developer_uid: robert_irvine
submission_id: neversleep-noromaid-v0-1_8068_v9
model_name: neversleep-noromaid-v0-1_8068_v9
model_group: NeverSleep/Noromaid-v0.1
status: torndown
timestamp: 2024-03-21T16:46:01+00:00
num_battles: 112138
num_wins: 62386
celo_rating: 1197.71
family_friendly_score: 0.0
submission_type: basic
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 46702792704.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: neversleep-noromaid-v0-1_8068_v9
is_internal_developer: True
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
ranking_group: single
us_pacific_date: 2024-03-21
win_ratio: 0.5563323761793505
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': 512, 'best_of': 8, '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}. Engage in a chat with {user_name} while staying in character. You should create a fun dialogue which entertains {user_name}.\n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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'}
model_eval_status: pending
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-1-8068-v9-mkmlizer
Waiting for job on neversleep-noromaid-v0-1-8068-v9-mkmlizer to finish
neversleep-noromaid-v0-1-8068-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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neversleep-noromaid-v0-1-8068-v9-mkmlizer: ║ ║
neversleep-noromaid-v0-1-8068-v9-mkmlizer: ║ Version: 0.8.6 ║
neversleep-noromaid-v0-1-8068-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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neversleep-noromaid-v0-1-8068-v9-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-1-8068-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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neversleep-noromaid-v0-1-8068-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-1-8068-v9-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-v0-1-8068-v9-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Downloaded to shared memory in 80.983s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-1-8068-v9-mkmlizer: quantized model in 60.294s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 146.924s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-1-8068-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/tokenizer.model
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/tokenizer_config.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/special_tokens_map.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/config.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/tokenizer.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/flywheel_model.3.safetensors
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/flywheel_model.1.safetensors
Retrying (%r) after connection broken by '%r': %s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/flywheel_model.0.safetensors
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-1-8068-v9/flywheel_model.2.safetensors
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neversleep-noromaid-v0-1-8068-v9-mkmlizer: warnings.warn(
neversleep-noromaid-v0-1-8068-v9-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
neversleep-noromaid-v0-1-8068-v9-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.
neversleep-noromaid-v0-1-8068-v9-mkmlizer: warnings.warn(
neversleep-noromaid-v0-1-8068-v9-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.
neversleep-noromaid-v0-1-8068-v9-mkmlizer: warnings.warn(
neversleep-noromaid-v0-1-8068-v9-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-v0-1-8068-v9-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Saving duration: 0.281s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.475s
neversleep-noromaid-v0-1-8068-v9-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-1-8068-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-1-8068-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/config.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/tokenizer_config.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/merges.txt
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/vocab.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/special_tokens_map.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/tokenizer.json
neversleep-noromaid-v0-1-8068-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-1-8068-v9_reward/reward.tensors
Job neversleep-noromaid-v0-1-8068-v9-mkmlizer completed after 637.98s with status: succeeded
Stopping job with name neversleep-noromaid-v0-1-8068-v9-mkmlizer
Pipeline stage MKMLizer completed in 639.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.39s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-1-8068-v9
Retrying (%r) after connection broken by '%r': %s
Waiting for inference service neversleep-noromaid-v0-1-8068-v9 to be ready
Inference service neversleep-noromaid-v0-1-8068-v9 ready after 60.99200081825256s
Pipeline stage ISVCDeployer completed in 67.41s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.185398578643799s
Received healthy response to inference request in 3.450458526611328s
Received healthy response to inference request in 3.268516778945923s
Received healthy response to inference request in 3.5137858390808105s
Received healthy response to inference request in 3.357896566390991s
5 requests
0 failed requests
5th percentile: 3.2863927364349363
10th percentile: 3.3042686939239503
20th percentile: 3.3400206089019777
30th percentile: 3.3764089584350585
40th percentile: 3.4134337425231935
50th percentile: 3.450458526611328
60th percentile: 3.475789451599121
70th percentile: 3.501120376586914
80th percentile: 3.648108386993408
90th percentile: 3.9167534828186037
95th percentile: 4.051076030731201
99th percentile: 4.158534069061279
mean time: 3.5552112579345705
Pipeline stage StressChecker completed in 20.86s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.15s
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 0.32s
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neversleep-noromaid-v0-1_8068_v9 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-noromaid-v0-1_8068_v9
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-1-8068-v9 is running
Tearing down inference service neversleep-noromaid-v0-1-8068-v9
Toredown service neversleep-noromaid-v0-1-8068-v9
Pipeline stage ISVCDeleter completed in 3.87s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-1-8068-v9/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-1-8068-v9/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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Deleting key neversleep-noromaid-v0-1-8068-v9/special_tokens_map.json from bucket guanaco-mkml-models
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Deleting key neversleep-noromaid-v0-1-8068-v9/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-1-8068-v9_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-1-8068-v9_reward/merges.txt from bucket guanaco-reward-models
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Deleting key neversleep-noromaid-v0-1-8068-v9_reward/special_tokens_map.json from bucket guanaco-reward-models
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Deleting key neversleep-noromaid-v0-1-8068-v9_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-1-8068-v9_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.29s
neversleep-noromaid-v0-1_8068_v9 status is now torndown due to DeploymentManager action