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Running pipeline stage MKMLizer
Starting job with name chaiml-chaiml-sft-horror-v3-mkmlizer
Waiting for job on chaiml-chaiml-sft-horror-v3-mkmlizer to finish
chaiml-chaiml-sft-horror-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ _____ __ __ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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chaiml-chaiml-sft-horror-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ /___/ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Version: 0.10.1 ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ belonging to: ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-chaiml-sft-horror-v3-mkmlizer: Downloaded to shared memory in 92.739s
chaiml-chaiml-sft-horror-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvs9sp6jc, device:0
chaiml-chaiml-sft-horror-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-chaiml-sft-horror-v3-mkmlizer: quantized model in 40.533s
chaiml-chaiml-sft-horror-v3-mkmlizer: Processed model ChaiML/chaiml-sft-horror in 133.272s
chaiml-chaiml-sft-horror-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-chaiml-sft-horror-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-chaiml-sft-horror-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/config.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/special_tokens_map.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/tokenizer_config.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/tokenizer.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/flywheel_model.0.safetensors
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Job chaiml-chaiml-sft-horror-v3-mkmlizer completed after 159.25s with status: succeeded
Stopping job with name chaiml-chaiml-sft-horror-v3-mkmlizer
Pipeline stage MKMLizer completed in 164.24s
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Pipeline stage MKMLTemplater completed in 0.70s
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Creating inference service chaiml-chaiml-sft-horror-v3
Waiting for inference service chaiml-chaiml-sft-horror-v3 to be ready
Inference service chaiml-chaiml-sft-horror-v3 ready after 201.41521286964417s
Pipeline stage MKMLDeployer completed in 202.06s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.401135206222534s
Received healthy response to inference request in 2.1187493801116943s
Received healthy response to inference request in 2.3247454166412354s
Received healthy response to inference request in 2.2246432304382324s
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Received healthy response to inference request in 2.1676056385040283s
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5 requests
0 failed requests
5th percentile: 2.128520631790161
10th percentile: 2.1382918834686278
20th percentile: 2.1578343868255616
30th percentile: 2.179013156890869
40th percentile: 2.201828193664551
50th percentile: 2.2246432304382324
60th percentile: 2.2646841049194335
70th percentile: 2.3047249794006346
80th percentile: 2.340023374557495
90th percentile: 2.3705792903900145
95th percentile: 2.3858572483062743
99th percentile: 2.398079614639282
mean time: 2.2473757743835447
Pipeline stage StressChecker completed in 12.80s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.14s
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Inference service chaiml-chaiml-sft-horror-v3-profiler ready after 200.46677207946777s
Pipeline stage MKMLProfilerDeployer completed in 200.83s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr:/code/chaiverse_profiler_1726774394 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726774394 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726774394/summary.json'
kubectl exec -it chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726774394/summary.json'
Pipeline stage MKMLProfilerRunner completed in 954.04s
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