submission_id: neversleep-noromaid-v0-_8068_v45
developer_uid: alexdaoud
best_of: 4
display_name: neversleep-noromaid-v0-_8068_v45
family_friendly_score: 0.0
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': True}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
ineligible_reason: model is not deployable
is_internal_developer: True
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MixtralForCausalLM
model_eval_status: error
model_group: NeverSleep/Noromaid-v0.1
model_name: neversleep-noromaid-v0-_8068_v45
model_num_parameters: 46702792704.0
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
num_battles: 145
num_wins: 73
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: rirv938/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-05-15T23:37:13+00:00
us_pacific_date: 2024-05-15
win_ratio: 0.503448275862069
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v45-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v45-mkmlizer to finish
neversleep-noromaid-v0-8068-v44-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v44-mkmlizer: ║     _____            __           __                                ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║       /___/                                                         ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  Version: 0.8.14                                                    ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  https://mk1.ai                                                     ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  The license key for the current software has been verified as      ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  belonging to:                                                      ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  Chai Research Corp.                                                ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v44-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v44-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
neversleep-noromaid-v0-8068-v44-mkmlizer:   warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v45-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v45-mkmlizer: ║     _____            __           __                                ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║       /___/                                                         ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  Version: 0.8.14                                                    ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  https://mk1.ai                                                     ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  The license key for the current software has been verified as      ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  belonging to:                                                      ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  Chai Research Corp.                                                ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v45-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v45-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
neversleep-noromaid-v0-8068-v45-mkmlizer:   warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v44-mkmlizer: Downloaded to shared memory in 76.368s
neversleep-noromaid-v0-8068-v44-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v44-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v45-mkmlizer: Downloaded to shared memory in 113.305s
neversleep-noromaid-v0-8068-v45-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v45-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v44-mkmlizer: quantized model in 54.127s
neversleep-noromaid-v0-8068-v44-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 136.951s
neversleep-noromaid-v0-8068-v44-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v44-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v44-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/tokenizer_config.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/tokenizer.model
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/special_tokens_map.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/config.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v44/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v44-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v44-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v44-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v44-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v44-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v44-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v44-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()
neversleep-noromaid-v0-8068-v44-mkmlizer:   return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v44-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v44-mkmlizer: Saving duration: 0.285s
neversleep-noromaid-v0-8068-v44-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 3.505s
neversleep-noromaid-v0-8068-v44-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v44-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v44-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/config.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/merges.txt
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/vocab.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/tokenizer.json
neversleep-noromaid-v0-8068-v44-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v44_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v44-mkmlizer completed after 176.92s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v44-mkmlizer
Pipeline stage MKMLizer completed in 179.63s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v44
neversleep-noromaid-v0-8068-v45-mkmlizer: quantized model in 55.909s
Waiting for inference service neversleep-noromaid-v0-8068-v44 to be ready
neversleep-noromaid-v0-8068-v45-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 175.494s
neversleep-noromaid-v0-8068-v45-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v45-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v45-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/config.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/special_tokens_map.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/tokenizer.model
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/tokenizer.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/tokenizer_config.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v45/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v45-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v45-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v45-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v45-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v45-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()
neversleep-noromaid-v0-8068-v45-mkmlizer:   return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v45-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v45-mkmlizer: Saving duration: 0.293s
neversleep-noromaid-v0-8068-v45-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.706s
neversleep-noromaid-v0-8068-v45-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v45-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v45-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/config.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/vocab.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/merges.txt
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/tokenizer.json
neversleep-noromaid-v0-8068-v45-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v45_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v45-mkmlizer completed after 218.15s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v45-mkmlizer
Pipeline stage MKMLizer completed in 218.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v45
Waiting for inference service neversleep-noromaid-v0-8068-v45 to be ready
Inference service neversleep-noromaid-v0-8068-v44 ready after 70.38287711143494s
Pipeline stage ISVCDeployer completed in 78.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.14482045173645s
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5th percentile: 1.8767942428588866
10th percentile: 1.8944168567657471
20th percentile: 1.9296620845794679
30th percentile: 1.9624384880065917
40th percentile: 1.992746067047119
50th percentile: 2.0230536460876465
60th percentile: 2.1290017127990724
70th percentile: 2.2349497795104982
80th percentile: 2.459303140640259
90th percentile: 2.8020617961883545
95th percentile: 2.9734411239624023
99th percentile: 3.1105445861816405
mean time: 2.2524508476257323
Pipeline stage StressChecker completed in 13.33s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.08s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.13s
neversleep-noromaid-v0-_8068_v44 status is now deployed due to DeploymentManager action
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Inference service neversleep-noromaid-v0-8068-v45 ready after 60.35478973388672s
Pipeline stage ISVCDeployer completed in 66.08s
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5 requests
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5th percentile: 1.398471736907959
10th percentile: 1.4848969459533692
20th percentile: 1.6577473640441895
30th percentile: 1.7710629940032958
40th percentile: 1.8248438358306884
50th percentile: 1.878624677658081
60th percentile: 1.9599584102630616
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70th percentile: 2.041292142868042
80th percentile: 2.1946665763854982
90th percentile: 2.4200817108154298
95th percentile: 2.5327892780303953
99th percentile: 2.622955331802368
mean time: 1.9324599266052247
Pipeline stage StressChecker completed in 10.78s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
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neversleep-noromaid-v0-_8068_v45 status is now deployed due to DeploymentManager action
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neversleep-noromaid-v0-_8068_v45 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.