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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mistral-24b-2048-87264-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-87264-v1-mkmlizer to finish
chaiml-mistral-24b-2048-54327-v8-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-54327-v8-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ ║
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-mistral-24b-2048-87264-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-54327-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: bash: no job control in this shell
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chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-mistral-24b-2048-91866-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-87264-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83855-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
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chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
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chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-38865-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-91866-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-87264-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-91866-v1-mkmlizer: Downloaded to shared memory in 85.865s
chaiml-mistral-24b-2048-91866-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_927_instruct_merged already exists in ChaiML
chaiml-mistral-24b-2048-91866-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmqezorsp, device:0
chaiml-mistral-24b-2048-91866-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-54327-v8-mkmlizer: Downloaded to shared memory in 103.962s
chaiml-mistral-24b-2048-54327-v8-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v12_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-54327-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpj34zgfi_, device:0
chaiml-mistral-24b-2048-54327-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-83855-v1-mkmlizer: Downloaded to shared memory in 104.288s
chaiml-mistral-24b-2048-83855-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_309_instruct_merged already exists in ChaiML
chaiml-mistral-24b-2048-83855-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpsjoiptfu, device:0
chaiml-mistral-24b-2048-83855-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-87264-v1-mkmlizer: Downloaded to shared memory in 103.545s
chaiml-mistral-24b-2048-87264-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_1236_instruct_merged already exists in ChaiML
chaiml-mistral-24b-2048-87264-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpx4a6k0b8, device:0
chaiml-mistral-24b-2048-87264-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-mistral-24b-2048-91866-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpmqezorsp' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-91866-v1-mkmlizer: quantized model in 327.283s
chaiml-mistral-24b-2048-91866-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_927_instruct_merged in 413.148s
chaiml-mistral-24b-2048-91866-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-54327-v8-mkmlizer: The tokenizer you are loading from '/tmp/tmpj34zgfi_' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-54327-v8-mkmlizer: quantized model in 323.129s
chaiml-mistral-24b-2048-54327-v8-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v12_843_merged in 427.092s
chaiml-mistral-24b-2048-54327-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-54327-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-83855-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpsjoiptfu' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-54327-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia
chaiml-mistral-24b-2048-38865-v1-mkmlizer: quantized model in 324.213s
chaiml-mistral-24b-2048-83855-v1-mkmlizer: quantized model in 324.010s
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/config.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_618_instruct_merged in 419.475s
chaiml-mistral-24b-2048-83855-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_309_instruct_merged in 428.299s
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-83855-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-83855-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/tokenizer.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia
chaiml-mistral-24b-2048-83855-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/chat_template.jinja
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/chat_template.jinja
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/config.json
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/config.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-87264-v1-mkmlizer:
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chaiml-mistral-24b-2048-87264-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpx4a6k0b8' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-87264-v1-mkmlizer: quantized model in 326.072s
chaiml-mistral-24b-2048-87264-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_1236_instruct_merged in 429.617s
chaiml-mistral-24b-2048-87264-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-87264-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-87264-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/config.json
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/chat_template.jinja
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-91866-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-91866-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-91866-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-91866-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-91866-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-91866-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-87264-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-87264-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-91866-v1-mkmlizer completed after 711.6s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-91866-v1-mkmlizer
