Running pipeline stage MKMLizer
Starting job with name wespro-stunning-alpha-7b-3095-v2-mkmlizer
Waiting for job on wespro-stunning-alpha-7b-3095-v2-mkmlizer to finish
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ _____ __ __ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ /___/ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ Version: 0.6.11 ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ The license key for the current software has been verified as ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ belonging to: ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ Chai Research Corp. ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ║ ║
wespro-stunning-alpha-7b-3095-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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wespro-stunning-alpha-7b-3095-v2-mkmlizer: Downloaded to shared memory in 14.329s
wespro-stunning-alpha-7b-3095-v2-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Reading /tmp/tmpmdw6acbv/model.safetensors.index.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer:
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wespro-stunning-alpha-7b-3095-v2-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-v2-mkmlizer: quantized model in 14.587s
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Processed model WesPro/Stunning-Alpha-7B-slerp in 29.795s
wespro-stunning-alpha-7b-3095-v2-mkmlizer: creating bucket guanaco-mkml-models
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/wespro-stunning-alpha-7b-3095-v2/mkml_model.tensors
wespro-stunning-alpha-7b-3095-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-stunning-alpha-7b-3095-v2-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-v2-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v2-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-v2-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v2-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-v2-mkmlizer: warnings.warn(
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wespro-stunning-alpha-7b-3095-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Saving duration: 0.223s
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.338s
wespro-stunning-alpha-7b-3095-v2-mkmlizer: creating bucket guanaco-reward-models
wespro-stunning-alpha-7b-3095-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
wespro-stunning-alpha-7b-3095-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/config.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/special_tokens_map.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/tokenizer_config.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/merges.txt
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/vocab.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/tokenizer.json
wespro-stunning-alpha-7b-3095-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/wespro-stunning-alpha-7b-3095-v2_reward/reward.tensors
Job wespro-stunning-alpha-7b-3095-v2-mkmlizer completed after 65.13s with status: succeeded
Stopping job with name wespro-stunning-alpha-7b-3095-v2-mkmlizer
Pipeline stage MKMLizer completed in 69.22s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service wespro-stunning-alpha-7b-3095-v2
Waiting for inference service wespro-stunning-alpha-7b-3095-v2 to be ready
Inference service wespro-stunning-alpha-7b-3095-v2 ready after 50.40982723236084s
Pipeline stage ISVCDeployer completed in 58.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 0.8943498134613037s
Received healthy response to inference request in 0.557532548904419s
Received healthy response to inference request in 0.6082677841186523s
Received healthy response to inference request in 0.5088419914245605s
Received healthy response to inference request in 0.6048533916473389s
5 requests
0 failed requests
5th percentile: 0.5185801029205322
10th percentile: 0.528318214416504
20th percentile: 0.5477944374084472
30th percentile: 0.566996717453003
40th percentile: 0.5859250545501709
50th percentile: 0.6048533916473389
60th percentile: 0.6062191486358642
70th percentile: 0.6075849056243896
80th percentile: 0.6654841899871826
90th percentile: 0.7799170017242432
95th percentile: 0.8371334075927734
99th percentile: 0.8829065322875976
mean time: 0.6347691059112549
Pipeline stage StressChecker completed in 4.01s
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-stunning-alpha-7b_3095_v2 status is now deployed due to DeploymentManager action
wespro-stunning-alpha-7b_3095_v2 status is now rejected due to ELO is less than acceptable minimum 6.5