Running pipeline stage MKMLizer
Starting job with name sao10k-l3-rp-v5-1-v6-mkmlizer
Waiting for job on sao10k-l3-rp-v5-1-v6-mkmlizer to finish
sao10k-l3-rp-v5-1-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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sao10k-l3-rp-v5-1-v6-mkmlizer: ║ ║
sao10k-l3-rp-v5-1-v6-mkmlizer: ║ Version: 0.8.14 ║
sao10k-l3-rp-v5-1-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-rp-v5-1-v6-mkmlizer: ║ https://mk1.ai ║
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sao10k-l3-rp-v5-1-v6-mkmlizer: ║ The license key for the current software has been verified as ║
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sao10k-l3-rp-v5-1-v6-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-rp-v5-1-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-rp-v5-1-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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sao10k-l3-rp-v5-1-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission blend_pefis_2024-07-04: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'min_p\'"}')
sao10k-l3-rp-v5-1-v6-mkmlizer: Downloaded to shared memory in 26.489s
sao10k-l3-rp-v5-1-v6-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-rp-v5-1-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
sao10k-l3-rp-v5-1-v6-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-rp-v5-1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-rp-v5-1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6/config.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6/special_tokens_map.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6/tokenizer_config.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6/tokenizer.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-rp-v5-1-v6/flywheel_model.0.safetensors
sao10k-l3-rp-v5-1-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-l3-rp-v5-1-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-l3-rp-v5-1-v6-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-1-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
sao10k-l3-rp-v5-1-v6-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-1-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-l3-rp-v5-1-v6-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-1-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-l3-rp-v5-1-v6-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-1-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
sao10k-l3-rp-v5-1-v6-mkmlizer: return self.fget.__get__(instance, owner)()
sao10k-l3-rp-v5-1-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-l3-rp-v5-1-v6-mkmlizer: Saving duration: 0.522s
sao10k-l3-rp-v5-1-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.618s
sao10k-l3-rp-v5-1-v6-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-rp-v5-1-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-rp-v5-1-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/config.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/vocab.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/merges.txt
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/tokenizer.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/tokenizer_config.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/special_tokens_map.json
sao10k-l3-rp-v5-1-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-rp-v5-1-v6_reward/reward.tensors
Job sao10k-l3-rp-v5-1-v6-mkmlizer completed after 105.5s with status: succeeded
Stopping job with name sao10k-l3-rp-v5-1-v6-mkmlizer
Pipeline stage MKMLizer completed in 106.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-rp-v5-1-v6
Waiting for inference service sao10k-l3-rp-v5-1-v6 to be ready
Inference service sao10k-l3-rp-v5-1-v6 ready after 40.44881987571716s
Pipeline stage ISVCDeployer completed in 47.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0662410259246826s
Received healthy response to inference request in 1.3587100505828857s
Received healthy response to inference request in 1.3138611316680908s
Received healthy response to inference request in 1.2953078746795654s
Received healthy response to inference request in 1.358058214187622s
5 requests
0 failed requests
5th percentile: 1.2990185260772704
10th percentile: 1.3027291774749756
20th percentile: 1.3101504802703858
30th percentile: 1.3227005481719971
40th percentile: 1.3403793811798095
50th percentile: 1.358058214187622
60th percentile: 1.3583189487457275
70th percentile: 1.358579683303833
80th percentile: 1.5002162456512453
90th percentile: 1.7832286357879639
95th percentile: 1.924734830856323
99th percentile: 2.0379397869110107
mean time: 1.4784356594085692
Pipeline stage StressChecker completed in 8.25s
sao10k-l3-rp-v5-1_v6 status is now deployed due to DeploymentManager action
sao10k-l3-rp-v5-1_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sao10k-l3-rp-v5-1_v6
Running pipeline stage ISVCDeleter
Checking if service sao10k-l3-rp-v5-1-v6 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.00s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v5-1-v6/config.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v5-1-v6/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v5-1-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v5-1-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v5-1-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v5-1-v6_reward/config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v5-1-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.30s
sao10k-l3-rp-v5-1_v6 status is now torndown due to DeploymentManager action