|█████▎ | 156/291 [00:03<00:03, 40.98it/s] Loading 0: 55%|█████▌ | 161/291 [00:03<00:03, 40.87it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:03, 39.98it/s] Loading 0: 59%|█████▉ | 171/291 [00:03<00:02, 42.35it/s] Loading 0: 60%|██████ | 176/291 [00:04<00:02, 44.24it/s] Loading 0: 62%|██████▏ | 181/291 [00:04<00:03, 36.50it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:03, 30.89it/s] Loading 0: 66%|██████▌ | 192/291 [00:04<00:02, 33.46it/s] Loading 0: 68%|██████▊ | 197/291 [00:04<00:02, 36.62it/s] Loading 0: 70%|██████▉ | 203/291 [00:04<00:02, 35.70it/s] Loading 0: 72%|███████▏ | 210/291 [00:04<00:01, 43.05it/s] Loading 0: 74%|███████▍ | 215/291 [00:05<00:01, 43.99it/s] Loading 0: 76%|███████▌ | 220/291 [00:05<00:01, 45.46it/s] Loading 0: 78%|███████▊ | 226/291 [00:05<00:01, 42.78it/s] Loading 0: 79%|███████▉ | 231/291 [00:05<00:01, 42.38it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 47.68it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:01, 44.69it/s] Loading 0: 86%|████████▌ | 249/291 [00:05<00:00, 43.90it/s] Loading 0: 88%|████████▊ | 255/291 [00:05<00:00, 47.54it/s] Loading 0: 89%|████████▉ | 260/291 [00:06<00:00, 47.52it/s] Loading 0: 91%|█████████ | 265/291 [00:06<00:00, 47.55it/s] Loading 0: 93%|█████████▎| 271/291 [00:06<00:00, 44.07it/s] Loading 0: 95%|█████████▍| 276/291 [00:06<00:00, 43.77it/s] Loading 0: 97%|█████████▋| 282/291 [00:06<00:00, 40.00it/s] Loading 0: 99%|█████████▊| 287/291 [00:12<00:01, 3.13it/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-v3-7-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-7-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-v3-7-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-7-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-v3-7-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-c8-v1-mkmlizer: quantized model in 26.869s
cycy233-l3-e-v3-c8-v1-mkmlizer: Processed model cycy233/L3-e-v3-c8 in 66.526s
cycy233-l3-e-v3-c8-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-7-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-7-v1-mkmlizer: Saving duration: 1.408s
cycy233-l3-e-v3-7-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 12.036s
cycy233-l3-e-v3-7-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-7-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-7-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward
cycy233-l3-e-v3-7-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward/config.json
cycy233-l3-e-v3-7-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-7-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-7-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward/merges.txt
cycy233-l3-e-v3-c8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-c8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1/config.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1/special_tokens_map.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1/tokenizer_config.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1/tokenizer.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v3-c8-v1/flywheel_model.0.safetensors
cycy233-l3-e-v3-7-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v3-7-v1_reward/reward.tensors
Job cycy233-l3-e-v3-7-v1-mkmlizer completed after 106.29s with status: succeeded
Stopping job with name cycy233-l3-e-v3-7-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.22s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.16s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-7-v1
Waiting for inference service cycy233-l3-e-v3-7-v1 to be ready
cycy233-l3-e-v3-c8-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-c8-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:07, 36.30it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:05, 47.40it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:05, 50.09it/s] Loading 0: 11%|█ | 32/291 [00:00<00:05, 50.62it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:04, 51.54it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:04, 52.54it/s] Loading 0: 20%|█▉ | 58/291 [00:01<00:03, 58.25it/s] Loading 0: 22%|██▏ | 65/291 [00:01<00:04, 56.35it/s] Loading 0: 24%|██▍ | 71/291 [00:01<00:03, 55.31it/s] Loading 0: 26%|██▋ | 77/291 [00:01<00:04, 49.33it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:05, 38.85it/s] Loading 0: 30%|███ | 88/291 [00:01<00:05, 39.25it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 42.87it/s] Loading 0: 34%|███▍ | 100/291 [00:02<00:04, 41.80it/s] Loading 0: 36%|███▌ | 105/291 [00:02<00:04, 42.31it/s] Loading 0: 38%|███▊ | 111/291 [00:02<00:03, 45.84it/s] Loading 0: 40%|███▉ | 116/291 [00:02<00:03, 45.40it/s] Loading 0: 42%|████▏ | 122/291 [00:02<00:04, 42.09it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:03, 49.92it/s] Loading 0: 47%|████▋ | 136/291 [00:02<00:03, 47.54it/s] Loading 0: 48%|████▊ | 141/291 [00:02<00:03, 46.99it/s] Loading 0: 51%|█████ | 148/291 [00:03<00:02, 51.54it/s] Loading 0: 53%|█████▎ | 154/291 [00:03<00:02, 47.70it/s] Loading 0: 55%|█████▍ | 159/291 [00:03<00:02, 46.24it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:02, 51.13it/s] Loading 0: 59%|█████▉ | 172/291 [00:03<00:02, 46.10it/s] Loading 0: 62%|██████▏ | 179/291 [00:03<00:02, 49.50it/s] Loading 0: 64%|██████▎ | 185/291 [00:03<00:02, 50.66it/s] Loading 0: 66%|██████▌ | 191/291 [00:04<00:02, 