Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mn12b-tune7-v2-mkmlizer
Waiting for job on chaiml-mn12b-tune7-v2-mkmlizer to finish
chaiml-mn12b-tune7-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-mn12b-tune7-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Version: 0.30.2 ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ belonging to: ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mn12b-tune7-v2-mkmlizer: ║ ║
chaiml-mn12b-tune7-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mn12b-tune7-v2-mkmlizer: Downloaded to shared memory in 25.694s
chaiml-mn12b-tune7-v2-mkmlizer: Checking if ChaiML/mn12b_tune7 already exists in ChaiML
chaiml-mn12b-tune7-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1jf5ffrw, device:0
chaiml-mn12b-tune7-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_rurun_2025-08-28: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-cogito32b-dpos2_39363_v14/predict', '{"detail":"list index out of range"}')
chaiml-mn12b-tune7-v2-mkmlizer: quantized model in 146.879s
chaiml-mn12b-tune7-v2-mkmlizer: Processed model ChaiML/mn12b_tune7 in 172.574s
chaiml-mn12b-tune7-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn12b-tune7-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn12b-tune7-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia
chaiml-mn12b-tune7-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia/special_tokens_map.json
chaiml-mn12b-tune7-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia/config.json
chaiml-mn12b-tune7-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia/tokenizer_config.json
chaiml-mn12b-tune7-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia/tokenizer.json
chaiml-mn12b-tune7-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn12b-tune7-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-mn12b-tune7-v2-mkmlizer completed after 216.09s with status: succeeded
Stopping job with name chaiml-mn12b-tune7-v2-mkmlizer
Pipeline stage MKMLizer completed in 216.47s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mn12b-tune7-v2
Waiting for inference service chaiml-mn12b-tune7-v2 to be ready
Inference service chaiml-mn12b-tune7-v2 ready after 70.11554193496704s
Pipeline stage MKMLDeployer completed in 70.55s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4502053260803223s
Received healthy response to inference request in 1.0573697090148926s
Received healthy response to inference request in 1.1754748821258545s
Received healthy response to inference request in 6.26610255241394s
Received healthy response to inference request in 1.1898901462554932s
5 requests
0 failed requests
5th percentile: 1.080990743637085
10th percentile: 1.1046117782592773
20th percentile: 1.1518538475036622
30th percentile: 1.1783579349517823
40th percentile: 1.1841240406036377
50th percentile: 1.1898901462554932
60th percentile: 1.294016218185425
70th percentile: 1.3981422901153564
80th percentile: 2.413384771347047
90th percentile: 4.339743661880494
95th percentile: 5.302923107147216
99th percentile: 6.073466663360596
mean time: 2.2278085231781004
Pipeline stage StressChecker completed in 12.42s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.64s
Shutdown handler de-registered
chaiml-mn12b-tune7_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
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 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mn12b-tune7-v2-profiler
Waiting for inference service chaiml-mn12b-tune7-v2-profiler to be ready
Tearing down inference service chaiml-mn12b-tune7-v2-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mn12b-tune7-v2-profiler
Waiting for inference service chaiml-mn12b-tune7-v2-profiler to be ready
Tearing down inference service chaiml-mn12b-tune7-v2-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mn12b-tune7-v2-profiler
Waiting for inference service chaiml-mn12b-tune7-v2-profiler to be ready
Tearing down inference service chaiml-mn12b-tune7-v2-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-mn12b-tune7-v2-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\': \'4000\', \'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\': \'2025-09-05T16:34:13Z\', \'finalizers\': [\'inferenceservice.finalizers\'], \'generation\': 1, \'labels\': {\'istio.io/rev\': \'prod-canary\', \'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:istio.io/rev\': {}, \'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:priorityClassName\': {}, \'f:timeout\': {}, \'f:volumes\': {}}}}, \'manager\': \'OpenAPI-Generator\', \'operation\': \'Update\', \'time\': \'2025-09-05T16:34:13Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-09-05T16:34:13Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:status\': {\'.\': {}, \'f:components\': {\'.\': {}, \'f:predictor\': {\'.\': {}, \'f:latestCreatedRevision\': {}}}, \'f:conditions\': {}, \'f:modelStatus\': {\'.\': {}, \'f:states\': {\'.\': {}, \'f:activeModelState\': {}, \'f:targetModelState\': {}}, \'f:transitionStatus\': {}}, \'f:observedGeneration\': {}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'subresource\': \'status\', \'time\': \'2025-09-05T16:34:14Z\'}], \'name\': \'chaiml-mn12b-tune7-v2-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'719456122\', \'uid\': \'f9c59afe-daeb-4ca2-8d2d-b4a277d8fcde\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'RTX_A5000\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'RTX_A5000\', \'L40S\']}]}]}}}, \'containerConcurrency\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'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\': \'64\'}, {\'name\': \'MAX_BATCH_SIZE\', \'value\': \'128\'}, {\'name\': \'MAX_CACHED_RESPONSES\', \'value\': \'-1\'}, {\'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-mn12b-tune7-v2/nvidia\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_QUANTIZATION_PROFILE\', \'value\': \'q4\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:mkml_v0.30.2\', \'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\': \'14Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'14Gi\', \'nvidia.com/gpu\': \'1\'}}, \'volumeMounts\': [{\'mountPath\': \'/dev/shm\', \'name\': \'shared-memory-cache\'}]}], \'imagePullSecrets\': [{\'name\': \'docker-creds\'}], \'maxReplicas\': 1, \'minReplicas\': 1, \'priorityClassName\': \'chaiverse\', \'timeout\': 60, \'volumes\': [{\'emptyDir\': {\'medium\': \'Memory\'}, \'name\': \'shared-memory-cache\'}]}}, \'status\': {\'components\': {\'predictor\': {\'latestCreatedRevision\': \'chaiml-mn12b-tune7-v2-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-09-05T16:34:13Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'Unknown\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-09-05T16:34:14Z\', \'severity\': \'Info\', \'status\': \'Unknown\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-09-05T16:34:14Z\', \'message\': \'Configuration "chaiml-mn12b-tune7-v2-profiler-predictor" is waiting for a Revision to become ready.\', \'reason\': \'RevisionMissing\', \'status\': \'Unknown\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-09-05T16:34:14Z\', \'message\': \'Configuration "chaiml-mn12b-tune7-v2-profiler-predictor" is waiting for a Revision to become ready.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'Unknown\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-09-05T16:34:14Z\', \'message\': \'Configuration "chaiml-mn12b-tune7-v2-profiler-predictor" is waiting for a Revision to become ready.\', \'reason\': \'RevisionMissing\', \'status\': \'Unknown\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-09-05T16:34:13Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'Unknown\', \'type\': \'RoutesReady\'}], \'modelStatus\': {\'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 0.14s
Shutdown handler de-registered
chaiml-mn12b-tune7_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-mn12b-tune7_v2 status is now torndown due to DeploymentManager action