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Running pipeline stage MKMLizer
Starting job with name jic062-nemo-v2-2-v1-mkmlizer
Waiting for job on jic062-nemo-v2-2-v1-mkmlizer to finish
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jic062-nemo-v2-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v2-2-v1-mkmlizer: ║ _____ __ __ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-nemo-v2-2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-nemo-v2-2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ /___/ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ Version: 0.11.28 ║
jic062-nemo-v2-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-nemo-v2-2-v1-mkmlizer: ║ https://mk1.ai ║
jic062-nemo-v2-2-v1-mkmlizer: ║ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-nemo-v2-2-v1-mkmlizer: ║ belonging to: ║
jic062-nemo-v2-2-v1-mkmlizer: ║ ║
jic062-nemo-v2-2-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-nemo-v2-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-nemo-v2-2-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
jic062-nemo-v2-2-v1-mkmlizer: ║ ║
jic062-nemo-v2-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-nemo-v2-2-v1-mkmlizer: Downloaded to shared memory in 50.983s
jic062-nemo-v2-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6r3xxtvq, device:0
jic062-nemo-v2-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-nemo-v2-2-v1-mkmlizer: quantized model in 37.368s
jic062-nemo-v2-2-v1-mkmlizer: Processed model jic062/Nemo-v2.2 in 88.351s
jic062-nemo-v2-2-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v2-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v2-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v2-2-v1
jic062-nemo-v2-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v2-2-v1/config.json
jic062-nemo-v2-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v2-2-v1/special_tokens_map.json
jic062-nemo-v2-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v2-2-v1/tokenizer_config.json
jic062-nemo-v2-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v2-2-v1/tokenizer.json
jic062-nemo-v2-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v2-2-v1/flywheel_model.0.safetensors
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Job jic062-nemo-v2-2-v1-mkmlizer completed after 114.82s with status: succeeded
Stopping job with name jic062-nemo-v2-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.37s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-nemo-v2-2-v1
Waiting for inference service jic062-nemo-v2-2-v1 to be ready
Failed to get response for submission bbchicago-nana-nemo-12b-v1-0_v8: ('http://bbchicago-nana-nemo-12b-v1-0-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
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Inference service jic062-nemo-v2-2-v1 ready after 170.69666028022766s
Pipeline stage MKMLDeployer completed in 171.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1308281421661377s
Received healthy response to inference request in 2.0892066955566406s
Received healthy response to inference request in 1.6685378551483154s
Received healthy response to inference request in 2.018707275390625s
Received healthy response to inference request in 1.9066107273101807s
5 requests
0 failed requests
5th percentile: 1.7161524295806885
10th percentile: 1.7637670040130615
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99th percentile: 2.129163284301758
mean time: 1.96277813911438
Pipeline stage StressChecker completed in 11.71s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.85s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2902.74s
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