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Starting job with name zonemercy-vingt-deux-v1-1e5-v22-mkmlizer
Waiting for job on zonemercy-vingt-deux-v1-1e5-v22-mkmlizer to finish
Shutdown handler not registered because Python interpreter is not running in the main thread
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Starting job with name zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer
Waiting for job on zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer to finish
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ _____ __ __ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ /___/ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ Version: 0.11.12 ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ https://mk1.ai ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ belonging to: ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ Chai Research Corp. ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ _____ __ __ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ /___/ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ Version: 0.11.12 ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ https://mk1.ai ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ belonging to: ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ Chai Research Corp. ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ║ ║
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: Downloaded to shared memory in 89.585s
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0zyjeqwz, device:0
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: Downloaded to shared memory in 84.764s
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5gipl6jr, device:0
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: quantized model in 47.212s
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: Processed model zonemercy/Vingt-Deux-v1-1e5 in 136.797s
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/config.json
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/special_tokens_map.json
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/tokenizer_config.json
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/tokenizer.json
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: quantized model in 47.752s
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: Processed model zonemercy/Vingt-Deux-v3-1e5v2 in 132.516s
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/config.json
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/special_tokens_map.json
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/tokenizer_config.json
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/tokenizer.json
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/flywheel_model.1.safetensors
zonemercy-vingt-deux-v1-1e5-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v22/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v1-1e5-v22-mkmlizer completed after 174.43s with status: succeeded
Stopping job with name zonemercy-vingt-deux-v1-1e5-v22-mkmlizer
Pipeline stage MKMLizer completed in 174.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zonemercy-vingt-deux-v1-1e5-v22
Waiting for inference service zonemercy-vingt-deux-v1-1e5-v22 to be ready
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/flywheel_model.1.safetensors
zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v3-1e5v2-v7/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer completed after 174.69s with status: succeeded
Stopping job with name zonemercy-vingt-deux-v3-1e5v2-v7-mkmlizer
Pipeline stage MKMLizer completed in 175.09s
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 zonemercy-vingt-deux-v3-1e5v2-v7
Waiting for inference service zonemercy-vingt-deux-v3-1e5v2-v7 to be ready
Inference service zonemercy-vingt-deux-v1-1e5-v22 ready after 220.5965507030487s
Pipeline stage MKMLDeployer completed in 220.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9374101161956787s
Received healthy response to inference request in 2.4068915843963623s
Inference service zonemercy-vingt-deux-v3-1e5v2-v7 ready after 220.56077885627747s
Pipeline stage MKMLDeployer completed in 220.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.338533639907837s
Received healthy response to inference request in 2.790642261505127s
Received healthy response to inference request in 2.6604983806610107s
Received healthy response to inference request in 2.5478463172912598s
Received healthy response to inference request in 2.359996795654297s
5 requests
0 failed requests
5th percentile: 2.342826271057129
10th percentile: 2.3471189022064207
20th percentile: 2.355704164505005
30th percentile: 2.36937575340271
40th percentile: 2.388133668899536
50th percentile: 2.4068915843963623
60th percentile: 2.5083343029022216
70th percentile: 2.609777021408081
80th percentile: 2.7158807277679444
90th percentile: 2.8266454219818113
95th percentile: 2.882027769088745
99th percentile: 2.926333646774292
Received healthy response to inference request in 2.444880247116089s
mean time: 2.540666103363037
Pipeline stage StressChecker completed in 15.14s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.13s
Shutdown handler de-registered
Received healthy response to inference request in 2.4729690551757812s
Received healthy response to inference request in 2.4729690551757812s
zonemercy-vingt-deux-v1-1e5_v22 status is now deployed due to DeploymentManager action
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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-vingt-deux-v1-1e5-v22-profiler
Waiting for inference service zonemercy-vingt-deux-v1-1e5-v22-profiler to be ready
Inference service zonemercy-vingt-deux-v1-1e5-v22-profiler ready after 220.5005660057068s
Pipeline stage MKMLProfilerDeployer completed in 220.91s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deuxa84a338366cd153e7a42f4163a759877-deploz6gm5:/code/chaiverse_profiler_1727339509 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deuxa84a338366cd153e7a42f4163a759877-deploz6gm5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727339509 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727339509/summary.json'
kubectl exec -it zonemercy-vingt-deuxa84a338366cd153e7a42f4163a759877-deploz6gm5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727339509/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1561.20s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-vingt-deux-v1-1e5-v22-profiler is running
Tearing down inference service zonemercy-vingt-deux-v1-1e5-v22-profiler
Service zonemercy-vingt-deux-v1-1e5-v22-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.42s
Shutdown handler de-registered
zonemercy-vingt-deux-v1-1e5_v22 status is now inactive due to auto deactivation removed underperforming models
