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Running pipeline stage MKMLizer
Starting job with name rica40325-nsfw-free-sft-v4-mkmlizer
Waiting for job on rica40325-nsfw-free-sft-v4-mkmlizer to finish
rica40325-nsfw-free-sft-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-nsfw-free-sft-v4-mkmlizer: ║ _____ __ __ ║
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rica40325-nsfw-free-sft-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ /___/ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ Version: 0.11.12 ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ https://mk1.ai ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ belonging to: ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ Chai Research Corp. ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rica40325-nsfw-free-sft-v4-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-nsfw-free-sft-v4-mkmlizer: Downloaded to shared memory in 34.004s
rica40325-nsfw-free-sft-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprs5uu_5c, device:0
rica40325-nsfw-free-sft-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-nsfw-free-sft-v4-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-v4-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-nsfw-free-sft-v4-mkmlizer: quantized model in 36.236s
rica40325-nsfw-free-sft-v4-mkmlizer: Processed model rica40325/nsfw_free_sft in 70.240s
rica40325-nsfw-free-sft-v4-mkmlizer: creating bucket guanaco-mkml-models
rica40325-nsfw-free-sft-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v4/config.json
rica40325-nsfw-free-sft-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v4/special_tokens_map.json
rica40325-nsfw-free-sft-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v4/tokenizer_config.json
rica40325-nsfw-free-sft-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v4/tokenizer.json
rica40325-nsfw-free-sft-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v4/flywheel_model.0.safetensors
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Job rica40325-nsfw-free-sft-v4-mkmlizer completed after 104.4s with status: succeeded
Stopping job with name rica40325-nsfw-free-sft-v4-mkmlizer
Pipeline stage MKMLizer completed in 104.95s
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Creating inference service rica40325-nsfw-free-sft-v4
Waiting for inference service rica40325-nsfw-free-sft-v4 to be ready
Inference service rica40325-nsfw-free-sft-v4 ready after 130.48481345176697s
Pipeline stage MKMLDeployer completed in 131.13s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.169588327407837s
Received healthy response to inference request in 1.667564868927002s
Received healthy response to inference request in 1.7391581535339355s
Received healthy response to inference request in 2.1186394691467285s
Received healthy response to inference request in 1.9164955615997314s
5 requests
0 failed requests
5th percentile: 1.6818835258483886
10th percentile: 1.6962021827697753
20th percentile: 1.7248394966125489
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70th percentile: 2.078210687637329
80th percentile: 2.12882924079895
90th percentile: 2.1492087841033936
95th percentile: 2.1593985557556152
99th percentile: 2.1675503730773924
mean time: 1.9222892761230468
Pipeline stage StressChecker completed in 11.28s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 5.40s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 1984.12s
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