junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v15
model_name: junhua024-chai-1-full-002_v15
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T06:26:14+00:00
num_battles: 7439
num_wins: 3376
celo_rating: 1248.38
family_friendly_score: 0.5920000000000001
family_friendly_standard_error: 0.006950338121271511
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.5946957428327649, 'latency_mean': 1.6814118576049806, 'latency_p50': 1.6790595054626465, 'latency_p90': 1.8544371604919434}, {'batch_size': 3, 'throughput': 1.073051159514292, 'latency_mean': 2.7918986797332765, 'latency_p50': 2.7939804792404175, 'latency_p90': 3.060876655578613}, {'batch_size': 5, 'throughput': 1.2832018780797874, 'latency_mean': 3.875188069343567, 'latency_p50': 3.8562941551208496, 'latency_p90': 4.351564979553222}, {'batch_size': 6, 'throughput': 1.3470280941207902, 'latency_mean': 4.427885481119156, 'latency_p50': 4.4523245096206665, 'latency_p90': 4.923762392997742}, {'batch_size': 8, 'throughput': 1.4052115138900627, 'latency_mean': 5.640580216646194, 'latency_p50': 5.637808680534363, 'latency_p90': 6.296620488166809}, {'batch_size': 10, 'throughput': 1.4377148388520917, 'latency_mean': 6.89744403719902, 'latency_p50': 6.920597553253174, 'latency_p90': 7.822815585136413}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v15
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-06-28
win_ratio: 0.4538244387686517
generation_params: {'temperature': 1.0, 'top_p': 0.95, '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': "{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-1-full-002-v15-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v15-mkmlizer to finish
junhua024-chai-1-full-002-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
junhua024-chai-1-full-002-v15-mkmlizer:     response = conn.getresponse()
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
junhua024-chai-1-full-002-v15-mkmlizer:     httplib_response = super().getresponse()
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
junhua024-chai-1-full-002-v15-mkmlizer:     response.begin()
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
junhua024-chai-1-full-002-v15-mkmlizer:     version, status, reason = self._read_status()
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
junhua024-chai-1-full-002-v15-mkmlizer:     line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
junhua024-chai-1-full-002-v15-mkmlizer:     return self._sock.recv_into(b)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
junhua024-chai-1-full-002-v15-mkmlizer:     return self.read(nbytes, buffer)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
junhua024-chai-1-full-002-v15-mkmlizer:     return self._sslobj.read(len, buffer)
junhua024-chai-1-full-002-v15-mkmlizer: TimeoutError: The read operation timed out
junhua024-chai-1-full-002-v15-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-002-v15-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
junhua024-chai-1-full-002-v15-mkmlizer:     resp = conn.urlopen(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
junhua024-chai-1-full-002-v15-mkmlizer:     retries = retries.increment(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
junhua024-chai-1-full-002-v15-mkmlizer:     raise reraise(type(error), error, _stacktrace)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
junhua024-chai-1-full-002-v15-mkmlizer:     raise value
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
junhua024-chai-1-full-002-v15-mkmlizer:     response = self._make_request(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
junhua024-chai-1-full-002-v15-mkmlizer:     self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
junhua024-chai-1-full-002-v15-mkmlizer:     raise ReadTimeoutError(
junhua024-chai-1-full-002-v15-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
junhua024-chai-1-full-002-v15-mkmlizer: During handling of the above exception, another exception occurred:
junhua024-chai-1-full-002-v15-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1484, in _get_metadata_or_catch_error
junhua024-chai-1-full-002-v15-mkmlizer:     metadata = get_hf_file_metadata(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-002-v15-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1401, in get_hf_file_metadata
junhua024-chai-1-full-002-v15-mkmlizer:     r = _request_wrapper(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper
junhua024-chai-1-full-002-v15-mkmlizer:     response = _request_wrapper(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 308, in _request_wrapper
junhua024-chai-1-full-002-v15-mkmlizer:     response = get_session().request(method=method, url=url, **params)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
junhua024-chai-1-full-002-v15-mkmlizer:     resp = self.send(prep, **send_kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
junhua024-chai-1-full-002-v15-mkmlizer:     r = adapter.send(request, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 96, in send
