junhua024-chai-19-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19-full-0022_v2
model_name: junhua024-chai-19-full-0022_v2
model_group: junhua024/chai_19-full_0
status: torndown
timestamp: 2025-07-21T22:04:27+00:00
num_battles: 7729
num_wins: 3312
celo_rating: 1228.68
family_friendly_score: 0.605
family_friendly_standard_error: 0.006913392799487094
submission_type: basic
model_repo: junhua024/chai_19-full_0022
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': 0.6709888398039229, 'latency_mean': 1.490153831243515, 'latency_p50': 1.487781047821045, 'latency_p90': 1.64270339012146}, {'batch_size': 3, 'throughput': 1.1474090573183362, 'latency_mean': 2.604675430059433, 'latency_p50': 2.636178493499756, 'latency_p90': 2.8535861492156984}, {'batch_size': 5, 'throughput': 1.327067188944609, 'latency_mean': 3.7513035106658936, 'latency_p50': 3.759820342063904, 'latency_p90': 4.227225995063781}, {'batch_size': 6, 'throughput': 1.4041540117489344, 'latency_mean': 4.261922526359558, 'latency_p50': 4.24898099899292, 'latency_p90': 4.821878218650818}, {'batch_size': 8, 'throughput': 1.4548179367569571, 'latency_mean': 5.465922645330429, 'latency_p50': 5.504701495170593, 'latency_p90': 6.134841442108154}, {'batch_size': 10, 'throughput': 1.504204124224821, 'latency_mean': 6.60756902217865, 'latency_p50': 6.610716342926025, 'latency_p90': 7.441152000427246}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19-full-0022_v2
is_internal_developer: False
language_model: junhua024/chai_19-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-21
win_ratio: 0.4285159787812136
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-19-full-0022-v2-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v2-mkmlizer to finish
junhua024-chai-19-full-0022-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
junhua024-chai-19-full-0022-v2-mkmlizer:     hf_transfer.download(
junhua024-chai-19-full-0022-v2-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, Custom { kind: UnexpectedEof, error: IncompleteBody }) }'), traceback: None } (NoPermits)
junhua024-chai-19-full-0022-v2-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-19-full-0022-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-19-full-0022-v2-mkmlizer:     cli()
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-19-full-0022-v2-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-19-full-0022-v2-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-19-full-0022-v2-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-19-full-0022-v2-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-19-full-0022-v2-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-19-full-0022-v2-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-19-full-0022-v2-mkmlizer:     snapshot_download(
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-19-full-0022-v2-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-19-full-0022-v2-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
junhua024-chai-19-full-0022-v2-mkmlizer:     return hf_hub_download(
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-19-full-0022-v2-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
junhua024-chai-19-full-0022-v2-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-19-full-0022-v2-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-19-full-0022-v2-mkmlizer:     _download_to_tmp_and_move(
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
junhua024-chai-19-full-0022-v2-mkmlizer:     http_get(
junhua024-chai-19-full-0022-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
junhua024-chai-19-full-0022-v2-mkmlizer:     raise RuntimeError(
junhua024-chai-19-full-0022-v2-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job junhua024-chai-19-full-0022-v2-mkmlizer completed after 130.23s with status: failed
Stopping job with name junhua024-chai-19-full-0022-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-19-full-0022-v2-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v2-mkmlizer to finish
junhua024-chai-19-full-0022-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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junhua024-chai-19-full-0022-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-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-19-full-0022-v2-mkmlizer: Downloaded to shared memory in 159.593s
junhua024-chai-19-full-0022-v2-mkmlizer: Checking if junhua024/chai_19-full_0022 already exists in ChaiML
junhua024-chai-19-full-0022-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpom2drp6u, device:0
junhua024-chai-19-full-0022-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19-full-0022-v2-mkmlizer: quantized model in 162.799s
junhua024-chai-19-full-0022-v2-mkmlizer: Processed model junhua024/chai_19-full_0022 in 322.482s
junhua024-chai-19-full-0022-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19-full-0022-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19-full-0022-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia
junhua024-chai-19-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia/config.json
junhua024-chai-19-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia/special_tokens_map.json
junhua024-chai-19-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia/tokenizer_config.json
junhua024-chai-19-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia/tokenizer.json
junhua024-chai-19-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-19-full-0022-v2-mkmlizer: 
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Job junhua024-chai-19-full-0022-v2-mkmlizer completed after 347.41s with status: succeeded
Stopping job with name junhua024-chai-19-full-0022-v2-mkmlizer
Pipeline stage MKMLizer completed in 479.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19-full-0022-v2
Waiting for inference service junhua024-chai-19-full-0022-v2 to be ready
Inference service junhua024-chai-19-full-0022-v2 ready after 322.2566976547241s
Pipeline stage MKMLDeployer completed in 323.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3258609771728516s
Received healthy response to inference request in 1.6945180892944336s
Received healthy response to inference request in 1.2727980613708496s
Received healthy response to inference request in 1.4401326179504395s
Received healthy response to inference request in 1.4750113487243652s
5 requests
0 failed requests
5th percentile: 1.3062649726867677
10th percentile: 1.3397318840026855
20th percentile: 1.4066657066345214
30th percentile: 1.4471083641052247
40th percentile: 1.461059856414795
50th percentile: 1.4750113487243652
60th percentile: 1.5628140449523926
70th percentile: 1.6506167411804198
80th percentile: 1.8207866668701174
90th percentile: 2.0733238220214845
95th percentile: 2.199592399597168
99th percentile: 2.300607261657715
mean time: 1.6416642189025878
Pipeline stage StressChecker completed in 10.19s
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 0.82s
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 0.79s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v2 status is now deployed due to DeploymentManager action
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 3146.19s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19-full-0022_v2 status is now torndown due to DeploymentManager action