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Running pipeline stage MKMLizer
Starting job with name stark2000s-axolotl-test-calm-v2-mkmlizer
Waiting for job on stark2000s-axolotl-test-calm-v2-mkmlizer to finish
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stark2000s-axolotl-test-calm-v2-mkmlizer: ║ ║
stark2000s-axolotl-test-calm-v2-mkmlizer: ║ Version: 0.11.12 ║
stark2000s-axolotl-test-calm-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
stark2000s-axolotl-test-calm-v2-mkmlizer: ║ https://mk1.ai ║
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stark2000s-axolotl-test-calm-v2-mkmlizer: Downloaded to shared memory in 34.219s
stark2000s-axolotl-test-calm-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp13sva5qf, device:0
stark2000s-axolotl-test-calm-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
stark2000s-axolotl-test-calm-v2-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.
stark2000s-axolotl-test-calm-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
stark2000s-axolotl-test-calm-v2-mkmlizer: quantized model in 27.136s
stark2000s-axolotl-test-calm-v2-mkmlizer: Processed model stark2000s/axolotl_test_calm in 61.355s
stark2000s-axolotl-test-calm-v2-mkmlizer: creating bucket guanaco-mkml-models
stark2000s-axolotl-test-calm-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
stark2000s-axolotl-test-calm-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/stark2000s-axolotl-test-calm-v2
stark2000s-axolotl-test-calm-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/stark2000s-axolotl-test-calm-v2/tokenizer.json
stark2000s-axolotl-test-calm-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/stark2000s-axolotl-test-calm-v2/flywheel_model.0.safetensors
stark2000s-axolotl-test-calm-v2-mkmlizer:
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Job stark2000s-axolotl-test-calm-v2-mkmlizer completed after 83.41s with status: succeeded
Stopping job with name stark2000s-axolotl-test-calm-v2-mkmlizer
Pipeline stage MKMLizer completed in 83.94s
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Inference service stark2000s-axolotl-test-calm-v2 ready after 130.47429156303406s
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Received healthy response to inference request in 1.801558494567871s
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