developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_74727_v4
model_name: chaiml-mistral-24b-2048_74727_v4
model_group: ChaiML/mistral_24b_2048_
status: inactive
timestamp: 2026-02-05T23:17:28+00:00
num_battles: 10494
num_wins: 5848
celo_rating: 1344.9
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_gemini_opus_ds_v9_1686_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
display_name: chaiml-mistral-24b-2048_74727_v4
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_gemini_opus_ds_v9_1686_merged
model_size: 24B
ranking_group: single
us_pacific_date: 2026-02-05
win_ratio: 0.5572708214217649
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': ['</s>', '<|im_end|>', 'You:', '<|im_start|>', '###'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
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-mistral-24b-2048-25909-v4-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
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chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
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chaiml-mistral-24b-2048-83002-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ Chai Research Corp. ║
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chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral-24b-2048-25909-v4-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ https://mk1.ai ║
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chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
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chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-74727-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
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chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ Chai Research Corp. ║
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-mistral-24b-2048-83002-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-83002-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Chai Research Corp. ║
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chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-74727-v4-mkmlizer: Downloaded to shared memory in 93.270s
chaiml-mistral-24b-2048-74727-v4-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v9_1686_merged already exists in ChaiML
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Downloaded to shared memory in 92.902s
chaiml-mistral-24b-2048-74727-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1ccyn5hv, device:0
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v10_1686_merged already exists in ChaiML
chaiml-mistral-24b-2048-74727-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-43870-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqrkz_88m, device:0
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-25909-v4-mkmlizer: Downloaded to shared memory in 100.791s
chaiml-mistral-24b-2048-83002-v1-mkmlizer: Downloaded to shared memory in 95.087s
chaiml-mistral-24b-2048-25909-v4-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v9_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-83002-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v10_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-25909-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmph3j0_6nt, device:0
chaiml-mistral-24b-2048-83002-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1qh2lw32, device:0
chaiml-mistral-24b-2048-25909-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-83002-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Downloaded to shared memory in 95.657s
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v11_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-67574-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpi6bwdu7c, device:0
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Stopping job with name chaiml-mistral-24b-2048-43870-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral-24b-2048-43870-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-43870-v1-mkmlizer to finish
chaiml-mistral-24b-2048-43870-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-43870-v1-mkmlizer: bash: no job control in this shell
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chaiml-mistral-24b-2048-74727-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmp1ccyn5hv' 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-2048-74727-v4-mkmlizer: quantized model in 281.322s
chaiml-mistral-24b-2048-74727-v4-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v9_1686_merged in 374.593s
chaiml-mistral-24b-2048-74727-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-74727-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-74727-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/config.json
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/tokenizer.json
chaiml-mistral-24b-2048-43870-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-43870-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-43870-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-25909-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmph3j0_6nt' 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-2048-25909-v4-mkmlizer: quantized model in 321.360s
Stopping job with name chaiml-mistral-24b-2048-67574-v1-mkmlizer
chaiml-mistral-24b-2048-25909-v4-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v9_843_merged in 422.152s
%s, retrying in %s seconds...