junhua024-chai-1-full-002-v15-mkmlizer:     return super().send(request, *args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
junhua024-chai-1-full-002-v15-mkmlizer:     raise ReadTimeout(e, request=request)
junhua024-chai-1-full-002-v15-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 0852ad73-ae7b-4b6f-a492-6f4787a59604)')
junhua024-chai-1-full-002-v15-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-1-full-002-v15-mkmlizer: Traceback (most recent call last):
junhua024-chai-1-full-002-v15-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-1-full-002-v15-mkmlizer:     cli()
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-1-full-002-v15-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-1-full-002-v15-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-1-full-002-v15-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-1-full-002-v15-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-1-full-002-v15-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-1-full-002-v15-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-1-full-002-v15-mkmlizer:     snapshot_download(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-002-v15-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-1-full-002-v15-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-1-full-002-v15-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-002-v15-mkmlizer:     return hf_hub_download(
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-1-full-002-v15-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
junhua024-chai-1-full-002-v15-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-1-full-002-v15-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-1-full-002-v15-mkmlizer:     _raise_on_head_call_error(head_call_error, force_download, local_files_only)
junhua024-chai-1-full-002-v15-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1599, in _raise_on_head_call_error
junhua024-chai-1-full-002-v15-mkmlizer:     raise LocalEntryNotFoundError(
junhua024-chai-1-full-002-v15-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-1-full-002-v15-mkmlizer completed after 79.25s with status: failed
Stopping job with name junhua024-chai-1-full-002-v15-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-1-full-002-v15-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v15-mkmlizer to finish
junhua024-chai-1-full-002-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v15-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v15-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-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-002-v15-mkmlizer: Downloaded to shared memory in 79.009s
junhua024-chai-1-full-002-v15-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v15-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpt1n_nsfd, device:0
junhua024-chai-1-full-002-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v15-mkmlizer: quantized model in 30.577s
junhua024-chai-1-full-002-v15-mkmlizer: Processed model junhua024/chai_1-full_002 in 109.675s
junhua024-chai-1-full-002-v15-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15
junhua024-chai-1-full-002-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15/config.json
junhua024-chai-1-full-002-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15/special_tokens_map.json
junhua024-chai-1-full-002-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15/tokenizer_config.json
junhua024-chai-1-full-002-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15/tokenizer.json
junhua024-chai-1-full-002-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v15/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v15-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:00<00:20, 17.41it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:18, 19.22it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 30.25it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:11, 31.41it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:09, 34.02it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 45.34it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:09, 33.61it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:09, 34.41it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:07, 41.76it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:08, 36.05it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:08, 35.54it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 36.76it/s]
Loading 0:  19%|█▉        | 69/363 [00:01<00:08, 35.66it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:08, 35.12it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 33.04it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 38.03it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 36.40it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:07, 37.13it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:07, 36.42it/s]
Loading 0:  29%|██▉       | 105/363 [00:03<00:07, 33.25it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:06, 39.29it/s]
