chaiml-mistral-24b-2048_32760

developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_32760_v3
model_name: chaiml-mistral-24b-2048_32760_v3
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-14T18:04:00+00:00
num_battles: 11303
num_wins: 5903
celo_rating: 1311.85
family_friendly_score: 0.494
family_friendly_standard_error: 0.007070558676653493
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3383409983774938, 'latency_mean': 2.9555192506313324, 'latency_p50': 2.941098213195801, 'latency_p90': 3.173321747779846}, {'batch_size': 2, 'throughput': 0.5255546033461171, 'latency_mean': 3.805423434972763, 'latency_p50': 3.8277010917663574, 'latency_p90': 4.070900082588196}, {'batch_size': 3, 'throughput': 0.649111654761099, 'latency_mean': 4.613781411647796, 'latency_p50': 4.595413327217102, 'latency_p90': 4.902273797988892}, {'batch_size': 4, 'throughput': 0.7385152039649948, 'latency_mean': 5.395825768709183, 'latency_p50': 5.390584707260132, 'latency_p90': 5.984543895721435}, {'batch_size': 5, 'throughput': 0.7936097640787249, 'latency_mean': 6.272718549966812, 'latency_p50': 6.285903573036194, 'latency_p90': 7.0251974105834964}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_32760_v3
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.51
us_pacific_date: 2026-01-09
win_ratio: 0.5222507298947182
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': ['\n', '###', 'You:', '<|im_start|>', '<|im_end|>', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mistral-24b-2048-32760-v3-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-32760-v3-mkmlizer to finish
chaiml-mistral-24b-2048-32760-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-32760-v3-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-32760-v3-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-2048-32760-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
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chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Downloaded to shared memory in 74.639s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Checking if ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged already exists in ChaiML
chaiml-mistral-24b-2048-32760-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp1jbd5o1i, device:0
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-32760-v3-mkmlizer: 
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chaiml-mistral-24b-2048-32760-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmp1jbd5o1i' 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-2048-32760-v3-mkmlizer: quantized model in 282.660s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Processed model ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged in 357.299s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-32760-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/config.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/tokenizer.json
Stopping job with name chaiml-mistral-24b-2048-32760-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral-24b-2048-32760-v3-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-32760-v3-mkmlizer to finish
chaiml-mistral-24b-2048-32760-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-32760-v3-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-32760-v3-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-2048-32760-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Downloaded to shared memory in 65.647s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Checking if ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged already exists in ChaiML
chaiml-mistral-24b-2048-32760-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp2c38mx3u, device:0
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-32760-v3-mkmlizer: 
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chaiml-mistral-24b-2048-32760-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmp2c38mx3u' 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-2048-32760-v3-mkmlizer: quantized model in 282.145s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Processed model ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged in 347.792s
chaiml-mistral-24b-2048-32760-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-32760-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-32760-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/config.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-32760-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-32760-v3-mkmlizer completed after 439.2s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-32760-v3-mkmlizer
Pipeline stage MKMLizer completed in 930.27s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-32760-v3
Waiting for inference service chaiml-mistral-24b-2048-32760-v3 to be ready
Inference service chaiml-mistral-24b-2048-32760-v3 ready after 160.6757402420044s
Pipeline stage MKMLDeployer completed in 161.45s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9959232807159424s
Received healthy response to inference request in 2.895994186401367s
Received healthy response to inference request in 2.524096727371216s
Received healthy response to inference request in 1.7083652019500732s
Received healthy response to inference request in 2.0627708435058594s
5 requests
0 failed requests
5th percentile: 1.7658768177032471
10th percentile: 1.823388433456421
20th percentile: 1.9384116649627685
30th percentile: 2.009292793273926
40th percentile: 2.0360318183898927
50th percentile: 2.0627708435058594
60th percentile: 2.247301197052002
70th percentile: 2.4318315505981443
80th percentile: 2.5984762191772464
90th percentile: 2.7472352027893066
95th percentile: 2.8216146945953366
99th percentile: 2.881118288040161
mean time: 2.237430047988892
Pipeline stage StressChecker completed in 12.65s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
Shutdown handler de-registered
chaiml-mistral-24b-2048_32760_v3 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral-24b-2048-32760-v3-profiler
Waiting for inference service chaiml-mistral-24b-2048-32760-v3-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2484.42s
Shutdown handler de-registered
chaiml-mistral-24b-2048_32760_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral-24b-2048_32760_v3 status is now torndown due to DeploymentManager action