junhua024-chai-02-full-06205

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06205_v2
model_name: junhua024-chai-02-full-06205_v2
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T16:34:25+00:00
num_battles: 7872
num_wins: 4019
celo_rating: 1284.06
family_friendly_score: 0.5516
family_friendly_standard_error: 0.007033312732987209
submission_type: basic
model_repo: junhua024/chai_02_full_06205
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': 0.5938158629789275, 'latency_mean': 1.6838424170017243, 'latency_p50': 1.706473708152771, 'latency_p90': 1.849907922744751}, {'batch_size': 3, 'throughput': 1.077506404497566, 'latency_mean': 2.7739233434200288, 'latency_p50': 2.812819004058838, 'latency_p90': 3.026262331008911}, {'batch_size': 5, 'throughput': 1.2999671994379243, 'latency_mean': 3.823986452817917, 'latency_p50': 3.8463706970214844, 'latency_p90': 4.266405916213989}, {'batch_size': 6, 'throughput': 1.3490687874459368, 'latency_mean': 4.422483073472977, 'latency_p50': 4.407325625419617, 'latency_p90': 4.9694846868515015}, {'batch_size': 8, 'throughput': 1.3962288508214966, 'latency_mean': 5.685698305368423, 'latency_p50': 5.722208380699158, 'latency_p90': 6.413979578018188}, {'batch_size': 10, 'throughput': 1.4373266212280829, 'latency_mean': 6.894515444040298, 'latency_p50': 6.952999234199524, 'latency_p90': 7.844106936454773}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06205_v2
is_internal_developer: False
language_model: junhua024/chai_02_full_06205
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-16
win_ratio: 0.5105436991869918
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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-02-full-06205-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v2-mkmlizer to finish
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junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06205-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-v2-mkmlizer: Downloaded to shared memory in 150.577s
junhua024-chai-02-full-06205-v2-mkmlizer: Checking if junhua024/chai_02_full_06205 already exists in ChaiML
junhua024-chai-02-full-06205-v2-mkmlizer: Creating repo ChaiML/chai_02_full_06205 and uploading /tmp/tmpt12ti2eb to it
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
junhua024-chai-02-full-06205-v2-mkmlizer:     response.raise_for_status()
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
junhua024-chai-02-full-06205-v2-mkmlizer:     raise HTTPError(http_error_msg, response=self)
junhua024-chai-02-full-06205-v2-mkmlizer: requests.exceptions.HTTPError: 409 Client Error: Conflict for url: https://huggingface.co/api/repos/create
junhua024-chai-02-full-06205-v2-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-02-full-06205-v2-mkmlizer:     cli()
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-02-full-06205-v2-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-02-full-06205-v2-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 46, in quantize
junhua024-chai-02-full-06205-v2-mkmlizer:     create_repo_and_upload_to_chaiml(repo_id, temp_folder)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 201, in create_repo_and_upload_to_chaiml
junhua024-chai-02-full-06205-v2-mkmlizer:     api.create_repo(chai_repo_id, private=True, repo_type="model")
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-02-full-06205-v2-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3709, in create_repo
junhua024-chai-02-full-06205-v2-mkmlizer:     hf_raise_for_status(r)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
junhua024-chai-02-full-06205-v2-mkmlizer:     raise _format(HfHubHTTPError, str(e), response) from e
junhua024-chai-02-full-06205-v2-mkmlizer: huggingface_hub.errors.HfHubHTTPError: 409 Client Error: Conflict for url: https://huggingface.co/api/repos/create (Request ID: Root=1-6877d52f-27decace3fc51a3d28ed1661;4c4b2d57-4065-4631-911a-61509fd2aae0)
junhua024-chai-02-full-06205-v2-mkmlizer: A repository with this name already exists
Job junhua024-chai-02-full-06205-v2-mkmlizer completed after 171.16s with status: failed
Stopping job with name junhua024-chai-02-full-06205-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-02-full-06205-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v2-mkmlizer to finish
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 203, in _new_conn
junhua024-chai-02-full-06205-v2-mkmlizer:     sock = connection.create_connection(
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/connection.py", line 60, in create_connection
junhua024-chai-02-full-06205-v2-mkmlizer:     for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 955, in getaddrinfo
junhua024-chai-02-full-06205-v2-mkmlizer:     for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
junhua024-chai-02-full-06205-v2-mkmlizer: socket.gaierror: [Errno -3] Temporary failure in name resolution
junhua024-chai-02-full-06205-v2-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
junhua024-chai-02-full-06205-v2-mkmlizer:     response = self._make_request(
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 491, in _make_request
junhua024-chai-02-full-06205-v2-mkmlizer:     raise new_e
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 467, in _make_request
junhua024-chai-02-full-06205-v2-mkmlizer:     self._validate_conn(conn)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1096, in _validate_conn
junhua024-chai-02-full-06205-v2-mkmlizer:     conn.connect()
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 611, in connect
junhua024-chai-02-full-06205-v2-mkmlizer:     self.sock = sock = self._new_conn()
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 210, in _new_conn
junhua024-chai-02-full-06205-v2-mkmlizer:     raise NameResolutionError(self.host, self, e) from e
junhua024-chai-02-full-06205-v2-mkmlizer: urllib3.exceptions.NameResolutionError: <urllib3.connection.HTTPSConnection object at 0x760a738bcc10>: Failed to resolve 'huggingface.co' ([Errno -3] Temporary failure in name resolution)
junhua024-chai-02-full-06205-v2-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
junhua024-chai-02-full-06205-v2-mkmlizer:     resp = conn.urlopen(
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
junhua024-chai-02-full-06205-v2-mkmlizer:     retries = retries.increment(
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 515, in increment
junhua024-chai-02-full-06205-v2-mkmlizer:     raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]
