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-mistral32-deeps-89261-v16-mkmlizer
Waiting for job on chaiml-mistral32-deeps-89261-v16-mkmlizer to finish
chaiml-mistral32-deeps-89261-v16-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
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chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Version: 0.30.2 ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ belonging to: ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-deeps-89261-v16-mkmlizer: Downloaded to shared memory in 67.374s
chaiml-mistral32-deeps-89261-v16-mkmlizer: Checking if ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 already exists in ChaiML
chaiml-mistral32-deeps-89261-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmx007lbf, device:0
chaiml-mistral32-deeps-89261-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
HTTP Request: %s %s "%s %d %s"
Failed to get response for submission blend_japas_2025-08-29: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-0sw-95p-5ff-rin_63828_v19/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n Field required [type=missing, input_value={\'detail\': \\"SamplingConfi...ment \'max_input_token\'\\"}, input_type=dict]\\n For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
Failed to get response for submission blend_rurun_2025-08-28: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-rirv938-mistral-_56339_v4/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n Field required [type=missing, input_value={\'detail\': \\"SamplingConfi...ment \'max_input_token\'\\"}, input_type=dict]\\n For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
Failed to get response for submission blend_japas_2025-08-29: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-mistral32-deepse_89261_v6/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n Field required [type=missing, input_value={\'detail\': \\"SamplingConfi...ment \'max_input_token\'\\"}, input_type=dict]\\n For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
HTTP Request: %s %s "%s %d %s"
chaiml-mistral32-deeps-89261-v16-mkmlizer: quantized model in 287.074s
chaiml-mistral32-deeps-89261-v16-mkmlizer: Processed model ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 in 354.449s
chaiml-mistral32-deeps-89261-v16-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-deeps-89261-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-deeps-89261-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/config.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/special_tokens_map.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/tokenizer_config.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/tokenizer.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/nvidia/flywheel_model.0.safetensors
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Job chaiml-mistral32-deeps-89261-v16-mkmlizer completed after 388.22s with status: succeeded
Stopping job with name chaiml-mistral32-deeps-89261-v16-mkmlizer
Pipeline stage MKMLizer completed in 388.88s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-deeps-89261-v16
Waiting for inference service chaiml-mistral32-deeps-89261-v16 to be ready
Inference service chaiml-mistral32-deeps-89261-v16 ready after 40.17927050590515s
Pipeline stage MKMLDeployer completed in 40.73s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.025404453277588s
Received healthy response to inference request in 1.7970504760742188s
Received healthy response to inference request in 1.6623713970184326s
Received healthy response to inference request in 1.7917125225067139s
Received healthy response to inference request in 1.6782264709472656s
5 requests
0 failed requests
5th percentile: 1.6655424118041993
10th percentile: 1.668713426589966
20th percentile: 1.675055456161499
30th percentile: 1.7009236812591553
40th percentile: 1.7463181018829346
50th percentile: 1.7917125225067139
60th percentile: 1.7938477039337157
70th percentile: 1.7959828853607178
80th percentile: 1.8427212715148926
90th percentile: 1.9340628623962401
95th percentile: 1.979733657836914
99th percentile: 2.0162702941894532
mean time: 1.7909530639648437
Pipeline stage StressChecker completed in 10.61s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.06s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
chaiml-mistral32-deeps_89261_v16 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2865.75s
Shutdown handler de-registered
chaiml-mistral32-deeps_89261_v16 status is now inactive due to auto deactivation removed underperforming models
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage AMDMKMLizer
Starting job with name chaiml-mistral32-deeps-89261-v16-mkmlizer
Waiting for job on chaiml-mistral32-deeps-89261-v16-mkmlizer to finish
chaiml-mistral32-deeps-89261-v16-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral32-deeps-89261-v16-mkmlizer: bash: no job control in this shell
chaiml-mistral32-deeps-89261-v16-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
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chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Version: 0.29.16+gfx942 ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Features: FLYWHEEL, CUDA, ROCM ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ belonging to: ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ Expiration: 2028-03-31 00:00:00 ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ║ ║
chaiml-mistral32-deeps-89261-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-deeps-89261-v16-mkmlizer: Downloaded to shared memory in 97.767s
chaiml-mistral32-deeps-89261-v16-mkmlizer: Checking if ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 already exists in ChaiML
chaiml-mistral32-deeps-89261-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1dae4u4c, device:0
chaiml-mistral32-deeps-89261-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-deeps-89261-v16-mkmlizer:
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chaiml-mistral32-deeps-89261-v16-mkmlizer: quantized model in 52.502s
chaiml-mistral32-deeps-89261-v16-mkmlizer: Processed model ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 in 150.269s
chaiml-mistral32-deeps-89261-v16-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-deeps-89261-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-deeps-89261-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/config.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/special_tokens_map.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/tokenizer_config.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/tokenizer.json
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/flywheel_model.1.safetensors
chaiml-mistral32-deeps-89261-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deeps-89261-v16/amd/flywheel_model.0.safetensors
Job chaiml-mistral32-deeps-89261-v16-mkmlizer completed after 200.48s with status: succeeded
Stopping job with name chaiml-mistral32-deeps-89261-v16-mkmlizer
Pipeline stage AMDMKMLizer completed in 201.74s
Shutdown handler de-registered
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-mistral32-deeps-89261-v16-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.94s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.32s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Retrying (%r) after connection broken by '%r': %s
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-mistral32-deeps-89261-v16-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\': \'2025-09-22T18:03:07Z\', \'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\': \'2025-09-22T18:03:07Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-09-22T18:03:07Z\'}, {\'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\': \'2025-09-22T18:03:08Z\'}], \'name\': \'chaiml-mistral32-deeps-89261-v16-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'134298659\', \'uid\': \'3444b76d-7a19-4d2b-8b33-dd8a7b8ca123\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\', \'RTX_A6000\', \'L40S\']}]}]}}}, \'containerConcurrency\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.7\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'TOP_P\', \'value\': \'0.95\'}, {\'name\': \'MIN_P\', \'value\': \'0.025\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'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-mistral32-deeps-89261-v16/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\': \'26Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'26Gi\', \'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-mistral32-deeps-89261-v16-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'message\': \'Revision "chaiml-mistral32-deeps-89261-v16-profiler-predictor-00001" failed with message: 0/35 nodes are available: 2 node(s) had untolerated taint {node.kubernetes.io/unreachable: }, 33 node(s) didn\\\'t match Pod\\\'s node affinity/selector. preemption: 0/35 nodes are available: 35 Preemption is not helpful for scheduling..\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-09-22T18:03:08Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'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 0.54s
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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-mistral32-deeps-89261-v16-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\': \'2025-09-22T18:57:57Z\', \'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\': \'2025-09-22T18:57:57Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-09-22T18:57:57Z\'}, {\'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\': \'2025-09-22T18:57:59Z\'}], \'name\': \'chaiml-mistral32-deeps-89261-v16-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'134350289\', \'uid\': \'e2bc952c-d6a0-4980-9853-24046feff1e2\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\', \'RTX_A6000\', \'L40S\']}]}]}}}, \'containerConcurrency\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.7\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'TOP_P\', \'value\': \'0.95\'}, {\'name\': \'MIN_P\', \'value\': \'0.025\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'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-mistral32-deeps-89261-v16/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\': \'26Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'26Gi\', \'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-mistral32-deeps-89261-v16-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'message\': \'Revision "chaiml-mistral32-deeps-89261-v16-profiler-predictor-00001" failed with message: 0/35 nodes are available: 2 node(s) had untolerated taint {node.kubernetes.io/unreachable: }, 33 node(s) didn\\\'t match Pod\\\'s node affinity/selector. preemption: 0/35 nodes are available: 35 Preemption is not helpful for scheduling..\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-09-22T18:57:59Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'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 0.16s
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-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-mistral32-deeps-89261-v16-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\': \'2025-09-22T19:29:34Z\', \'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\': \'2025-09-22T19:29:34Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-09-22T19:29:34Z\'}, {\'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\': \'2025-09-22T19:29:35Z\'}], \'name\': \'chaiml-mistral32-deeps-89261-v16-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'134381243\', \'uid\': \'b6be8798-c4cc-4c1c-8c5f-2370f6ff56b0\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\', \'RTX_A6000\', \'L40S\']}]}]}}}, \'containerConcurrency\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.7\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'TOP_P\', \'value\': \'0.95\'}, {\'name\': \'MIN_P\', \'value\': \'0.025\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'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-mistral32-deeps-89261-v16/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\': \'26Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'26Gi\', \'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-mistral32-deeps-89261-v16-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'message\': \'Revision "chaiml-mistral32-deeps-89261-v16-profiler-predictor-00001" failed with message: 0/35 nodes are available: 2 node(s) had untolerated taint {node.kubernetes.io/unreachable: }, 33 node(s) didn\\\'t match Pod\\\'s node affinity/selector. preemption: 0/35 nodes are available: 35 Preemption is not helpful for scheduling..\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-09-22T19:29:35Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'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 0.17s
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 0.16s
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-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-mistral32-deeps-89261-v16-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\': \'2025-09-22T20:01:01Z\', \'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\': \'2025-09-22T20:01:01Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2025-09-22T20:01:01Z\'}, {\'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\': \'2025-09-22T20:01:03Z\'}], \'name\': \'chaiml-mistral32-deeps-89261-v16-profiler\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'134412037\', \'uid\': \'e37c4e6c-9e0a-4ed8-a413-9e9989337557\'}, \'spec\': {\'predictor\': {\'affinity\': {\'nodeAffinity\': {\'tion\': [{\'preference\': {\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\']}]}, \'weight\': 5}], \'requiredDuringSchedulingIgnoredDuringExecution\': {\'nodeSelectorTerms\': [{\'matchExpressions\': [{\'key\': \'gpu.nvidia.com/class\', \'operator\': \'In\', \'values\': [\'A100_NVLINK_80GB\', \'RTX_A6000\', \'L40S\']}]}]}}}, \'containerConcurrency\': 0, \'containers\': [{\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.7\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.4\'}, {\'name\': \'TOP_P\', \'value\': \'0.95\'}, {\'name\': \'MIN_P\', \'value\': \'0.025\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'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-mistral32-deeps-89261-v16/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\': \'26Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'26Gi\', \'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-mistral32-deeps-89261-v16-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'message\': \'Revision "chaiml-mistral32-deeps-89261-v16-profiler-predictor-00001" failed with message: 0/35 nodes are available: 2 node(s) had untolerated taint {node.kubernetes.io/unreachable: }, 33 node(s) didn\\\'t match Pod\\\'s node affinity/selector. preemption: 0/35 nodes are available: 35 Preemption is not helpful for scheduling..\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'message\': \'Configuration "chaiml-mistral32-deeps-89261-v16-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-09-22T20:01:03Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'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 0.19s
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 0.51s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.38s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Tearing down inference service chaiml-mistral32-deeps-89261-v16-profiler
%s, retrying in %s seconds...
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.47s
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 0.49s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.37s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral32-deeps-89261-v16-profiler
Ignoring service chaiml-mistral32-deeps-89261-v16-profiler already deployed
Waiting for inference service chaiml-mistral32-deeps-89261-v16-profiler to be ready
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.52s
Shutdown handler de-registered
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem
chaiml-mistral32-deeps_89261_v16 status is now protected due to ABTestQueueItem