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Starting job with name cycy233-l3-p-v1-c4-v3-mkmlizer
Waiting for job on cycy233-l3-p-v1-c4-v3-mkmlizer to finish
cycy233-l3-p-v1-c4-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ /___/ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║ ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c4-v3-mkmlizer: Downloaded to shared memory in 20.034s
cycy233-l3-p-v1-c4-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqbvrttte, device:0
cycy233-l3-p-v1-c4-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v1-c4-v3-mkmlizer: quantized model in 25.779s
cycy233-l3-p-v1-c4-v3-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 45.813s
cycy233-l3-p-v1-c4-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/config.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/special_tokens_map.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/tokenizer_config.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/tokenizer.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/flywheel_model.0.safetensors
cycy233-l3-p-v1-c4-v3-mkmlizer:
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Job cycy233-l3-p-v1-c4-v3-mkmlizer completed after 62.83s with status: succeeded
Stopping job with name cycy233-l3-p-v1-c4-v3-mkmlizer
Pipeline stage MKMLizer completed in 64.49s
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Creating inference service cycy233-l3-p-v1-c4-v3
Waiting for inference service cycy233-l3-p-v1-c4-v3 to be ready
Inference service cycy233-l3-p-v1-c4-v3 ready after 161.5465133190155s
Pipeline stage MKMLDeployer completed in 161.90s
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Received healthy response to inference request in 1.7728474140167236s
Received healthy response to inference request in 1.832592487335205s
Received healthy response to inference request in 1.856604814529419s
Received healthy response to inference request in 2.5556278228759766s
Received healthy response to inference request in 1.602330207824707s
5 requests
0 failed requests
5th percentile: 1.6364336490631104
10th percentile: 1.6705370903015138
20th percentile: 1.7387439727783203
30th percentile: 1.7847964286804199
40th percentile: 1.8086944580078126
50th percentile: 1.832592487335205
60th percentile: 1.8421974182128906
70th percentile: 1.8518023490905762
80th percentile: 1.9964094161987305
90th percentile: 2.2760186195373535
95th percentile: 2.415823221206665
99th percentile: 2.5276669025421143
mean time: 1.9240005493164063
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8:/code/chaiverse_profiler_1725964038 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725964038 && 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_1725964038/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725964038/summary.json'
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