developer_uid: zonemercy
submission_id: zonemercy-acute-nemo-v1-_7178_v1
model_name: 0814v1-3
model_group: zonemercy/Acute-Nemo-v1.
status: torndown
timestamp: 2024-08-15T00:26:17+00:00
num_battles: 12049
num_wins: 6154
celo_rating: 1235.5
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Acute-Nemo-v1.1-orpo-5e6ep1
model_architecture: MistralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 12772070400.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: 0814v1-3
is_internal_developer: True
language_model: zonemercy/Acute-Nemo-v1.1-orpo-5e6ep1
model_size: 13B
ranking_group: single
us_pacific_date: 2024-08-14
win_ratio: 0.5107477798987468
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-acute-nemo-v1-7178-v1-mkmlizer
Waiting for job on zonemercy-acute-nemo-v1-7178-v1-mkmlizer to finish
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ _____ __ __ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ /___/ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ Version: 0.9.9 ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ https://mk1.ai ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ belonging to: ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Downloaded to shared memory in 104.132s
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphq65frtt, device:0
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: quantized model in 43.169s
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Processed model zonemercy/Acute-Nemo-v1.1-orpo-5e6ep1 in 147.301s
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1/config.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1/special_tokens_map.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1/tokenizer_config.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1/tokenizer.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-7178-v1/flywheel_model.0.safetensors
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:16, 22.23it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:13, 26.70it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:15, 22.90it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:12, 28.26it/s] Loading 0: 6%|▋ | 23/363 [00:01<00:16, 21.11it/s] Loading 0: 7%|▋ | 26/363 [00:01<00:17, 18.80it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:13, 24.23it/s] Loading 0: 9%|▉ | 34/363 [00:01<00:13, 23.99it/s] Loading 0: 10%|█ | 37/363 [00:01<00:13, 25.03it/s] Loading 0: 11%|█▏ | 41/363 [00:01<00:14, 22.49it/s] Loading 0: 13%|█▎ | 46/363 [00:01<00:11, 27.52it/s] Loading 0: 14%|█▍ | 50/363 [00:02<00:13, 23.51it/s] Loading 0: 15%|█▌ | 55/363 [00:02<00:10, 28.23it/s] Loading 0: 17%|█▋ | 60/363 [00:02<00:10, 29.57it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:15, 19.18it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:12, 23.50it/s] Loading 0: 20%|██ | 73/363 [00:03<00:12, 23.18it/s] Loading 0: 21%|██ | 77/363 [00:03<00:13, 21.51it/s] Loading 0: 23%|██▎ | 82/363 [00:03<00:11, 25.25it/s] Loading 0: 23%|██▎ | 85/363 [00:03<00:10, 26.05it/s] Loading 0: 24%|██▍ | 88/363 [00:03<00:10, 25.21it/s] Loading 0: 25%|██▌ | 91/363 [00:03<00:10, 25.98it/s] Loading 0: 26%|██▌ | 94/363 [00:03<00:10, 26.56it/s] Loading 0: 27%|██▋ | 97/363 [00:04<00:10, 25.41it/s] Loading 0: 28%|██▊ | 100/363 [00:04<00:10, 26.25it/s] Loading 0: 28%|██▊ | 103/363 [00:04<00:14, 17.90it/s] Loading 0: 29%|██▉ | 106/363 [00:04<00:13, 19.15it/s] Loading 0: 30%|███ | 109/363 [00:04<00:12, 21.12it/s] Loading 0: 31%|███ | 112/363 [00:04<00:10, 23.07it/s] Loading 0: 32%|███▏ | 115/363 [00:04<00:10, 22.98it/s] Loading 0: 33%|███▎ | 118/363 [00:04<00:10, 24.06it/s] Loading 0: 33%|███▎ | 121/363 [00:05<00:09, 25.48it/s] Loading 0: 34%|███▍ | 124/363 [00:05<00:09, 24.42it/s] Loading 0: 35%|███▍ | 127/363 [00:05<00:09, 25.10it/s] Loading 0: 36%|███▌ | 130/363 [00:05<00:08, 26.02it/s] Loading 0: 37%|███▋ | 133/363 [00:05<00:09, 25.17it/s] Loading 0: 37%|███▋ | 136/363 [00:05<00:08, 26.26it/s] Loading 0: 39%|███▉ | 141/363 [00:05<00:07, 28.12it/s] Loading 0: 40%|███▉ | 144/363 [00:06<00:12, 17.45it/s] Loading 0: 41%|████ | 149/363 [00:06<00:11, 19.40it/s] Loading 0: 42%|████▏ | 154/363 [00:06<00:08, 24.40it/s] Loading 0: 44%|████▎ | 158/363 [00:06<00:09, 22.60it/s] Loading 0: 45%|████▍ | 163/363 [00:06<00:07, 27.39it/s] Loading 0: 46%|████▌ | 167/363 [00:07<00:08, 24.47it/s] Loading 0: 47%|████▋ | 172/363 [00:07<00:06, 29.32it/s] Loading 0: 48%|████▊ | 176/363 [00:07<00:07, 25.59it/s] Loading 0: 50%|████▉ | 181/363 [00:07<00:06, 30.14it/s] Loading 0: 51%|█████ | 185/363 [00:07<00:08, 19.95it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 24.58it/s] Loading 0: 53%|█████▎ | 194/363 [00:08<00:07, 22.45it/s] Loading 0: 55%|█████▍ | 199/363 [00:08<00:06, 26.83it/s] Loading 0: 56%|█████▌ | 203/363 [00:08<00:06, 23.45it/s] Loading 0: 57%|█████▋ | 208/363 [00:08<00:05, 27.73it/s] Loading 0: 58%|█████▊ | 212/363 [00:08<00:06, 24.02it/s] Loading 0: 60%|█████▉ | 217/363 [00:08<00:05, 28.30it/s] Loading 0: 61%|██████ | 222/363 [00:09<00:04, 29.00it/s] Loading 0: 62%|██████▏ | 226/363 [00:09<00:06, 20.41it/s] Loading 0: 63%|██████▎ | 229/363 [00:09<00:06, 21.87it/s] Loading 0: 64%|██████▍ | 232/363 [00:09<00:05, 22.13it/s] Loading 0: 65%|██████▍ | 235/363 [00:09<00:05, 23.48it/s] Loading 0: 66%|██████▌ | 238/363 [00:09<00:05, 24.66it/s] Loading 0: 66%|██████▋ | 241/363 [00:10<00:05, 24.29it/s] Loading 0: 67%|██████▋ | 244/363 [00:10<00:04, 25.38it/s] Loading 0: 68%|██████▊ | 247/363 [00:10<00:04, 26.50it/s] Loading 0: 69%|██████▉ | 250/363 [00:10<00:04, 25.51it/s] Loading 0: 70%|██████▉ | 253/363 [00:10<00:04, 26.49it/s] Loading 0: 71%|███████ | 257/363 [00:10<00:04, 22.84it/s] Loading 0: 72%|███████▏ | 262/363 [00:10<00:03, 28.10it/s] Loading 0: 73%|███████▎ | 266/363 [00:11<00:05, 17.91it/s] Loading 0: 75%|███████▍ | 271/363 [00:11<00:04, 22.63it/s] Loading 0: 76%|███████▌ | 275/363 [00:11<00:04, 21.12it/s] Loading 0: 77%|███████▋ | 280/363 [00:11<00:03, 25.61it/s] Loading 0: 78%|███████▊ | 284/363 [00:11<00:03, 22.53it/s] Loading 0: 80%|███████▉ | 289/363 [00:12<00:02, 26.85it/s] Loading 0: 81%|████████ | 293/363 [00:12<00:02, 23.36it/s] Loading 0: 82%|████████▏ | 298/363 [00:12<00:02, 27.31it/s] Loading 0: 83%|████████▎ | 303/363 [00:12<00:02, 28.21it/s] Loading 0: 85%|████████▍ | 307/363 [00:12<00:02, 20.04it/s] Loading 0: 86%|████████▌ | 311/363 [00:13<00:02, 19.47it/s] Loading 0: 87%|████████▋ | 316/363 [00:13<00:01, 23.73it/s] Loading 0: 88%|████████▊ | 319/363 [00:13<00:01, 24.73it/s] Loading 0: 89%|████████▊ | 322/363 [00:13<00:01, 24.49it/s] Loading 0: 90%|████████▉ | 325/363 [00:13<00:01, 25.68it/s] Loading 0: 90%|█████████ | 328/363 [00:13<00:01, 26.66it/s] Loading 0: 91%|█████████ | 331/363 [00:13<00:01, 25.59it/s] Loading 0: 93%|█████████▎| 336/363 [00:13<00:00, 28.07it/s] Loading 0: 93%|█████████▎| 339/363 [00:14<00:00, 25.03it/s] Loading 0: 94%|█████████▍| 343/363 [00:14<00:00, 26.64it/s] Loading 0: 95%|█████████▌| 346/363 [00:21<00:10, 1.56it/s] Loading 0: 96%|█████████▌| 348/363 [00:21<00:07, 1.88it/s] Loading 0: 97%|█████████▋| 353/363 [00:21<00:03, 3.08it/s] Loading 0: 98%|█████████▊| 357/363 [00:21<00:01, 4.22it/s] Loading 0: 100%|█████████▉| 362/363 [00:21<00:00, 6.28it/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.
