developer_uid: shiroe40
submission_id: cycy233-l3-e-v2-c1_v30
model_name: auto
model_group: cycy233/L3-e-v2-c1
status: torndown
timestamp: 2024-08-08T01:58:11+00:00
num_battles: 11034
num_wins: 5134
celo_rating: 1190.8
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-e-v2-c1
model_architecture: LlamaForCausalLM
reward_repo: cycy233/reward
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-e-v2-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-07
win_ratio: 0.46528910639840493
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 512}
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-v2-c1-v30-mkmlizer
Waiting for job on cycy233-l3-e-v2-c1-v30-mkmlizer to finish
cycy233-l3-e-v2-c1-v30-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ _____ __ __ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ /___/ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ belonging to: ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ║ ║
cycy233-l3-e-v2-c1-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v2-c1-v30-mkmlizer: Downloaded to shared memory in 22.199s
cycy233-l3-e-v2-c1-v30-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfx4l70xf, device:0
cycy233-l3-e-v2-c1-v30-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v2-c1-v30-mkmlizer: quantized model in 26.551s
cycy233-l3-e-v2-c1-v30-mkmlizer: Processed model cycy233/L3-e-v2-c1 in 48.750s
cycy233-l3-e-v2-c1-v30-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v2-c1-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v2-c1-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30/config.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30/special_tokens_map.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30/tokenizer_config.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30/tokenizer.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v2-c1-v30/flywheel_model.0.safetensors
cycy233-l3-e-v2-c1-v30-mkmlizer: loading reward model from cycy233/reward
cycy233-l3-e-v2-c1-v30-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:07, 36.54it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 57.67it/s] Loading 0: 7%|▋ | 20/291 [00:00<00:05, 53.13it/s] Loading 0: 9%|▉ | 26/291 [00:00<00:04, 53.40it/s] Loading 0: 11%|█ | 32/291 [00:00<00:05, 46.25it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:05, 49.07it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:04, 50.44it/s] Loading 0: 20%|█▉ | 58/291 [00:01<00:04, 56.70it/s] Loading 0: 22%|██▏ | 64/291 [00:01<00:04, 52.30it/s] Loading 0: 24%|██▍ | 70/291 [00:01<00:04, 52.92it/s] Loading 0: 26%|██▌ | 76/291 [00:01<00:04, 53.55it/s] Loading 0: 28%|██▊ | 82/291 [00:01<00:04, 48.54it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:06, 31.49it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:05, 38.23it/s] Loading 0: 34%|███▍ | 100/291 [00:02<00:04, 39.31it/s] Loading 0: 36%|███▌ | 105/291 [00:02<00:04, 40.47it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 46.05it/s] Loading 0: 41%|████ | 118/291 [00:02<00:03, 43.66it/s] Loading 0: 42%|████▏ | 123/291 [00:02<00:03, 43.90it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:03, 48.58it/s] Loading 0: 47%|████▋ | 136/291 [00:02<00:03, 46.35it/s] Loading 0: 48%|████▊ | 141/291 [00:03<00:03, 45.10it/s] Loading 0: 51%|█████ | 147/291 [00:03<00:02, 48.45it/s] Loading 0: 52%|█████▏ | 152/291 [00:03<00:02, 47.25it/s] Loading 0: 54%|█████▍ | 158/291 [00:03<00:03, 42.72it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:02, 50.09it/s] Loading 0: 59%|█████▉ | 172/291 [00:03<00:02, 46.93it/s] Loading 0: 62%|██████▏ | 179/291 [00:03<00:02, 50.41it/s] Loading 0: 64%|██████▎ | 185/291 [00:03<00:02, 51.56it/s] Loading 0: 66%|██████▌ | 191/291 [00:04<00:03, 32.50it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:02, 34.50it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:02, 39.00it/s] Loading 0: 71%|███████▏ | 208/291 [00:04<00:02, 39.56it/s] Loading 0: 73%|███████▎ | 213/291 [00:04<00:01, 41.03it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 46.79it/s] Loading 0: 78%|███████▊ | 226/291 [00:05<00:01, 44.12it/s] Loading 0: 79%|███████▉ | 231/291 [00:05<00:01, 44.46it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 49.75it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:01, 46.55it/s] Loading 0: 86%|████████▌ | 249/291 [00:05<00:00, 44.73it/s] Loading 0: 88%|████████▊ | 255/291 [00:05<00:00, 47.20it/s] Loading 0: 89%|████████▉ | 260/291 [00:05<00:00, 47.60it/s] Loading 0: 91%|█████████▏| 266/291 [00:05<00:00, 42.91it/s] Loading 0: 94%|█████████▍| 273/291 [00:06<00:00, 49.06it/s] Loading 0: 96%|█████████▌| 279/291 [00:06<00:00, 50.95it/s] Loading 0: 98%|█████████▊| 285/291 [00:06<00:00, 45.56it/s] Loading 0: 100%|█████████▉| 290/291 [00:11<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-e-v2-c1-v30-mkmlizer: warnings.warn(
