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Running pipeline stage MKMLizer
Starting job with name chaiml-llama8b-rmflow-r-13988-v1-mkmlizer
Waiting for job on chaiml-llama8b-rmflow-r-13988-v1-mkmlizer to finish
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chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Version: 0.29.1 ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ belonging to: ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ║ ║
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: Downloaded to shared memory in 29.383s
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: Checking if ChaiML/llama8b-rmflow-rm-pointwise-datav1-500k-2e-64mckpt-resetlin-s025 already exists in ChaiML
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp352m11p6, device:0
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: quantized model in 19.496s
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: Processed model ChaiML/llama8b-rmflow-rm-pointwise-datav1-500k-2e-64mckpt-resetlin-s025 in 48.879s
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1/config.json
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1/special_tokens_map.json
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1/tokenizer_config.json
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1/tokenizer.json
chaiml-llama8b-rmflow-r-13988-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama8b-rmflow-r-13988-v1/flywheel_model.0.safetensors
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Job chaiml-llama8b-rmflow-r-13988-v1-mkmlizer completed after 73.93s with status: succeeded
Stopping job with name chaiml-llama8b-rmflow-r-13988-v1-mkmlizer
Pipeline stage MKMLizer completed in 74.42s
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Creating inference service chaiml-llama8b-rmflow-r-13988-v1
Waiting for inference service chaiml-llama8b-rmflow-r-13988-v1 to be ready
Inference service chaiml-llama8b-rmflow-r-13988-v1 ready after 110.39338874816895s
Pipeline stage MKMLDeployer completed in 110.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 5.076437473297119s
Received healthy response to inference request in 2.354393720626831s
Received healthy response to inference request in 4.627485275268555s
Received healthy response to inference request in 2.7699949741363525s
Received healthy response to inference request in 2.90044903755188s
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99th percentile: 5.058479385375977
mean time: 3.5457520961761473
Pipeline stage StressChecker completed in 19.11s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 8777.09s
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chaiml-llama8b-rmflow-r_13988_v1 status is now inactive due to auto deactivation removed underperforming models
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