junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v4
model_name: junhua024-chai-1-full-066126_v4
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-06-29T19:52:25+00:00
num_battles: 6548
num_wins: 3256
celo_rating: 1274.31
family_friendly_score: 0.5494
family_friendly_standard_error: 0.007036471274722863
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': 0.595044907890536, 'latency_mean': 1.680357323884964, 'latency_p50': 1.6836881637573242, 'latency_p90': 1.8548884868621827}, {'batch_size': 3, 'throughput': 1.0834442646635942, 'latency_mean': 2.7624580442905424, 'latency_p50': 2.7720690965652466, 'latency_p90': 3.061825728416443}, {'batch_size': 5, 'throughput': 1.2922963289255605, 'latency_mean': 3.848827519416809, 'latency_p50': 3.8721193075180054, 'latency_p90': 4.321756958961487}, {'batch_size': 6, 'throughput': 1.3530068878430117, 'latency_mean': 4.415913782119751, 'latency_p50': 4.431834578514099, 'latency_p90': 4.942014145851135}, {'batch_size': 8, 'throughput': 1.4155137257393524, 'latency_mean': 5.6085876524448395, 'latency_p50': 5.599767088890076, 'latency_p90': 6.256120419502258}, {'batch_size': 10, 'throughput': 1.4417297429559153, 'latency_mean': 6.874405289888382, 'latency_p50': 6.971375226974487, 'latency_p90': 7.681370782852173}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v4
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: 0.4972510690287111
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.2, '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-v4-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v4-mkmlizer to finish
junhua024-chai-1-full-066126-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
junhua024-chai-1-full-066126-v4-mkmlizer:     hf_transfer.download(
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-066126-v4-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-1-full-066126-v4-mkmlizer:     cli()
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-1-full-066126-v4-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-1-full-066126-v4-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-1-full-066126-v4-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-1-full-066126-v4-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-1-full-066126-v4-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-1-full-066126-v4-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-1-full-066126-v4-mkmlizer:     snapshot_download(
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-066126-v4-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-1-full-066126-v4-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer:     return hf_hub_download(
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-066126-v4-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer:     _download_to_tmp_and_move(
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer:     http_get(
junhua024-chai-1-full-066126-v4-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
junhua024-chai-1-full-066126-v4-mkmlizer:     raise RuntimeError(
junhua024-chai-1-full-066126-v4-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-v4-mkmlizer completed after 372.62s with status: failed
Stopping job with name junhua024-chai-1-full-066126-v4-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-1-full-066126-v4-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v4-mkmlizer to finish
junhua024-chai-1-full-066126-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v4-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-mkmlizer: Downloaded to shared memory in 77.495s
junhua024-chai-1-full-066126-v4-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeg42yxsm, device:0
junhua024-chai-1-full-066126-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v4-mkmlizer: quantized model in 31.832s
junhua024-chai-1-full-066126-v4-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.406s
junhua024-chai-1-full-066126-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4
junhua024-chai-1-full-066126-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4/config.json
junhua024-chai-1-full-066126-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4/special_tokens_map.json
junhua024-chai-1-full-066126-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4/tokenizer_config.json
junhua024-chai-1-full-066126-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4/tokenizer.json
junhua024-chai-1-full-066126-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v4/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v4-mkmlizer: 
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Job junhua024-chai-1-full-066126-v4-mkmlizer completed after 138.79s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v4-mkmlizer
Pipeline stage MKMLizer completed in 512.46s
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-v4
Waiting for inference service junhua024-chai-1-full-066126-v4 to be ready
Failed to get response for submission brendanartley-mistral-n_38957_v1: HTTPConnectionPool(host='brendanartley-mistral-n-38957-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x799f346f4ed0>, 'Connection to brendanartley-mistral-n-38957-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-1-full-066126-v4 ready after 200.96027207374573s
Pipeline stage MKMLDeployer completed in 202.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.363503932952881s
Received healthy response to inference request in 1.5156564712524414s
Received healthy response to inference request in 1.7849695682525635s
Received healthy response to inference request in 1.5793356895446777s
Received healthy response to inference request in 1.5011115074157715s
5 requests
0 failed requests
5th percentile: 1.5040205001831055
10th percentile: 1.5069294929504395
20th percentile: 1.5127474784851074
30th percentile: 1.5283923149108887
40th percentile: 1.5538640022277832
50th percentile: 1.5793356895446777
60th percentile: 1.6615892410278321
70th percentile: 1.7438427925109863
80th percentile: 1.9006764411926271
90th percentile: 2.132090187072754
95th percentile: 2.247797060012817
99th percentile: 2.340362558364868
mean time: 1.748915433883667
Pipeline stage StressChecker completed in 10.38s
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 0.74s
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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 0.65s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v4 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 0.15s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v4-profiler
Waiting for inference service junhua024-chai-1-full-066126-v4-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4371.98s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v4 status is now torndown due to DeploymentManager action