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Running pipeline stage MKMLizer
Starting job with name rica40325-filter-mulsft-36664-v1-mkmlizer
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rica40325-filter-mulsft-36664-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Version: 0.27.1+vampire_v3 ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ belonging to: ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ║ ║
rica40325-filter-mulsft-36664-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filter-mulsft-36664-v1-mkmlizer: Downloaded to shared memory in 79.750s
rica40325-filter-mulsft-36664-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9_bjvh0a, device:0
rica40325-filter-mulsft-36664-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filter-mulsft-36664-v1-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-filter-mulsft-36664-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-filter-mulsft-36664-v1-mkmlizer: quantized model in 35.291s
rica40325-filter-mulsft-36664-v1-mkmlizer: Processed model rica40325/filter-mulsft-v5-200 in 115.042s
rica40325-filter-mulsft-36664-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filter-mulsft-36664-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filter-mulsft-36664-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filter-mulsft-36664-v1
rica40325-filter-mulsft-36664-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filter-mulsft-36664-v1/tokenizer_config.json
rica40325-filter-mulsft-36664-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filter-mulsft-36664-v1/tokenizer.json
rica40325-filter-mulsft-36664-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filter-mulsft-36664-v1/flywheel_model.0.safetensors
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Job rica40325-filter-mulsft-36664-v1-mkmlizer completed after 135.34s with status: succeeded
Stopping job with name rica40325-filter-mulsft-36664-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.87s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service rica40325-filter-mulsft-36664-v1
Waiting for inference service rica40325-filter-mulsft-36664-v1 to be ready
Inference service rica40325-filter-mulsft-36664-v1 ready after 120.48483228683472s
Pipeline stage MKMLDeployer completed in 121.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.155970811843872s
Received healthy response to inference request in 1.4564752578735352s
Received healthy response to inference request in 1.8713865280151367s
Received healthy response to inference request in 1.910839319229126s
Received healthy response to inference request in 1.4852626323699951s
5 requests
0 failed requests
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2941.21s
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