developer_uid: shiroe40
submission_id: cycy233-l3-s-a-v1-c4_v1
model_name: auto
model_group: cycy233/L3-s-a-v1-c4
status: torndown
timestamp: 2024-08-08T14:46:20+00:00
num_battles: 13146
num_wins: 7189
celo_rating: 1260.79
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-s-a-v1-c4
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-s-a-v1-c4
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-08
win_ratio: 0.5468583599574015
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-s-a-v1-c4-v1-mkmlizer
Waiting for job on cycy233-l3-s-a-v1-c4-v1-mkmlizer to finish
Stopping job with name cycy233-l3-s-a-v1-c4-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name cycy233-l3-s-a-v1-c4-v1-mkmlizer
Waiting for job on cycy233-l3-s-a-v1-c4-v1-mkmlizer to finish
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ /___/ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ║ ║
cycy233-l3-s-a-v1-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Downloaded to shared memory in 31.363s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm6ujvn1t, device:0
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: quantized model in 26.732s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Processed model cycy233/L3-s-a-v1-c4 in 58.095s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-s-a-v1-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1/config.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1/special_tokens_map.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1/tokenizer_config.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1/tokenizer.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-s-a-v1-c4-v1/flywheel_model.0.safetensors
cycy233-l3-s-a-v1-c4-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:07, 36.78it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 57.95it/s] Loading 0: 7%|▋ | 20/291 [00:00<00:05, 50.22it/s] Loading 0: 9%|▉ | 26/291 [00:00<00:05, 50.04it/s] Loading 0: 11%|█ | 32/291 [00:00<00:05, 43.36it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:05, 46.60it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:04, 54.52it/s] Loading 0: 19%|█▉ | 55/291 [00:01<00:04, 50.56it/s] Loading 0: 21%|██ | 61/291 [00:01<00:04, 50.56it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:04, 51.55it/s] Loading 0: 25%|██▌ | 73/291 [00:01<00:04, 47.64it/s] Loading 0: 27%|██▋ | 78/291 [00:01<00:04, 47.19it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:05, 34.93it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:05, 35.07it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:04, 42.07it/s] Loading 0: 34%|███▍ | 100/291 [00:02<00:04, 41.70it/s] Loading 0: 36%|███▌ | 105/291 [00:02<00:04, 41.99it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 48.06it/s] Loading 0: 41%|████ | 118/291 [00:02<00:03, 44.68it/s] Loading 0: 42%|████▏ | 123/291 [00:02<00:03, 43.50it/s] Loading 0: 44%|████▍ | 129/291 [00:02<00:03, 47.29it/s] Loading 0: 46%|████▌ | 134/291 [00:02<00:03, 47.44it/s] Loading 0: 48%|████▊ | 139/291 [00:03<00:03, 45.87it/s] Loading 0: 50%|████▉ | 145/291 [00:03<00:03, 42.52it/s] Loading 0: 52%|█████▏ | 150/291 [00:03<00:03, 41.95it/s] Loading 0: 54%|█████▍ | 157/291 [00:03<00:02, 47.86it/s] Loading 0: 56%|█████▌ | 163/291 [00:03<00:02, 46.09it/s] Loading 0: 58%|█████▊ | 168/291 [00:03<00:02, 45.41it/s] Loading 0: 59%|█████▉ | 173/291 [00:03<00:02, 46.38it/s] Loading 0: 62%|██████▏ | 180/291 [00:03<00:02, 50.92it/s] Loading 0: 64%|██████▍ | 186/291 [00:04<00:02, 47.81it/s] Loading 0: 66%|██████▌ | 191/291 [00:04<00:03, 32.10it/s] Loading 0: 67%|██████▋ | 195/291 [00:04<00:03, 31.71it/s] Loading 0: 69%|██████▉ | 201/291 [00:04<00:02, 37.51it/s] Loading 0: 71%|███████ | 206/291 [00:04<00:02, 39.11it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:01, 40.05it/s] Loading 0: 75%|███████▍ | 217/291 [00:04<00:01, 39.33it/s] Loading 0: 76%|███████▋ | 222/291 [00:05<00:01, 39.84it/s] Loading 0: 78%|███████▊ | 228/291 [00:05<00:01, 43.69it/s] Loading 0: 80%|████████ | 233/291 [00:05<00:01, 44.31it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 44.20it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:01, 42.16it/s] Loading 0: 86%|████████▌ | 249/291 [00:05<00:01, 40.76it/s] Loading 0: 88%|████████▊ | 255/291 [00:05<00:00, 45.18it/s] Loading 0: 89%|████████▉ | 260/291 [00:05<00:00, 44.68it/s] Loading 0: 91%|█████████ | 265/291 [00:06<00:00, 44.45it/s] Loading 0: 93%|█████████▎| 271/291 [00:06<00:00, 40.85it/s] Loading 0: 95%|█████████▍| 276/291 [00:06<00:00, 40.42it/s] Loading 0: 97%|█████████▋| 281/291 [00:06<00:00, 41.12it/s] Loading 0: 98%|█████████▊| 286/291 [00:06<00:00, 37.68it/s] Loading 0: 100%|█████████▉| 290/291 [00:12<00:00, 2.81it/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-s-a-v1-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-s-a-v1-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-s-a-v1-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-s-a-v1-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-s-a-v1-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Saving duration: 1.438s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.844s
cycy233-l3-s-a-v1-c4-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-s-a-v1-c4-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-s-a-v1-c4-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/config.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/special_tokens_map.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/tokenizer_config.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/merges.txt
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/vocab.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/tokenizer.json
cycy233-l3-s-a-v1-c4-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-s-a-v1-c4-v1_reward/reward.tensors
Job cycy233-l3-s-a-v1-c4-v1-mkmlizer completed after 140.65s with status: succeeded
Stopping job with name cycy233-l3-s-a-v1-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 142.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-s-a-v1-c4-v1
Waiting for inference service cycy233-l3-s-a-v1-c4-v1 to be ready
Inference service cycy233-l3-s-a-v1-c4-v1 ready after 201.41306114196777s
Pipeline stage ISVCDeployer completed in 202.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.30011248588562s
Received healthy response to inference request in 1.4892809391021729s
Received healthy response to inference request in 1.4834554195404053s
Received healthy response to inference request in 1.45050048828125s
Received healthy response to inference request in 1.4684460163116455s
5 requests
0 failed requests
5th percentile: 1.454089593887329
10th percentile: 1.4576786994934081
20th percentile: 1.4648569107055665
30th percentile: 1.4714478969573974
40th percentile: 1.4774516582489015
50th percentile: 1.4834554195404053
60th percentile: 1.4857856273651122
70th percentile: 1.4881158351898194
80th percentile: 1.6514472484588625
90th percentile: 1.9757798671722413
95th percentile: 2.1379461765289305
99th percentile: 2.267679224014282
mean time: 1.6383590698242188
Pipeline stage StressChecker completed in 8.86s
cycy233-l3-s-a-v1-c4_v1 status is now deployed due to DeploymentManager action
cycy233-l3-s-a-v1-c4_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-s-a-v1-c4_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-s-a-v1-c4-v1 is running
Tearing down inference service cycy233-l3-s-a-v1-c4-v1
Service cycy233-l3-s-a-v1-c4-v1 has been torndown
Pipeline stage ISVCDeleter completed in 6.70s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-s-a-v1-c4-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-s-a-v1-c4-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-s-a-v1-c4-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-s-a-v1-c4-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-s-a-v1-c4-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-s-a-v1-c4-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.98s
cycy233-l3-s-a-v1-c4_v1 status is now torndown due to DeploymentManager action