submission_id: fredithefish-mysticrp4_v2
developer_uid: fredi
status: torndown
model_repo: Fredithefish/MysticRP4
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.99, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.9, 'frequency_penalty': 0.3, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
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: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-10T17:08:12+00:00
model_name: fredithefish-mysticrp4_v2
model_eval_status: success
model_group: Fredithefish/MysticRP4
num_battles: 45830
num_wins: 24298
celo_rating: 1186.14
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: fredithefish-mysticrp4_v2
ineligible_reason: propriety_total_count < 800
language_model: Fredithefish/MysticRP4
model_size: 47B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-10
win_ratio: 0.5301767401265547
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name fredithefish-mysticrp4-v2-mkmlizer
Waiting for job on fredithefish-mysticrp4-v2-mkmlizer to finish
fredithefish-mysticrp4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
fredithefish-mysticrp4-v2-mkmlizer: ║     _____            __           __                                ║
fredithefish-mysticrp4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
fredithefish-mysticrp4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
fredithefish-mysticrp4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
fredithefish-mysticrp4-v2-mkmlizer: ║       /___/                                                         ║
fredithefish-mysticrp4-v2-mkmlizer: ║                                                                     ║
fredithefish-mysticrp4-v2-mkmlizer: ║  Version: 0.8.6                                                     ║
fredithefish-mysticrp4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
fredithefish-mysticrp4-v2-mkmlizer: ║                                                                     ║
fredithefish-mysticrp4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
fredithefish-mysticrp4-v2-mkmlizer: ║  belonging to:                                                      ║
fredithefish-mysticrp4-v2-mkmlizer: ║                                                                     ║
fredithefish-mysticrp4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
fredithefish-mysticrp4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
fredithefish-mysticrp4-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
fredithefish-mysticrp4-v2-mkmlizer: ║                                                                     ║
fredithefish-mysticrp4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
fredithefish-mysticrp4-v2-mkmlizer: Downloaded to shared memory in 336.470s
fredithefish-mysticrp4-v2-mkmlizer: quantizing model to /dev/shm/model_cache
fredithefish-mysticrp4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
fredithefish-mysticrp4-v2-mkmlizer: quantized model in 59.221s
fredithefish-mysticrp4-v2-mkmlizer: Processed model Fredithefish/MysticRP4 in 401.420s
fredithefish-mysticrp4-v2-mkmlizer: creating bucket guanaco-mkml-models
fredithefish-mysticrp4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
fredithefish-mysticrp4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/fredithefish-mysticrp4-v2
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/config.json
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/tokenizer_config.json
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/special_tokens_map.json
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/tokenizer.model
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/tokenizer.json
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/flywheel_model.3.safetensors
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/flywheel_model.0.safetensors
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/flywheel_model.1.safetensors
fredithefish-mysticrp4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/fredithefish-mysticrp4-v2/flywheel_model.2.safetensors
fredithefish-mysticrp4-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
fredithefish-mysticrp4-v2-mkmlizer: 
Loading 0:   0%|          | 0/995 [00:00<?, ?it/s]
Loading 0:   1%|          | 9/995 [00:00<00:12, 79.94it/s]
Loading 0:   2%|▏         | 17/995 [00:00<00:14, 69.15it/s]
Loading 0:   2%|▏         | 24/995 [00:00<00:19, 50.26it/s]
Loading 0:   3%|▎         | 31/995 [00:00<00:17, 55.26it/s]
Loading 0:   4%|▍         | 38/995 [00:00<00:16, 59.02it/s]
Loading 0:   5%|▍         | 45/995 [00:01<01:09, 13.69it/s]
Loading 0:   6%|▌         | 59/995 [00:02<00:38, 24.08it/s]
Loading 0:   7%|▋         | 68/995 [00:02<00:33, 27.49it/s]
Loading 0:   8%|▊         | 75/995 [00:02<00:28, 32.49it/s]
Loading 0:   8%|▊         | 83/995 [00:02<00:23, 38.59it/s]
Loading 0:   9%|▉         | 90/995 [00:02<00:25, 35.62it/s]
Loading 0:  10%|▉         | 99/995 [00:02<00:20, 44.05it/s]
Loading 0:  11%|█         | 111/995 [00:03<00:19, 46.50it/s]
Loading 0:  12%|█▏        | 118/995 [00:03<00:17, 49.88it/s]
Loading 0:  13%|█▎        | 125/995 [00:03<00:16, 53.04it/s]
Loading 0:  14%|█▎        | 135/995 [00:03<00:15, 54.06it/s]
Loading 0:  14%|█▍        | 142/995 [00:03<00:14, 56.94it/s]
Loading 0:  15%|█▍        | 149/995 [00:03<00:14, 59.63it/s]
Loading 0:  16%|█▌        | 156/995 [00:03<00:17, 47.48it/s]
Loading 0:  17%|█▋        | 165/995 [00:04<00:14, 55.49it/s]
Loading 0:  17%|█▋        | 172/995 [00:04<00:14, 57.94it/s]
Loading 0:  18%|█▊        | 179/995 [00:04<00:18, 44.04it/s]
Loading 0:  19%|█▉        | 187/995 [00:04<00:15, 50.95it/s]
Loading 0:  20%|█▉        | 195/995 [00:04<00:17, 46.63it/s]
Loading 0:  20%|██        | 202/995 [00:04<00:15, 50.49it/s]
Loading 0:  21%|██        | 209/995 [00:04<00:14, 53.87it/s]
Loading 0:  22%|██▏       | 215/995 [00:05<00:18, 41.17it/s]
Loading 0:  22%|██▏       | 223/995 [00:05<00:15, 48.56it/s]
Loading 0:  24%|██▎       | 234/995 [00:05<00:16, 47.00it/s]
Loading 0:  24%|██▍       | 240/995 [00:05<00:15, 48.06it/s]
Loading 0:  25%|██▍       | 247/995 [00:05<00:14, 51.78it/s]
Loading 0:  25%|██▌       | 253/995 [00:05<00:18, 40.52it/s]
Loading 0:  26%|██▋       | 263/995 [00:06<00:14, 51.80it/s]
Loading 0:  28%|██▊       | 277/995 [00:06<00:10, 68.23it/s]
Loading 0:  29%|██▊       | 285/995 [00:16<04:15,  2.78it/s]
Loading 0:  29%|██▉       | 293/995 [00:17<03:06,  3.76it/s]
Loading 0:  30%|███       | 301/995 [00:17<02:24,  4.81it/s]
Loading 0:  31%|███       | 308/995 [00:17<01:48,  6.32it/s]
Loading 0:  32%|███▏      | 318/995 [00:17<01:12,  9.34it/s]
Loading 0:  33%|███▎      | 326/995 [00:17<00:57, 11.72it/s]
Loading 0:  34%|███▎      | 334/995 [00:18<00:42, 15.43it/s]
Loading 0:  34%|███▍      | 341/995 [00:18<00:36, 17.86it/s]
Loading 0:  35%|███▍      | 348/995 [00:18<00:28, 22.31it/s]
Loading 0:  36%|███▌      | 357/995 [00:18<00:21, 29.74it/s]
Loading 0:  37%|███▋      | 364/995 [00:18<00:20, 30.43it/s]
Loading 0:  38%|███▊      | 374/995 [00:18<00:15, 39.73it/s]
Loading 0:  38%|███▊      | 381/995 [00:19<00:17, 36.10it/s]
Loading 0:  39%|███▉      | 388/995 [00:19<00:14, 41.12it/s]
Loading 0:  40%|████      | 399/995 [00:19<00:11, 53.85it/s]
Loading 0:  41%|████      | 407/995 [00:19<00:12, 46.09it/s]
Loading 0:  42%|████▏     | 415/995 [00:19<00:11, 51.18it/s]
Loading 0:  43%|████▎     | 426/995 [00:19<00:10, 52.58it/s]
Loading 0:  44%|████▎     | 435/995 [00:19<00:09, 59.25it/s]
Loading 0:  45%|████▌     | 448/995 [00:20<00:07, 74.56it/s]
Loading 0:  46%|████▌     | 457/995 [00:20<00:09, 55.84it/s]
Loading 0:  47%|████▋     | 465/995 [00:20<00:09, 58.03it/s]
Loading 0:  47%|████▋     | 472/995 [00:20<00:11, 45.69it/s]
Loading 0:  48%|████▊     | 479/995 [00:20<00:10, 49.44it/s]
Loading 0:  49%|████▉     | 490/995 [00:20<00:08, 61.54it/s]
Loading 0:  50%|█████     | 498/995 [00:21<00:10, 49.28it/s]
Loading 0:  51%|█████     | 505/995 [00:21<00:09, 53.20it/s]
Loading 0:  51%|█████▏    | 512/995 [00:21<00:11, 42.95it/s]
Loading 0:  52%|█████▏    | 519/995 [00:21<00:10, 47.48it/s]
Loading 0:  53%|█████▎    | 527/995 [00:21<00:11, 40.97it/s]
Loading 0:  54%|█████▍    | 537/995 [00:21<00:08, 51.68it/s]
Loading 0:  55%|█████▍    | 544/995 [00:22<00:08, 55.34it/s]
Loading 0:  55%|█████▌    | 551/995 [00:22<00:09, 48.05it/s]
Loading 0:  56%|█████▌    | 558/995 [00:22<00:08, 52.09it/s]
Loading 0:  56%|█████▌    | 559/995 [00:32<00:08, 52.09it/s]
Loading 0:  56%|█████▋    | 560/995 [00:32<04:00,  1.81it/s]
Loading 0:  57%|█████▋    | 568/995 [00:33<02:38,  2.70it/s]
Loading 0:  58%|█████▊    | 577/995 [00:33<01:38,  4.22it/s]
Loading 0:  59%|█████▉    | 589/995 [00:33<00:57,  7.04it/s]
Loading 0:  60%|██████    | 597/995 [00:33<00:43,  9.10it/s]
Loading 0:  61%|██████    | 605/995 [00:33<00:32, 12.15it/s]
Loading 0:  62%|██████▏   | 618/995 [00:34<00:21, 17.52it/s]
Loading 0:  63%|██████▎   | 625/995 [00:34<00:17, 21.17it/s]
Loading 0:  64%|██████▎   | 632/995 [00:34<00:14, 25.55it/s]
Loading 0:  64%|██████▍   | 639/995 [00:34<00:12, 27.53it/s]
Loading 0:  65%|██████▌   | 648/995 [00:34<00:09, 35.30it/s]
Loading 0:  66%|██████▋   | 660/995 [00:34<00:06, 48.34it/s]
Loading 0:  67%|██████▋   | 669/995 [00:34<00:07, 43.56it/s]
Loading 0:  68%|██████▊   | 676/995 [00:35<00:06, 47.65it/s]
Loading 0:  69%|██████▊   | 683/995 [00:35<00:07, 41.37it/s]
Loading 0:  69%|██████▉   | 690/995 [00:35<00:06, 45.97it/s]
Loading 0:  70%|███████   | 699/995 [00:35<00:05, 54.21it/s]
Loading 0:  71%|███████   | 706/995 [00:35<00:06, 46.84it/s]
Loading 0:  72%|███████▏  | 713/995 [00:35<00:05, 51.53it/s]
Loading 0:  72%|███████▏  | 721/995 [00:36<00:06, 42.06it/s]
Loading 0:  73%|███████▎  | 728/995 [00:36<00:05, 47.05it/s]
Loading 0:  74%|███████▍  | 735/995 [00:36<00:05, 50.82it/s]
Loading 0:  75%|███████▍  | 742/995 [00:36<00:05, 45.15it/s]
Loading 0:  76%|███████▌  | 752/995 [00:36<00:04, 55.74it/s]
Loading 0:  76%|███████▋  | 759/995 [00:36<00:04, 57.98it/s]
Loading 0:  77%|███████▋  | 766/995 [00:36<00:05, 44.46it/s]
Loading 0:  78%|███████▊  | 773/995 [00:37<00:04, 48.97it/s]
Loading 0:  79%|███████▊  | 783/995 [00:37<00:04, 46.39it/s]
Loading 0:  80%|███████▉  | 792/995 [00:37<00:03, 54.20it/s]
Loading 0:  81%|████████  | 805/995 [00:37<00:02, 70.38it/s]
Loading 0:  82%|████████▏ | 814/995 [00:37<00:03, 52.37it/s]
Loading 0:  83%|████████▎ | 821/995 [00:37<00:03, 55.30it/s]
Loading 0:  83%|████████▎ | 830/995 [00:38<00:03, 51.23it/s]
Loading 0:  84%|████████▍ | 838/995 [00:38<00:02, 55.36it/s]
Loading 0:  85%|████████▍ | 845/995 [00:48<00:02, 55.36it/s]
Loading 0:  85%|████████▌ | 846/995 [00:48<00:57,  2.58it/s]
Loading 0:  85%|████████▌ | 847/995 [00:49<00:57,  2.58it/s]
Loading 0:  86%|████████▌ | 856/995 [00:49<00:33,  4.11it/s]
Loading 0:  87%|████████▋ | 863/995 [00:49<00:23,  5.71it/s]
Loading 0:  87%|████████▋ | 870/995 [00:49<00:16,  7.61it/s]
Loading 0:  88%|████████▊ | 878/995 [00:49<00:10, 10.76it/s]
Loading 0:  89%|████████▉ | 886/995 [00:49<00:08, 13.53it/s]
Loading 0:  90%|████████▉ | 893/995 [00:49<00:05, 17.51it/s]
Loading 0:  91%|█████████ | 902/995 [00:50<00:03, 24.10it/s]
Loading 0:  91%|█████████▏| 909/995 [00:50<00:03, 26.25it/s]
Loading 0:  92%|█████████▏| 917/995 [00:50<00:02, 32.92it/s]
Loading 0:  93%|█████████▎| 924/995 [00:50<00:01, 38.37it/s]
Loading 0:  94%|█████████▎| 931/995 [00:50<00:01, 34.87it/s]
Loading 0:  94%|█████████▍| 938/995 [00:50<00:01, 40.32it/s]
Loading 0:  95%|█████████▍| 944/995 [00:52<00:04, 12.66it/s]
Loading 0:  96%|█████████▋| 958/995 [00:52<00:01, 21.95it/s]
Loading 0:  97%|█████████▋| 968/995 [00:52<00:01, 25.47it/s]
Loading 0:  98%|█████████▊| 978/995 [00:52<00:00, 32.81it/s]
Loading 0:  99%|█████████▉| 987/995 [00:52<00:00, 40.11it/s]
Loading 0: 100%|██████████| 995/995 [00:53<00:00, 38.07it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1096: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fredithefish-mysticrp4-v2-mkmlizer:   warnings.warn(
