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Starting job with name cycy233-l3-p-v1-c4-v4-mkmlizer
Waiting for job on cycy233-l3-p-v1-c4-v4-mkmlizer to finish
cycy233-l3-p-v1-c4-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ /___/ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-l3-p-v1-c4-v4-mkmlizer: Downloaded to shared memory in 22.355s
cycy233-l3-p-v1-c4-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0naae383, device:0
cycy233-l3-p-v1-c4-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v1-c4-v4-mkmlizer: quantized model in 25.789s
cycy233-l3-p-v1-c4-v4-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 48.144s
cycy233-l3-p-v1-c4-v4-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4
cycy233-l3-p-v1-c4-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4/config.json
cycy233-l3-p-v1-c4-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4/special_tokens_map.json
cycy233-l3-p-v1-c4-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4/tokenizer_config.json
cycy233-l3-p-v1-c4-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4/tokenizer.json
cycy233-l3-p-v1-c4-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v4/flywheel_model.0.safetensors
cycy233-l3-p-v1-c4-v4-mkmlizer:
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Job cycy233-l3-p-v1-c4-v4-mkmlizer completed after 65.08s with status: succeeded
Stopping job with name cycy233-l3-p-v1-c4-v4-mkmlizer
Pipeline stage MKMLizer completed in 66.44s
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Creating inference service cycy233-l3-p-v1-c4-v4
Waiting for inference service cycy233-l3-p-v1-c4-v4 to be ready
Failed to get response for submission blend_jugel_2024-09-09: ('http://chaiml-elo-alignment-run-3-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Inference service cycy233-l3-p-v1-c4-v4 ready after 160.77799654006958s
Pipeline stage MKMLDeployer completed in 161.22s
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Received healthy response to inference request in 1.7239856719970703s
Received healthy response to inference request in 1.3135442733764648s
Received healthy response to inference request in 1.571608066558838s
Received healthy response to inference request in 1.4296529293060303s
Received healthy response to inference request in 1.940007209777832s
5 requests
0 failed requests
5th percentile: 1.336766004562378
10th percentile: 1.359987735748291
20th percentile: 1.4064311981201172
30th percentile: 1.4580439567565917
40th percentile: 1.5148260116577148
50th percentile: 1.571608066558838
60th percentile: 1.632559108734131
70th percentile: 1.6935101509094237
80th percentile: 1.7671899795532227
90th percentile: 1.8535985946655273
95th percentile: 1.8968029022216797
99th percentile: 1.9313663482666015
mean time: 1.595759630203247
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v4-profiler-predictor-00001-deployment-8cbgc:/code/chaiverse_profiler_1726044182 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v4-profiler-predictor-00001-deployment-8cbgc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726044182 && python profiles.py profile --best_of_n 4 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726044182/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v4-profiler-predictor-00001-deployment-8cbgc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726044182/summary.json'
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