zeuslabs-l3-aethora-15b-v2

submission_id: zeuslabs-l3-aethora-15b-v2_v5
developer_uid: elinas
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generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.7, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_of_text|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
model_name: l3-aethora-15b-v2_latest1
model_repo: ZeusLabs/L3-Aethora-15B-V2
reward_formatter: {'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
timestamp: 2024-06-28T22:44:17+00:00
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v5-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v5-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║     _____            __           __                                ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║       /___/                                                         ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  Version: 0.8.14                                                    ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  https://mk1.ai                                                     ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  belonging to:                                                      ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  Chai Research Corp.                                                ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v5-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.
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer:   warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Downloaded to shared memory in 30.909s
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: quantized model in 33.410s
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 69.183s
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/config.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/flywheel_model.1.safetensors
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v5/flywheel_model.0.safetensors
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
zeuslabs-l3-aethora-15b-v2-v5-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.
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v5-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.
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v5-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.
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v5-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()
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer:   return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Saving duration: 0.422s
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.506s
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: creating bucket guanaco-reward-models
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/config.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v5_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v5-mkmlizer completed after 105.19s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v5-mkmlizer
Pipeline stage MKMLizer completed in 106.06s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v5
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v5 to be ready
Failed to get response for submission turboderp-cat-llama-3-7_8684_v19: ('http://turboderp-cat-llama-3-7-8684-v19-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:39686->127.0.0.1:8080: read: connection reset by peer\n')
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v5
%s, retrying in %s seconds...
Creating inference service zeuslabs-l3-aethora-15b-v2-v5
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v5 to be ready
Connection pool is full, discarding connection: %s
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v5
%s, retrying in %s seconds...
Creating inference service zeuslabs-l3-aethora-15b-v2-v5
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v5 to be ready
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v5
DeploymentError('Timeout to start the InferenceService zeuslabs-l3-aethora-15b-v2-v5.                                The InferenceService is as following: {\'apiVersion\': \'serving.kubeflow.org/v1beta1\', \'kind\': \'InferenceService\', \'metadata\': {\'annotations\': {\'autoscaling.knative.dev/class\': \'kpa.autoscaling.knative.dev\', \'autoscaling.knative.dev/container-concurrency-target-percentage\': \'70\', \'autoscaling.knative.dev/initial-scale\': \'1\', \'autoscaling.knative.dev/max-scale-down-rate\': \'1.1\', \'autoscaling.knative.dev/max-scale-up-rate\': \'2\', \'autoscaling.knative.dev/panic-threshold-percentage\': \'650\', \'autoscaling.knative.dev/panic-window-percentage\': \'35\', \'autoscaling.knative.dev/scale-down-delay\': \'30s\', \'autoscaling.knative.dev/scale-to-zero-grace-period\': \'10m\', \'autoscaling.knative.dev/stable-window\': \'180s\', \'autoscaling.knative.dev/target\': \'2\', \'autoscaling.knative.dev/tick-interval\': \'15s\', \'networking.knative.dev/ingress-class\': \'kourier.ingress.networking.knative.dev\'}, \'creationTimestamp\': \'2024-06-28T23:06:30Z\', \'finalizers\': [\'inferenceservice.finalizers\'], \'generation\': 1, \'labels\': {\'knative.coreweave.cloud/ingress\': \'kourier.ingress.networking.knative.dev\', \'qos.coreweave.cloud/latency\': \'low\'}, \'managedFields\': [{\'apiVersion\': \'serving.kubeflow.org/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:annotations\': {\'.\': {}, \'f:autoscaling.knative.dev/class\': {}, \'f:autoscaling.knative.dev/container-concurrency-target-percentage\': {}, \'f:autoscaling.knative.dev/initial-scale\': {}, \'f:autoscaling.knative.dev/max-scale-down-rate\': {}, \'f:autoscaling.knative.dev/max-scale-up-rate\': {}, \'f:autoscaling.knative.dev/panic-threshold-percentage\': {}, \'f:autoscaling.knative.dev/panic-window-percentage\': {}, \'f:autoscaling.knative.dev/scale-down-delay\': {}, \'f:autoscaling.knative.dev/scale-to-zero-grace-period\': {}, \'f:autoscaling.knative.dev/stable-window\': {}, \'f:autoscaling.knative.dev/target\': {}, \'f:autoscaling.knative.dev/tick-interval\': {}, \'f:networking.knative.dev/ingress-class\': {}}, \'f:labels\': {\'.\': {}, \'f:knative.coreweave.cloud/ingress\': {}, \'f:qos.coreweave.cloud/latency\': {}}}, \'f:spec\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:affinity\': {\'.\': {}, \'f:nodeAffinity\': {\'.\': {}, \'f:tion\': {}, \'f:requiredDuringSchedulingIgnoredDuringExecution\': {\'.\': {}, \'f:nodeSelectorTerms\': {}}}}, \'f:containerConcurrency\': {}, \'f:containers\': {}, \'f:imagePullSecrets\': {}, \'f:maxReplicas\': {}, \'f:minReplicas\': {}, \'f:timeout\': {}}}}, \'manager\': \'OpenAPI-Generator\', \'operation\': \'Update\', \'time\': \'2024-06-28T23:06:24Z\'}, {\'apiVersion\': \'serving.kubeflow.org/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {}}, \'f:status\': {\'.\': {}, \'f:components\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:latestCreatedRevision\': {}}}, \'f:conditions\': {}}}, \'manager\': \'manager\', 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zeuslabs-l3-aethora-15b-v2_v5 status is now failed due to DeploymentManager action
admin requested tearing down of zeuslabs-l3-aethora-15b-v2_v5
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.10s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.07s
zeuslabs-l3-aethora-15b-v2_v5 status is now torndown due to DeploymentManager action