fredithefish-mysticrp4-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:720: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fredithefish-mysticrp4-v2-mkmlizer:   warnings.warn(
fredithefish-mysticrp4-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:466: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fredithefish-mysticrp4-v2-mkmlizer:   warnings.warn(
fredithefish-mysticrp4-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
fredithefish-mysticrp4-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
fredithefish-mysticrp4-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
fredithefish-mysticrp4-v2-mkmlizer: Saving duration: 0.278s
fredithefish-mysticrp4-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.493s
fredithefish-mysticrp4-v2-mkmlizer: creating bucket guanaco-reward-models
fredithefish-mysticrp4-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
fredithefish-mysticrp4-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/config.json
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/tokenizer_config.json
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/special_tokens_map.json
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/merges.txt
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/vocab.json
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/tokenizer.json
fredithefish-mysticrp4-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/fredithefish-mysticrp4-v2_reward/reward.tensors
Job fredithefish-mysticrp4-v2-mkmlizer completed after 556.49s with status: succeeded
Stopping job with name fredithefish-mysticrp4-v2-mkmlizer
Pipeline stage MKMLizer completed in 562.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service fredithefish-mysticrp4-v2
Waiting for inference service fredithefish-mysticrp4-v2 to be ready
Inference service fredithefish-mysticrp4-v2 ready after 60.37522912025452s
Pipeline stage ISVCDeployer completed in 68.57s
Running pipeline stage StressChecker
Failed to get response for submission thanhdaonguyen-once-upon-a-t_v21: ('http://thanhdaonguyen-once-upon-a-t-v21-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:58834->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 3.052539825439453s
Received healthy response to inference request in 2.386683225631714s
Received healthy response to inference request in 2.3686845302581787s
Received healthy response to inference request in 2.6989898681640625s
Received healthy response to inference request in 3.7361912727355957s
5 requests
0 failed requests
5th percentile: 2.372284269332886
10th percentile: 2.375884008407593
20th percentile: 2.3830834865570067
30th percentile: 2.4491445541381838
40th percentile: 2.574067211151123
50th percentile: 2.6989898681640625
60th percentile: 2.840409851074219
70th percentile: 2.9818298339843747
80th percentile: 3.1892701148986817
90th percentile: 3.4627306938171385
95th percentile: 3.599460983276367
99th percentile: 3.70884521484375
mean time: 2.848617744445801
Pipeline stage StressChecker completed in 15.03s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
fredithefish-mysticrp4_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
fredithefish-mysticrp4_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of fredithefish-mysticrp4_v2
Running pipeline stage ISVCDeleter
Checking if service fredithefish-mysticrp4-v2 is running
Tearing down inference service fredithefish-mysticrp4-v2
Toredown service fredithefish-mysticrp4-v2
Pipeline stage ISVCDeleter completed in 3.62s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key fredithefish-mysticrp4-v2/config.json from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key fredithefish-mysticrp4-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key fredithefish-mysticrp4-v2_reward/config.json from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key fredithefish-mysticrp4-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.87s
fredithefish-mysticrp4_v2 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics