chaiml-mistral32-deepse_16364

developer_uid: NischayDnk
submission_id: chaiml-mistral32-deepse_16364_v3
model_name: chaiml-mistral32-deepse_16364_v3
model_group: ChaiML/mistral32_deepsee
status: torndown
timestamp: 2025-07-09T06:16:43+00:00
num_battles: 6315
num_wins: 3476
celo_rating: 1333.78
family_friendly_score: 0.501
family_friendly_standard_error: 0.00707105366971571
submission_type: basic
model_repo: ChaiML/mistral32_deepseek_cpos2_sfts11306_seq96_exp6
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 6
max_input_tokens: 1024
max_output_tokens: 80
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4415107004692058, 'latency_mean': 2.2648474371433256, 'latency_p50': 2.26073956489563, 'latency_p90': 2.452312159538269}, {'batch_size': 3, 'throughput': 0.9458461674987126, 'latency_mean': 3.1537726759910583, 'latency_p50': 3.16720712184906, 'latency_p90': 3.4308955907821654}, {'batch_size': 5, 'throughput': 1.252227990335047, 'latency_mean': 3.985647357702255, 'latency_p50': 3.9755170345306396, 'latency_p90': 4.4402384757995605}, {'batch_size': 6, 'throughput': 1.3525475607910866, 'latency_mean': 4.411515443325043, 'latency_p50': 4.413058757781982, 'latency_p90': 4.87051215171814}, {'batch_size': 8, 'throughput': 1.5341674442915694, 'latency_mean': 5.193144052028656, 'latency_p50': 5.239403486251831, 'latency_p90': 5.7569211483001705}, {'batch_size': 10, 'throughput': 1.631016515656787, 'latency_mean': 6.079205225706101, 'latency_p50': 6.115644454956055, 'latency_p90': 6.737980628013611}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-deepse_16364_v3
ineligible_reason: max_output_tokens!=64
is_internal_developer: False
language_model: ChaiML/mistral32_deepseek_cpos2_sfts11306_seq96_exp6
model_size: 24B
ranking_group: single
throughput_3p7s: 1.17
us_pacific_date: 2025-07-08
win_ratio: 0.5504354711005542
generation_params: {'temperature': 0.725, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '</s>', '\n', '###', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 6, 'max_output_tokens': 80}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}
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 chaiml-mistral32-deepse-16364-v3-mkmlizer
Waiting for job on chaiml-mistral32-deepse-16364-v3-mkmlizer to finish
chaiml-mistral32-deepse-16364-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-deepse-16364-v3-mkmlizer: Traceback (most recent call last):
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
chaiml-mistral32-deepse-16364-v3-mkmlizer:     response = conn.getresponse()
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
chaiml-mistral32-deepse-16364-v3-mkmlizer:     httplib_response = super().getresponse()
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
chaiml-mistral32-deepse-16364-v3-mkmlizer:     response.begin()
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
chaiml-mistral32-deepse-16364-v3-mkmlizer:     version, status, reason = self._read_status()
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
chaiml-mistral32-deepse-16364-v3-mkmlizer:     line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return self._sock.recv_into(b)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return self.read(nbytes, buffer)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return self._sslobj.read(len, buffer)
chaiml-mistral32-deepse-16364-v3-mkmlizer: TimeoutError: The read operation timed out
chaiml-mistral32-deepse-16364-v3-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-mistral32-deepse-16364-v3-mkmlizer: Traceback (most recent call last):
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
chaiml-mistral32-deepse-16364-v3-mkmlizer:     resp = conn.urlopen(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
chaiml-mistral32-deepse-16364-v3-mkmlizer:     retries = retries.increment(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
chaiml-mistral32-deepse-16364-v3-mkmlizer:     raise reraise(type(error), error, _stacktrace)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
chaiml-mistral32-deepse-16364-v3-mkmlizer:     raise value
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
chaiml-mistral32-deepse-16364-v3-mkmlizer:     response = self._make_request(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
