submission_id: wespro-neuralkuno-7b-slerp_v1
developer_uid: WesPro
status: torndown
model_repo: WesPro/NeuralKuno-7B-slerp
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
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}
reward_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}
timestamp: 2024-04-03T15:29:26+00:00
model_name: wespro-neuralkuno-7b-slerp_v1
model_eval_status: success
model_group: WesPro/NeuralKuno-7B-sle
num_battles: 13043
num_wins: 6396
celo_rating: 1147.06
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: wespro-neuralkuno-7b-slerp_v1
ineligible_reason: propriety_total_count < 800
language_model: WesPro/NeuralKuno-7B-slerp
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-03
win_ratio: 0.4903779805259526
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name wespro-neuralkuno-7b-slerp-v1-mkmlizer
Waiting for job on wespro-neuralkuno-7b-slerp-v1-mkmlizer to finish
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║     _____            __           __                                ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║       /___/                                                         ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║                                                                     ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║                                                                     ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  belonging to:                                                      ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║                                                                     ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  Chai Research Corp.                                                ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ║                                                                     ║
wespro-neuralkuno-7b-slerp-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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wespro-neuralkuno-7b-slerp-v1-mkmlizer: Downloaded to shared memory in 43.818s
wespro-neuralkuno-7b-slerp-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-neuralkuno-7b-slerp-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-neuralkuno-7b-slerp-v1-mkmlizer: Reading /tmp/tmpvsq1bzij/model.safetensors.index.json
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wespro-neuralkuno-7b-slerp-v1-mkmlizer: quantized model in 14.397s
wespro-neuralkuno-7b-slerp-v1-mkmlizer: Processed model WesPro/NeuralKuno-7B-slerp in 59.083s
wespro-neuralkuno-7b-slerp-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-neuralkuno-7b-slerp-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-neuralkuno-7b-slerp-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1/config.json
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1/tokenizer_config.json
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1/special_tokens_map.json
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1/tokenizer.json
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/wespro-neuralkuno-7b-slerp-v1/tokenizer.model
wespro-neuralkuno-7b-slerp-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-neuralkuno-7b-slerp-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-neuralkuno-7b-slerp-v1-mkmlizer:   warnings.warn(
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wespro-neuralkuno-7b-slerp-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-neuralkuno-7b-slerp-v1-mkmlizer:   warnings.warn(
wespro-neuralkuno-7b-slerp-v1-mkmlizer: 
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wespro-neuralkuno-7b-slerp-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-neuralkuno-7b-slerp-v1-mkmlizer:   warnings.warn(
wespro-neuralkuno-7b-slerp-v1-mkmlizer: 
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wespro-neuralkuno-7b-slerp-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-neuralkuno-7b-slerp-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/wespro-neuralkuno-7b-slerp-v1_reward/reward.tensors
Job wespro-neuralkuno-7b-slerp-v1-mkmlizer completed after 96.3s with status: succeeded
Stopping job with name wespro-neuralkuno-7b-slerp-v1-mkmlizer
Pipeline stage MKMLizer completed in 100.74s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service wespro-neuralkuno-7b-slerp-v1
Waiting for inference service wespro-neuralkuno-7b-slerp-v1 to be ready
Inference service wespro-neuralkuno-7b-slerp-v1 ready after 40.247331619262695s
Pipeline stage ISVCDeployer completed in 47.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.442159652709961s
Received healthy response to inference request in 0.7767457962036133s
Received healthy response to inference request in 0.9515705108642578s
Received healthy response to inference request in 1.0054512023925781s
Received healthy response to inference request in 0.7102153301239014s
5 requests
0 failed requests
5th percentile: 0.7235214233398437
10th percentile: 0.7368275165557862
20th percentile: 0.7634397029876709
30th percentile: 0.8117107391357422
40th percentile: 0.881640625
50th percentile: 0.9515705108642578
60th percentile: 0.9731227874755859
70th percentile: 0.9946750640869141
80th percentile: 1.0927928924560548
90th percentile: 1.2674762725830078
95th percentile: 1.3548179626464842
99th percentile: 1.4246913146972655
mean time: 0.9772284984588623
Pipeline stage StressChecker completed in 5.73s
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
wespro-neuralkuno-7b-slerp_v1 status is now deployed due to DeploymentManager action
wespro-neuralkuno-7b-slerp_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of wespro-neuralkuno-7b-slerp_v1
Running pipeline stage ISVCDeleter
Checking if service wespro-neuralkuno-7b-slerp-v1 is running
Tearing down inference service wespro-neuralkuno-7b-slerp-v1
Toredown service wespro-neuralkuno-7b-slerp-v1
Pipeline stage ISVCDeleter completed in 5.07s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key wespro-neuralkuno-7b-slerp-v1/config.json from bucket guanaco-mkml-models
Deleting key wespro-neuralkuno-7b-slerp-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key wespro-neuralkuno-7b-slerp-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key wespro-neuralkuno-7b-slerp-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key wespro-neuralkuno-7b-slerp-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key wespro-neuralkuno-7b-slerp-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/config.json from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key wespro-neuralkuno-7b-slerp-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.12s
wespro-neuralkuno-7b-slerp_v1 status is now torndown due to DeploymentManager action

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