Running pipeline stage MKMLizer
Starting job with name inv-konstanta-7b-v3-mkmlizer
Waiting for job on inv-konstanta-7b-v3-mkmlizer to finish
inv-konstanta-7b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-konstanta-7b-v3-mkmlizer: ║ _____ __ __ ║
inv-konstanta-7b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-konstanta-7b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-konstanta-7b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-konstanta-7b-v3-mkmlizer: ║ /___/ ║
inv-konstanta-7b-v3-mkmlizer: ║ ║
inv-konstanta-7b-v3-mkmlizer: ║ Version: 0.6.11 ║
inv-konstanta-7b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-konstanta-7b-v3-mkmlizer: ║ ║
inv-konstanta-7b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
inv-konstanta-7b-v3-mkmlizer: ║ belonging to: ║
inv-konstanta-7b-v3-mkmlizer: ║ ║
inv-konstanta-7b-v3-mkmlizer: ║ Chai Research Corp. ║
inv-konstanta-7b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-konstanta-7b-v3-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
inv-konstanta-7b-v3-mkmlizer: ║ ║
inv-konstanta-7b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-konstanta-7b-v3-mkmlizer: Downloaded to shared memory in 27.836s
inv-konstanta-7b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
inv-konstanta-7b-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-konstanta-7b-v3-mkmlizer: Reading /tmp/tmp_yvqpawz/model.safetensors.index.json
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inv-konstanta-7b-v3-mkmlizer: quantized model in 16.334s
inv-konstanta-7b-v3-mkmlizer: Processed model Inv/Konstanta-7B in 45.074s
inv-konstanta-7b-v3-mkmlizer: creating bucket guanaco-mkml-models
inv-konstanta-7b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-konstanta-7b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-konstanta-7b-v3
inv-konstanta-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-konstanta-7b-v3/tokenizer.model
inv-konstanta-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-konstanta-7b-v3/tokenizer.json
inv-konstanta-7b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-konstanta-7b-v3/config.json
inv-konstanta-7b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-konstanta-7b-v3/special_tokens_map.json
inv-konstanta-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-konstanta-7b-v3/tokenizer_config.json
inv-konstanta-7b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-konstanta-7b-v3-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.
inv-konstanta-7b-v3-mkmlizer: warnings.warn(
inv-konstanta-7b-v3-mkmlizer:
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inv-konstanta-7b-v3-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.
inv-konstanta-7b-v3-mkmlizer: warnings.warn(
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inv-konstanta-7b-v3-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.
inv-konstanta-7b-v3-mkmlizer: warnings.warn(
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inv-konstanta-7b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-konstanta-7b-v3-mkmlizer: Saving duration: 0.238s
inv-konstanta-7b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.697s
inv-konstanta-7b-v3-mkmlizer: creating bucket guanaco-reward-models
inv-konstanta-7b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-konstanta-7b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-konstanta-7b-v3_reward
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/config.json
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/tokenizer_config.json
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/merges.txt
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/special_tokens_map.json
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/vocab.json
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/tokenizer.json
inv-konstanta-7b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-konstanta-7b-v3_reward/reward.tensors
Job inv-konstanta-7b-v3-mkmlizer completed after 75.63s with status: succeeded
Stopping job with name inv-konstanta-7b-v3-mkmlizer
Pipeline stage MKMLizer completed in 79.68s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.33s
Running pipeline stage ISVCDeployer
Creating inference service inv-konstanta-7b-v3
Waiting for inference service inv-konstanta-7b-v3 to be ready
Inference service inv-konstanta-7b-v3 ready after 40.22850751876831s
Pipeline stage ISVCDeployer completed in 47.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.799464464187622s
Received healthy response to inference request in 1.143632173538208s
Received healthy response to inference request in 1.152250051498413s
Received healthy response to inference request in 1.1728789806365967s
Received healthy response to inference request in 1.1791033744812012s
5 requests
0 failed requests
5th percentile: 1.145355749130249
10th percentile: 1.1470793247222901
20th percentile: 1.150526475906372
30th percentile: 1.1563758373260498
40th percentile: 1.1646274089813233
50th percentile: 1.1728789806365967
60th percentile: 1.1753687381744384
70th percentile: 1.1778584957122802
80th percentile: 1.3031755924224855
90th percentile: 1.5513200283050539
95th percentile: 1.6753922462463378
99th percentile: 1.7746500205993652
mean time: 1.2894658088684081
Pipeline stage StressChecker completed in 7.43s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
inv-konstanta-7b_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of inv-konstanta-7b_v3
Running pipeline stage ISVCDeleter
Checking if service inv-konstanta-7b-v3 is running
Tearing down inference service inv-konstanta-7b-v3
Toredown service inv-konstanta-7b-v3
Pipeline stage ISVCDeleter completed in 3.80s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key inv-konstanta-7b-v3/config.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-7b-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key inv-konstanta-7b-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-7b-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key inv-konstanta-7b-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key inv-konstanta-7b-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key inv-konstanta-7b-v3_reward/config.json from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key inv-konstanta-7b-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.86s
inv-konstanta-7b_v3 status is now torndown due to DeploymentManager action