chaiml-mistral32-deepse-16364-v3-mkmlizer:     self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
chaiml-mistral32-deepse-16364-v3-mkmlizer:     raise ReadTimeoutError(
chaiml-mistral32-deepse-16364-v3-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
chaiml-mistral32-deepse-16364-v3-mkmlizer: During handling of the above exception, another exception occurred:
chaiml-mistral32-deepse-16364-v3-mkmlizer: Traceback (most recent call last):
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1484, in _get_metadata_or_catch_error
chaiml-mistral32-deepse-16364-v3-mkmlizer:     metadata = get_hf_file_metadata(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return fn(*args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1401, in get_hf_file_metadata
chaiml-mistral32-deepse-16364-v3-mkmlizer:     r = _request_wrapper(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper
chaiml-mistral32-deepse-16364-v3-mkmlizer:     response = _request_wrapper(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 308, in _request_wrapper
chaiml-mistral32-deepse-16364-v3-mkmlizer:     response = get_session().request(method=method, url=url, **params)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
chaiml-mistral32-deepse-16364-v3-mkmlizer:     resp = self.send(prep, **send_kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
chaiml-mistral32-deepse-16364-v3-mkmlizer:     r = adapter.send(request, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 96, in send
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return super().send(request, *args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
chaiml-mistral32-deepse-16364-v3-mkmlizer:     raise ReadTimeout(e, request=request)
chaiml-mistral32-deepse-16364-v3-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 35cdfd30-2e17-4b7e-9747-2976a9223482)')
chaiml-mistral32-deepse-16364-v3-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-mistral32-deepse-16364-v3-mkmlizer: Traceback (most recent call last):
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
chaiml-mistral32-deepse-16364-v3-mkmlizer:     cli()
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return self.main(*args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-mistral32-deepse-16364-v3-mkmlizer:     rv = self.invoke(ctx)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return __callback(*args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
chaiml-mistral32-deepse-16364-v3-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
chaiml-mistral32-deepse-16364-v3-mkmlizer:     snapshot_download(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return fn(*args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
chaiml-mistral32-deepse-16364-v3-mkmlizer:     _inner_hf_hub_download(file)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return hf_hub_download(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return fn(*args, **kwargs)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
chaiml-mistral32-deepse-16364-v3-mkmlizer:     return _hf_hub_download_to_local_dir(
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1194, in _hf_hub_download_to_local_dir
chaiml-mistral32-deepse-16364-v3-mkmlizer:     _raise_on_head_call_error(head_call_error, force_download, local_files_only)
chaiml-mistral32-deepse-16364-v3-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1599, in _raise_on_head_call_error
chaiml-mistral32-deepse-16364-v3-mkmlizer:     raise LocalEntryNotFoundError(
chaiml-mistral32-deepse-16364-v3-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 chaiml-mistral32-deepse-16364-v3-mkmlizer completed after 47.88s with status: failed
Stopping job with name chaiml-mistral32-deepse-16364-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral32-deepse-16364-v3-mkmlizer
Waiting for job on chaiml-mistral32-deepse-16364-v3-mkmlizer to finish
chaiml-mistral32-deepse-16364-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ║                                                                     ║
chaiml-mistral32-deepse-16364-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-deepse-16364-v3-mkmlizer: Downloaded to shared memory in 56.266s
chaiml-mistral32-deepse-16364-v3-mkmlizer: Checking if ChaiML/mistral32_deepseek_cpos2_sfts11306_seq96_exp6 already exists in ChaiML
