Running pipeline stage MKMLizer
Starting job with name nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer
Waiting for job on nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer to finish
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nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: ║ Version: 0.8.14 ║
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: ║ https://mk1.ai ║
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nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: ║ Chai Research Corp. ║
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nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: warnings.warn(warning_message, FutureWarning)
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Downloaded to shared memory in 15.716s
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-hathor-l3-8b-v-02-v8-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.
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: quantized model in 17.181s
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Processed model Nitral-AI/Hathor-L3-8B-v.02 in 33.784s
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8/config.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8/special_tokens_map.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8/tokenizer_config.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8/tokenizer.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v8/flywheel_model.0.safetensors
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v8-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.
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v8-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()
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: return self.fget.__get__(instance, owner)()
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Saving duration: 0.224s
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.465s
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/special_tokens_map.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/config.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/tokenizer_config.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/tokenizer.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/merges.txt
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/vocab.json
nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v8_reward/reward.tensors
Job nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer completed after 62.84s with status: succeeded
Stopping job with name nitral-ai-hathor-l3-8b-v-02-v8-mkmlizer
Pipeline stage MKMLizer completed in 66.30s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-hathor-l3-8b-v-02-v8
Waiting for inference service nitral-ai-hathor-l3-8b-v-02-v8 to be ready
Inference service nitral-ai-hathor-l3-8b-v-02-v8 ready after 90.63987016677856s
Pipeline stage ISVCDeployer completed in 97.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0379109382629395s
Received healthy response to inference request in 1.3838386535644531s
Received healthy response to inference request in 1.288102626800537s
Received healthy response to inference request in 1.2715823650360107s
Received healthy response to inference request in 1.3436837196350098s
5 requests
0 failed requests
5th percentile: 1.274886417388916
10th percentile: 1.2781904697418214
20th percentile: 1.2847985744476318
30th percentile: 1.2992188453674316
40th percentile: 1.3214512825012208
50th percentile: 1.3436837196350098
60th percentile: 1.359745693206787
70th percentile: 1.3758076667785644
80th percentile: 1.5146531105041505
90th percentile: 1.776282024383545
95th percentile: 1.907096481323242
99th percentile: 2.011748046875
mean time: 1.46502366065979
Pipeline stage StressChecker completed in 7.96s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-hathor-l3-8b-v-02_v8 status is now deployed due to DeploymentManager action
nitral-ai-hathor-l3-8b-v-02_v8 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.