Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name zonemercy-lexens-v2-12b0-2061-v5-mkmlizer
Waiting for job on zonemercy-lexens-v2-12b0-2061-v5-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
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zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: Downloaded to shared memory in 36.107s
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpotfprawj, device:0
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: quantized model in 38.129s
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: Processed model zonemercy/LexEns-v2-12b01e5r256 in 74.236s
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5/config.json
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5/special_tokens_map.json
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5/tokenizer_config.json
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5/tokenizer.json
zonemercy-lexens-v2-12b0-2061-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-lexens-v2-12b0-2061-v5/flywheel_model.0.safetensors
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Job zonemercy-lexens-v2-12b0-2061-v5-mkmlizer completed after 103.46s with status: succeeded
Stopping job with name zonemercy-lexens-v2-12b0-2061-v5-mkmlizer
Pipeline stage MKMLizer completed in 103.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-lexens-v2-12b0-2061-v5
Waiting for inference service zonemercy-lexens-v2-12b0-2061-v5 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service zonemercy-lexens-v2-12b0-2061-v5 ready after 200.68134999275208s
Pipeline stage MKMLDeployer completed in 201.22s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.548748254776001s
Received healthy response to inference request in 1.465942621231079s
Received healthy response to inference request in 1.6278529167175293s
Received healthy response to inference request in 1.3332743644714355s
Received healthy response to inference request in 1.647449254989624s
5 requests
0 failed requests
5th percentile: 1.3598080158233643
10th percentile: 1.386341667175293
20th percentile: 1.4394089698791503
30th percentile: 1.4983246803283692
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95th percentile: 3.1684884548187253
99th percentile: 3.4726962947845457
mean time: 1.9246534824371337
Pipeline stage StressChecker completed in 11.36s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.25s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.10s
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zonemercy-lexens-v2-12b0_2061_v5 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2385.89s
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zonemercy-lexens-v2-12b0_2061_v5 status is now inactive due to auto deactivation removed underperforming models