Running pipeline stage MKMLizer
Starting job with name wespro-stunning-alpha-7b-3095-v1-mkmlizer
Stopping job with name wespro-stunning-alpha-7b-3095-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name wespro-stunning-alpha-7b-3095-v1-mkmlizer
Waiting for job on wespro-stunning-alpha-7b-3095-v1-mkmlizer to finish
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ _____ __ __ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ /___/ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Version: 0.6.11 ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ The license key for the current software has been verified as ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ belonging to: ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Chai Research Corp. ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Downloaded to shared memory in 35.298s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Reading /tmp/tmps58agmf2/model.safetensors.index.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer:
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
wespro-stunning-alpha-7b-3095-v1-mkmlizer: quantized model in 14.799s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Processed model WesPro/Stunning-Alpha-7B-slerp in 51.004s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-stunning-alpha-7b-3095-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/added_tokens.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/special_tokens_map.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer_config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer.model
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/mkml_model.tensors
wespro-stunning-alpha-7b-3095-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-stunning-alpha-7b-3095-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-stunning-alpha-7b-3095-v1-mkmlizer: warnings.warn(
wespro-stunning-alpha-7b-3095-v1-mkmlizer:
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wespro-stunning-alpha-7b-3095-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-stunning-alpha-7b-3095-v1-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving duration: 0.235s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.676s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: creating bucket guanaco-reward-models
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
wespro-stunning-alpha-7b-3095-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/special_tokens_map.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/tokenizer_config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/merges.txt
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/vocab.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/tokenizer.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/reward.tensors
Job wespro-stunning-alpha-7b-3095-v1-mkmlizer completed after 108.65s with status: succeeded
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ _____ __ __ ║
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Version: 0.6.11 ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ The license key for the current software has been verified as ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ belonging to: ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Chai Research Corp. ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
wespro-stunning-alpha-7b-3095-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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wespro-stunning-alpha-7b-3095-v1-mkmlizer:
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Downloaded to shared memory in 13.974s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Reading /tmp/tmpfp1___u5/model.safetensors.index.json
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
wespro-stunning-alpha-7b-3095-v1-mkmlizer: quantized model in 14.993s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Processed model WesPro/Stunning-Alpha-7B-slerp in 29.882s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-stunning-alpha-7b-3095-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/special_tokens_map.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/added_tokens.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer_config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer.model
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/tokenizer.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v1/mkml_model.tensors
wespro-stunning-alpha-7b-3095-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-stunning-alpha-7b-3095-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-stunning-alpha-7b-3095-v1-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-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-stunning-alpha-7b-3095-v1-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Saving duration: 0.229s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.668s
wespro-stunning-alpha-7b-3095-v1-mkmlizer: creating bucket guanaco-reward-models
wespro-stunning-alpha-7b-3095-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
wespro-stunning-alpha-7b-3095-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/special_tokens_map.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/merges.txt
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/tokenizer_config.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/vocab.json
wespro-stunning-alpha-7b-3095-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v1_reward/tokenizer.json
Job wespro-stunning-alpha-7b-3095-v1-mkmlizer completed after 65.24s with status: succeeded
Stopping job with name wespro-stunning-alpha-7b-3095-v1-mkmlizer
Pipeline stage MKMLizer completed in 180.13s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service wespro-stunning-alpha-7b-3095-v1
Ignoring service wespro-stunning-alpha-7b-3095-v1 already deployed
Waiting for inference service wespro-stunning-alpha-7b-3095-v1 to be ready
Inference service wespro-stunning-alpha-7b-3095-v1 ready after 10.08535623550415s
Pipeline stage ISVCDeployer completed in 17.86s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.110473871231079s
Received healthy response to inference request in 1.0320031642913818s
Received healthy response to inference request in 0.6496548652648926s
Received healthy response to inference request in 0.4976327419281006s
Received healthy response to inference request in 1.1415650844573975s
5 requests
0 failed requests
5th percentile: 0.528037166595459
10th percentile: 0.5584415912628173
20th percentile: 0.6192504405975342
30th percentile: 0.7261245250701904
40th percentile: 0.8790638446807861
50th percentile: 1.0320031642913818
60th percentile: 1.0633914470672607
70th percentile: 1.0947797298431396
80th percentile: 1.1166921138763428
90th percentile: 1.12912859916687
95th percentile: 1.1353468418121337
99th percentile: 1.1403214359283447
mean time: 0.8862659454345703
Pipeline stage StressChecker completed in 5.71s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.07s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.07s
M-Eval Dataset for topic stay_in_character is loaded
wespro-stunning-alpha-7b_3095_v1 status is now deployed due to DeploymentManager action
Scoring model output for bot %s
wespro-stunning-alpha-7b_3095_v1 status is now rejected due to ELO is less than acceptable minimum 6.5
wespro-stunning-alpha-7b_3095_v1 status is now rejected due to Failing to get Model Eval score