developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_69154_v4
model_name: chaiml-mistral-24b-2048_69154_v4
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-14T16:59:30+00:00
num_battles: 10374
num_wins: 5152
celo_rating: 1293.19
family_friendly_score: 0.5202
family_friendly_standard_error: 0.007065294898303962
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_opus_v1_624_merged
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': 0.464827890791436, 'latency_mean': 2.1512517774105073, 'latency_p50': 2.1572725772857666, 'latency_p90': 2.3608342885971068}, {'batch_size': 2, 'throughput': 0.679953094386002, 'latency_mean': 2.931909600496292, 'latency_p50': 2.944131851196289, 'latency_p90': 3.1847603797912596}, {'batch_size': 3, 'throughput': 0.8260590465746183, 'latency_mean': 3.6239653646945955, 'latency_p50': 3.6359819173812866, 'latency_p90': 3.921728777885437}, {'batch_size': 4, 'throughput': 0.9227982450727568, 'latency_mean': 4.328699209690094, 'latency_p50': 4.305718183517456, 'latency_p90': 4.681777286529541}, {'batch_size': 5, 'throughput': 0.9838993134472176, 'latency_mean': 5.05815841794014, 'latency_p50': 5.098098397254944, 'latency_p90': 5.781874442100524}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_69154_v4
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_opus_v1_624_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2026-01-09
win_ratio: 0.4966261808367072
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': ['###', 'You:', '\n', '</s>', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
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-2048-69154-v4-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-69154-v4-mkmlizer to finish
chaiml-mistral-24b-2048-69154-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-69154-v4-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-69154-v4-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-2048-69154-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-69154-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-69154-v4-mkmlizer: Downloaded to shared memory in 67.964s
chaiml-mistral-24b-2048-69154-v4-mkmlizer: Checking if ChaiML/mistral_24b_2048_opus_v1_624_merged already exists in ChaiML
chaiml-mistral-24b-2048-69154-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp_0aopay2, device:0
chaiml-mistral-24b-2048-69154-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-69154-v4-mkmlizer: 
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chaiml-mistral-24b-2048-69154-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmp_0aopay2' 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-2048-69154-v4-mkmlizer: quantized model in 281.890s
chaiml-mistral-24b-2048-69154-v4-mkmlizer: Processed model ChaiML/mistral_24b_2048_opus_v1_624_merged in 349.855s
chaiml-mistral-24b-2048-69154-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-69154-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-69154-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-69154-v4/nvidia
chaiml-mistral-24b-2048-69154-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-69154-v4/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-69154-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-69154-v4/nvidia/tokenizer.json
chaiml-mistral-24b-2048-69154-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-69154-v4/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-69154-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-69154-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-69154-v4-mkmlizer completed after 570.72s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-69154-v4-mkmlizer
Pipeline stage MKMLizer completed in 571.23s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-69154-v4
Waiting for inference service chaiml-mistral-24b-2048-69154-v4 to be ready
Inference service chaiml-mistral-24b-2048-69154-v4 ready after 161.02780938148499s
Pipeline stage MKMLDeployer completed in 161.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.816086769104004s
Received healthy response to inference request in 1.6906168460845947s
Received healthy response to inference request in 2.1187233924865723s
Received healthy response to inference request in 1.899690866470337s
Received healthy response to inference request in 1.417405128479004s
5 requests
0 failed requests
5th percentile: 1.472047472000122
10th percentile: 1.5266898155212403
20th percentile: 1.6359745025634767
30th percentile: 1.7157108306884765
40th percentile: 1.7658987998962403
50th percentile: 1.816086769104004
60th percentile: 1.8495284080505372
70th percentile: 1.8829700469970703
80th percentile: 1.943497371673584
90th percentile: 2.031110382080078
95th percentile: 2.074916887283325
99th percentile: 2.1099620914459227
mean time: 1.7885046005249023
Pipeline stage StressChecker completed in 11.56s
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 0.65s
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 0.63s
Shutdown handler de-registered
chaiml-mistral-24b-2048_69154_v4 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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2180.89s
Shutdown handler de-registered
chaiml-mistral-24b-2048_69154_v4 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral-24b-2048_69154_v4 status is now torndown due to DeploymentManager action