junhua024-chai-02-full-06205-v2-mkmlizer: urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/junhua024/chai_02_full_06205/paths-info/main (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x760a738bcc10>: Failed to resolve 'huggingface.co' ([Errno -3] Temporary failure in name resolution)"))
junhua024-chai-02-full-06205-v2-mkmlizer: During handling of the above exception, another exception occurred:
junhua024-chai-02-full-06205-v2-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-02-full-06205-v2-mkmlizer:     cli()
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-02-full-06205-v2-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-02-full-06205-v2-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-02-full-06205-v2-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-02-full-06205-v2-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
junhua024-chai-02-full-06205-v2-mkmlizer:     if repo_has_model_safetensors(repo_id, revision, token):
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/code/uploading/mkmlize.py", line 109, in repo_has_model_safetensors
junhua024-chai-02-full-06205-v2-mkmlizer:     files = [f.path for f in get_paths_info(repo_id, revision=revision, paths=["/"], token=token)]
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-02-full-06205-v2-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3354, in get_paths_info
junhua024-chai-02-full-06205-v2-mkmlizer:     response = get_session().post(
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 637, in post
junhua024-chai-02-full-06205-v2-mkmlizer:     return self.request("POST", url, data=data, json=json, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
junhua024-chai-02-full-06205-v2-mkmlizer:     resp = self.send(prep, **send_kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
junhua024-chai-02-full-06205-v2-mkmlizer:     r = adapter.send(request, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 96, in send
junhua024-chai-02-full-06205-v2-mkmlizer:     return super().send(request, *args, **kwargs)
junhua024-chai-02-full-06205-v2-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 700, in send
junhua024-chai-02-full-06205-v2-mkmlizer:     raise ConnectionError(e, request=request)
junhua024-chai-02-full-06205-v2-mkmlizer: requests.exceptions.ConnectionError: (MaxRetryError('HTTPSConnectionPool(host=\'huggingface.co\', port=443): Max retries exceeded with url: /api/models/junhua024/chai_02_full_06205/paths-info/main (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x760a738bcc10>: Failed to resolve \'huggingface.co\' ([Errno -3] Temporary failure in name resolution)"))'), '(Request ID: 26528153-5cad-45ac-961e-131e0cd57b1d)')
Job junhua024-chai-02-full-06205-v2-mkmlizer completed after 40.95s with status: failed
Stopping job with name junhua024-chai-02-full-06205-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-02-full-06205-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v2-mkmlizer to finish
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junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06205-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06205-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-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-02-full-06205-v2-mkmlizer: Downloaded to shared memory in 78.422s
junhua024-chai-02-full-06205-v2-mkmlizer: Checking if junhua024/chai_02_full_06205 already exists in ChaiML
junhua024-chai-02-full-06205-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgn9u9a60, device:0
junhua024-chai-02-full-06205-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06205-v2-mkmlizer: quantized model in 31.449s
junhua024-chai-02-full-06205-v2-mkmlizer: Processed model junhua024/chai_02_full_06205 in 109.961s
junhua024-chai-02-full-06205-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06205-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia
junhua024-chai-02-full-06205-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia/config.json
junhua024-chai-02-full-06205-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia/special_tokens_map.json
junhua024-chai-02-full-06205-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia/tokenizer_config.json
junhua024-chai-02-full-06205-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia/tokenizer.json
junhua024-chai-02-full-06205-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-06205-v2-mkmlizer: 
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Job junhua024-chai-02-full-06205-v2-mkmlizer completed after 139.58s with status: succeeded
Stopping job with name junhua024-chai-02-full-06205-v2-mkmlizer
Pipeline stage MKMLizer completed in 353.32s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-06205-v2
Waiting for inference service junhua024-chai-02-full-06205-v2 to be ready
Inference service junhua024-chai-02-full-06205-v2 ready after 261.234956741333s
Pipeline stage MKMLDeployer completed in 261.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.422959089279175s
Received healthy response to inference request in 2.158259153366089s
Received healthy response to inference request in 1.53033447265625s
Received healthy response to inference request in 1.7499089241027832s
Received healthy response to inference request in 1.5919091701507568s
5 requests
0 failed requests
5th percentile: 1.5426494121551513
10th percentile: 1.5549643516540528
20th percentile: 1.5795942306518556
30th percentile: 1.623509120941162
40th percentile: 1.6867090225219727
50th percentile: 1.7499089241027832
60th percentile: 1.9132490158081055
70th percentile: 2.0765891075134277
80th percentile: 2.211199140548706
90th percentile: 2.3170791149139403
95th percentile: 2.3700191020965575
99th percentile: 2.4123710918426515
mean time: 1.8906741619110108
Pipeline stage StressChecker completed in 11.50s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.79s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
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Running pipeline stage MKMLProfilerDeleter
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Pipeline stage MKMLProfilerTemplater completed in 0.16s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-06205-v2-profiler
Waiting for inference service junhua024-chai-02-full-06205-v2-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3724.45s
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junhua024-chai-02-full-06205_v2 status is now inactive due to auto deactivation removed underperforming models
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Deleting key zmeeks-capitanito-53-v15/nvidia/special_tokens_map.json from bucket guanaco-mkml-models
junhua024-chai-02-full-06205_v2 status is now torndown due to DeploymentManager action