submission_id: zeuslabs-l3-aethora-15b-v2_v4
developer_uid: elinas
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system{memory}<|end_header_id|>\\\n\\\n', 'prompt_template': '{prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>\\\n\\\n', 'bot_template': '<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\\n\\\n{bot_name}: {message}', 'user_template': '<|eot_id|><|start_header_id|>user<|end_header_id|>\\\n\\\n{user_name}: {message}', 'response_template': '<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\\n\\\n{prompt}', 'truncate_by_message': False}
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_latest
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: 2024-06-28T22:36:07+00:00
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v4-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v4-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ /___/ ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ Version: 0.8.14 ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ https://mk1.ai ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ The license key for the current software has been verified as ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ belonging to: ║
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zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ Chai Research Corp. ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v4-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-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Downloaded to shared memory in 31.893s
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 70.356s
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/config.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/flywheel_model.1.safetensors
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v4/flywheel_model.0.safetensors
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
zeuslabs-l3-aethora-15b-v2-v4-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-v4-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v4-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-v4-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v4-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-v4-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v4-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-v4-mkmlizer: return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Saving duration: 0.428s
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.218s
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/config.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v4_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v4-mkmlizer completed after 104.23s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v4-mkmlizer
Pipeline stage MKMLizer completed in 105.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v4
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v4 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 127.0.0.1:34924->127.0.0.1:8080: read: connection reset by peer\n')
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 127.0.0.1:55528->127.0.0.1:8080: read: connection reset by peer\n')
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v4
%s, retrying in %s seconds...
Creating inference service zeuslabs-l3-aethora-15b-v2-v4
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v4 to be ready
Connection pool is full, discarding connection: %s
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v4
%s, retrying in %s seconds...
Creating inference service zeuslabs-l3-aethora-15b-v2-v4
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v4 to be ready
Tearing down inference service zeuslabs-l3-aethora-15b-v2-v4
DeploymentError('Timeout to start the InferenceService zeuslabs-l3-aethora-15b-v2-v4. 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\': \'2024-06-28T22:58:18Z\', \'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\': \'2024-06-28T22:58:13Z\'}, {\'apiVersion\': \'serving.kubeflow.org/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {}}, \'f:status\': {\'.\': {}, \'f:components\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:latestCreatedRevision\': {}}}, \'f:conditions\': {}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2024-06-28T22:58:25Z\'}], \'name\': \'zeuslabs-l3-aethora-15b-v2-v4\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'60123209548\', \'uid\': \'0b87e49a-9fbb-443d-9eac-64ad7f55cd67\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'topology.kubernetes.io/region\', \'operator\': \'In\', \'values\': [\'ORD1\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'RTX_A5000\']}]}]}}}, \'containerConcurrency\': 4, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'512\'}, {\'name\': \'BEST_OF\', \'value\': \'4\'}, {\'name\': \'TEMPERATURE\', \'value\': \'1.0\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.7\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', 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zeuslabs-l3-aethora-15b-v2_v4 status is now failed due to DeploymentManager action
admin requested tearing down of zeuslabs-l3-aethora-15b-v2_v4
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.09s
Running pipeline stage MKMLModelDeleter
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Pipeline stage MKMLModelDeleter completed in 0.08s
zeuslabs-l3-aethora-15b-v2_v4 status is now torndown due to DeploymentManager action