chaiml-mistral32-deepse-16364-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1qelu8vj, device:0
chaiml-mistral32-deepse-16364-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-deepse-16364-v3-mkmlizer: quantized model in 47.785s
chaiml-mistral32-deepse-16364-v3-mkmlizer: Processed model ChaiML/mistral32_deepseek_cpos2_sfts11306_seq96_exp6 in 104.052s
chaiml-mistral32-deepse-16364-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-deepse-16364-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-deepse-16364-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/config.json
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/special_tokens_map.json
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/tokenizer_config.json
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/tokenizer.json
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-deepse-16364-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-16364-v3/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-deepse-16364-v3-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:06<18:39,  3.10s/it]
Loading 0:   1%|▏         | 5/363 [00:06<06:01,  1.01s/it]
Loading 0:   2%|▏         | 7/363 [00:06<03:47,  1.56it/s]
Loading 0:   4%|▎         | 13/363 [00:06<01:28,  3.97it/s]
Loading 0:   4%|▍         | 16/363 [00:06<01:06,  5.24it/s]
Loading 0:   6%|▌         | 22/363 [00:07<00:43,  7.86it/s]
Loading 0:   7%|▋         | 25/363 [00:07<00:36,  9.16it/s]
Loading 0:   9%|▊         | 31/363 [00:07<00:24, 13.73it/s]
Loading 0:   9%|▉         | 34/363 [00:07<00:22, 14.56it/s]
Loading 0:  11%|█         | 40/363 [00:07<00:16, 19.79it/s]
Loading 0:  12%|█▏        | 44/363 [00:07<00:15, 20.72it/s]
Loading 0:  13%|█▎        | 49/363 [00:07<00:12, 24.20it/s]
Loading 0:  15%|█▍        | 53/363 [00:08<00:13, 23.83it/s]
Loading 0:  16%|█▌        | 58/363 [00:08<00:11, 26.72it/s]
Loading 0:  17%|█▋        | 62/363 [00:08<00:15, 19.23it/s]
Loading 0:  18%|█▊        | 67/363 [00:08<00:13, 22.57it/s]
Loading 0:  19%|█▉        | 70/363 [00:08<00:13, 21.66it/s]
Loading 0:  20%|██        | 74/363 [00:09<00:11, 24.77it/s]
Loading 0:  21%|██▏       | 78/363 [00:09<00:12, 22.70it/s]
Loading 0:  23%|██▎       | 85/363 [00:09<00:09, 29.36it/s]
Loading 0:  25%|██▍       | 89/363 [00:09<00:09, 27.65it/s]
Loading 0:  26%|██▌       | 93/363 [00:09<00:09, 29.67it/s]
Loading 0:  27%|██▋       | 97/363 [00:10<00:14, 18.53it/s]
Loading 0:  28%|██▊       | 103/363 [00:10<00:11, 23.43it/s]
Loading 0:  29%|██▉       | 107/363 [00:10<00:10, 23.60it/s]
Loading 0:  31%|███       | 112/363 [00:10<00:09, 26.01it/s]
Loading 0:  32%|███▏      | 115/363 [00:10<00:10, 23.64it/s]
Loading 0:  33%|███▎      | 121/363 [00:10<00:08, 28.27it/s]
Loading 0:  34%|███▍      | 125/363 [00:11<00:08, 26.72it/s]
Loading 0:  36%|███▌      | 130/363 [00:11<00:07, 29.18it/s]
Loading 0:  37%|███▋      | 134/363 [00:11<00:08, 26.92it/s]
Loading 0:  38%|███▊      | 139/363 [00:11<00:10, 22.00it/s]
Loading 0:  39%|███▉      | 142/363 [00:11<00:10, 21.13it/s]
Loading 0:  41%|████      | 148/363 [00:11<00:08, 26.21it/s]
Loading 0:  42%|████▏     | 151/363 [00:12<00:08, 24.15it/s]
Loading 0:  43%|████▎     | 157/363 [00:12<00:07, 28.46it/s]
Loading 0:  44%|████▍     | 161/363 [00:12<00:07, 27.04it/s]
Loading 0:  46%|████▌     | 166/363 [00:12<00:06, 29.44it/s]
Loading 0:  47%|████▋     | 170/363 [00:12<00:07, 27.45it/s]
Loading 0:  48%|████▊     | 175/363 [00:12<00:06, 29.14it/s]
Loading 0:  49%|████▉     | 178/363 [00:13<00:09, 19.13it/s]
Loading 0:  51%|█████     | 184/363 [00:13<00:07, 24.32it/s]
Loading 0:  51%|█████     | 185/363 [00:27<00:07, 24.32it/s]
Loading 0:  51%|█████     | 186/363 [00:27<03:23,  1.15s/it]
Loading 0:  53%|█████▎    | 191/363 [00:27<02:08,  1.33it/s]
Loading 0:  54%|█████▎    | 195/363 [00:28<01:33,  1.80it/s]
Loading 0:  56%|█████▌    | 202/363 [00:28<00:53,  3.02it/s]
Loading 0:  57%|█████▋    | 206/363 [00:28<00:40,  3.89it/s]
Loading 0:  58%|█████▊    | 211/363 [00:28<00:28,  5.40it/s]
Loading 0:  59%|█████▉    | 215/363 [00:29<00:23,  6.26it/s]
Loading 0:  61%|██████    | 220/363 [00:29<00:16,  8.53it/s]
Loading 0:  61%|██████▏   | 223/363 [00:29<00:14,  9.67it/s]
Loading 0:  63%|██████▎   | 229/363 [00:29<00:09, 13.70it/s]
Loading 0:  64%|██████▍   | 233/363 [00:29<00:08, 15.53it/s]
