intervitensinc-gemma-2-_70884

developer_uid: NischayDnk
submission_id: intervitensinc-gemma-2-_70884_v1
model_name: intervitensinc-gemma-2-_70884_v1
model_group: IntervitensInc/gemma-2-2
status: torndown
timestamp: 2025-03-30T06:03:44+00:00
num_battles: 17
num_wins: 7
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: IntervitensInc/gemma-2-27b-chatml
model_architecture: Gemma2ForCausalLM
model_num_parameters: 28731935232.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.27706115821617144, 'latency_mean': 3.609245368242264, 'latency_p50': 3.591902494430542, 'latency_p90': 3.970543551445007}, {'batch_size': 2, 'throughput': 0.4182812807251999, 'latency_mean': 4.76887134552002, 'latency_p50': 4.757167935371399, 'latency_p90': 5.269580626487732}, {'batch_size': 3, 'throughput': 0.5258973959122493, 'latency_mean': 5.6887539565563205, 'latency_p50': 5.701555132865906, 'latency_p90': 6.23805091381073}, {'batch_size': 5, 'throughput': 0.6689993448771586, 'latency_mean': 7.444296939373016, 'latency_p50': 7.410524964332581, 'latency_p90': 8.363013052940369}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: intervitensinc-gemma-2-_70884_v1
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: IntervitensInc/gemma-2-27b-chatml
model_size: 29B
ranking_group: single
throughput_3p7s: 0.29
us_pacific_date: 2025-03-29
win_ratio: 0.4117647058823529
generation_params: {'temperature': 0.45, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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 intervitensinc-gemma-2-70884-v1-mkmlizer
Waiting for job on intervitensinc-gemma-2-70884-v1-mkmlizer to finish
intervitensinc-gemma-2-70884-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
intervitensinc-gemma-2-70884-v1-mkmlizer: ║     _____            __           __                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║       /___/                                                         ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  https://mk1.ai                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  belonging to:                                                      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Chai Research Corp.                                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = conn.getresponse()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
intervitensinc-gemma-2-70884-v1-mkmlizer:     httplib_response = super().getresponse()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
intervitensinc-gemma-2-70884-v1-mkmlizer:     response.begin()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
intervitensinc-gemma-2-70884-v1-mkmlizer:     version, status, reason = self._read_status()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
intervitensinc-gemma-2-70884-v1-mkmlizer:     line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self._sock.recv_into(b)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self.read(nbytes, buffer)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self._sslobj.read(len, buffer)
intervitensinc-gemma-2-70884-v1-mkmlizer: TimeoutError: The read operation timed out
intervitensinc-gemma-2-70884-v1-mkmlizer: The above exception was the direct cause of the following exception:
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     resp = conn.urlopen(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
intervitensinc-gemma-2-70884-v1-mkmlizer:     retries = retries.increment(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise reraise(type(error), error, _stacktrace)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise value
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = self._make_request(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
intervitensinc-gemma-2-70884-v1-mkmlizer:     self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise ReadTimeoutError(
intervitensinc-gemma-2-70884-v1-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
intervitensinc-gemma-2-70884-v1-mkmlizer: During handling of the above exception, another exception occurred:
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 193, in <module>
intervitensinc-gemma-2-70884-v1-mkmlizer:     cli()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self.main(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
intervitensinc-gemma-2-70884-v1-mkmlizer:     rv = self.invoke(ctx)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return __callback(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 39, in quantize
intervitensinc-gemma-2-70884-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
intervitensinc-gemma-2-70884-v1-mkmlizer:     snapshot_download(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
intervitensinc-gemma-2-70884-v1-mkmlizer:     return fn(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     _inner_hf_hub_download(file)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     return hf_hub_download(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
intervitensinc-gemma-2-70884-v1-mkmlizer:     return fn(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 840, in hf_hub_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1136, in _hf_hub_download_to_local_dir
intervitensinc-gemma-2-70884-v1-mkmlizer:     _download_to_tmp_and_move(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1543, in _download_to_tmp_and_move
intervitensinc-gemma-2-70884-v1-mkmlizer:     http_get(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 369, in http_get
intervitensinc-gemma-2-70884-v1-mkmlizer:     r = _request_wrapper(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 301, in _request_wrapper