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-7178-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.
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-7178-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.
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.43s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.75s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.00s/it]
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.32it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.80it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.47it/s]
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Saving duration: 1.385s
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.058s
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/special_tokens_map.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/config.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/tokenizer_config.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/merges.txt
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/vocab.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/tokenizer.json
zonemercy-acute-nemo-v1-7178-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zonemercy-acute-nemo-v1-7178-v1_reward/reward.tensors
Job zonemercy-acute-nemo-v1-7178-v1-mkmlizer completed after 200.46s with status: succeeded
Stopping job with name zonemercy-acute-nemo-v1-7178-v1-mkmlizer
Pipeline stage MKMLizer completed in 200.95s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-acute-nemo-v1-7178-v1
Waiting for inference service zonemercy-acute-nemo-v1-7178-v1 to be ready
Inference service zonemercy-acute-nemo-v1-7178-v1 ready after 231.48593854904175s
Pipeline stage ISVCDeployer completed in 232.17s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.879146099090576s
Received healthy response to inference request in 1.804405927658081s
Received healthy response to inference request in 1.7571282386779785s
Received healthy response to inference request in 1.7656352519989014s
Received healthy response to inference request in 1.743525505065918s
5 requests
0 failed requests
5th percentile: 1.74624605178833
10th percentile: 1.748966598510742
20th percentile: 1.7544076919555665
30th percentile: 1.7588296413421631
40th percentile: 1.7622324466705321
50th percentile: 1.7656352519989014
60th percentile: 1.7811435222625733
70th percentile: 1.796651792526245
80th percentile: 2.01935396194458
90th percentile: 2.4492500305175784
95th percentile: 2.664198064804077
99th percentile: 2.8361564922332763
mean time: 1.989968204498291
Pipeline stage StressChecker completed in 10.76s
zonemercy-acute-nemo-v1-_7178_v1 status is now deployed due to DeploymentManager action
zonemercy-acute-nemo-v1-_7178_v1 status is now inactive due to auto deactivation removed underperforming models
zonemercy-acute-nemo-v1-_7178_v1 status is now torndown due to DeploymentManager action