Loading 0:  66%|██████▌   | 238/363 [00:29<00:06, 19.06it/s]
Loading 0:  67%|██████▋   | 242/363 [00:30<00:06, 20.05it/s]
Loading 0:  68%|██████▊   | 247/363 [00:30<00:04, 23.30it/s]
Loading 0:  69%|██████▉   | 251/363 [00:30<00:04, 23.52it/s]
Loading 0:  71%|███████   | 256/363 [00:30<00:05, 20.35it/s]
Loading 0:  71%|███████▏  | 259/363 [00:30<00:05, 19.93it/s]
Loading 0:  73%|███████▎  | 265/363 [00:30<00:03, 25.05it/s]
Loading 0:  74%|███████▍  | 268/363 [00:31<00:04, 23.26it/s]
Loading 0:  75%|███████▌  | 274/363 [00:31<00:03, 28.10it/s]
Loading 0:  77%|███████▋  | 278/363 [00:31<00:03, 26.73it/s]
Loading 0:  78%|███████▊  | 283/363 [00:31<00:02, 28.94it/s]
Loading 0:  79%|███████▉  | 287/363 [00:31<00:02, 26.45it/s]
Loading 0:  80%|████████  | 292/363 [00:31<00:02, 28.68it/s]
Loading 0:  81%|████████▏ | 295/363 [00:32<00:03, 19.06it/s]
Loading 0:  83%|████████▎ | 301/363 [00:32<00:02, 24.02it/s]
Loading 0:  84%|████████▎ | 304/363 [00:32<00:02, 22.66it/s]
Loading 0:  85%|████████▌ | 310/363 [00:32<00:01, 27.12it/s]
Loading 0:  87%|████████▋ | 314/363 [00:32<00:01, 26.07it/s]
Loading 0:  88%|████████▊ | 319/363 [00:32<00:01, 28.65it/s]
Loading 0:  89%|████████▉ | 323/363 [00:33<00:01, 26.97it/s]
Loading 0:  90%|█████████ | 328/363 [00:33<00:01, 28.88it/s]
Loading 0:  91%|█████████▏| 332/363 [00:33<00:01, 20.14it/s]
Loading 0:  93%|█████████▎| 337/363 [00:33<00:01, 23.57it/s]
Loading 0:  94%|█████████▎| 340/363 [00:33<00:01, 22.15it/s]
Loading 0:  95%|█████████▌| 346/363 [00:34<00:00, 26.93it/s]
Loading 0:  96%|█████████▌| 349/363 [00:34<00:00, 24.37it/s]
Loading 0:  98%|█████████▊| 355/363 [00:34<00:00, 28.86it/s]
Loading 0:  99%|█████████▉| 359/363 [00:34<00:00, 27.20it/s]
                                                            
Job chaiml-mistral32-deepse-16364-v3-mkmlizer completed after 137.38s with status: succeeded
Stopping job with name chaiml-mistral32-deepse-16364-v3-mkmlizer
Pipeline stage MKMLizer completed in 186.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-deepse-16364-v3
Waiting for inference service chaiml-mistral32-deepse-16364-v3 to be ready
Inference service chaiml-mistral32-deepse-16364-v3 ready after 200.75061011314392s
Pipeline stage MKMLDeployer completed in 201.34s
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 3.0559751987457275s
Received healthy response to inference request in 2.331214666366577s
Received healthy response to inference request in 2.3817856311798096s
Received healthy response to inference request in 2.2888107299804688s
5 requests
1 failed requests
5th percentile: 2.2972915172576904
10th percentile: 2.305772304534912
20th percentile: 2.3227338790893555
30th percentile: 2.3413288593292236
40th percentile: 2.3615572452545166
50th percentile: 2.3817856311798096
60th percentile: 2.651461458206177
70th percentile: 2.9211372852325437
80th percentile: 6.486021327972415
90th percentile: 13.346113586425783
95th percentile: 16.77615971565246
99th percentile: 19.52019661903381
mean time: 6.052798414230347
%s, retrying in %s seconds...
Received healthy response to inference request in 2.415432929992676s
Received healthy response to inference request in 2.3729448318481445s
Received healthy response to inference request in 2.2171683311462402s
Received healthy response to inference request in 2.483065366744995s
Received healthy response to inference request in 2.263392686843872s
5 requests
0 failed requests
5th percentile: 2.226413202285767
10th percentile: 2.235658073425293
20th percentile: 2.2541478157043455
30th percentile: 2.2853031158447266
40th percentile: 2.3291239738464355
50th percentile: 2.3729448318481445
60th percentile: 2.389940071105957
70th percentile: 2.4069353103637696
80th percentile: 2.4289594173431395
90th percentile: 2.4560123920440673
95th percentile: 2.4695388793945314
99th percentile: 2.4803600692749024
mean time: 2.3504008293151855
Pipeline stage StressChecker completed in 45.49s
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 0.74s
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
chaiml-mistral32-deepse_16364_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 3479.33s
Shutdown handler de-registered
chaiml-mistral32-deepse_16364_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-deepse_16364_v3 status is now torndown due to DeploymentManager action