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = get_session().request(method=method, url=url, **params)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
intervitensinc-gemma-2-70884-v1-mkmlizer:     resp = self.send(prep, **send_kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     r = adapter.send(request, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 93, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     return super().send(request, *args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise ReadTimeout(e, request=request)
intervitensinc-gemma-2-70884-v1-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 83c7666a-ca1c-4884-91dc-cb653b281567)')
Job intervitensinc-gemma-2-70884-v1-mkmlizer completed after 190.96s with status: failed
Stopping job with name intervitensinc-gemma-2-70884-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name intervitensinc-gemma-2-70884-v1-mkmlizer
Waiting for job on intervitensinc-gemma-2-70884-v1-mkmlizer to finish
intervitensinc-gemma-2-70884-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
intervitensinc-gemma-2-70884-v1-mkmlizer: ║     _____            __           __                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║       /___/                                                         ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  https://mk1.ai                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  belonging to:                                                      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Chai Research Corp.                                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = conn.getresponse()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
intervitensinc-gemma-2-70884-v1-mkmlizer:     httplib_response = super().getresponse()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
intervitensinc-gemma-2-70884-v1-mkmlizer:     response.begin()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
intervitensinc-gemma-2-70884-v1-mkmlizer:     version, status, reason = self._read_status()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
intervitensinc-gemma-2-70884-v1-mkmlizer:     line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self._sock.recv_into(b)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self.read(nbytes, buffer)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self._sslobj.read(len, buffer)
intervitensinc-gemma-2-70884-v1-mkmlizer: TimeoutError: The read operation timed out
intervitensinc-gemma-2-70884-v1-mkmlizer: The above exception was the direct cause of the following exception:
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     resp = conn.urlopen(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
intervitensinc-gemma-2-70884-v1-mkmlizer:     retries = retries.increment(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise reraise(type(error), error, _stacktrace)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise value
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = self._make_request(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
intervitensinc-gemma-2-70884-v1-mkmlizer:     self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise ReadTimeoutError(
intervitensinc-gemma-2-70884-v1-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
intervitensinc-gemma-2-70884-v1-mkmlizer: During handling of the above exception, another exception occurred:
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1374, in _get_metadata_or_catch_error
intervitensinc-gemma-2-70884-v1-mkmlizer:     metadata = get_hf_file_metadata(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
intervitensinc-gemma-2-70884-v1-mkmlizer:     return fn(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1294, in get_hf_file_metadata
intervitensinc-gemma-2-70884-v1-mkmlizer:     r = _request_wrapper(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 278, in _request_wrapper
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = _request_wrapper(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 301, in _request_wrapper
intervitensinc-gemma-2-70884-v1-mkmlizer:     response = get_session().request(method=method, url=url, **params)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
intervitensinc-gemma-2-70884-v1-mkmlizer:     resp = self.send(prep, **send_kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     r = adapter.send(request, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 93, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     return super().send(request, *args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise ReadTimeout(e, request=request)
intervitensinc-gemma-2-70884-v1-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: eb596fa9-0414-49f9-9e2e-32cde7c13b59)')
intervitensinc-gemma-2-70884-v1-mkmlizer: The above exception was the direct cause of the following exception:
intervitensinc-gemma-2-70884-v1-mkmlizer: Traceback (most recent call last):
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 193, in <module>
intervitensinc-gemma-2-70884-v1-mkmlizer:     cli()
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
intervitensinc-gemma-2-70884-v1-mkmlizer:     return self.main(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
intervitensinc-gemma-2-70884-v1-mkmlizer:     rv = self.invoke(ctx)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
intervitensinc-gemma-2-70884-v1-mkmlizer:     return __callback(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 39, in quantize
intervitensinc-gemma-2-70884-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
