developer_uid: rirv938
submission_id: chaiml-98p-2ff-chaiml-m_25525_v1
model_name: chaiml-98p-2ff-chaiml-m_25525_v1
model_group: ChaiML/98p_2ff_chaiml_mi
status: torndown
timestamp: 2026-02-24T05:41:44+00:00
num_battles: 10572
num_wins: 5856
celo_rating: 1335.14
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/98p_2ff_chaiml_mistral_24b_2048_90555_v2_cp1872_v2_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 80
reward_model: default
display_name: chaiml-98p-2ff-chaiml-m_25525_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/98p_2ff_chaiml_mistral_24b_2048_90555_v2_cp1872_v2_merged
model_size: 24B
ranking_group: single
us_pacific_date: 2026-02-17
win_ratio: 0.5539160045402951
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['<|im_end|>', '</s>', 'You:', '<|im_start|>', '###'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 80}
formatter: {'memory_template': '[SYSTEM_PROMPT]Respond as a high quality storyteller.[/SYSTEM_PROMPT][INST]', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '[/INST]{bot_name}:', 'truncate_by_message': False}
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chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: ║ belonging to: ║
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ ║
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
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chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
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chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ https://mk1.ai ║
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-mistral-24b-2048-90555-v5-mkmlizer: ║ Chai Research Corp. ║
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpjch0mwtk, device:0
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chaiml-mistral-24b-2048-90555-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpkdrcz8oe' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: quantized model in 283.538s
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: Processed model ChaiML/98p_2ff_chaiml_mistral_24b_2048_90555_v2_cp624_v2_merged in 376.568s
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia/config.json
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia/special_tokens_map.json
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia/tokenizer_config.json
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia/tokenizer.json
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chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpiban6o4r' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: quantized model in 323.809s
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: Processed model ChaiML/98p_2ff_chaiml_mistral_24b_2048_90555_v2_cp1872_v2_merged in 414.799s
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/config.json
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/special_tokens_map.json
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/tokenizer_config.json
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/tokenizer.json
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chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpjch0mwtk' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: quantized model in 340.501s
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: Processed model ChaiML/98p_2ff_chaiml_mistral_24b_2048_90555_v2_cp1248_v2_merged in 433.617s
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/config.json
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/tokenizer_config.json
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/special_tokens_map.json
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-90555-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmp1xp5kfia' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-90555-v5-mkmlizer: quantized model in 328.929s
chaiml-mistral-24b-2048-90555-v5-mkmlizer: Processed model ChaiML/mistral_24b_2048_120_max_top_10k_new_rm_927_instruct_v2_merged in 437.050s
chaiml-mistral-24b-2048-90555-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-90555-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-90555-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/chat_template.jinja
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/config.json
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/tokenizer.json
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/flywheel_model.1.safetensors
chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-96493-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer completed after 529.18s with status: succeeded
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/flywheel_model.1.safetensors
Stopping job with name chaiml-98p-2ff-chaiml-m-96493-v1-mkmlizer
Pipeline stage MKMLizer completed in 532.88s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.79s
run pipeline stage %s
Running pipeline stage MKMLDeployer
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/flywheel_model.1.safetensors
Creating inference service chaiml-98p-2ff-chaiml-m-96493-v1
Waiting for inference service chaiml-98p-2ff-chaiml-m-96493-v1 to be ready
chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-25525-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer completed after 561.62s with status: succeeded
Stopping job with name chaiml-98p-2ff-chaiml-m-25525-v1-mkmlizer
Pipeline stage MKMLizer completed in 563.69s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.69s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-98p-2ff-chaiml-m-25525-v1
Waiting for inference service chaiml-98p-2ff-chaiml-m-25525-v1 to be ready
chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-98p-2ff-chaiml-m-56461-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-90555-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-90555-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer completed after 597.85s with status: succeeded
Stopping job with name chaiml-98p-2ff-chaiml-m-56461-v1-mkmlizer
Pipeline stage MKMLizer completed in 599.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Job chaiml-mistral-24b-2048-90555-v5-mkmlizer completed after 595.87s with status: succeeded
Pipeline stage MKMLTemplater completed in 0.73s
Stopping job with name chaiml-mistral-24b-2048-90555-v5-mkmlizer
run pipeline stage %s
Pipeline stage MKMLizer completed in 599.32s
Running pipeline stage MKMLDeployer
run pipeline stage %s
Creating inference service chaiml-98p-2ff-chaiml-m-56461-v1
Running pipeline stage MKMLTemplater
Waiting for inference service chaiml-98p-2ff-chaiml-m-56461-v1 to be ready
Pipeline stage MKMLTemplater completed in 0.96s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-90555-v5
Waiting for inference service chaiml-mistral-24b-2048-90555-v5 to be ready
Inference service chaiml-98p-2ff-chaiml-m-96493-v1 ready after 161.98288822174072s
Pipeline stage MKMLDeployer completed in 165.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1007213592529297s
Received healthy response to inference request in 2.3571372032165527s
Received healthy response to inference request in 2.8701515197753906s
Received healthy response to inference request in 2.7353742122650146s
Received healthy response to inference request in 2.8399767875671387s
5 requests
0 failed requests
5th percentile: 2.432784605026245
10th percentile: 2.5084320068359376
20th percentile: 2.6597268104553224
30th percentile: 2.7562947273254395
40th percentile: 2.798135757446289
50th percentile: 2.8399767875671387
60th percentile: 2.8520466804504396
70th percentile: 2.86411657333374
80th percentile: 2.9162654876708984
90th percentile: 3.008493423461914
95th percentile: 3.054607391357422
Inference service chaiml-98p-2ff-chaiml-m-25525-v1 ready after 162.16976141929626s
99th percentile: 3.0914985656738283
Pipeline stage MKMLDeployer completed in 164.96s
mean time: 2.780672216415405
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Pipeline stage StressChecker completed in 26.18s
Running pipeline stage StressChecker
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Received healthy response to inference request in 3.5644471645355225s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 3.75s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Received healthy response to inference request in 3.243438720703125s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 3.24s
Shutdown handler de-registered
chaiml-98p-2ff-chaiml-m_96493_v1 status is now deployed due to DeploymentManager action
Received healthy response to inference request in 2.8829734325408936s
Received healthy response to inference request in 2.7105724811553955s
Received healthy response to inference request in 2.9503965377807617s
5 requests
0 failed requests
5th percentile: 2.745052671432495
10th percentile: 2.779532861709595
20th percentile: 2.848493242263794
30th percentile: 2.896458053588867
40th percentile: 2.9234272956848146
50th percentile: 2.9503965377807617
60th percentile: 3.067613410949707
70th percentile: 3.1848302841186524
80th percentile: 3.3076404094696046
90th percentile: 3.4360437870025633
95th percentile: 3.500245475769043
99th percentile: 3.5516068267822267
mean time: 3.0703656673431396
Pipeline stage StressChecker completed in 26.67s
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.42s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.38s
Shutdown handler de-registered
chaiml-98p-2ff-chaiml-m_25525_v1 status is now deployed due to DeploymentManager action
chaiml-98p-2ff-chaiml-m_25525_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-98p-2ff-chaiml-m_25525_v1
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
Checking if service chaiml-98p-2ff-chaiml-m-25525-v1 is running
Tearing down inference service chaiml-98p-2ff-chaiml-m-25525-v1
Service chaiml-98p-2ff-chaiml-m-25525-v1 has been torndown
Pipeline stage MKMLDeleter completed in 0.82s
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Cleaning model data from S3
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Cleaning model data from S3
Cleaning model data from model cache
clean up pipeline due to error=TeardownError("Got unexpected keyword argument 'request_checksum_calculation'")
Shutdown handler de-registered
chaiml-98p-2ff-chaiml-m_25525_v1 status is now torndown due to DeploymentManager action