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService blend-rofur-2024-10-03. 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\': \'2024-10-04T08:24:22Z\', \'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:containerConcurrency\': {}, \'f:containers\': {}, \'f:imagePullSecrets\': {}, \'f:timeout\': {}, \'f:volumes\': {}}}}, \'manager\': \'OpenAPI-Generator\', \'operation\': \'Update\', \'time\': \'2024-10-04T08:24:22Z\'}, {\'apiVersion\': \'serving.kserve.io/v1beta1\', \'fieldsType\': \'FieldsV1\', \'fieldsV1\': {\'f:metadata\': {\'f:finalizers\': {\'.\': {}, \'v:"inferenceservice.finalizers"\': {}}}}, \'manager\': \'manager\', \'operation\': \'Update\', \'time\': \'2024-10-04T08:24:22Z\'}], \'name\': \'blend-rofur-2024-10-03\', \'namespace\': \'tenant-chaiml-guanaco\', \'resourceVersion\': \'110876429\', \'uid\': \'34297235-bdd6-4da6-8789-b3463b564126\'}, \'spec\': {\'predictor\': {\'containerConcurrency\': 0, \'containers\': [{\'args\': [\'/code/mkml_inference_service/router.py\'], \'command\': [\'python3\'], \'env\': [{\'name\': \'URL_ROUTE\', \'value\': \'GPT-J-6B-lit-v2\'}, {\'name\': \'NUM_PARTITIONS\', \'value\': \'4\'}, {\'name\': \'PORT_MAPPING\', \'value\': \'{"zonemercy-virgo-edit-v1-1e5_v13": 8081, "chaiml-lexical-nemo-v4-1k1e5_v3": 8082, "zonemercy-lexical-nemov8_5966_v9": 8083, "sao10k-mn-12b-lyra-v4a1_v9": 8084}\'}, {\'name\': \'NVIDIA_VISIBLE_DEVICES\', \'value\': \'none\'}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:production_blend_v2\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'kserve-container\', \'ports\': [{\'containerPort\': 8080, \'protocol\': \'TCP\'}], \'readinessProbe\': {\'failureThreshold\': 5, \'httpGet\': {\'path\': \'/health\', \'port\': 8080}, \'periodSeconds\': 5, \'timeoutSeconds\': 10}, \'resources\': {\'limits\': {\'cpu\': \'1\', \'memory\': \'1Gi\', \'nvidia.com/gpu\': \'0\'}, \'requests\': {\'cpu\': \'1\', \'memory\': \'1Gi\', \'nvidia.com/gpu\': \'0\'}}, \'volumeMounts\': [{\'mountPath\': \'/dev/shm\', \'name\': \'shared-memory-cache\'}]}, {\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.9\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.05\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\\\\\\\\\n", "</s>", "###", "Bot:", "User:", "You:", "<|im_end|>"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'64\'}, {\'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\': \'\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/zonemercy-virgo-edit-v1-1e5_v13_model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}, {\'name\': \'SERVER_PORT\', \'value\': \'8081\'}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:cks_kube_config_v3\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'zonemercy-virgo-edit-v1-1e5-v13\', \'readinessProbe\': {\'failureThreshold\': 5, \'httpGet\': {\'path\': \'/metrics\', \'port\': 8081}, \'periodSeconds\': 5, \'timeoutSeconds\': 10}, \'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\'}]}, {\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.9\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.05\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\\\\\\\\\n", "</s>", "###", "Bot:", "User:", "You:", "<|im_end|>"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'64\'}, {\'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\': \'\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/chaiml-lexical-nemo-v4-1k1e5-v3\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/chaiml-lexical-nemo-v4-1k1e5_v3_model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}, {\'name\': \'SERVER_PORT\', \'value\': \'8082\'}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:cks_kube_config_v3\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'chaiml-lexical-nemo-v4-1k1e5-v3\', \'readinessProbe\': {\'failureThreshold\': 5, \'httpGet\': {\'path\': \'/metrics\', \'port\': 8082}, \'periodSeconds\': 5, \'timeoutSeconds\': 10}, \'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\'}]}, {\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.9\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.05\'}, {\'name\': \'TOP_K\', \'value\': \'80\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\\\\\\\\\n", "</s>", "###", "Bot:", "User:", "You:", "<|im_end|>"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'64\'}, {\'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\': \'\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/zonemercy-lexical-nemov8-5966-v9\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/zonemercy-lexical-nemov8_5966_v9_model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}, {\'name\': \'SERVER_PORT\', \'value\': \'8083\'}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:cks_kube_config_v3\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'zonemercy-lexical-nemov8-5966-v9\', \'readinessProbe\': {\'failureThreshold\': 5, \'httpGet\': {\'path\': \'/metrics\', \'port\': 8083}, \'periodSeconds\': 5, \'timeoutSeconds\': 10}, \'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\'}]}, {\'env\': [{\'name\': \'MAX_TOKEN_INPUT\', \'value\': \'1024\'}, {\'name\': \'BEST_OF\', \'value\': \'8\'}, {\'name\': \'TEMPERATURE\', \'value\': \'0.75\'}, {\'name\': \'PRESENCE_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'FREQUENCY_PENALTY\', \'value\': \'0.0\'}, {\'name\': \'TOP_P\', \'value\': \'1.0\'}, {\'name\': \'MIN_P\', \'value\': \'0.1\'}, {\'name\': \'TOP_K\', \'value\': \'40\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\\\\\\\\\n", "\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\n", "\\\\\\\\\\\\\\\\nYou:", "[/INST]", "<|im_end|>", "</s>"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'64\'}, {\'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\': \'\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v9\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/sao10k-mn-12b-lyra-v4a1_v9_model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}, {\'name\': \'SERVER_PORT\', \'value\': \'8084\'}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:cks_kube_config_v3\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'sao10k-mn-12b-lyra-v4a1-v9\', \'readinessProbe\': {\'failureThreshold\': 5, \'httpGet\': {\'path\': \'/metrics\', \'port\': 8084}, \'periodSeconds\': 5, \'timeoutSeconds\': 10}, \'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\'}], \'timeout\': 60, \'volumes\': [{\'emptyDir\': {\'medium\': \'Memory\'}, \'name\': \'shared-memory-cache\'}]}}}')
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
Tearing down inference service blend-rofur-2024-10-03
Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of zonemercy-vingt-deux-v1-1e5_v22
%s, retrying in %s seconds...
