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Running pipeline stage MKMLizer
Starting job with name alexxi19-ft-v1-violet-v12-mkmlizer
Waiting for job on alexxi19-ft-v1-violet-v12-mkmlizer to finish
alexxi19-ft-v1-violet-v12-mkmlizer: Downloaded to shared memory in 31.186s
alexxi19-ft-v1-violet-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpujn7xi82, device:0
alexxi19-ft-v1-violet-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexxi19-ft-v1-violet-v12-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.
alexxi19-ft-v1-violet-v12-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
alexxi19-ft-v1-violet-v12-mkmlizer: quantized model in 38.080s
alexxi19-ft-v1-violet-v12-mkmlizer: Processed model alexxi19/ft-v1-violet in 69.267s
alexxi19-ft-v1-violet-v12-mkmlizer: creating bucket guanaco-mkml-models
alexxi19-ft-v1-violet-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexxi19-ft-v1-violet-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v12
alexxi19-ft-v1-violet-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v12/tokenizer_config.json
alexxi19-ft-v1-violet-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v12/tokenizer.json
alexxi19-ft-v1-violet-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v12/flywheel_model.0.safetensors
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Job alexxi19-ft-v1-violet-v12-mkmlizer completed after 102.87s with status: succeeded
Stopping job with name alexxi19-ft-v1-violet-v12-mkmlizer
Pipeline stage MKMLizer completed in 103.31s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service alexxi19-ft-v1-violet-v12
Waiting for inference service alexxi19-ft-v1-violet-v12 to be ready
Inference service alexxi19-ft-v1-violet-v12 ready after 201.01417469978333s
Pipeline stage MKMLDeployer completed in 201.60s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.039771795272827s
Received healthy response to inference request in 1.2414939403533936s
Received healthy response to inference request in 1.0719656944274902s
Received healthy response to inference request in 1.154097080230713s
Received healthy response to inference request in 1.3887925148010254s
5 requests
0 failed requests
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mean time: 1.3792242050170898
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2657.10s
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