Pipeline stage MKMLizer completed in 715.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 1.09s
Job chaiml-mistral-24b-2048-87264-v1-mkmlizer completed after 711.14s with status: succeeded
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Stopping job with name chaiml-mistral-24b-2048-87264-v1-mkmlizer
Running pipeline stage MKMLDeployer
Pipeline stage MKMLizer completed in 715.35s
Creating inference service chaiml-mistral-24b-2048-91866-v1
run pipeline stage %s
Waiting for inference service chaiml-mistral-24b-2048-91866-v1 to be ready
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 1.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-87264-v1
Waiting for inference service chaiml-mistral-24b-2048-87264-v1 to be ready
chaiml-mistral-24b-2048-83855-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83855-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-54327-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-54327-v8/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-54327-v8-mkmlizer completed after 780.83s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-54327-v8-mkmlizer
Pipeline stage MKMLizer completed in 783.70s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 1.26s
Job chaiml-mistral-24b-2048-83855-v1-mkmlizer completed after 781.77s with status: succeeded
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Stopping job with name chaiml-mistral-24b-2048-83855-v1-mkmlizer
Running pipeline stage MKMLDeployer
Pipeline stage MKMLizer completed in 785.32s
Creating inference service chaiml-mistral-24b-2048-54327-v8
run pipeline stage %s
Waiting for inference service chaiml-mistral-24b-2048-54327-v8 to be ready
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 1.29s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-83855-v1
Waiting for inference service chaiml-mistral-24b-2048-83855-v1 to be ready
chaiml-mistral-24b-2048-38865-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-38865-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-38865-v1-mkmlizer completed after 797.96s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-38865-v1-mkmlizer
Pipeline stage MKMLizer completed in 801.44s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 1.26s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-38865-v1
Waiting for inference service chaiml-mistral-24b-2048-38865-v1 to be ready
Inference service chaiml-mistral-24b-2048-91866-v1 ready after 172.10581183433533s
Pipeline stage MKMLDeployer completed in 177.11s
run pipeline stage %s
Running pipeline stage StressChecker
Inference service chaiml-mistral-24b-2048-87264-v1 ready after 172.2148253917694s
Received healthy response to inference request in 4.67252779006958s
Pipeline stage MKMLDeployer completed in 176.80s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3870339393615723s
Received healthy response to inference request in 3.576146364212036s
Received healthy response to inference request in 3.47110915184021s
Received healthy response to inference request in 3.488312244415283s
Received healthy response to inference request in 3.721662998199463s
Received healthy response to inference request in 3.2767388820648193s
Received healthy response to inference request in 3.009592056274414s
5 requests
Received healthy response to inference request in 3.204728841781616s
0 failed requests
5th percentile: 3.0850804328918455
10th percentile: 3.1605688095092774
20th percentile: 3.311545562744141
Received healthy response to inference request in 3.167133331298828s
30th percentile: 3.4038489818573
5 requests
40th percentile: 3.4374790668487547
0 failed requests
50th percentile: 3.47110915184021
5th percentile: 3.174652433395386
60th percentile: 3.571330690383911
10th percentile: 3.1821715354919435
70th percentile: 3.671552228927612
20th percentile: 3.1972097396850585
80th percentile: 3.9118359565734866
30th percentile: 3.219130849838257
90th percentile: 4.292181873321534
40th percentile: 3.247934865951538
95th percentile: 4.482354831695557
50th percentile: 3.2767388820648193
99th percentile: 4.634493198394775
60th percentile: 3.3613682270050047
mean time: 3.652385187149048
70th percentile: 3.4459975719451905
Pipeline stage StressChecker completed in 44.13s
80th percentile: 3.5058790683746337
run pipeline stage %s
90th percentile: 3.541012716293335
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
Inference service chaiml-mistral-24b-2048-83855-v1 ready after 162.2439546585083s
95th percentile: 3.5585795402526856
run_pipeline:run_in_cloud %s
Pipeline stage MKMLDeployer completed in 166.52s
99th percentile: 3.572632999420166
starting trigger_guanaco_pipeline args=%s
run pipeline stage %s
mean time: 3.3426119327545165
Running pipeline stage StressChecker
triggered trigger_guanaco_pipeline args=%s
Pipeline stage StressChecker completed in 43.05s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 6.76s
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
Received healthy response to inference request in 3.463496446609497s
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 5.10s
Received healthy response to inference request in 2.8785758018493652s
Pipeline stage TriggerMKMLProfilingPipeline completed in 4.97s
run pipeline stage %s
Shutdown handler de-registered
chaiml-mistral-24b-2048_91866_v1 status is now deployed due to DeploymentManager action
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Received healthy response to inference request in 3.438680648803711s
Inference service chaiml-mistral-24b-2048-38865-v1 ready after 162.10074043273926s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage MKMLDeployer completed in 166.86s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.66s
run pipeline stage %s
Shutdown handler de-registered
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1615583896636963s
chaiml-mistral-24b-2048_87264_v1 status is now deployed due to DeploymentManager action
chaiml-mistral-24b-2048_87264_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral-24b-2048_87264_v1 status is now torndown due to DeploymentManager action