Loading 0:  32%|███▏      | 117/363 [00:03<00:07, 32.18it/s]
Loading 0:  34%|███▎      | 122/363 [00:03<00:07, 33.92it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:06, 34.70it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 34.01it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:06, 37.61it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 35.54it/s]
Loading 0:  40%|████      | 147/363 [00:04<00:05, 37.14it/s]
Loading 0:  42%|████▏     | 151/363 [00:04<00:05, 36.47it/s]
Loading 0:  43%|████▎     | 157/363 [00:04<00:04, 42.16it/s]
Loading 0:  45%|████▍     | 162/363 [00:04<00:06, 31.81it/s]
Loading 0:  46%|████▌     | 167/363 [00:04<00:06, 32.54it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:04, 40.47it/s]
Loading 0:  50%|████▉     | 181/363 [00:05<00:05, 35.23it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 34.39it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:04, 35.79it/s]
Loading 0:  54%|█████▎    | 195/363 [00:05<00:04, 34.78it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 34.83it/s]
Loading 0:  57%|█████▋    | 206/363 [00:05<00:04, 34.23it/s]
Loading 0:  58%|█████▊    | 212/363 [00:06<00:04, 34.65it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:03, 39.78it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:03, 36.10it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:03, 35.44it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:03, 33.06it/s]
Loading 0:  66%|██████▌   | 239/363 [00:06<00:03, 39.11it/s]
Loading 0:  67%|██████▋   | 243/363 [00:06<00:03, 31.84it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 33.70it/s]
Loading 0:  70%|██████▉   | 254/363 [00:07<00:03, 34.73it/s]
Loading 0:  71%|███████   | 258/363 [00:07<00:03, 34.00it/s]
Loading 0:  72%|███████▏  | 263/363 [00:07<00:02, 37.59it/s]
Loading 0:  74%|███████▍  | 268/363 [00:07<00:02, 35.37it/s]
Loading 0:  75%|███████▍  | 272/363 [00:07<00:02, 36.21it/s]
Loading 0:  76%|███████▌  | 276/363 [00:07<00:02, 34.04it/s]
Loading 0:  77%|███████▋  | 281/363 [00:07<00:02, 37.62it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 35.76it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 35.88it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 33.66it/s]
Loading 0:  83%|████████▎ | 302/363 [00:08<00:01, 39.67it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:01, 31.73it/s]
Loading 0:  86%|████████▌ | 311/363 [00:08<00:01, 33.80it/s]
Loading 0:  87%|████████▋ | 317/363 [00:08<00:01, 34.15it/s]
Loading 0:  88%|████████▊ | 321/363 [00:09<00:01, 33.57it/s]
Loading 0:  90%|█████████ | 327/363 [00:09<00:01, 34.04it/s]
Loading 0:  91%|█████████▏| 332/363 [00:09<00:00, 33.61it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 34.69it/s]
Loading 0:  95%|█████████▍| 344/363 [00:09<00:00, 38.81it/s]
Loading 0:  96%|█████████▌| 349/363 [00:10<00:00, 26.56it/s]
Loading 0:  97%|█████████▋| 353/363 [00:10<00:00, 24.81it/s]
Loading 0:  98%|█████████▊| 357/363 [00:10<00:00, 26.54it/s]
                                                            
Job junhua024-chai-1-full-002-v15-mkmlizer completed after 176.25s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v15-mkmlizer
Pipeline stage MKMLizer completed in 256.51s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.29s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-002-v15
Waiting for inference service junhua024-chai-1-full-002-v15 to be ready
Inference service junhua024-chai-1-full-002-v15 ready after 291.6051678657532s
Pipeline stage MKMLDeployer completed in 292.19s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.531618356704712s
Received healthy response to inference request in 1.680312156677246s
Received healthy response to inference request in 1.6434440612792969s
Received healthy response to inference request in 1.7434353828430176s
Received healthy response to inference request in 1.9370241165161133s
5 requests
0 failed requests
5th percentile: 1.6508176803588868
10th percentile: 1.6581912994384767
20th percentile: 1.6729385375976562
30th percentile: 1.6929368019104003
40th percentile: 1.718186092376709
50th percentile: 1.7434353828430176
60th percentile: 1.8208708763122559
70th percentile: 1.8983063697814941
80th percentile: 2.055942964553833
90th percentile: 2.2937806606292725
95th percentile: 2.412699508666992
99th percentile: 2.507834587097168
mean time: 1.9071668148040772
Pipeline stage StressChecker completed in 12.57s
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 0.85s
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 0.74s
Shutdown handler de-registered
junhua024-chai-1-full-002_v15 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-002-v15-profiler
Waiting for inference service junhua024-chai-1-full-002-v15-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 2479.84s
Shutdown handler de-registered
junhua024-chai-1-full-002_v15 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v15 status is now torndown due to DeploymentManager action