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Running pipeline stage MKMLizer
Starting job with name rica40325-nsfw-free-sft-v9-mkmlizer
Waiting for job on rica40325-nsfw-free-sft-v9-mkmlizer to finish
rica40325-nsfw-free-sft-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-nsfw-free-sft-v9-mkmlizer: ║ _____ __ __ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ /___/ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ Version: 0.11.33 ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ https://mk1.ai ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ belonging to: ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ Chai Research Corp. ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rica40325-nsfw-free-sft-v9-mkmlizer: ║ ║
rica40325-nsfw-free-sft-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-nsfw-free-sft-v9-mkmlizer: Downloaded to shared memory in 44.626s
rica40325-nsfw-free-sft-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg9zcd21r, device:0
rica40325-nsfw-free-sft-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-nsfw-free-sft-v9-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.
rica40325-nsfw-free-sft-v9-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-nsfw-free-sft-v9-mkmlizer: quantized model in 37.246s
rica40325-nsfw-free-sft-v9-mkmlizer: Processed model rica40325/nsfw_free_sft in 81.873s
rica40325-nsfw-free-sft-v9-mkmlizer: creating bucket guanaco-mkml-models
rica40325-nsfw-free-sft-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-nsfw-free-sft-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v9
rica40325-nsfw-free-sft-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v9/special_tokens_map.json
rica40325-nsfw-free-sft-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v9/tokenizer.json
rica40325-nsfw-free-sft-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-nsfw-free-sft-v9/flywheel_model.0.safetensors
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Job rica40325-nsfw-free-sft-v9-mkmlizer completed after 114.88s with status: succeeded
Stopping job with name rica40325-nsfw-free-sft-v9-mkmlizer
Pipeline stage MKMLizer completed in 115.39s
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Creating inference service rica40325-nsfw-free-sft-v9
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Inference service rica40325-nsfw-free-sft-v9 ready after 200.68566823005676s
Pipeline stage MKMLDeployer completed in 201.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.262726306915283s
Received healthy response to inference request in 1.0903899669647217s
Received healthy response to inference request in 1.7942183017730713s
Received healthy response to inference request in 1.4917182922363281s
Received healthy response to inference request in 1.901897668838501s
5 requests
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90th percentile: 2.1183948516845703
95th percentile: 2.1905605792999268
99th percentile: 2.248293161392212
mean time: 1.708190107345581
Pipeline stage StressChecker completed in 9.72s
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