junhua024-chai-19a-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19a-full-0022_v1
model_name: junhua024-chai-19a-full-0022_v1
model_group: junhua024/chai_19a-full_
status: torndown
timestamp: 2025-07-24T00:02:39+00:00
num_battles: 5546
num_wins: 2477
celo_rating: 1245.77
family_friendly_score: 0.5778
family_friendly_standard_error: 0.006984943235273999
submission_type: basic
model_repo: junhua024/chai_19a-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': 0.6781714402782427, 'latency_mean': 1.4744290900230408, 'latency_p50': 1.487301230430603, 'latency_p90': 1.6127174139022826}, {'batch_size': 3, 'throughput': 1.1593435538976744, 'latency_mean': 2.5843384981155397, 'latency_p50': 2.5672343969345093, 'latency_p90': 2.8613444566726685}, {'batch_size': 5, 'throughput': 1.3426458290225958, 'latency_mean': 3.7122335517406464, 'latency_p50': 3.698011636734009, 'latency_p90': 4.080169439315796}, {'batch_size': 6, 'throughput': 1.4082037802115521, 'latency_mean': 4.242661614418029, 'latency_p50': 4.263681769371033, 'latency_p90': 4.814352202415466}, {'batch_size': 8, 'throughput': 1.4634083734515797, 'latency_mean': 5.4340551769733425, 'latency_p50': 5.456267714500427, 'latency_p90': 6.100439071655273}, {'batch_size': 10, 'throughput': 1.4951168092534535, 'latency_mean': 6.63817271232605, 'latency_p50': 6.639834523200989, 'latency_p90': 7.523223114013672}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19a-full-0022_v1
is_internal_developer: False
language_model: junhua024/chai_19a-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-07-23
win_ratio: 0.4466282005048684
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-19a-full-0022-v1-mkmlizer
Waiting for job on junhua024-chai-19a-full-0022-v1-mkmlizer to finish
junhua024-chai-19a-full-0022-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19a-full-0022-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-mkmlizer: Traceback (most recent call last):
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
junhua024-chai-19a-full-0022-v1-mkmlizer:     response.raise_for_status()
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
junhua024-chai-19a-full-0022-v1-mkmlizer:     raise HTTPError(http_error_msg, response=self)
junhua024-chai-19a-full-0022-v1-mkmlizer: requests.exceptions.HTTPError: 504 Server Error: Gateway Timeout for url: https://huggingface.co/junhua024/chai_19a-full_0022/resolve/ad60baf465fb04030c42f3d03e9d7f3be0f8d167/model-00006-of-00025.safetensors
junhua024-chai-19a-full-0022-v1-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-19a-full-0022-v1-mkmlizer: Traceback (most recent call last):
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1484, in _get_metadata_or_catch_error
junhua024-chai-19a-full-0022-v1-mkmlizer:     metadata = get_hf_file_metadata(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-19a-full-0022-v1-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1401, in get_hf_file_metadata
junhua024-chai-19a-full-0022-v1-mkmlizer:     r = _request_wrapper(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper
junhua024-chai-19a-full-0022-v1-mkmlizer:     response = _request_wrapper(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 309, in _request_wrapper
junhua024-chai-19a-full-0022-v1-mkmlizer:     hf_raise_for_status(response)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
junhua024-chai-19a-full-0022-v1-mkmlizer:     raise _format(HfHubHTTPError, str(e), response) from e
junhua024-chai-19a-full-0022-v1-mkmlizer: huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Timeout for url: https://huggingface.co/junhua024/chai_19a-full_0022/resolve/ad60baf465fb04030c42f3d03e9d7f3be0f8d167/model-00006-of-00025.safetensors (Request ID: Root=1-6881786c-34670b6d4c9bbbbe3592204c;d257d996-ec9f-4a53-a289-33765fa45fb5)
junhua024-chai-19a-full-0022-v1-mkmlizer: The request is taking longer than expected, please try again later.
