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Running pipeline stage MKMLizer
Starting job with name stark2000s-dpo-fd-mistral-v2-mkmlizer
Waiting for job on stark2000s-dpo-fd-mistral-v2-mkmlizer to finish
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stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ _____ __ __ ║
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stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ /___/ ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ Version: 0.11.12 ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ https://mk1.ai ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ The license key for the current software has been verified as ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ belonging to: ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ Chai Research Corp. ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ║ ║
stark2000s-dpo-fd-mistral-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
stark2000s-dpo-fd-mistral-v2-mkmlizer: Downloaded to shared memory in 33.790s
stark2000s-dpo-fd-mistral-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps182w4bj, device:0
stark2000s-dpo-fd-mistral-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
stark2000s-dpo-fd-mistral-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-dpo-fd-mistral-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
stark2000s-dpo-fd-mistral-v2-mkmlizer: quantized model in 26.201s
stark2000s-dpo-fd-mistral-v2-mkmlizer: Processed model stark2000s/dpo_fd_mistral in 59.991s
stark2000s-dpo-fd-mistral-v2-mkmlizer: creating bucket guanaco-mkml-models
stark2000s-dpo-fd-mistral-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
stark2000s-dpo-fd-mistral-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2
stark2000s-dpo-fd-mistral-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2/config.json
stark2000s-dpo-fd-mistral-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2/special_tokens_map.json
stark2000s-dpo-fd-mistral-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2/tokenizer_config.json
stark2000s-dpo-fd-mistral-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2/tokenizer.json
stark2000s-dpo-fd-mistral-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/stark2000s-dpo-fd-mistral-v2/flywheel_model.0.safetensors
Job stark2000s-dpo-fd-mistral-v2-mkmlizer completed after 84.93s with status: succeeded
Stopping job with name stark2000s-dpo-fd-mistral-v2-mkmlizer
Pipeline stage MKMLizer completed in 85.43s
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Pipeline stage MKMLTemplater completed in 0.15s
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Creating inference service stark2000s-dpo-fd-mistral-v2
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Inference service stark2000s-dpo-fd-mistral-v2 ready after 170.94679236412048s
Pipeline stage MKMLDeployer completed in 171.46s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8431506156921387s
Received healthy response to inference request in 1.4703266620635986s
Received healthy response to inference request in 1.3108067512512207s
Received healthy response to inference request in 1.3568236827850342s
Received healthy response to inference request in 1.2125205993652344s
5 requests
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5th percentile: 1.2321778297424317
10th percentile: 1.2518350601196289
20th percentile: 1.2911495208740233
30th percentile: 1.3200101375579834
40th percentile: 1.3384169101715089
50th percentile: 1.3568236827850342
60th percentile: 1.40222487449646
70th percentile: 1.4476260662078857
80th percentile: 1.5448914527893067
90th percentile: 1.6940210342407227
95th percentile: 1.7685858249664306
99th percentile: 1.828237657546997
mean time: 1.4387256622314453
Pipeline stage StressChecker completed in 8.60s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.29s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2328.27s
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stark2000s-dpo-fd-mistral_v2 status is now inactive due to auto deactivation removed underperforming models