chaiml-mistral-24b-2048-25909-v4-mkmlizer: creating bucket guanaco-mkml-models
Starting job with name chaiml-mistral-24b-2048-67574-v1-mkmlizer
chaiml-mistral-24b-2048-25909-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
Waiting for job on chaiml-mistral-24b-2048-67574-v1-mkmlizer to finish
chaiml-mistral-24b-2048-25909-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/config.json
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/tokenizer.json
chaiml-mistral-24b-2048-83002-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmp1qh2lw32' 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-2048-83002-v1-mkmlizer: quantized model in 328.887s
chaiml-mistral-24b-2048-74727-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-74727-v4/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-83002-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v10_843_merged in 423.974s
Job chaiml-mistral-24b-2048-74727-v4-mkmlizer completed after 474.69s with status: succeeded
chaiml-mistral-24b-2048-83002-v1-mkmlizer: creating bucket guanaco-mkml-models
Stopping job with name chaiml-mistral-24b-2048-74727-v4-mkmlizer
chaiml-mistral-24b-2048-83002-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-83002-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia
Pipeline stage MKMLizer completed in 477.36s
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/config.json
run pipeline stage %s
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/special_tokens_map.json
Running pipeline stage MKMLTemplater
chaiml-mistral-24b-2048-67574-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-67574-v1-mkmlizer: bash: no job control in this shell
Pipeline stage MKMLTemplater completed in 0.91s
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-67574-v1-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
run pipeline stage %s
chaiml-mistral-24b-2048-67574-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
Running pipeline stage MKMLDeployer
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
Creating inference service chaiml-mistral-24b-2048-74727-v4
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
Waiting for inference service chaiml-mistral-24b-2048-74727-v4 to be ready
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
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chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-67574-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Downloaded to shared memory in 98.137s
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v10_1686_merged already exists in ChaiML
chaiml-mistral-24b-2048-43870-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpyjz2qybz, device:0
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-83002-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-83002-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral-24b-2048-25909-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-25909-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-83002-v1-mkmlizer completed after 550.08s with status: succeeded
Job chaiml-mistral-24b-2048-25909-v4-mkmlizer completed after 560.06s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-83002-v1-mkmlizer
Stopping job with name chaiml-mistral-24b-2048-25909-v4-mkmlizer
Pipeline stage MKMLizer completed in 553.21s
Pipeline stage MKMLizer completed in 562.71s
run pipeline stage %s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.90s
Pipeline stage MKMLTemplater completed in 0.96s
run pipeline stage %s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-83002-v1
Creating inference service chaiml-mistral-24b-2048-25909-v4
Waiting for inference service chaiml-mistral-24b-2048-83002-v1 to be ready
Waiting for inference service chaiml-mistral-24b-2048-25909-v4 to be ready
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Downloaded to shared memory in 95.037s
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_opus_ds_v11_843_merged already exists in ChaiML
chaiml-mistral-24b-2048-67574-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3to86jkn, device:0
chaiml-mistral-24b-2048-67574-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
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chaiml-mistral-24b-2048-43870-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpyjz2qybz' 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-2048-43870-v1-mkmlizer: quantized model in 281.571s
Inference service chaiml-mistral-24b-2048-74727-v4 ready after 315.639671087265s
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_opus_ds_v10_1686_merged in 379.709s
Pipeline stage MKMLDeployer completed in 319.35s
chaiml-mistral-24b-2048-43870-v1-mkmlizer: creating bucket guanaco-mkml-models
run pipeline stage %s
chaiml-mistral-24b-2048-43870-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
Running pipeline stage StressChecker
chaiml-mistral-24b-2048-43870-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia
chaiml-mistral-24b-2048-43870-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia/config.json
chaiml-mistral-24b-2048-43870-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-43870-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-43870-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia/tokenizer.json
Received healthy response to inference request in 3.9131438732147217s
Received healthy response to inference request in 3.807753324508667s
Received healthy response to inference request in 3.2493607997894287s
Received healthy response to inference request in 3.4303524494171143s
Received healthy response to inference request in 4.644369840621948s
chaiml-mistral-24b-2048-43870-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-43870-v1/nvidia/flywheel_model.1.safetensors
5 requests
0 failed requests
5th percentile: 3.285559129714966
10th percentile: 3.321757459640503
20th percentile: 3.394154119491577
30th percentile: 3.505832624435425
40th percentile: 3.656792974472046
50th percentile: 3.807753324508667
60th percentile: 3.849909543991089
70th percentile: 3.8920657634735107
80th percentile: 4.059389066696167
90th percentile: 4.351879453659057
95th percentile: 4.498124647140503
99th percentile: 4.615120801925659
mean time: 3.808996057510376
Pipeline stage StressChecker completed in 36.92s
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 3.50s
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 4.31s
Shutdown handler de-registered
chaiml-mistral-24b-2048_74727_v4 status is now deployed due to DeploymentManager action
chaiml-mistral-24b-2048_74727_v4 status is now inactive due to auto deactivation removed underperforming models