chaiml-1102-quang-ir-mi_94959

developer_uid: chai_backend_admin
submission_id: chaiml-1102-quang-ir-mi_94959_v1
model_name: training123
model_group: ChaiML/1102-quang-ir-mix
status: inactive
timestamp: 2025-11-03T07:15:46+00:00
num_battles: 6732
num_wins: 3437
celo_rating: 1295.47
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.38338849237114553, 'latency_mean': 2.608198014497757, 'latency_p50': 2.5847315788269043, 'latency_p90': 2.8459562063217163}, {'batch_size': 2, 'throughput': 0.5765635607926717, 'latency_mean': 3.4622438132762907, 'latency_p50': 3.4678101539611816, 'latency_p90': 3.811042332649231}, {'batch_size': 3, 'throughput': 0.7126617161727149, 'latency_mean': 4.186648799180984, 'latency_p50': 4.190476775169373, 'latency_p90': 4.602669978141784}, {'batch_size': 4, 'throughput': 0.8136012198905047, 'latency_mean': 4.8870140278339385, 'latency_p50': 4.886905789375305, 'latency_p90': 5.537804913520813}, {'batch_size': 5, 'throughput': 0.8795038312270516, 'latency_mean': 5.662118339538575, 'latency_p50': 5.650185704231262, 'latency_p90': 6.378303432464599}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128
model_size: 24B
ranking_group: single
throughput_3p7s: 0.63
us_pacific_date: 2025-11-02
win_ratio: 0.5105466428995841
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'You:', '####', '\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1102-quang-ir-mi-94959-v1-mkmlizer
Waiting for job on chaiml-1102-quang-ir-mi-94959-v1-mkmlizer to finish
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Traceback (most recent call last):
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     response.raise_for_status()
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     raise HTTPError(http_error_msg, response=self)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: requests.exceptions.HTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/models/ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128/paths-info/main
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Traceback (most recent call last):
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     cli()
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     return self.main(*args, **kwargs)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     rv = self.invoke(ctx)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     return __callback(*args, **kwargs)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     if repo_has_model_safetensors(repo_id, revision, token):
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 109, in repo_has_model_safetensors
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     files = [f.path for f in get_paths_info(repo_id, revision=revision, paths=["/"], token=token)]
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3402, in get_paths_info
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     hf_raise_for_status(response)
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer:     raise _format(HfHubHTTPError, str(e), response) from e
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: huggingface_hub.errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/models/ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128/paths-info/main
Job chaiml-1102-quang-ir-mi-94959-v1-mkmlizer completed after 74.07s with status: failed
Stopping job with name chaiml-1102-quang-ir-mi-94959-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-1102-quang-ir-mi-94959-v1-mkmlizer
Waiting for job on chaiml-1102-quang-ir-mi-94959-v1-mkmlizer to finish
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ║                                                                     ║
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Downloaded to shared memory in 50.386s
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Checking if ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128 already exists in ChaiML
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnk0djivv, device:0
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: quantized model in 42.002s
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Processed model ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_2e60052e128 in 92.389s
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/special_tokens_map.json
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/config.json
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/tokenizer_config.json
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/tokenizer.json
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/flywheel_model.0.safetensors
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-94959-v1/nvidia/flywheel_model.1.safetensors
chaiml-1102-quang-ir-mi-94959-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 22.51it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:08, 41.07it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:08, 39.51it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:11, 30.63it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 42.82it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 29.58it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:11, 27.21it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.47it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:09, 31.24it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:08, 34.75it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.67it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 33.50it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:09, 29.92it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 27.09it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:09, 30.48it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:08, 31.33it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:09, 27.65it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:09, 27.11it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 34.46it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:08, 32.21it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 27.77it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 30.58it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:07, 31.33it/s]
