sophosympatheia-midnight_8807

submission_id: sophosympatheia-midnight_8807_v1
developer_uid: Meliodia
best_of: 4
celo_rating: 1172.69
display_name: sophosympatheia-midnight_8807_v1
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': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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: sophosympatheia/Midnight-Miqu-70B-v1.5
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: error
model_group: sophosympatheia/Midnight
model_name: sophosympatheia-midnight_8807_v1
model_num_parameters: 68976648192.0
model_repo: sophosympatheia/Midnight-Miqu-70B-v1.5
model_size: 69B
num_battles: 1122
num_wins: 547
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: ChaiML/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-06-09T03:47:39+00:00
us_pacific_date: 2024-06-08
win_ratio: 0.4875222816399287
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sophosympatheia-midnight-8807-v1-mkmlizer
Waiting for job on sophosympatheia-midnight-8807-v1-mkmlizer to finish
sophosympatheia-midnight-8807-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sophosympatheia-midnight-8807-v1-mkmlizer: ║     _____            __           __                                ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║       /___/                                                         ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║                                                                     ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  https://mk1.ai                                                     ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║                                                                     ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  belonging to:                                                      ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║                                                                     ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  Chai Research Corp.                                                ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
sophosympatheia-midnight-8807-v1-mkmlizer: ║                                                                     ║
sophosympatheia-midnight-8807-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sophosympatheia-midnight-8807-v1-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.
sophosympatheia-midnight-8807-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
sophosympatheia-midnight-8807-v1-mkmlizer: Processed model sophosympatheia/Midnight-Miqu-70B-v1.5 in 282.229s
sophosympatheia-midnight-8807-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sophosympatheia-midnight-8807-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/config.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/special_tokens_map.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/tokenizer_config.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/tokenizer.model
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/tokenizer.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.5.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.0.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.3.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.4.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.2.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/sophosympatheia-midnight-8807-v1/flywheel_model.1.safetensors
sophosympatheia-midnight-8807-v1-mkmlizer: loading reward model from ChaiML/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.
sophosympatheia-midnight-8807-v1-mkmlizer:   warnings.warn(
sophosympatheia-midnight-8807-v1-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.
sophosympatheia-midnight-8807-v1-mkmlizer:   warnings.warn(
sophosympatheia-midnight-8807-v1-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.
sophosympatheia-midnight-8807-v1-mkmlizer:   warnings.warn(
sophosympatheia-midnight-8807-v1-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()
sophosympatheia-midnight-8807-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
sophosympatheia-midnight-8807-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sophosympatheia-midnight-8807-v1-mkmlizer: Saving duration: 0.281s
sophosympatheia-midnight-8807-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.955s
sophosympatheia-midnight-8807-v1-mkmlizer: creating bucket guanaco-reward-models
sophosympatheia-midnight-8807-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sophosympatheia-midnight-8807-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/config.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/special_tokens_map.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/tokenizer_config.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/merges.txt
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/vocab.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/tokenizer.json
sophosympatheia-midnight-8807-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sophosympatheia-midnight-8807-v1_reward/reward.tensors
Job sophosympatheia-midnight-8807-v1-mkmlizer completed after 330.13s with status: succeeded
Stopping job with name sophosympatheia-midnight-8807-v1-mkmlizer
Pipeline stage MKMLizer completed in 333.25s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service sophosympatheia-midnight-8807-v1
Waiting for inference service sophosympatheia-midnight-8807-v1 to be ready
Failed to get response for submission hastagaras-anjir-8b-l3-m_4330_v1: ('http://hastagaras-anjir-8b-l3-m-4330-v1-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service sophosympatheia-midnight-8807-v1 ready after 80.42440342903137s
Pipeline stage ISVCDeployer completed in 87.48s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3153018951416016s
Received healthy response to inference request in 2.550013780593872s
Received healthy response to inference request in 2.310755729675293s
%s, retrying in %s seconds...
Received healthy response to inference request in 2.2037816047668457s
Received healthy response to inference request in 3.401475667953491s
Received healthy response to inference request in 2.20410418510437s
Received healthy response to inference request in 1.9733378887176514s
Received healthy response to inference request in 2.491184949874878s
5 requests
0 failed requests
5th percentile: 2.01942663192749
10th percentile: 2.065515375137329
20th percentile: 2.157692861557007
30th percentile: 2.2038461208343505
40th percentile: 2.2039751529693605
50th percentile: 2.20410418510437
60th percentile: 2.318936491012573
70th percentile: 2.433768796920776
80th percentile: 2.673243093490601
90th percentile: 3.037359380722046
95th percentile: 3.2194175243377683
99th percentile: 3.365064039230347
mean time: 2.4547768592834474
Pipeline stage StressChecker completed in 26.40s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
sophosympatheia-midnight_8807_v1 status is now deployed due to DeploymentManager action
sophosympatheia-midnight_8807_v1 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.