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Shutdown handler de-registered
clean up pipeline due to error=DeploymentError('404\nReason: Not Found\nHTTP response headers: HTTPHeaderDict({\'Audit-Id\': \'d405c341-6219-452b-9899-3510ef7db538, f4f10eba-99f6-40e9-bf19-86b4dbde1c6e\', \'Cache-Control\': \'no-cache, private, no-cache, private\', \'Content-Length\': \'284\', \'Content-Type\': \'application/json\', \'Date\': \'Fri, 04 Oct 2024 08:36:14 GMT\', \'X-Kubernetes-Pf-Flowschema-Uid\': \'514c121f-0f8a-452c-aa56-437270a02244\', \'X-Kubernetes-Pf-Prioritylevel-Uid\': \'48ad322a-4034-4c03-9ea4-7745e1e2c31a\'})\nHTTP response body: b\'{"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"inferenceservices.serving.kserve.io \\\\"blend-rofur-2024-10-03\\\\" not found","reason":"NotFound","details":{"name":"blend-rofur-2024-10-03","group":"serving.kserve.io","kind":"inferenceservices"},"code":404}\\n\'\nOriginal traceback: \n File "/usr/local/lib/python3.12/site-packages/kubernetes/dynamic/client.py", line 55, in inner\n resp = func(self, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/dynamic/client.py", line 273, in request\n api_response = self.client.call_api(\n ^^^^^^^^^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/client/api_client.py", line 348, in call_api\n return self.__call_api(resource_path, method,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/client/api_client.py", line 180, in __call_api\n response_data = self.request(\n ^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/client/api_client.py", line 415, in request\n return self.rest_client.DELETE(url,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/client/rest.py", line 270, in DELETE\n return self.request("DELETE", url,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n File "/usr/local/lib/python3.12/site-packages/kubernetes/client/rest.py", line 238, in request\n raise ApiException(http_resp=r)\n')
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clean up pipeline due to error=DeploymentError('Exception when calling CustomObjectsApi->get_namespaced_custom_object: (404)\nReason: Not Found\nHTTP response headers: HTTPHeaderDict({\'Audit-Id\': \'f7e3f7e4-ca28-4b23-ae56-bc9a1635d19f, a1548554-b16b-49bb-af93-14479cded20f\', \'Cache-Control\': \'no-cache, private, no-cache, private\', \'Content-Length\': \'284\', \'Content-Type\': \'application/json\', \'Date\': \'Fri, 04 Oct 2024 08:35:20 GMT\', \'X-Kubernetes-Pf-Flowschema-Uid\': \'514c121f-0f8a-452c-aa56-437270a02244\', \'X-Kubernetes-Pf-Prioritylevel-Uid\': \'48ad322a-4034-4c03-9ea4-7745e1e2c31a\'})\nHTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"inferenceservices.serving.kserve.io \\"blend-rofur-2024-10-03\\" not found","reason":"NotFound","details":{"name":"blend-rofur-2024-10-03","group":"serving.kserve.io","kind":"inferenceservices"},"code":404}\n\n\n')
run pipeline %s
Shutdown handler not registered because Python interpreter is not running in the main thread
Creating inference service blend-rofur-2024-10-03
Deleting key zonemercy-vingt-deux-v3-1e5v2-v7/config.json from bucket guanaco-mkml-models
Deleting key zonemercy-vingt-deux-v3-1e5v2-v6/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Pipeline stage MKMLModelDeleter completed in 191.52s
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Deleting key zonemercy-vingt-deux-v3-1e5v0-v5/tokenizer.json from bucket guanaco-mkml-models
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Waiting for inference service blend-rofur-2024-10-03 to be ready
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Creating inference service blend-rofur-2024-10-03
Pipeline stage MKMLModelDeleter completed in 53.68s
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Ignoring service blend-rofur-2024-10-03 already deployed
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Tearing down inference service blend-rofur-2024-10-03
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Pipeline stage ProductionBlendMKMLTemplater completed in 18.03s
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Tearing down inference service blend-rofur-2024-10-03
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Pipeline stage MKMLDeleter completed in 116.77s
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Creating inference service blend-rofur-2024-10-03
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