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Running pipeline stage MKMLizer
Starting job with name rica40325-nsfw-free-sft-v7-mkmlizer
Waiting for job on rica40325-nsfw-free-sft-v7-mkmlizer to finish
rica40325-nsfw-free-sft-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-nsfw-free-sft-v7-mkmlizer: ║ _____ __ __ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ /___/ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ Version: 0.11.12 ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ https://mk1.ai ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ belonging to: ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ Chai Research Corp. ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rica40325-nsfw-free-sft-v7-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-nsfw-free-sft-v7-mkmlizer: Downloaded to shared memory in 45.756s
rica40325-nsfw-free-sft-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpft6li0f_, device:0
rica40325-nsfw-free-sft-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-nsfw-free-sft-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
rica40325-nsfw-free-sft-v7-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-nsfw-free-sft-v7-mkmlizer: quantized model in 36.532s
rica40325-nsfw-free-sft-v7-mkmlizer: Processed model rica40325/nsfw_free_sft in 82.289s
rica40325-nsfw-free-sft-v7-mkmlizer: creating bucket guanaco-mkml-models
rica40325-nsfw-free-sft-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-nsfw-free-sft-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v7
rica40325-nsfw-free-sft-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v7/config.json
rica40325-nsfw-free-sft-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v7/special_tokens_map.json
rica40325-nsfw-free-sft-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v7/flywheel_model.0.safetensors
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Job rica40325-nsfw-free-sft-v7-mkmlizer completed after 103.97s with status: succeeded
Stopping job with name rica40325-nsfw-free-sft-v7-mkmlizer
Pipeline stage MKMLizer completed in 104.53s
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Creating inference service rica40325-nsfw-free-sft-v7
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Inference service rica40325-nsfw-free-sft-v7 ready after 161.07559084892273s
Pipeline stage MKMLDeployer completed in 161.65s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0639748573303223s
Received healthy response to inference request in 1.6543467044830322s
Received healthy response to inference request in 1.6686429977416992s
Received healthy response to inference request in 1.846703052520752s
Received healthy response to inference request in 1.9018628597259521s
5 requests
0 failed requests
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90th percentile: 1.9991300582885743
95th percentile: 2.031552457809448
99th percentile: 2.0574903774261473
mean time: 1.8271060943603517
Pipeline stage StressChecker completed in 10.47s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 3.14s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2649.66s
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