submission_id: cycy233-l3-ba-e-v1-c4_v2
developer_uid: shiroe40
alignment_samples: 0
best_of: 16
celo_rating: 1256.83
display_name: auto
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: False
language_model: cycy233/L3-ba-e-v1-c4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ba-e-v1-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ba-e-v1-c4
model_size: 8B
num_battles: 10564
num_wins: 6343
propriety_score: 0.6882546652030735
propriety_total_count: 911.0
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: 2024-07-26T06:37:58+00:00
us_pacific_date: 2024-07-25
win_ratio: 0.6004354411207876
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v1-c4-v2-mkmlizer
Waiting for job on cycy233-l3-ba-e-v1-c4-v2-mkmlizer to finish
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ /___/ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ Version: 0.9.7 ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ║ ║
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Downloaded to shared memory in 26.448s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz1gah1vb, device:0
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: quantized model in 26.905s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Processed model cycy233/L3-ba-e-v1-c4 in 53.353s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2/config.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2/special_tokens_map.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2/tokenizer_config.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2/tokenizer.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v1-c4-v2/flywheel_model.0.safetensors
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:08, 35.05it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 56.53it/s] Loading 0: 7%|▋ | 19/291 [00:00<00:05, 46.41it/s] Loading 0: 8%|▊ | 24/291 [00:00<00:06, 43.82it/s] Loading 0: 11%|█ | 31/291 [00:00<00:05, 51.00it/s] Loading 0: 13%|█▎ | 37/291 [00:00<00:05, 47.76it/s] Loading 0: 14%|█▍ | 42/291 [00:00<00:05, 45.75it/s] Loading 0: 17%|█▋ | 49/291 [00:01<00:04, 51.23it/s] Loading 0: 19%|█▉ | 55/291 [00:01<00:05, 46.17it/s] Loading 0: 21%|██ | 60/291 [00:01<00:05, 44.56it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:04, 49.37it/s] Loading 0: 25%|██▌ | 73/291 [00:01<00:04, 44.55it/s] Loading 0: 27%|██▋ | 78/291 [00:01<00:04, 42.65it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:06, 30.84it/s] Loading 0: 30%|██▉ | 87/291 [00:02<00:06, 30.78it/s] Loading 0: 32%|███▏ | 93/291 [00:02<00:05, 36.66it/s] Loading 0: 34%|███▎ | 98/291 [00:02<00:05, 38.45it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:04, 40.21it/s] Loading 0: 37%|███▋ | 109/291 [00:02<00:04, 40.00it/s] Loading 0: 39%|███▉ | 114/291 [00:02<00:04, 39.60it/s] Loading 0: 41%|████ | 120/291 [00:02<00:03, 43.96it/s] Loading 0: 43%|████▎ | 125/291 [00:02<00:03, 43.50it/s] Loading 0: 45%|████▍ | 130/291 [00:03<00:03, 42.72it/s] Loading 0: 46%|████▋ | 135/291 [00:03<00:03, 44.29it/s] Loading 0: 48%|████▊ | 140/291 [00:03<00:04, 37.61it/s] Loading 0: 51%|█████ | 148/291 [00:03<00:03, 46.44it/s] Loading 0: 53%|█████▎ | 154/291 [00:03<00:03, 42.62it/s] Loading 0: 55%|█████▍ | 159/291 [00:03<00:03, 42.05it/s] Loading 0: 57%|█████▋ | 165/291 [00:03<00:02, 46.13it/s] Loading 0: 58%|█████▊ | 170/291 [00:03<00:02, 45.25it/s] Loading 0: 60%|██████ | 176/291 [00:04<00:02, 48.78it/s] Loading 0: 63%|██████▎ | 182/291 [00:04<00:02, 41.18it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:03, 31.31it/s] Loading 0: 66%|██████▌ | 191/291 [00:04<00:03, 32.50it/s] Loading 0: 67%|██████▋ | 195/291 [00:04<00:03, 31.83it/s] Loading 0: 69%|██████▉ | 201/291 [00:04<00:02, 37.76it/s] Loading 0: 71%|███████ | 206/291 [00:04<00:02, 39.69it/s] Loading 0: 73%|███████▎ | 211/291 [00:05<00:01, 41.84it/s] Loading 0: 75%|███████▍ | 217/291 [00:05<00:01, 40.90it/s] Loading 0: 76%|███████▋ | 222/291 [00:05<00:01, 40.12it/s] Loading 0: 78%|███████▊ | 228/291 [00:05<00:01, 44.76it/s] Loading 0: 80%|████████ | 233/291 [00:05<00:01, 43.08it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 44.22it/s] Loading 0: 84%|████████▎ | 243/291 [00:05<00:01, 45.56it/s] Loading 0: 85%|████████▌ | 248/291 [00:06<00:01, 37.62it/s] Loading 0: 88%|████████▊ | 256/291 [00:06<00:00, 46.47it/s] Loading 0: 90%|████████▉ | 261/291 [00:06<00:00, 47.17it/s] Loading 0: 91%|█████████▏| 266/291 [00:06<00:00, 38.95it/s] Loading 0: 94%|█████████▍| 273/291 [00:06<00:00, 46.15it/s] Loading 0: 96%|█████████▌| 279/291 [00:06<00:00, 47.43it/s] Loading 0: 98%|█████████▊| 285/291 [00:06<00:00, 41.14it/s] Loading 0: 100%|█████████▉| 290/291 [00:12<00:00, 3.30it/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-ba-e-v1-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-ba-e-v1-c4-v2-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-ba-e-v1-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-ba-e-v1-c4-v2-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-ba-e-v1-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Saving duration: 1.434s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.443s
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/config.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/tokenizer_config.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/special_tokens_map.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/merges.txt
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/vocab.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/tokenizer.json
cycy233-l3-ba-e-v1-c4-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v1-c4-v2_reward/reward.tensors
Job cycy233-l3-ba-e-v1-c4-v2-mkmlizer completed after 146.9s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v1-c4-v2-mkmlizer
Pipeline stage MKMLizer completed in 147.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v1-c4-v2
Waiting for inference service cycy233-l3-ba-e-v1-c4-v2 to be ready
Inference service cycy233-l3-ba-e-v1-c4-v2 ready after 70.54421639442444s
Pipeline stage ISVCDeployer completed in 72.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2505602836608887s
Received healthy response to inference request in 1.3965020179748535s
Received healthy response to inference request in 1.422537088394165s
Received healthy response to inference request in 1.4005200862884521s
Received healthy response to inference request in 1.4057211875915527s
5 requests
0 failed requests
5th percentile: 1.3973056316375732
10th percentile: 1.398109245300293
20th percentile: 1.3997164726257325
30th percentile: 1.4015603065490723
40th percentile: 1.4036407470703125
50th percentile: 1.4057211875915527
60th percentile: 1.4124475479125977
70th percentile: 1.4191739082336425
80th percentile: 1.7881417274475102
90th percentile: 2.519351005554199
95th percentile: 2.8849556446075435
99th percentile: 3.1774393558502196
mean time: 1.7751681327819824
Pipeline stage StressChecker completed in 9.59s
cycy233-l3-ba-e-v1-c4_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v1-c4_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v1-c4_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v1-c4-v2 is running
Tearing down inference service cycy233-l3-ba-e-v1-c4-v2
Service cycy233-l3-ba-e-v1-c4-v2 has been torndown
Pipeline stage ISVCDeleter completed in 4.93s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v1-c4-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v1-c4-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v1-c4-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v1-c4-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v1-c4-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v1-c4-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.13s
cycy233-l3-ba-e-v1-c4_v2 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics