chaiml-llama-8b-multih_78780

developer_uid: rirv938
submission_id: chaiml-llama-8b-multih_78780_v28
model_name: chaiml-llama-8b-multih_78780_v28
model_group: ChaiML/llama_8b_multihea
status: torndown
timestamp: 2025-02-14T01:48:30+00:00
num_battles: 5392
num_wins: 2947
celo_rating: 1295.15
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208
model_architecture: MultiHeadLlamaClassifier
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 2048
max_output_tokens: 1
display_name: chaiml-llama-8b-multih_78780_v28
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208
model_size: 8B
ranking_group: single
us_pacific_date: 2025-02-13
win_ratio: 0.5465504451038575
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:{message}', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-llama-8b-multih-78780-v28-mkmlizer
Waiting for job on chaiml-llama-8b-multih-78780-v28-mkmlizer to finish
chaiml-llama-8b-multih-78780-v28-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║     _____            __           __                                ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║       /___/                                                         ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  belonging to:                                                      ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v28-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama-8b-multih-78780-v28-mkmlizer: Downloaded to shared memory in 22.805s
chaiml-llama-8b-multih-78780-v28-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5p8w9n2k, device:0
chaiml-llama-8b-multih-78780-v28-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama-8b-multih-78780-v28-mkmlizer: quantized model in 15.717s
chaiml-llama-8b-multih-78780-v28-mkmlizer: Processed model ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208 in 38.522s
chaiml-llama-8b-multih-78780-v28-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama-8b-multih-78780-v28-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama-8b-multih-78780-v28-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28
chaiml-llama-8b-multih-78780-v28-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28/config.json
chaiml-llama-8b-multih-78780-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28/tokenizer.json
chaiml-llama-8b-multih-78780-v28-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28/flywheel_model.0.safetensors
chaiml-llama-8b-multih-78780-v28-mkmlizer: 
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Job chaiml-llama-8b-multih-78780-v28-mkmlizer completed after 166.29s with status: succeeded
Stopping job with name chaiml-llama-8b-multih-78780-v28-mkmlizer
Pipeline stage MKMLizer completed in 166.81s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-llama-8b-multih-78780-v28
Waiting for inference service chaiml-llama-8b-multih-78780-v28 to be ready
Inference service chaiml-llama-8b-multih-78780-v28 ready after 190.69922804832458s
Pipeline stage MKMLDeployer completed in 191.18s
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Running pipeline stage StressChecker
Received healthy response to inference request in 4.292471885681152s
Received healthy response to inference request in 3.3669369220733643s
Received healthy response to inference request in 2.8943722248077393s
Received healthy response to inference request in 4.468791723251343s
Received healthy response to inference request in 3.086548328399658s
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Pipeline stage StressChecker completed in 34.76s
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clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-llama-8b-multih-78780-v28-profiler.                                The InferenceService is as following: {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'kind\': \'InferenceService\', \'metadata\': {\'annotations\': {\'autoscaling.knative.dev/class\': \'hpa.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/metric\': \'mean_pod_latency_ms_v2\', \'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\': \'3700\', \'autoscaling.knative.dev/target-burst-capacity\': \'-1\', \'autoscaling.knative.dev/tick-interval\': \'15s\', \'features.knative.dev/http-full-duplex\': \'Enabled\', \'networking.knative.dev/ingress-class\': \'istio.ingress.networking.knative.dev\'}, \'creationTimestamp\': \'2025-02-14T02:46:56Z\', \'finalizers\': [\'inferenceservice.finalizers\'], \'generation\': 1, \'labels\': {\'knative.coreweave.cloud/ingress\': \'istio.ingress.networking.knative.dev\', \'prometheus.k.chaiverse.com\': \'true\', \'qos.coreweave.cloud/latency\': \'low\'}, \'managedFields\': [{\'apiVersion\': \'serving.kserve.io/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/metric\': {}, \'f:autoscaling.knative.dev/panic-threshold-percentage\': {}, 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\'OpenAPI-Generator\', \'operation\': \'Update\', \'time\': \'2025-02-14T02:46:56Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-02-14T02:46:56Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:status\': {\'.\': {}, \'f:components\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:latestCreatedRevision\': {}}}, \'f:conditions\': {}, \'f:modelStatus\': {\'.\': {}, \'f:lastFailureInfo\': {\'.\': {}, \'f:exitCode\': {}, \'f:message\': {}, \'f:reason\': {}}, \'f:states\': {\'.\': {}, \'f:activeModelState\': {}, \'f:targetModelState\': {}}, \'f:transitionStatus\': {}}, \'f:observedGeneration\': {}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'subresource\': \'status\', \'time\': \'2025-02-14T02:47:20Z\'}], \'name\': \'chaiml-llama-8b-multih-78780-v28-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'275908576\', \'uid\': \'abae27c2-4225-42a6-9c6f-81125314a91e\'}, \'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\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'2048\'}, {\'name\': \'BEST_OF\', \'value\': \'1\'}, {\'name\': \'TEMPERATURE\', \'value\': \'1.0\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.0\'}, {\'name\': \'TOP_K\', \'value\': \'40\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\n"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'1\'}, {\'name\': \'MAX_BATCH_SIZE\', \'value\': \'128\'}, {\'name\': \'URL_ROUTE\', \'value\': \'GPT-J-6B-lit-v2\'}, {\'name\': \'OBJ_ACCESS_KEY_ID\', \'value\': \'LETMTTRMLFFAMTBK\'}, {\'name\': \'OBJ_SECRET_ACCESS_KEY\', \'value\': \'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:mkml_v0.11.12_dg\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'kserve-container\', \'readinessProbe\': {\'exec\': {\'command\': [\'cat\', \'/tmp/ready\']}, \'failureThreshold\': 1, \'initialDelaySeconds\': 10, \'periodSeconds\': 10, \'successThreshold\': 1, \'timeoutSeconds\': 5}, \'resources\': {\'limits\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}}, \'volumeMounts\': [{\'mountPath\': \'/dev/shm\', \'name\': \'shared-memory-cache\'}]}], \'imagePullSecrets\': [{\'name\': \'docker-creds\'}], \'maxReplicas\': 1, \'minReplicas\': 1, \'timeout\': 60, \'volumes\': [{\'emptyDir\': {\'medium\': \'Memory\'}, \'name\': \'shared-memory-cache\'}]}}, \'status\': {\'components\': {\'predictor\': {\'latestCreatedRevision\': \'chaiml-llama-8b-multih-78780-v28-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'message\': \'Revision "chaiml-llama-8b-multih-78780-v28-profiler-predictor-00001" failed with message: Container failed with: uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n.\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-02-14T02:47:20Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'RoutesReady\'}], \'modelStatus\': {\'lastFailureInfo\': {\'exitCode\': 1, \'message\': \'uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n\', \'reason\': \'ModelLoadFailed\'}, \'states\': {\'activeModelState\': \'\', \'targetModelState\': \'Pending\'}, \'transitionStatus\': \'InProgress\'}, \'observedGeneration\': 1}}')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-multih-78780-v28-profiler
Waiting for inference service chaiml-llama-8b-multih-78780-v28-profiler to be ready
Tearing down inference service chaiml-llama-8b-multih-78780-v28-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-llama-8b-multih-78780-v28-profiler
Waiting for inference service chaiml-llama-8b-multih-78780-v28-profiler to be ready
Tearing down inference service chaiml-llama-8b-multih-78780-v28-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-llama-8b-multih-78780-v28-profiler
Waiting for inference service chaiml-llama-8b-multih-78780-v28-profiler to be ready
Tearing down inference service chaiml-llama-8b-multih-78780-v28-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-llama-8b-multih-78780-v28-profiler.                                The InferenceService is as following: {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'kind\': \'InferenceService\', \'metadata\': {\'annotations\': {\'autoscaling.knative.dev/class\': \'hpa.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/metric\': \'mean_pod_latency_ms_v2\', \'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\': \'3700\', \'autoscaling.knative.dev/target-burst-capacity\': \'-1\', \'autoscaling.knative.dev/tick-interval\': \'15s\', \'features.knative.dev/http-full-duplex\': \'Enabled\', \'networking.knative.dev/ingress-class\': \'istio.ingress.networking.knative.dev\'}, \'creationTimestamp\': \'2025-02-14T03:17:54Z\', \'finalizers\': [\'inferenceservice.finalizers\'], \'generation\': 1, \'labels\': {\'knative.coreweave.cloud/ingress\': \'istio.ingress.networking.knative.dev\', \'prometheus.k.chaiverse.com\': \'true\', \'qos.coreweave.cloud/latency\': \'low\'}, \'managedFields\': [{\'apiVersion\': \'serving.kserve.io/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/metric\': {}, \'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/target-burst-capacity\': {}, \'f:autoscaling.knative.dev/tick-interval\': {}, \'f:features.knative.dev/http-full-duplex\': {}, \'f:networking.knative.dev/ingress-class\': {}}, \'f:labels\': {\'.\': {}, \'f:knative.coreweave.cloud/ingress\': {}, \'f:prometheus.k.chaiverse.com\': {}, \'f:qos.coreweave.cloud/latency\': {}}}, \'f:spec\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:affinity\': {\'.\': {}, \'f:nodeAffinity\': {\'.\': {}, \'f:tion\': {}, \'f:requiredDuringSchedulingIgnoredDuringExecution\': {}}}, \'f:containerConcurrency\': {}, \'f:containers\': {}, \'f:imagePullSecrets\': {}, \'f:maxReplicas\': {}, \'f:minReplicas\': {}, \'f:timeout\': {}, \'f:volumes\': {}}}}, \'manager\': \'OpenAPI-Generator\', \'operation\': \'Update\', \'time\': \'2025-02-14T03:17:54Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-02-14T03:17:54Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:status\': {\'.\': {}, \'f:components\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:latestCreatedRevision\': {}}}, \'f:conditions\': {}, \'f:modelStatus\': {\'.\': {}, \'f:lastFailureInfo\': {\'.\': {}, \'f:exitCode\': {}, \'f:message\': {}, \'f:reason\': {}}, \'f:states\': {\'.\': {}, \'f:activeModelState\': {}, \'f:targetModelState\': {}}, \'f:transitionStatus\': {}}, \'f:observedGeneration\': {}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'subresource\': \'status\', \'time\': \'2025-02-14T03:19:35Z\'}], \'name\': \'chaiml-llama-8b-multih-78780-v28-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'275940798\', \'uid\': \'81bb43b7-3736-48b5-9fde-680ee507b8c6\'}, \'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\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'2048\'}, {\'name\': \'BEST_OF\', \'value\': \'1\'}, {\'name\': \'TEMPERATURE\', \'value\': \'1.0\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.0\'}, {\'name\': \'TOP_K\', \'value\': \'40\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\n"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'1\'}, {\'name\': \'MAX_BATCH_SIZE\', \'value\': \'128\'}, {\'name\': \'URL_ROUTE\', \'value\': \'GPT-J-6B-lit-v2\'}, {\'name\': \'OBJ_ACCESS_KEY_ID\', \'value\': \'LETMTTRMLFFAMTBK\'}, {\'name\': \'OBJ_SECRET_ACCESS_KEY\', \'value\': \'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:mkml_v0.11.12_dg\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'kserve-container\', \'readinessProbe\': {\'exec\': {\'command\': [\'cat\', \'/tmp/ready\']}, \'failureThreshold\': 1, \'initialDelaySeconds\': 10, \'periodSeconds\': 10, \'successThreshold\': 1, \'timeoutSeconds\': 5}, \'resources\': {\'limits\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}}, \'volumeMounts\': [{\'mountPath\': \'/dev/shm\', \'name\': \'shared-memory-cache\'}]}], \'imagePullSecrets\': [{\'name\': \'docker-creds\'}], \'maxReplicas\': 1, \'minReplicas\': 1, \'timeout\': 60, \'volumes\': [{\'emptyDir\': {\'medium\': \'Memory\'}, \'name\': \'shared-memory-cache\'}]}}, \'status\': {\'components\': {\'predictor\': {\'latestCreatedRevision\': \'chaiml-llama-8b-multih-78780-v28-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'message\': \'Revision "chaiml-llama-8b-multih-78780-v28-profiler-predictor-00001" failed with message: Container failed with: uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n.\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v28-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-02-14T03:19:35Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'RoutesReady\'}], \'modelStatus\': {\'lastFailureInfo\': {\'exitCode\': 1, \'message\': \'uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v28, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n\', \'reason\': \'ModelLoadFailed\'}, \'states\': {\'activeModelState\': \'\', \'targetModelState\': \'FailedToLoad\'}, \'transitionStatus\': \'BlockedByFailedLoad\'}, \'observedGeneration\': 1}}')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
Shutdown handler de-registered
chaiml-llama-8b-multih_78780_v28 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama-8b-multih_78780_v28 status is now torndown due to DeploymentManager action
chaiml-llama-8b-multih_78780_v28 status is now torndown due to DeploymentManager action
chaiml-llama-8b-multih_78780_v28 status is now torndown due to DeploymentManager action
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