wespro-2ndfrankn

developer_uid: WesPro
submission_id: wespro-2ndfrankn_v1
model_name: wespro-2ndfrankn_v1
model_group: WesPro/2ndFrankn
status: rejected
timestamp: 2024-04-14T04:50:42+00:00
num_battles: 56
num_wins: 19
family_friendly_score: 0.0
submission_type: basic
model_repo: WesPro/2ndFrankn
model_architecture: MistralForCausalLM
model_num_parameters: 12912644096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
reward_model: default
display_name: wespro-2ndfrankn_v1
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: WesPro/2ndFrankn
model_size: 13B
ranking_group: single
us_pacific_date: 2024-04-13
win_ratio: 0.3392857142857143
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}
model_eval_status: success
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}:', 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
Resubmit model
Running pipeline stage MKMLizer
Starting job with name wespro-2ndfrankn-v1-mkmlizer
Waiting for job on wespro-2ndfrankn-v1-mkmlizer to finish
wespro-2ndfrankn-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-2ndfrankn-v1-mkmlizer: ║     _____            __           __                                ║
wespro-2ndfrankn-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
wespro-2ndfrankn-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
wespro-2ndfrankn-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
wespro-2ndfrankn-v1-mkmlizer: ║       /___/                                                         ║
wespro-2ndfrankn-v1-mkmlizer: ║                                                                     ║
wespro-2ndfrankn-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
wespro-2ndfrankn-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
wespro-2ndfrankn-v1-mkmlizer: ║                                                                     ║
wespro-2ndfrankn-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
wespro-2ndfrankn-v1-mkmlizer: ║  belonging to:                                                      ║
wespro-2ndfrankn-v1-mkmlizer: ║                                                                     ║
wespro-2ndfrankn-v1-mkmlizer: ║  Chai Research Corp.                                                ║
wespro-2ndfrankn-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
wespro-2ndfrankn-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
wespro-2ndfrankn-v1-mkmlizer: ║                                                                     ║
wespro-2ndfrankn-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
wespro-2ndfrankn-v1-mkmlizer: 
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wespro-2ndfrankn-v1-mkmlizer: 
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wespro-2ndfrankn-v1-mkmlizer: Downloaded to shared memory in 43.040s
wespro-2ndfrankn-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-2ndfrankn-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-2ndfrankn-v1-mkmlizer: Reading /tmp/tmpu0t9xm36/model.safetensors.index.json
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wespro-2ndfrankn-v1-mkmlizer: quantized model in 28.515s
wespro-2ndfrankn-v1-mkmlizer: Processed model WesPro/2ndFrankn in 73.606s
wespro-2ndfrankn-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-2ndfrankn-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-2ndfrankn-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-2ndfrankn-v1
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-2ndfrankn-v1/config.json
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-2ndfrankn-v1/tokenizer_config.json
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-2ndfrankn-v1/special_tokens_map.json
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/wespro-2ndfrankn-v1/tokenizer.model
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-2ndfrankn-v1/tokenizer.json
wespro-2ndfrankn-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/wespro-2ndfrankn-v1/mkml_model.tensors
wespro-2ndfrankn-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-2ndfrankn-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-2ndfrankn-v1-mkmlizer:   warnings.warn(
wespro-2ndfrankn-v1-mkmlizer: 
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wespro-2ndfrankn-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-2ndfrankn-v1-mkmlizer:   warnings.warn(
wespro-2ndfrankn-v1-mkmlizer: 
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wespro-2ndfrankn-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-2ndfrankn-v1-mkmlizer:   warnings.warn(
wespro-2ndfrankn-v1-mkmlizer: 
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wespro-2ndfrankn-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-2ndfrankn-v1-mkmlizer: Saving duration: 0.276s
wespro-2ndfrankn-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.275s
wespro-2ndfrankn-v1-mkmlizer: creating bucket guanaco-reward-models
wespro-2ndfrankn-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
wespro-2ndfrankn-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/config.json
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/tokenizer_config.json
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/vocab.json
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/merges.txt
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/special_tokens_map.json
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/tokenizer.json
wespro-2ndfrankn-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/wespro-2ndfrankn-v1_reward/reward.tensors
Job wespro-2ndfrankn-v1-mkmlizer completed after 146.45s with status: succeeded
Stopping job with name wespro-2ndfrankn-v1-mkmlizer
Pipeline stage MKMLizer completed in 149.35s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service wespro-2ndfrankn-v1
Waiting for inference service wespro-2ndfrankn-v1 to be ready
Inference service wespro-2ndfrankn-v1 ready after 50.57574248313904s
Pipeline stage ISVCDeployer completed in 57.76s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2857508659362793s
Received healthy response to inference request in 1.789116621017456s
Received healthy response to inference request in 1.788114070892334s
Received healthy response to inference request in 1.8078193664550781s
Received healthy response to inference request in 1.8029077053070068s
5 requests
0 failed requests
5th percentile: 1.7883145809173584
10th percentile: 1.7885150909423828
20th percentile: 1.7889161109924316
30th percentile: 1.7918748378753662
40th percentile: 1.7973912715911866
50th percentile: 1.8029077053070068
60th percentile: 1.8048723697662354
70th percentile: 1.8068370342254638
80th percentile: 1.9034056663513184
90th percentile: 2.094578266143799
95th percentile: 2.190164566040039
99th percentile: 2.2666336059570313
mean time: 1.8947417259216308
Pipeline stage StressChecker completed in 10.29s
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 0.09s
M-Eval Dataset for topic stay_in_character is loaded
wespro-2ndfrankn_v1 status is now deployed due to DeploymentManager action
wespro-2ndfrankn_v1 status is now rejected due to ELO is less than acceptable minimum 6.5