intervitensinc-gemma-2-70884-v1-mkmlizer:     snapshot_download(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
intervitensinc-gemma-2-70884-v1-mkmlizer:     return fn(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     _inner_hf_hub_download(file)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     return hf_hub_download(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
intervitensinc-gemma-2-70884-v1-mkmlizer:     return fn(*args, **kwargs)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 840, in hf_hub_download
intervitensinc-gemma-2-70884-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1089, in _hf_hub_download_to_local_dir
intervitensinc-gemma-2-70884-v1-mkmlizer:     _raise_on_head_call_error(head_call_error, force_download, local_files_only)
intervitensinc-gemma-2-70884-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1485, in _raise_on_head_call_error
intervitensinc-gemma-2-70884-v1-mkmlizer:     raise LocalEntryNotFoundError(
intervitensinc-gemma-2-70884-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 intervitensinc-gemma-2-70884-v1-mkmlizer completed after 151.58s with status: failed
Stopping job with name intervitensinc-gemma-2-70884-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name intervitensinc-gemma-2-70884-v1-mkmlizer
Waiting for job on intervitensinc-gemma-2-70884-v1-mkmlizer to finish
intervitensinc-gemma-2-70884-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
intervitensinc-gemma-2-70884-v1-mkmlizer: ║     _____            __           __                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║       /___/                                                         ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  https://mk1.ai                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  belonging to:                                                      ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Chai Research Corp.                                                ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ║                                                                     ║
intervitensinc-gemma-2-70884-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
intervitensinc-gemma-2-70884-v1-mkmlizer: Downloaded to shared memory in 145.674s
intervitensinc-gemma-2-70884-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpf5d3_4l1, device:0
intervitensinc-gemma-2-70884-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
intervitensinc-gemma-2-70884-v1-mkmlizer: quantized model in 77.360s
intervitensinc-gemma-2-70884-v1-mkmlizer: Processed model IntervitensInc/gemma-2-27b-chatml in 223.034s
intervitensinc-gemma-2-70884-v1-mkmlizer: creating bucket guanaco-mkml-models
intervitensinc-gemma-2-70884-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
intervitensinc-gemma-2-70884-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/config.json
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/special_tokens_map.json
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/tokenizer_config.json
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/tokenizer.model
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/tokenizer.json
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/flywheel_model.2.safetensors
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/flywheel_model.0.safetensors
intervitensinc-gemma-2-70884-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/intervitensinc-gemma-2-70884-v1/flywheel_model.1.safetensors
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Job intervitensinc-gemma-2-70884-v1-mkmlizer completed after 259.85s with status: succeeded
Stopping job with name intervitensinc-gemma-2-70884-v1-mkmlizer
Pipeline stage MKMLizer completed in 603.99s
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 intervitensinc-gemma-2-70884-v1
Waiting for inference service intervitensinc-gemma-2-70884-v1 to be ready
Inference service intervitensinc-gemma-2-70884-v1 ready after 120.41231393814087s
Pipeline stage MKMLDeployer completed in 121.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.257946014404297s
Received healthy response to inference request in 3.2106871604919434s
Received healthy response to inference request in 3.202897310256958s
Received healthy response to inference request in 3.156376838684082s
Received healthy response to inference request in 3.486743927001953s
5 requests
0 failed requests
5th percentile: 3.165680932998657
10th percentile: 3.1749850273132325
20th percentile: 3.193593215942383
30th percentile: 3.204455280303955
40th percentile: 3.2075712203979494
50th percentile: 3.2106871604919434
60th percentile: 3.3211098670959474
70th percentile: 3.431532573699951
80th percentile: 3.640984344482422
90th percentile: 3.9494651794433593
95th percentile: 4.103705596923828
99th percentile: 4.2270979309082035
mean time: 3.4629302501678465
Pipeline stage StressChecker completed in 19.28s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.84s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.82s
Shutdown handler de-registered
intervitensinc-gemma-2-_70884_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.18s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.16s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service intervitensinc-gemma-2-70884-v1-profiler
Waiting for inference service intervitensinc-gemma-2-70884-v1-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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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
intervitensinc-gemma-2-_70884_v1 status is now torndown due to DeploymentManager action