developer_uid: rirv938
submission_id: chaiml-98p-2ff-chaiml-m_39704_v1
model_name: chaiml-98p-2ff-chaiml-m_39704_v1
model_group: ChaiML/98p_2ff_chaiml_mi
status: deployed
timestamp: 2026-02-06T20:27:34+00:00
num_battles: 7774
num_wins: 4300
celo_rating: 9999.0
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp936_prod_rm_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
display_name: chaiml-98p-2ff-chaiml-m_39704_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp936_prod_rm_merged
model_size: 24B
ranking_group: single
us_pacific_date: 2026-02-06
win_ratio: 0.5531258039619243
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '<|im_start|>', '###', '</s>', '<|im_end|>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': '[SYSTEM_PROMPT]Respond as a high quality storyteller.[/SYSTEM_PROMPT][INST]', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '[/INST]{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Shutdown handler not registered because Python interpreter is not running in the main thread
Starting job with name chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer
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run pipeline stage %s
Running pipeline stage MKMLizer
Waiting for job on chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer to finish
Starting job with name chaiml-mistral-24b-2048-83002-v4-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-83002-v4-mkmlizer to finish
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chaiml-98p-2ff-chaiml-m-67425-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.
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chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ belonging to: ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: ║ ║
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chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: bash: no job control in this shell
chaiml-98p-2ff-chaiml-m-39704-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-98p-2ff-chaiml-m-39704-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ belonging to: ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-83002-v4-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-2048-83002-v4-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: Downloaded to shared memory in 95.137s
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: Checking if ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp468_prod_rm_merged already exists in ChaiML
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpx7vf7yk9, device:0
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: Downloaded to shared memory in 88.541s
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: Checking if ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp936_prod_rm_merged already exists in ChaiML
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpg1p4j0gs, device:0
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Downloaded to shared memory in 92.684s
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v10_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-83002-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpilq4q5kg, device:0
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpg1p4j0gs' 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-98p-2ff-chaiml-m-39704-v1-mkmlizer: quantized model in 283.075s
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: Processed model ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp936_prod_rm_merged in 371.617s
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-39704-v1/nvidia
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-39704-v1/nvidia/config.json
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-39704-v1/nvidia/special_tokens_map.json
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chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpx7vf7yk9' 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-98p-2ff-chaiml-m-67425-v1-mkmlizer: quantized model in 307.814s
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: Processed model ChaiML/98p_2ff_chaiml_mistral_24b_2048_83002_v1_cp468_prod_rm_merged in 402.951s
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/config.json
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/special_tokens_map.json
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/tokenizer_config.json
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/tokenizer.json
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chaiml-mistral-24b-2048-83002-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmpilq4q5kg' 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-2048-83002-v4-mkmlizer: quantized model in 325.019s
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v10_843_merged in 417.703s
chaiml-mistral-24b-2048-83002-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-83002-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v4/nvidia
chaiml-mistral-24b-2048-83002-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v4/nvidia/config.json
chaiml-mistral-24b-2048-83002-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v4/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-83002-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v4/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-83002-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v4/nvidia/tokenizer.json
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-39704-v1/nvidia/flywheel_model.1.safetensors
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/flywheel_model.1.safetensors
Job chaiml-mistral-24b-2048-83002-v4-mkmlizer completed after 707.54s with status: failed
Job failed chaiml-mistral-24b-2048-83002-v4-mkmlizer:
Stopping job with name chaiml-mistral-24b-2048-83002-v4-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral-24b-2048-83002-v4-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-83002-v4-mkmlizer to finish
chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-39704-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer completed after 716.28s with status: succeeded
Stopping job with name chaiml-98p-2ff-chaiml-m-39704-v1-mkmlizer
Pipeline stage MKMLizer completed in 718.55s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.61s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-98p-2ff-chaiml-m-39704-v1
Waiting for inference service chaiml-98p-2ff-chaiml-m-39704-v1 to be ready
chaiml-mistral-24b-2048-83002-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-83002-v4-mkmlizer: bash: no job control in this shell
chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-67425-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-83002-v4-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-2048-83002-v4-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
Job chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer completed after 766.26s with status: succeeded
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ║ ║
Stopping job with name chaiml-98p-2ff-chaiml-m-67425-v1-mkmlizer
chaiml-mistral-24b-2048-83002-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Pipeline stage MKMLizer completed in 767.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.54s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-98p-2ff-chaiml-m-67425-v1
Waiting for inference service chaiml-98p-2ff-chaiml-m-67425-v1 to be ready
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Downloaded to shared memory in 87.727s
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v10_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-83002-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmye32o0r, device:0
chaiml-mistral-24b-2048-83002-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Inference service chaiml-98p-2ff-chaiml-m-39704-v1 ready after 162.30749988555908s
Pipeline stage MKMLDeployer completed in 164.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.9097981452941895s
Received healthy response to inference request in 4.020081281661987s
Received healthy response to inference request in 3.2096967697143555s
Received healthy response to inference request in 3.367011070251465s
Received healthy response to inference request in 3.155485153198242s
5 requests
0 failed requests
5th percentile: 3.166327476501465
10th percentile: 3.1771697998046875
20th percentile: 3.198854446411133
30th percentile: 3.2411596298217775
40th percentile: 3.304085350036621
50th percentile: 3.367011070251465
60th percentile: 3.5841259002685546
70th percentile: 3.8012407302856444
80th percentile: 3.931854772567749
90th percentile: 3.975968027114868
95th percentile: 3.998024654388428
99th percentile: 4.015669956207275
mean time: 3.5324144840240477
Pipeline stage StressChecker completed in 27.96s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.24s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.29s
Shutdown handler de-registered
chaiml-98p-2ff-chaiml-m_39704_v1 status is now deployed due to DeploymentManager action