junhua024-chai-02-full-06205

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06205_v3
model_name: junhua024-chai-02-full-06205_v3
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T16:35:29+00:00
num_battles: 7448
num_wins: 3694
celo_rating: 1272.48
family_friendly_score: 0.5544
family_friendly_standard_error: 0.0070290915486995904
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': 0.5986141508328334, 'latency_mean': 1.6703464519977569, 'latency_p50': 1.6739684343338013, 'latency_p90': 1.8482198476791383}, {'batch_size': 3, 'throughput': 1.0666246802009265, 'latency_mean': 2.795373705625534, 'latency_p50': 2.787577986717224, 'latency_p90': 3.045610213279724}, {'batch_size': 5, 'throughput': 1.2842271916647412, 'latency_mean': 3.8666961872577668, 'latency_p50': 3.8817052841186523, 'latency_p90': 4.346101856231689}, {'batch_size': 6, 'throughput': 1.332340122573872, 'latency_mean': 4.474211090803147, 'latency_p50': 4.46872091293335, 'latency_p90': 5.096779727935791}, {'batch_size': 8, 'throughput': 1.3887996394283162, 'latency_mean': 5.725133817195893, 'latency_p50': 5.678907752037048, 'latency_p90': 6.389080834388733}, {'batch_size': 10, 'throughput': 1.4312902661654945, 'latency_mean': 6.933786698579788, 'latency_p50': 6.9296077489852905, 'latency_p90': 7.765071249008178}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06205_v3
is_internal_developer: False
language_model: junhua024/chai_02_full_06205
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-16
win_ratio: 0.4959720730397422
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-v3-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v3-mkmlizer to finish
junhua024-chai-02-full-06205-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06205-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06205-v3-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-v3-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-v3-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-v3-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-v3-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
junhua024-chai-02-full-06205-v3-mkmlizer:     response = conn.getresponse()
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
junhua024-chai-02-full-06205-v3-mkmlizer:     httplib_response = super().getresponse()
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
junhua024-chai-02-full-06205-v3-mkmlizer:     response.begin()
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
junhua024-chai-02-full-06205-v3-mkmlizer:     version, status, reason = self._read_status()
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
junhua024-chai-02-full-06205-v3-mkmlizer:     line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
junhua024-chai-02-full-06205-v3-mkmlizer:     return self._sock.recv_into(b)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
junhua024-chai-02-full-06205-v3-mkmlizer:     return self.read(nbytes, buffer)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
junhua024-chai-02-full-06205-v3-mkmlizer:     return self._sslobj.read(len, buffer)
junhua024-chai-02-full-06205-v3-mkmlizer: TimeoutError: The read operation timed out
junhua024-chai-02-full-06205-v3-mkmlizer: The above exception was the direct cause of the following exception:
junhua024-chai-02-full-06205-v3-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
junhua024-chai-02-full-06205-v3-mkmlizer:     resp = conn.urlopen(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
junhua024-chai-02-full-06205-v3-mkmlizer:     retries = retries.increment(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
junhua024-chai-02-full-06205-v3-mkmlizer:     raise reraise(type(error), error, _stacktrace)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
junhua024-chai-02-full-06205-v3-mkmlizer:     raise value
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
junhua024-chai-02-full-06205-v3-mkmlizer:     response = self._make_request(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
junhua024-chai-02-full-06205-v3-mkmlizer:     self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
junhua024-chai-02-full-06205-v3-mkmlizer:     raise ReadTimeoutError(
junhua024-chai-02-full-06205-v3-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='cas-bridge.xethub.hf.co', port=443): Read timed out. (read timeout=10)
junhua024-chai-02-full-06205-v3-mkmlizer: During handling of the above exception, another exception occurred:
junhua024-chai-02-full-06205-v3-mkmlizer: Traceback (most recent call last):
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
junhua024-chai-02-full-06205-v3-mkmlizer:     cli()
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
junhua024-chai-02-full-06205-v3-mkmlizer:     return self.main(*args, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
junhua024-chai-02-full-06205-v3-mkmlizer:     rv = self.invoke(ctx)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
junhua024-chai-02-full-06205-v3-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
junhua024-chai-02-full-06205-v3-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
junhua024-chai-02-full-06205-v3-mkmlizer:     return __callback(*args, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
junhua024-chai-02-full-06205-v3-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
junhua024-chai-02-full-06205-v3-mkmlizer:     snapshot_download(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-02-full-06205-v3-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
junhua024-chai-02-full-06205-v3-mkmlizer:     _inner_hf_hub_download(file)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
junhua024-chai-02-full-06205-v3-mkmlizer:     return hf_hub_download(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
junhua024-chai-02-full-06205-v3-mkmlizer:     return fn(*args, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
junhua024-chai-02-full-06205-v3-mkmlizer:     return _hf_hub_download_to_local_dir(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1241, in _hf_hub_download_to_local_dir
junhua024-chai-02-full-06205-v3-mkmlizer:     _download_to_tmp_and_move(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