cycy233-l3-e-v2-c1-v30-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-v2-c1-v30-mkmlizer: warnings.warn(
cycy233-l3-e-v2-c1-v30-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-e-v2-c1-v30-mkmlizer: Saving duration: 0.136s
cycy233-l3-e-v2-c1-v30-mkmlizer: Processed model cycy233/reward in 5.382s
cycy233-l3-e-v2-c1-v30-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-e-v2-c1-v30-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-e-v2-c1-v30-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/special_tokens_map.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/config.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/tokenizer_config.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/merges.txt
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/vocab.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/tokenizer.json
cycy233-l3-e-v2-c1-v30-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-e-v2-c1-v30_reward/reward.tensors
Job cycy233-l3-e-v2-c1-v30-mkmlizer completed after 86.08s with status: succeeded
Stopping job with name cycy233-l3-e-v2-c1-v30-mkmlizer
Pipeline stage MKMLizer completed in 86.77s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-e-v2-c1-v30
Waiting for inference service cycy233-l3-e-v2-c1-v30 to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v3 ready after 191.31359672546387s
Pipeline stage ISVCDeployer completed in 193.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4538414478302s
Received healthy response to inference request in 1.6306359767913818s
Received healthy response to inference request in 1.6856236457824707s
Received healthy response to inference request in 1.785656213760376s
Received healthy response to inference request in 1.706754446029663s
5 requests
0 failed requests
5th percentile: 1.6416335105895996
10th percentile: 1.6526310443878174
20th percentile: 1.674626111984253
30th percentile: 1.6898498058319091
40th percentile: 1.6983021259307862
50th percentile: 1.706754446029663
60th percentile: 1.7383151531219483
70th percentile: 1.7698758602142335
80th percentile: 1.919293260574341
90th percentile: 2.1865673542022703
95th percentile: 2.3202044010162353
99th percentile: 2.427114038467407
mean time: 1.8525023460388184
Pipeline stage StressChecker completed in 11.22s
zonemercy-cogent-nemo-v1_3266_v3 status is now deployed due to DeploymentManager action
Inference service cycy233-l3-e-v2-c1-v30 ready after 181.14511227607727s
Pipeline stage ISVCDeployer completed in 181.62s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8755621910095215s
Received healthy response to inference request in 1.1060936450958252s
Received healthy response to inference request in 1.14957857131958s
Received healthy response to inference request in 1.0924134254455566s
Received healthy response to inference request in 1.0628867149353027s
5 requests
0 failed requests
5th percentile: 1.0687920570373535
10th percentile: 1.0746973991394042
20th percentile: 1.086508083343506
30th percentile: 1.0951494693756103
40th percentile: 1.1006215572357179
50th percentile: 1.1060936450958252
60th percentile: 1.123487615585327
70th percentile: 1.1408815860748291
80th percentile: 1.2947752952575684
90th percentile: 1.585168743133545
95th percentile: 1.7303654670715332
99th percentile: 1.8465228462219239
mean time: 1.2573069095611573
Pipeline stage StressChecker completed in 7.04s
cycy233-l3-e-v2-c1_v30 status is now deployed due to DeploymentManager action
cycy233-l3-e-v2-c1_v30 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-e-v2-c1_v30
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-e-v2-c1-v30 is running
Tearing down inference service cycy233-l3-e-v2-c1-v30
Service cycy233-l3-e-v2-c1-v30 has been torndown
Pipeline stage ISVCDeleter completed in 5.05s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-e-v2-c1-v30/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v2-c1-v30/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v2-c1-v30/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v2-c1-v30/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-e-v2-c1-v30/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-e-v2-c1-v30_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-e-v2-c1-v30_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.18s
cycy233-l3-e-v2-c1_v30 status is now torndown due to DeploymentManager action