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Running pipeline stage MKMLizer
Starting job with name deeppin-red-paper-v1-mkmlizer
Waiting for job on deeppin-red-paper-v1-mkmlizer to finish
deeppin-red-paper-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
deeppin-red-paper-v1-mkmlizer: ║ _____ __ __ ║
deeppin-red-paper-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
deeppin-red-paper-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
deeppin-red-paper-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
deeppin-red-paper-v1-mkmlizer: ║ /___/ ║
deeppin-red-paper-v1-mkmlizer: ║ ║
deeppin-red-paper-v1-mkmlizer: ║ Version: 0.11.12 ║
deeppin-red-paper-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
deeppin-red-paper-v1-mkmlizer: ║ https://mk1.ai ║
deeppin-red-paper-v1-mkmlizer: ║ ║
deeppin-red-paper-v1-mkmlizer: ║ The license key for the current software has been verified as ║
deeppin-red-paper-v1-mkmlizer: ║ belonging to: ║
deeppin-red-paper-v1-mkmlizer: ║ ║
deeppin-red-paper-v1-mkmlizer: ║ Chai Research Corp. ║
deeppin-red-paper-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
deeppin-red-paper-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
deeppin-red-paper-v1-mkmlizer: ║ ║
deeppin-red-paper-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
deeppin-red-paper-v1-mkmlizer: Downloaded to shared memory in 36.315s
deeppin-red-paper-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_dwkmhuz, device:0
deeppin-red-paper-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deeppin-red-paper-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.
deeppin-red-paper-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
deeppin-red-paper-v1-mkmlizer: quantized model in 27.505s
deeppin-red-paper-v1-mkmlizer: Processed model deeppin/red-paper in 63.821s
deeppin-red-paper-v1-mkmlizer: creating bucket guanaco-mkml-models
deeppin-red-paper-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
deeppin-red-paper-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/deeppin-red-paper-v1
deeppin-red-paper-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/deeppin-red-paper-v1/tokenizer.json
deeppin-red-paper-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deeppin-red-paper-v1/flywheel_model.0.safetensors
deeppin-red-paper-v1-mkmlizer:
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Job deeppin-red-paper-v1-mkmlizer completed after 94.09s with status: succeeded
Stopping job with name deeppin-red-paper-v1-mkmlizer
Pipeline stage MKMLizer completed in 94.56s
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Inference service deeppin-red-paper-v1 ready after 120.47235107421875s
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Received healthy response to inference request in 1.4519078731536865s
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