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Running pipeline stage MKMLizer
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alexxi19-ft-v1-violet-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexxi19-ft-v1-violet-v1-mkmlizer: ║ _____ __ __ ║
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alexxi19-ft-v1-violet-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ /___/ ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ Version: 0.11.12 ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ https://mk1.ai ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ belonging to: ║
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alexxi19-ft-v1-violet-v1-mkmlizer: ║ Chai Research Corp. ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexxi19-ft-v1-violet-v1-mkmlizer: ║ ║
alexxi19-ft-v1-violet-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexxi19-ft-v1-violet-v1-mkmlizer: Downloaded to shared memory in 49.222s
alexxi19-ft-v1-violet-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2g_g6nsa, device:0
alexxi19-ft-v1-violet-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexxi19-ft-v1-violet-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.
alexxi19-ft-v1-violet-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
alexxi19-ft-v1-violet-v1-mkmlizer: quantized model in 35.393s
alexxi19-ft-v1-violet-v1-mkmlizer: Processed model alexxi19/ft-v1-violet in 84.615s
alexxi19-ft-v1-violet-v1-mkmlizer: creating bucket guanaco-mkml-models
alexxi19-ft-v1-violet-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexxi19-ft-v1-violet-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1
alexxi19-ft-v1-violet-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1/config.json
alexxi19-ft-v1-violet-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1/special_tokens_map.json
alexxi19-ft-v1-violet-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1/tokenizer_config.json
alexxi19-ft-v1-violet-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1/tokenizer.json
alexxi19-ft-v1-violet-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexxi19-ft-v1-violet-v1/flywheel_model.0.safetensors
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Job alexxi19-ft-v1-violet-v1-mkmlizer completed after 114.3s with status: succeeded
Stopping job with name alexxi19-ft-v1-violet-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.01s
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Creating inference service alexxi19-ft-v1-violet-v1
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Inference service alexxi19-ft-v1-violet-v1 ready after 180.61654448509216s
Pipeline stage MKMLDeployer completed in 181.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1259891986846924s
Received healthy response to inference request in 1.6813647747039795s
Received healthy response to inference request in 1.2080974578857422s
Received healthy response to inference request in 1.5970721244812012s
Received healthy response to inference request in 1.7161669731140137s
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95th percentile: 2.0440247535705565
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mean time: 1.6657381057739258
Pipeline stage StressChecker completed in 9.52s
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