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Running pipeline stage MKMLizer
Starting job with name stark2000s-ultra-du-v1-4-v3-mkmlizer
Waiting for job on stark2000s-ultra-du-v1-4-v3-mkmlizer to finish
stark2000s-ultra-du-v1-4-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ _____ __ __ ║
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stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ Version: 0.11.33 ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ https://mk1.ai ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ The license key for the current software has been verified as ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ belonging to: ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ Chai Research Corp. ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ║ ║
stark2000s-ultra-du-v1-4-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
stark2000s-ultra-du-v1-4-v3-mkmlizer: Downloaded to shared memory in 22.011s
stark2000s-ultra-du-v1-4-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw4doxkr6, device:0
stark2000s-ultra-du-v1-4-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
stark2000s-ultra-du-v1-4-v3-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-ultra-du-v1-4-v3-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
stark2000s-ultra-du-v1-4-v3-mkmlizer: quantized model in 26.877s
stark2000s-ultra-du-v1-4-v3-mkmlizer: Processed model stark2000s/ultra_du-v1.4 in 48.889s
stark2000s-ultra-du-v1-4-v3-mkmlizer: creating bucket guanaco-mkml-models
stark2000s-ultra-du-v1-4-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
stark2000s-ultra-du-v1-4-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/stark2000s-ultra-du-v1-4-v3
stark2000s-ultra-du-v1-4-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/stark2000s-ultra-du-v1-4-v3/config.json
stark2000s-ultra-du-v1-4-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/stark2000s-ultra-du-v1-4-v3/special_tokens_map.json
stark2000s-ultra-du-v1-4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/stark2000s-ultra-du-v1-4-v3/tokenizer_config.json
stark2000s-ultra-du-v1-4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/stark2000s-ultra-du-v1-4-v3/tokenizer.json
stark2000s-ultra-du-v1-4-v3-mkmlizer:
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Job stark2000s-ultra-du-v1-4-v3-mkmlizer completed after 73.9s with status: succeeded
Stopping job with name stark2000s-ultra-du-v1-4-v3-mkmlizer
Pipeline stage MKMLizer completed in 74.44s
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Inference service stark2000s-ultra-du-v1-4-v3 ready after 180.63420009613037s
Pipeline stage MKMLDeployer completed in 181.21s
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Received healthy response to inference request in 2.0050861835479736s
Received healthy response to inference request in 1.5002286434173584s
Received healthy response to inference request in 2.0896077156066895s
Received healthy response to inference request in 1.2657980918884277s
Received healthy response to inference request in 1.3459370136260986s
5 requests
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2725.58s
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