junhua024-chai-19a-full-0022-v1-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-19a-full-0022-v1-mkmlizer: Traceback (most recent call last):
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-19a-full-0022-v1-mkmlizer:     cli()
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-19a-full-0022-v1-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-19a-full-0022-v1-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-19a-full-0022-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-19a-full-0022-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-19a-full-0022-v1-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-19a-full-0022-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-19a-full-0022-v1-mkmlizer:     snapshot_download(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-19a-full-0022-v1-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-19a-full-0022-v1-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
junhua024-chai-19a-full-0022-v1-mkmlizer:     return hf_hub_download(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-19a-full-0022-v1-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
junhua024-chai-19a-full-0022-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1194, in _hf_hub_download_to_local_dir
junhua024-chai-19a-full-0022-v1-mkmlizer:     _raise_on_head_call_error(head_call_error, force_download, local_files_only)
junhua024-chai-19a-full-0022-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1599, in _raise_on_head_call_error
junhua024-chai-19a-full-0022-v1-mkmlizer:     raise LocalEntryNotFoundError(
junhua024-chai-19a-full-0022-v1-mkmlizer: huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Job junhua024-chai-19a-full-0022-v1-mkmlizer completed after 89.19s with status: failed
Stopping job with name junhua024-chai-19a-full-0022-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-19a-full-0022-v1-mkmlizer
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junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19a-full-0022-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-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-19a-full-0022-v1-mkmlizer: Downloaded to shared memory in 127.379s
junhua024-chai-19a-full-0022-v1-mkmlizer: Checking if junhua024/chai_19a-full_0022 already exists in ChaiML
junhua024-chai-19a-full-0022-v1-mkmlizer: Creating repo ChaiML/chai_19a-full_0022 and uploading /tmp/tmpk_9l2hqc to it
junhua024-chai-19a-full-0022-v1-mkmlizer: 
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junhua024-chai-19a-full-0022-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpk_9l2hqc, device:0
junhua024-chai-19a-full-0022-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19a-full-0022-v1-mkmlizer: quantized model in 163.498s
junhua024-chai-19a-full-0022-v1-mkmlizer: Processed model junhua024/chai_19a-full_0022 in 365.900s
junhua024-chai-19a-full-0022-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19a-full-0022-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19a-full-0022-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v1/nvidia
junhua024-chai-19a-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v1/nvidia/config.json
junhua024-chai-19a-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v1/nvidia/special_tokens_map.json
junhua024-chai-19a-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v1/nvidia/tokenizer_config.json
junhua024-chai-19a-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v1/nvidia/tokenizer.json
junhua024-chai-19a-full-0022-v1-mkmlizer: 
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Job junhua024-chai-19a-full-0022-v1-mkmlizer completed after 391.92s with status: succeeded
Stopping job with name junhua024-chai-19a-full-0022-v1-mkmlizer
Pipeline stage MKMLizer completed in 482.27s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19a-full-0022-v1
Waiting for inference service junhua024-chai-19a-full-0022-v1 to be ready
Inference service junhua024-chai-19a-full-0022-v1 ready after 171.25888800621033s
Pipeline stage MKMLDeployer completed in 171.79s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3891654014587402s
Received healthy response to inference request in 1.5637929439544678s
Received healthy response to inference request in 1.4478380680084229s
Received healthy response to inference request in 1.6845250129699707s
Received healthy response to inference request in 1.5714168548583984s
5 requests
0 failed requests
5th percentile: 1.4710290431976318
10th percentile: 1.4942200183868408
20th percentile: 1.5406019687652588
30th percentile: 1.565317726135254
40th percentile: 1.5683672904968262
50th percentile: 1.5714168548583984
60th percentile: 1.6166601181030273
70th percentile: 1.6619033813476562
80th percentile: 2.025453090667725
90th percentile: 2.7073092460632324
95th percentile: 3.048237323760986
99th percentile: 3.320979785919189
mean time: 1.93134765625
Pipeline stage StressChecker completed in 11.31s
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 0.76s
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 0.84s
Shutdown handler de-registered
junhua024-chai-19a-full-0022_v1 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 3009.47s
Shutdown handler de-registered
junhua024-chai-19a-full-0022_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19a-full-0022_v1 status is now torndown due to DeploymentManager action