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Running pipeline stage MKMLizer
Starting job with name rinen0721-mistral-dpo-0213-m2-v2-mkmlizer
Waiting for job on rinen0721-mistral-dpo-0213-m2-v2-mkmlizer to finish
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ _____ __ __ ║
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rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ /___/ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ Version: 0.12.8 ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ https://mk1.ai ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ belonging to: ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ Chai Research Corp. ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ║ ║
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: Downloaded to shared memory in 33.732s
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv52jcpta, device:0
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-mistral-dpo-0213-m2-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.
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: quantized model in 37.861s
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: Processed model rinen0721/Mistral-dpo-0213-m2 in 71.593s
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2/special_tokens_map.json
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2/config.json
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2/tokenizer_config.json
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2/tokenizer.json
rinen0721-mistral-dpo-0213-m2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral-dpo-0213-m2-v2/flywheel_model.0.safetensors
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Job rinen0721-mistral-dpo-0213-m2-v2-mkmlizer completed after 227.17s with status: succeeded
Stopping job with name rinen0721-mistral-dpo-0213-m2-v2-mkmlizer
Pipeline stage MKMLizer completed in 227.62s
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Pipeline stage MKMLTemplater completed in 0.38s
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Creating inference service rinen0721-mistral-dpo-0213-m2-v2
Waiting for inference service rinen0721-mistral-dpo-0213-m2-v2 to be ready
Inference service rinen0721-mistral-dpo-0213-m2-v2 ready after 190.72266387939453s
Pipeline stage MKMLDeployer completed in 191.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7206201553344727s
Received healthy response to inference request in 1.5883440971374512s
Received healthy response to inference request in 1.063220739364624s
Received healthy response to inference request in 1.3874924182891846s
Received healthy response to inference request in 1.519038200378418s
5 requests
0 failed requests
5th percentile: 1.128075075149536
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99th percentile: 1.7153291130065917
mean time: 1.4557431221008301
Pipeline stage StressChecker completed in 8.55s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2521.35s
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