cycy233-l3-e-v3-c3

submission_id: cycy233-l3-e-v3-c3_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1254.16

display_name: auto

family_friendly_score: 0.0

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}

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}

is_internal_developer: False

language_model: cycy233/L3-e-v3-c3

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-e-v3-c3

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-e-v3-c3

model_size: 8B

num_battles: 10179

num_wins: 5550

ranking_group: single

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'}

reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634

status: torndown

submission_type: basic

timestamp: 2024-07-31T02:30:23+00:00

us_pacific_date: 2024-07-30

win_ratio: 0.5452402004126142

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-e-v3-c3-v1-mkmlizer
Waiting for job on cycy233-l3-e-v3-c3-v1-mkmlizer to finish
cycy233-l3-e-v3-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v3-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v3-c3-v1-mkmlizer: Downloaded to shared memory in 37.609s
cycy233-l3-e-v3-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcpj11cz1, device:0
cycy233-l3-e-v3-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v3-c3-v1-mkmlizer: quantized model in 26.058s
cycy233-l3-e-v3-c3-v1-mkmlizer: Processed model cycy233/L3-e-v3-c3 in 63.667s
cycy233-l3-e-v3-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1/config.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1/special_tokens_map.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1/tokenizer_config.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1/tokenizer.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v3-c3-v1/flywheel_model.0.safetensors
cycy233-l3-e-v3-c3-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-c3-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 35.97it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 57.96it/s]
Loading 0:   7%|▋         | 20/291 [00:00<00:05, 53.88it/s]
Loading 0:   9%|▉         | 26/291 [00:00<00:04, 53.15it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 45.68it/s]
Loading 0:  13%|█▎        | 39/291 [00:00<00:04, 52.07it/s]
Loading 0:  15%|█▌        | 45/291 [00:00<00:04, 52.95it/s]
Loading 0:  18%|█▊        | 51/291 [00:01<00:05, 46.29it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 51.94it/s]
Loading 0:  22%|██▏       | 64/291 [00:01<00:04, 48.56it/s]
Loading 0:  24%|██▍       | 70/291 [00:01<00:04, 49.61it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:04, 51.91it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 48.25it/s]
Loading 0:  30%|██▉       | 87/291 [00:01<00:06, 30.64it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:05, 37.49it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:04, 38.92it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 40.32it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 46.23it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 44.84it/s]
Loading 0:  42%|████▏     | 123/291 [00:02<00:03, 44.26it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 49.49it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 47.30it/s]
Loading 0:  48%|████▊     | 141/291 [00:03<00:03, 45.37it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:02, 50.53it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 46.41it/s]
Loading 0:  55%|█████▍    | 159/291 [00:03<00:02, 45.45it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 49.63it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 46.73it/s]
Loading 0:  62%|██████▏   | 179/291 [00:03<00:02, 50.76it/s]
Loading 0:  64%|██████▎   | 185/291 [00:03<00:02, 52.33it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:03, 33.20it/s]
Loading 0:  67%|██████▋   | 196/291 [00:04<00:02, 34.85it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 39.43it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 40.48it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 41.78it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 47.42it/s]
Loading 0:  78%|███████▊  | 226/291 [00:05<00:01, 45.75it/s]
Loading 0:  79%|███████▉  | 231/291 [00:05<00:01, 45.76it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 50.39it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:01, 46.40it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 45.77it/s]
Loading 0:  88%|████████▊ | 255/291 [00:05<00:00, 49.16it/s]
Loading 0:  90%|████████▉ | 261/291 [00:05<00:00, 51.16it/s]
Loading 0:  92%|█████████▏| 267/291 [00:05<00:00, 45.28it/s]
Loading 0:  94%|█████████▍| 274/291 [00:05<00:00, 50.24it/s]
Loading 0:  96%|█████████▌| 280/291 [00:06<00:00, 47.50it/s]
Loading 0:  98%|█████████▊| 285/291 [00:06<00:00, 46.41it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00,  3.28it/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-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c3-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-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c3-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-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-c3-v1-mkmlizer: Saving duration: 1.387s
cycy233-l3-e-v3-c3-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.989s
cycy233-l3-e-v3-c3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-c3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-c3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/config.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/merges.txt
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/vocab.json
cycy233-l3-e-v3-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-e-v3-c3-v1_reward/tokenizer.json
Job cycy233-l3-e-v3-c3-v1-mkmlizer completed after 105.15s with status: succeeded
Stopping job with name cycy233-l3-e-v3-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.37s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-c3-v1
Waiting for inference service cycy233-l3-e-v3-c3-v1 to be ready
Inference service cycy233-l3-e-v3-c3-v1 ready after 131.11587572097778s
Pipeline stage ISVCDeployer completed in 132.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2114615440368652s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 1.4704082012176514s
Received healthy response to inference request in 1.4352452754974365s
Received healthy response to inference request in 1.4181456565856934s
Received healthy response to inference request in 1.4805083274841309s
5 requests
0 failed requests
5th percentile: 1.421565580368042
10th percentile: 1.4249855041503907
20th percentile: 1.4318253517150878
30th percentile: 1.4422778606414794
40th percentile: 1.4563430309295655
50th percentile: 1.4704082012176514
60th percentile: 1.4744482517242432
70th percentile: 1.478488302230835
80th percentile: 1.626698970794678
90th percentile: 1.9190802574157715
95th percentile: 2.0652709007263184
99th percentile: 2.182223415374756
mean time: 1.6031538009643556
Pipeline stage StressChecker completed in 8.81s
cycy233-l3-e-v3-c3_v1 status is now deployed due to DeploymentManager action
cycy233-l3-e-v3-c3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-e-v3-c3_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-e-v3-c3-v1 is running
Tearing down inference service cycy233-l3-e-v3-c3-v1
Service cycy233-l3-e-v3-c3-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.59s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c3-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c3-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.18s
cycy233-l3-e-v3-c3_v1 status is now torndown due to DeploymentManager action