junhua024-chai-02-full-06205-v3-mkmlizer:     http_get(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 376, in http_get
junhua024-chai-02-full-06205-v3-mkmlizer:     r = _request_wrapper(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 308, in _request_wrapper
junhua024-chai-02-full-06205-v3-mkmlizer:     response = get_session().request(method=method, url=url, **params)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
junhua024-chai-02-full-06205-v3-mkmlizer:     resp = self.send(prep, **send_kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 724, in send
junhua024-chai-02-full-06205-v3-mkmlizer:     history = [resp for resp in gen]
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 724, in <listcomp>
junhua024-chai-02-full-06205-v3-mkmlizer:     history = [resp for resp in gen]
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 265, in resolve_redirects
junhua024-chai-02-full-06205-v3-mkmlizer:     resp = self.send(
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
junhua024-chai-02-full-06205-v3-mkmlizer:     r = adapter.send(request, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 96, in send
junhua024-chai-02-full-06205-v3-mkmlizer:     return super().send(request, *args, **kwargs)
junhua024-chai-02-full-06205-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
junhua024-chai-02-full-06205-v3-mkmlizer:     raise ReadTimeout(e, request=request)
junhua024-chai-02-full-06205-v3-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='cas-bridge.xethub.hf.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 316764cc-fbb7-491c-93d7-8cac52b3c823)')
Job junhua024-chai-02-full-06205-v3-mkmlizer completed after 49.21s with status: failed
Stopping job with name junhua024-chai-02-full-06205-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name junhua024-chai-02-full-06205-v3-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v3-mkmlizer to finish
junhua024-chai-02-full-06205-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06205-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06205-v3-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06205-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-mkmlizer: Downloaded to shared memory in 77.412s
junhua024-chai-02-full-06205-v3-mkmlizer: Checking if junhua024/chai_02_full_06205 already exists in ChaiML
junhua024-chai-02-full-06205-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvv7_hd_g, device:0
junhua024-chai-02-full-06205-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06205-v3-mkmlizer: quantized model in 32.638s
junhua024-chai-02-full-06205-v3-mkmlizer: Processed model junhua024/chai_02_full_06205 in 110.137s
junhua024-chai-02-full-06205-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-06205-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06205-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia
junhua024-chai-02-full-06205-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia/config.json
junhua024-chai-02-full-06205-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia/special_tokens_map.json
junhua024-chai-02-full-06205-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia/tokenizer_config.json
junhua024-chai-02-full-06205-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia/tokenizer.json
junhua024-chai-02-full-06205-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-06205-v3-mkmlizer: 
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Job junhua024-chai-02-full-06205-v3-mkmlizer completed after 140.34s with status: succeeded
Stopping job with name junhua024-chai-02-full-06205-v3-mkmlizer
Pipeline stage MKMLizer completed in 190.78s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-06205-v3
Waiting for inference service junhua024-chai-02-full-06205-v3 to be ready
Inference service junhua024-chai-02-full-06205-v3 ready after 271.9449350833893s
Pipeline stage MKMLDeployer completed in 272.47s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.756281852722168s
Received healthy response to inference request in 1.8018536567687988s
Received healthy response to inference request in 1.5185551643371582s
Received healthy response to inference request in 2.1002659797668457s
5 requests
1 failed requests
5th percentile: 1.5752148628234863
10th percentile: 1.6318745613098145
20th percentile: 1.7451939582824707
30th percentile: 1.8615361213684083
40th percentile: 1.980901050567627
50th percentile: 2.1002659797668457
60th percentile: 2.3626723289489746
70th percentile: 2.6250786781311035
80th percentile: 6.251802396774295
90th percentile: 13.242843484878541
95th percentile: 16.73836402893066
99th percentile: 19.534780464172364
mean time: 5.682168245315552
%s, retrying in %s seconds...
Received healthy response to inference request in 2.1323564052581787s
Received healthy response to inference request in 1.8911445140838623s
Received healthy response to inference request in 1.8978221416473389s
Received healthy response to inference request in 1.9605517387390137s
Received healthy response to inference request in 2.114434242248535s
5 requests
0 failed requests
5th percentile: 1.8924800395965575
10th percentile: 1.893815565109253
20th percentile: 1.8964866161346436
30th percentile: 1.910368061065674
40th percentile: 1.9354598999023438
50th percentile: 1.9605517387390137
60th percentile: 2.0221047401428223
70th percentile: 2.083657741546631
80th percentile: 2.1180186748504637
90th percentile: 2.125187540054321
95th percentile: 2.12877197265625
99th percentile: 2.131639518737793
mean time: 1.9992618083953857
Pipeline stage StressChecker completed in 42.65s
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 0.80s
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 0.73s
Shutdown handler de-registered
junhua024-chai-02-full-06205_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3669.91s
Shutdown handler de-registered
junhua024-chai-02-full-06205_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-06205_v3 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-06205_v3 status is now torndown due to DeploymentManager action