developer_uid: rirv938
submission_id: mistralai-mistral-smal_88026_v65
model_name: mistralai-mistral-smal_88026_v65
model_group: mistralai/Mistral-Small-
status: torndown
timestamp: 2026-01-14T17:00:11+00:00
num_battles: 13338
num_wins: 6264
celo_rating: 9999.0
family_friendly_score: 0.5394
family_friendly_standard_error: 0.007049079939963797
submission_type: basic
model_repo: mistralai/Mistral-Small-24B-Base-2501
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': 0.34225882188255274, 'latency_mean': 2.921698602437973, 'latency_p50': 2.9208922386169434, 'latency_p90': 3.13040177822113}, {'batch_size': 2, 'throughput': 0.535715615988344, 'latency_mean': 3.7298516380786895, 'latency_p50': 3.7069393396377563, 'latency_p90': 3.9983864307403563}, {'batch_size': 3, 'throughput': 0.6682232814625725, 'latency_mean': 4.479705243110657, 'latency_p50': 4.49663519859314, 'latency_p90': 4.751568007469177}, {'batch_size': 4, 'throughput': 0.762874318276535, 'latency_mean': 5.2364862954616544, 'latency_p50': 5.260565519332886, 'latency_p90': 5.83248245716095}, {'batch_size': 5, 'throughput': 0.8180230916447151, 'latency_mean': 6.093991879224777, 'latency_p50': 6.083722829818726, 'latency_p90': 6.846314239501953}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: mistralai-mistral-smal_88026_v65
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: mistralai/Mistral-Small-24B-Base-2501
model_size: 24B
ranking_group: single
throughput_3p7s: 0.53
us_pacific_date: 2026-01-10
win_ratio: 0.46963562753036436
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>', '###', 'You:', '<|im_end|>', '<|im_start|>', '\n'], '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 mistralai-mistral-smal-88026-v65-mkmlizer
Waiting for job on mistralai-mistral-smal-88026-v65-mkmlizer to finish
mistralai-mistral-smal-88026-v65-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
mistralai-mistral-smal-88026-v65-mkmlizer: bash: no job control in this shell
mistralai-mistral-smal-88026-v65-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.
mistralai-mistral-smal-88026-v65-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
mistralai-mistral-smal-88026-v65-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-smal-88026-v65-mkmlizer: ║                                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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mistralai-mistral-smal-88026-v65-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║                                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║                                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║                                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
mistralai-mistral-smal-88026-v65-mkmlizer: ║                                                                     ║
mistralai-mistral-smal-88026-v65-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-smal-88026-v65-mkmlizer: Downloaded to shared memory in 64.157s
mistralai-mistral-smal-88026-v65-mkmlizer: Checking if mistralai/Mistral-Small-24B-Base-2501 already exists in ChaiML
mistralai-mistral-smal-88026-v65-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpwazqa05t, device:0
mistralai-mistral-smal-88026-v65-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-smal-88026-v65-mkmlizer: 
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mistralai-mistral-smal-88026-v65-mkmlizer: The tokenizer you are loading from '/tmp/tmpwazqa05t' 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.
mistralai-mistral-smal-88026-v65-mkmlizer: quantized model in 315.475s
mistralai-mistral-smal-88026-v65-mkmlizer: Processed model mistralai/Mistral-Small-24B-Base-2501 in 379.692s
mistralai-mistral-smal-88026-v65-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/config.json
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/special_tokens_map.json
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/tokenizer_config.json
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/tokenizer.json
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/flywheel_model.1.safetensors
mistralai-mistral-smal-88026-v65-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v65/nvidia/flywheel_model.0.safetensors
Job mistralai-mistral-smal-88026-v65-mkmlizer completed after 460.36s with status: succeeded
Stopping job with name mistralai-mistral-smal-88026-v65-mkmlizer
Pipeline stage MKMLizer completed in 460.84s
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 mistralai-mistral-smal-88026-v65
Tearing down inference service mistralai-mistral-smal-88026-v65
%s, retrying in %s seconds...
Creating inference service mistralai-mistral-smal-88026-v65
Waiting for inference service mistralai-mistral-smal-88026-v65 to be ready
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
Tearing down inference service mistralai-mistral-smal-88026-v65
%s, retrying in %s seconds...
Creating inference service mistralai-mistral-smal-88026-v65
Waiting for inference service mistralai-mistral-smal-88026-v65 to be ready
Inference service mistralai-mistral-smal-88026-v65 ready after 151.02761459350586s
Pipeline stage MKMLDeployer completed in 172.66s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 0.9188258647918701s
Received healthy response to inference request in 1.5137746334075928s
Received healthy response to inference request in 1.6836869716644287s
Received healthy response to inference request in 2.443493604660034s
Received healthy response to inference request in 1.033787488937378s
5 requests
0 failed requests
5th percentile: 0.9418181896209716
10th percentile: 0.9648105144500733
20th percentile: 1.0107951641082764
30th percentile: 1.129784917831421
40th percentile: 1.3217797756195069
50th percentile: 1.5137746334075928
60th percentile: 1.581739568710327
70th percentile: 1.6497045040130616
80th percentile: 1.83564829826355
90th percentile: 2.139570951461792
95th percentile: 2.291532278060913
99th percentile: 2.41310133934021
mean time: 1.5187137126922607
Pipeline stage StressChecker completed in 8.75s
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 0.59s
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 0.60s
Shutdown handler de-registered
mistralai-mistral-smal_88026_v65 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 2988.29s
Shutdown handler de-registered
mistralai-mistral-smal_88026_v65 status is now torndown due to DeploymentManager action