neversleep-noromaid-v0-_8068

developer_uid: robert_irvine

submission_id: neversleep-noromaid-v0-_8068_v69

model_name: neversleep-noromaid-v0-_8068_v69

model_group: NeverSleep/Noromaid-v0.1

status: torndown

timestamp: 2024-06-09T20:44:23+00:00

num_battles: 3662

num_wins: 1686

celo_rating: 1151.82

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_v69

ineligible_reason: num_battles<5000

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: 0.460404150737302

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 an engaging question [/INST]{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: success

Resubmit model

Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v69-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v69-mkmlizer to finish
neversleep-noromaid-v0-8068-v69-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v69-mkmlizer: ║     _____            __           __                                ║
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neversleep-noromaid-v0-8068-v69-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║       /___/                                                         ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  Version: 0.8.14                                                    ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  https://mk1.ai                                                     ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  The license key for the current software has been verified as      ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  belonging to:                                                      ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  Chai Research Corp.                                                ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v69-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v69-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-v69-mkmlizer:   warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v69-mkmlizer: Downloaded to shared memory in 92.792s
neversleep-noromaid-v0-8068-v69-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v69-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v69-mkmlizer: quantized model in 87.005s
neversleep-noromaid-v0-8068-v69-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 196.298s
neversleep-noromaid-v0-8068-v69-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v69-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v69-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/config.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/special_tokens_map.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/tokenizer_config.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v69/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v69-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-v69-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v69-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-v69-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v69-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-v69-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v69-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-v69-mkmlizer:   return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v69-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v69-mkmlizer: Saving duration: 0.456s
neversleep-noromaid-v0-8068-v69-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.274s
neversleep-noromaid-v0-8068-v69-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v69-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/config.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/merges.txt
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/vocab.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/tokenizer.json
neversleep-noromaid-v0-8068-v69-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v69_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v69-mkmlizer completed after 330.1s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v69-mkmlizer
Pipeline stage MKMLizer completed in 332.79s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v69
Waiting for inference service neversleep-noromaid-v0-8068-v69 to be ready
Failed to get response for submission crestf411-l3-70b-sunfall_7908_v2: ('http://crestf411-l3-70b-sunfall-7908-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:52470->127.0.0.1:8080: read: connection reset by peer\n')
Tearing down inference service neversleep-noromaid-v0-8068-v69
%s, retrying in %s seconds...
Creating inference service neversleep-noromaid-v0-8068-v69
Waiting for inference service neversleep-noromaid-v0-8068-v69 to be ready
Inference service neversleep-noromaid-v0-8068-v69 ready after 120.62745499610901s
Pipeline stage ISVCDeployer completed in 737.65s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2385990619659424s
Received healthy response to inference request in 2.2413127422332764s
Received healthy response to inference request in 2.3663370609283447s
Received healthy response to inference request in 2.2832791805267334s
Received healthy response to inference request in 2.249211549758911s
5 requests
0 failed requests
5th percentile: 2.2428925037384033
10th percentile: 2.2444722652435303
20th percentile: 2.247631788253784
30th percentile: 2.2560250759124756
40th percentile: 2.2696521282196045
50th percentile: 2.2832791805267334
60th percentile: 2.316502332687378
70th percentile: 2.3497254848480225
80th percentile: 2.5407894611358643
90th percentile: 2.8896942615509036
95th percentile: 3.0641466617584228
99th percentile: 3.2037085819244386
mean time: 2.4757479190826417
Pipeline stage StressChecker completed in 12.98s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
neversleep-noromaid-v0-_8068_v69 status is now deployed due to DeploymentManager action
neversleep-noromaid-v0-_8068_v69 status is now inactive due to admin request
admin requested tearing down of neversleep-noromaid-v0-_8068_v69
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v69 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.83s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v69/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v69/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v69_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v69_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.15s
neversleep-noromaid-v0-_8068_v69 status is now torndown due to DeploymentManager action