34.24it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:02, 36.42it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:02, 41.38it/s] Loading 0: 71%|███████▏ | 208/291 [00:04<00:01, 41.75it/s] Loading 0: 73%|███████▎ | 213/291 [00:04<00:01, 42.89it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 48.40it/s] Loading 0: 78%|███████▊ | 226/291 [00:04<00:01, 45.97it/s] Loading 0: 79%|███████▉ | 231/291 [00:05<00:01, 45.34it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 50.74it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:00, 48.29it/s] Loading 0: 86%|████████▌ | 249/291 [00:05<00:00, 46.65it/s] Loading 0: 88%|████████▊ | 255/291 [00:05<00:00, 49.42it/s] Loading 0: 90%|████████▉ | 261/291 [00:05<00:00, 51.06it/s] Loading 0: 92%|█████████▏| 267/291 [00:05<00:00, 44.76it/s] Loading 0: 94%|█████████▍| 273/291 [00:05<00:00, 48.10it/s] Loading 0: 96%|█████████▌| 279/291 [00:05<00:00, 49.17it/s] Loading 0: 98%|█████████▊| 285/291 [00:06<00:00, 41.25it/s] Loading 0: 100%|█████████▉| 290/291 [00:11<00:00, 3.16it/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-c8-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-c8-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-c8-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-c8-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-c8-v1-mkmlizer: warnings.warn(
cycy233-l3-e-v3-c8-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-c8-v1-mkmlizer: Saving duration: 1.331s
cycy233-l3-e-v3-c8-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.941s
cycy233-l3-e-v3-c8-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-c8-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-c8-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/config.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/merges.txt
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/vocab.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/tokenizer.json
cycy233-l3-e-v3-c8-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v3-c8-v1_reward/reward.tensors
Job cycy233-l3-e-v3-c8-v1-mkmlizer completed after 117.52s with status: succeeded
Stopping job with name cycy233-l3-e-v3-c8-v1-mkmlizer
Pipeline stage MKMLizer completed in 118.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-c8-v1
Waiting for inference service cycy233-l3-e-v3-c8-v1 to be ready
Inference service cycy233-l3-e-v3-7-v1 ready after 131.04205322265625s
Pipeline stage ISVCDeployer completed in 132.72s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1961581707000732s
Received healthy response to inference request in 1.4915072917938232s
Received healthy response to inference request in 1.4254982471466064s
Received healthy response to inference request in 1.4289014339447021s
Received healthy response to inference request in 1.4994409084320068s
5 requests
0 failed requests
5th percentile: 1.4261788845062255
10th percentile: 1.4268595218658446
20th percentile: 1.428220796585083
30th percentile: 1.4414226055145263
40th percentile: 1.4664649486541748
50th percentile: 1.4915072917938232
60th percentile: 1.4946807384490968
70th percentile: 1.49785418510437
80th percentile: 1.6387843608856203
90th percentile: 1.9174712657928468
95th percentile: 2.05681471824646
99th percentile: 2.1682894802093506
mean time: 1.6083012104034424
Pipeline stage StressChecker completed in 9.73s
cycy233-l3-e-v3-7_v1 status is now deployed due to DeploymentManager action
Inference service cycy233-l3-e-v3-c8-v1 ready after 121.21551299095154s
Pipeline stage ISVCDeployer completed in 122.02s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.131685495376587s
Received healthy response to inference request in 1.4885060787200928s
Received healthy response to inference request in 1.4566843509674072s
Received healthy response to inference request in 1.42230224609375s
Received healthy response to inference request in 1.4942753314971924s
5 requests
0 failed requests
5th percentile: 1.4291786670684814
10th percentile: 1.4360550880432128
20th percentile: 1.4498079299926758
30th percentile: 1.4630486965179443
40th percentile: 1.4757773876190186
50th percentile: 1.4885060787200928
60th percentile: 1.4908137798309327
70th percentile: 1.4931214809417725
80th percentile: 1.6217573642730714
90th percentile: 1.8767214298248291
95th percentile: 2.004203462600708
99th percentile: 2.106189088821411
mean time: 1.5986907005310058
Pipeline stage StressChecker completed in 8.93s
cycy233-l3-e-v3-c8_v1 status is now deployed due to DeploymentManager action
cycy233-l3-e-v3-c8_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-e-v3-c8_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-e-v3-c8-v1 is running
Tearing down inference service cycy233-l3-e-v3-c8-v1
Service cycy233-l3-e-v3-c8-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.86s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c8-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c8-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c8-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c8-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c8-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c8-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c8-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.77s
cycy233-l3-e-v3-c8_v1 status is now torndown due to DeploymentManager action