developer_uid: robert_irvine
submission_id: neversleep-noromaid-v0-_8068_v74
model_name: neversleep-noromaid-v0-_8068_v74
model_group: NeverSleep/Noromaid-v0.1
status: torndown
timestamp: 2024-06-09T21:06:41+00:00
num_battles: 9320
num_wins: 4164
celo_rating: 1146.2
family_friendly_score: 0.0
submission_type: basic
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_architecture: MixtralForCausalLM
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: neversleep-noromaid-v0-_8068_v74
is_internal_developer: True
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
ranking_group: single
us_pacific_date: 2024-06-09
win_ratio: 0.4467811158798283
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': ['</s>', '<|user|>', '###', '\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nPlay the role of {bot_name}. You goal is to make sure the conversation is always novel and creative. [/INST]\n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '[INST] {bot_name} should ask lots of personal questions to {user_name} [/INST]{bot_name}:', 'truncate_by_message': False}
model_eval_status: pending
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v74-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v74-mkmlizer to finish
neversleep-noromaid-v0-8068-v74-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v74-mkmlizer: ║     _____            __           __                                ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║       /___/                                                         ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  Version: 0.8.14                                                    ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  https://mk1.ai                                                     ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  The license key for the current software has been verified as      ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  belonging to:                                                      ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  Chai Research Corp.                                                ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v74-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v74-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-v74-mkmlizer:   warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v74-mkmlizer: Downloaded to shared memory in 62.561s
neversleep-noromaid-v0-8068-v74-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v74-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v74-mkmlizer: quantized model in 53.304s
neversleep-noromaid-v0-8068-v74-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 121.421s
neversleep-noromaid-v0-8068-v74-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v74-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v74-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/tokenizer.model
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/special_tokens_map.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/tokenizer.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/tokenizer_config.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/config.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v74/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v74-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-v74-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v74-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-v74-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v74-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-v74-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v74-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-v74-mkmlizer:   return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v74-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v74-mkmlizer: Saving duration: 0.243s
neversleep-noromaid-v0-8068-v74-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.182s
neversleep-noromaid-v0-8068-v74-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v74-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v74-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/config.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/merges.txt
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/vocab.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/tokenizer.json
neversleep-noromaid-v0-8068-v74-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v74_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v74-mkmlizer completed after 166.15s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v74-mkmlizer
Pipeline stage MKMLizer completed in 169.06s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v74
Waiting for inference service neversleep-noromaid-v0-8068-v74 to be ready
Inference service neversleep-noromaid-v0-8068-v74 ready after 201.4849283695221s
Pipeline stage ISVCDeployer completed in 208.35s
Running pipeline stage StressChecker
%s, retrying in %s seconds...
Received healthy response to inference request in 15.088561534881592s
Received healthy response to inference request in 2.358466148376465s
Received healthy response to inference request in 2.0688745975494385s
Received healthy response to inference request in 1.8269929885864258s
Received healthy response to inference request in 2.379629135131836s
5 requests
0 failed requests
5th percentile: 1.8753693103790283
10th percentile: 1.9237456321716309
20th percentile: 2.020498275756836
30th percentile: 2.1267929077148438
40th percentile: 2.2426295280456543
50th percentile: 2.358466148376465
60th percentile: 2.366931343078613
70th percentile: 2.3753965377807615
80th percentile: 4.92141561508179
90th percentile: 10.004988574981692
95th percentile: 12.546775054931638
99th percentile: 14.580204238891602
mean time: 4.7445048809051515
Pipeline stage StressChecker completed in 44.43s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
neversleep-noromaid-v0-_8068_v74 status is now deployed due to DeploymentManager action
neversleep-noromaid-v0-_8068_v74 status is now inactive due to admin request
neversleep-noromaid-v0-_8068_v74 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-noromaid-v0-_8068_v74
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v74 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 3.69s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v74/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v74/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v74_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v74_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.83s
neversleep-noromaid-v0-_8068_v74 status is now torndown due to DeploymentManager action