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cycy233-l3-p-v2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v2-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ /___/ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v2-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v2-v1-mkmlizer: Downloaded to shared memory in 39.467s
cycy233-l3-p-v2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc4nfszs3, device:0
cycy233-l3-p-v2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v2-v1-mkmlizer: quantized model in 25.257s
cycy233-l3-p-v2-v1-mkmlizer: Processed model cycy233/L3-p-v2 in 64.724s
cycy233-l3-p-v2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v2-v1
cycy233-l3-p-v2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-v1/config.json
cycy233-l3-p-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-v1/tokenizer_config.json
cycy233-l3-p-v2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v2-v1/special_tokens_map.json
cycy233-l3-p-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v2-v1/tokenizer.json
cycy233-l3-p-v2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v2-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v2-v1-mkmlizer completed after 83.61s with status: succeeded
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Pipeline stage MKMLizer completed in 84.65s
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Inference service cycy233-l3-p-v2-v1 ready after 160.60012674331665s
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Received healthy response to inference request in 2.055384874343872s
Received healthy response to inference request in 1.8341996669769287s
Received healthy response to inference request in 1.582505226135254s
Received healthy response to inference request in 1.7569398880004883s
Received healthy response to inference request in 1.5035350322723389s
5 requests
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5th percentile: 1.5193290710449219
10th percentile: 1.5351231098175049
20th percentile: 1.566711187362671
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70th percentile: 1.8187477111816406
80th percentile: 1.8784367084503175
90th percentile: 1.9669107913970947
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v2-v1-profiler-predictor-00001-deployment-54dfdc5b:/code/chaiverse_profiler_1726023827 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v2-v1-profiler-predictor-00001-deployment-54dfdc5b --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726023827 && python profiles.py profile --best_of_n 16 --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_1726023827/summary.json'
kubectl exec -it cycy233-l3-p-v2-v1-profiler-predictor-00001-deployment-54dfdc5b --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726023827/summary.json'
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