junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v3
model_name: junhua024-chai-1-full-066126_v3
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-06-29T19:50:35+00:00
num_battles: 6424
num_wins: 3190
celo_rating: 1271.74
family_friendly_score: 0.5482
family_friendly_standard_error: 0.007038135548566822
submission_type: basic
model_repo: junhua024/chai-1-full-066126
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5935671936881113, 'latency_mean': 1.6846031212806702, 'latency_p50': 1.6802184581756592, 'latency_p90': 1.8696768522262572}, {'batch_size': 3, 'throughput': 1.0671037000377948, 'latency_mean': 2.7986088573932646, 'latency_p50': 2.791435956954956, 'latency_p90': 3.046332502365112}, {'batch_size': 5, 'throughput': 1.297404444245514, 'latency_mean': 3.8383896911144255, 'latency_p50': 3.807059168815613, 'latency_p90': 4.256615471839905}, {'batch_size': 6, 'throughput': 1.3573033552534126, 'latency_mean': 4.394947589635849, 'latency_p50': 4.407120585441589, 'latency_p90': 4.861138701438904}, {'batch_size': 8, 'throughput': 1.4095160689971489, 'latency_mean': 5.630998903512955, 'latency_p50': 5.649044513702393, 'latency_p90': 6.343679881095886}, {'batch_size': 10, 'throughput': 1.4437805527939698, 'latency_mean': 6.865745328664779, 'latency_p50': 6.911980986595154, 'latency_p90': 7.600791263580322}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v3
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-06-29
win_ratio: 0.4965753424657534
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-066126-v3-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v3-mkmlizer to finish
junhua024-chai-1-full-066126-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
junhua024-chai-1-full-066126-v3-mkmlizer:     hf_transfer.download(
junhua024-chai-1-full-066126-v3-mkmlizer: Exception: Failed too many failures in parallel (3): PyErr { type: <class 'Exception'>, value: Exception('Error while downloading: reqwest::Error { kind: Body, source: hyper::Error(Body, Os { code: 104, kind: ConnectionReset, message: "Connection reset by peer" }) }'), traceback: None } (NoPermits)
junhua024-chai-1-full-066126-v3-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-066126-v3-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-1-full-066126-v3-mkmlizer:     cli()
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-1-full-066126-v3-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-1-full-066126-v3-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-1-full-066126-v3-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-1-full-066126-v3-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-1-full-066126-v3-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-1-full-066126-v3-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-1-full-066126-v3-mkmlizer:     snapshot_download(
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-066126-v3-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-1-full-066126-v3-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
junhua024-chai-1-full-066126-v3-mkmlizer:     return hf_hub_download(
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-066126-v3-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
junhua024-chai-1-full-066126-v3-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1241, in _hf_hub_download_to_local_dir
junhua024-chai-1-full-066126-v3-mkmlizer:     _download_to_tmp_and_move(
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
junhua024-chai-1-full-066126-v3-mkmlizer:     http_get(
junhua024-chai-1-full-066126-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
junhua024-chai-1-full-066126-v3-mkmlizer:     raise RuntimeError(
junhua024-chai-1-full-066126-v3-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job junhua024-chai-1-full-066126-v3-mkmlizer completed after 372.57s with status: failed
Stopping job with name junhua024-chai-1-full-066126-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-1-full-066126-v3-mkmlizer
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junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-066126-v3-mkmlizer: Downloaded to shared memory in 75.513s
junhua024-chai-1-full-066126-v3-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsexysqfi, device:0
junhua024-chai-1-full-066126-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v3-mkmlizer: quantized model in 32.840s
junhua024-chai-1-full-066126-v3-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.427s
junhua024-chai-1-full-066126-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3
junhua024-chai-1-full-066126-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3/config.json
junhua024-chai-1-full-066126-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3/special_tokens_map.json
junhua024-chai-1-full-066126-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3/tokenizer_config.json
junhua024-chai-1-full-066126-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3/tokenizer.json
junhua024-chai-1-full-066126-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v3/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v3-mkmlizer: 
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Job junhua024-chai-1-full-066126-v3-mkmlizer completed after 137.51s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v3-mkmlizer
Pipeline stage MKMLizer completed in 511.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v3
Waiting for inference service junhua024-chai-1-full-066126-v3 to be ready
Inference service junhua024-chai-1-full-066126-v3 ready after 201.73982405662537s
Pipeline stage MKMLDeployer completed in 202.32s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9441916942596436s
Received healthy response to inference request in 1.9755089282989502s
Received healthy response to inference request in 1.716015100479126s
Received healthy response to inference request in 1.9282538890838623s
Received healthy response to inference request in 2.120727300643921s
5 requests
0 failed requests
5th percentile: 1.7584628582000732
10th percentile: 1.8009106159210204
20th percentile: 1.885806131362915
30th percentile: 1.93770489692688
40th percentile: 1.956606912612915
50th percentile: 1.9755089282989502
60th percentile: 2.0335962772369385
70th percentile: 2.0916836261749268
80th percentile: 2.2854201793670654
90th percentile: 2.6148059368133545
95th percentile: 2.779498815536499
99th percentile: 2.9112531185150146
mean time: 2.1369393825531007
Pipeline stage StressChecker completed in 12.21s
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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 0.76s
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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 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.17s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v3-profiler
Waiting for inference service junhua024-chai-1-full-066126-v3-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4362.47s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v3 status is now torndown due to DeploymentManager action