Loading 0:  33%|███▎      | 120/363 [00:03<00:07, 33.08it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:09, 26.55it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:07, 30.81it/s]
Loading 0:  37%|███▋      | 133/363 [00:04<00:07, 29.78it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:06, 33.49it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 31.84it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 38.58it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:07, 26.20it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 24.78it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 31.91it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 30.92it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 34.00it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 32.16it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 32.91it/s]
Loading 0:  52%|█████▏    | 187/363 [00:06<00:05, 30.04it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.26it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:06, 26.40it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:13,  1.21it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:54,  1.39it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:13,  2.11it/s]
Loading 0:  58%|█████▊    | 211/363 [00:19<00:57,  2.66it/s]
Loading 0:  59%|█████▉    | 215/363 [00:19<00:39,  3.72it/s]
Loading 0:  60%|██████    | 219/363 [00:20<00:29,  4.94it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:20,  6.87it/s]
Loading 0:  63%|██████▎   | 229/363 [00:20<00:14,  9.47it/s]
Loading 0:  64%|██████▍   | 232/363 [00:20<00:11, 11.10it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:08, 15.01it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:07, 17.29it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:05, 21.86it/s]
Loading 0:  69%|██████▉   | 250/363 [00:20<00:04, 23.22it/s]
Loading 0:  70%|███████   | 255/363 [00:21<00:03, 27.56it/s]
Loading 0:  71%|███████▏  | 259/363 [00:21<00:03, 27.72it/s]
Loading 0:  73%|███████▎  | 266/363 [00:21<00:02, 34.81it/s]
Loading 0:  75%|███████▍  | 271/363 [00:21<00:03, 25.39it/s]
Loading 0:  76%|███████▌  | 275/363 [00:21<00:03, 24.02it/s]
Loading 0:  78%|███████▊  | 282/363 [00:21<00:02, 31.15it/s]
Loading 0:  79%|███████▉  | 286/363 [00:22<00:02, 30.36it/s]
Loading 0:  80%|████████  | 291/363 [00:22<00:02, 33.59it/s]
Loading 0:  81%|████████▏ | 295/363 [00:22<00:02, 31.69it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:01, 32.63it/s]
Loading 0:  84%|████████▎ | 304/363 [00:22<00:02, 29.29it/s]
Loading 0:  85%|████████▍ | 308/363 [00:22<00:01, 28.65it/s]
Loading 0:  86%|████████▌ | 312/363 [00:23<00:01, 26.30it/s]
Loading 0:  88%|████████▊ | 318/363 [00:23<00:01, 32.04it/s]
Loading 0:  89%|████████▊ | 322/363 [00:23<00:01, 30.85it/s]
Loading 0:  90%|█████████ | 327/363 [00:23<00:01, 34.26it/s]
Loading 0:  91%|█████████ | 331/363 [00:23<00:01, 31.25it/s]
Loading 0:  92%|█████████▏| 335/363 [00:23<00:00, 32.39it/s]
Loading 0:  93%|█████████▎| 339/363 [00:23<00:00, 33.30it/s]
Loading 0:  94%|█████████▍| 343/363 [00:24<00:00, 20.40it/s]
Loading 0:  96%|█████████▌| 348/363 [00:24<00:00, 22.03it/s]
Loading 0:  98%|█████████▊| 355/363 [00:24<00:00, 29.54it/s]
Loading 0:  99%|█████████▉| 359/363 [00:24<00:00, 29.29it/s]
                                                            
Job chaiml-1102-quang-ir-mi-94959-v1-mkmlizer completed after 155.89s with status: succeeded
Stopping job with name chaiml-1102-quang-ir-mi-94959-v1-mkmlizer
Pipeline stage MKMLizer completed in 231.81s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1102-quang-ir-mi-94959-v1
Waiting for inference service chaiml-1102-quang-ir-mi-94959-v1 to be ready
Inference service chaiml-1102-quang-ir-mi-94959-v1 ready after 130.49091696739197s
Pipeline stage MKMLDeployer completed in 131.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.450099229812622s
Received healthy response to inference request in 2.4706127643585205s
Received healthy response to inference request in 2.1231961250305176s
Received healthy response to inference request in 2.176542043685913s
Received healthy response to inference request in 2.2740767002105713s
5 requests
0 failed requests
5th percentile: 2.133865308761597
10th percentile: 2.1445344924926757
20th percentile: 2.165872859954834
30th percentile: 2.1960489749908447
40th percentile: 2.235062837600708
50th percentile: 2.2740767002105713
60th percentile: 2.344485712051392
70th percentile: 2.414894723892212
80th percentile: 2.4542019367218018
90th percentile: 2.462407350540161
95th percentile: 2.466510057449341
99th percentile: 2.4697922229766847
mean time: 2.298905372619629
Pipeline stage StressChecker completed in 13.15s
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 1.70s
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-1102-quang-ir-mi_94959_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5559.47s
Shutdown handler de-registered