cycy233-l3-e-v3-c4

submission_id: cycy233-l3-e-v3-c4_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1259.29

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-c4

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-e-v3-c4

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-e-v3-c4

model_size: 8B

num_battles: 10430

num_wins: 5779

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: 2024-07-31T02:30:38+00:00

us_pacific_date: 2024-07-30

win_ratio: 0.5540747842761266

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-e-v3-c4-v1-mkmlizer
Waiting for job on cycy233-l3-e-v3-c4-v1-mkmlizer to finish
cycy233-l3-e-v3-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v3-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-e-v3-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v3-c4-v1-mkmlizer: Downloaded to shared memory in 37.467s
cycy233-l3-e-v3-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa40_c891, device:0
cycy233-l3-e-v3-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v3-c4-v1-mkmlizer: quantized model in 25.694s
cycy233-l3-e-v3-c4-v1-mkmlizer: Processed model cycy233/L3-e-v3-c4 in 63.161s
cycy233-l3-e-v3-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v3-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v3-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1/config.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1/special_tokens_map.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1/tokenizer_config.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1/tokenizer.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v3-c4-v1/flywheel_model.0.safetensors
cycy233-l3-e-v3-c4-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-e-v3-c4-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:08, 34.72it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 57.01it/s]
Loading 0:   7%|▋         | 20/291 [00:00<00:04, 54.99it/s]
Loading 0:   9%|▉         | 26/291 [00:00<00:04, 53.37it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 43.85it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:04, 53.27it/s]
Loading 0:  16%|█▌        | 46/291 [00:00<00:04, 50.19it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:04, 52.53it/s]
Loading 0:  20%|██        | 59/291 [00:01<00:04, 48.08it/s]
Loading 0:  23%|██▎       | 68/291 [00:01<00:04, 50.26it/s]
Loading 0:  26%|██▋       | 77/291 [00:01<00:04, 50.76it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:05, 40.30it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 40.17it/s]
Loading 0:  33%|███▎      | 95/291 [00:02<00:04, 40.41it/s]
Loading 0:  36%|███▌      | 104/291 [00:02<00:04, 44.98it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 52.12it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 49.67it/s]
Loading 0:  43%|████▎     | 124/291 [00:02<00:03, 50.79it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 51.80it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 48.09it/s]
Loading 0:  48%|████▊     | 141/291 [00:02<00:03, 46.23it/s]
Loading 0:  51%|█████     | 147/291 [00:03<00:02, 49.25it/s]
Loading 0:  53%|█████▎    | 153/291 [00:03<00:02, 48.46it/s]
Loading 0:  54%|█████▍    | 158/291 [00:03<00:03, 40.93it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 48.55it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 43.87it/s]
Loading 0:  61%|██████    | 177/291 [00:03<00:02, 44.57it/s]
Loading 0:  63%|██████▎   | 182/291 [00:03<00:02, 43.57it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:03, 34.20it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:02, 35.39it/s]
Loading 0:  67%|██████▋   | 195/291 [00:04<00:02, 34.64it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 41.95it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 40.10it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 40.40it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 47.10it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 46.38it/s]
Loading 0:  79%|███████▉  | 231/291 [00:05<00:01, 45.68it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 51.39it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:00, 50.00it/s]
Loading 0:  86%|████████▌ | 250/291 [00:05<00:00, 49.20it/s]
Loading 0:  88%|████████▊ | 257/291 [00:05<00:00, 45.67it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 52.35it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 49.94it/s]
Loading 0:  95%|█████████▌| 277/291 [00:05<00:00, 51.06it/s]
Loading 0:  97%|█████████▋| 283/291 [00:06<00:00, 46.82it/s]
Loading 0:  99%|█████████▉| 288/291 [00:11<00:00,  3.50it/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-c4-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c4-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-c4-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c4-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-c4-v1-mkmlizer:   warnings.warn(
cycy233-l3-e-v3-c4-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v3-c4-v1-mkmlizer: Saving duration: 1.460s
cycy233-l3-e-v3-c4-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.811s
cycy233-l3-e-v3-c4-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v3-c4-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v3-c4-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/config.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/tokenizer_config.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/special_tokens_map.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/merges.txt
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/vocab.json
cycy233-l3-e-v3-c4-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v3-c4-v1_reward/reward.tensors
Job cycy233-l3-e-v3-c4-v1-mkmlizer completed after 115.7s with status: succeeded
Stopping job with name cycy233-l3-e-v3-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.57s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v3-c4-v1
Waiting for inference service cycy233-l3-e-v3-c4-v1 to be ready
Inference service cycy233-l3-e-v3-c4-v1 ready after 121.26428699493408s
Pipeline stage ISVCDeployer completed in 123.09s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1519832611083984s
Received healthy response to inference request in 1.452883243560791s
Received healthy response to inference request in 1.6011219024658203s
Received healthy response to inference request in 1.4114251136779785s
Received healthy response to inference request in 1.4743976593017578s
5 requests
0 failed requests
5th percentile: 1.419716739654541
10th percentile: 1.4280083656311036
20th percentile: 1.4445916175842286
30th percentile: 1.4571861267089843
40th percentile: 1.465791893005371
50th percentile: 1.4743976593017578
60th percentile: 1.5250873565673828
70th percentile: 1.5757770538330078
80th percentile: 1.711294174194336
90th percentile: 1.9316387176513672
95th percentile: 2.041810989379883
99th percentile: 2.1299488067626955
mean time: 1.6183622360229493
Pipeline stage StressChecker completed in 8.74s
cycy233-l3-e-v3-c4_v1 status is now deployed due to DeploymentManager action
cycy233-l3-e-v3-c4_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-e-v3-c4_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-e-v3-c4-v1 is running
Tearing down inference service cycy233-l3-e-v3-c4-v1
Service cycy233-l3-e-v3-c4-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.83s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c4-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c4-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c4-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c4-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v3-c4-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-e-v3-c4-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v3-c4-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.32s
cycy233-l3-e-v3-c4_v1 status is now torndown due to DeploymentManager action