developer_uid: rirv938
submission_id: mistralai-mistral-smal_88026_v67
model_name: mistralai-mistral-smal_88026_v67
model_group: mistralai/Mistral-Small-
status: torndown
timestamp: 2026-01-14T17:00:13+00:00
num_battles: 13137
num_wins: 5964
celo_rating: 9999.0
family_friendly_score: 0.5704
family_friendly_standard_error: 0.007000626257700092
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: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.46158666084163924, 'latency_mean': 2.166373784542084, 'latency_p50': 2.1613689661026, 'latency_p90': 2.363054132461548}, {'batch_size': 2, 'throughput': 0.6714943058260129, 'latency_mean': 2.9777556121349336, 'latency_p50': 2.97761607170105, 'latency_p90': 3.2143980264663696}, {'batch_size': 3, 'throughput': 0.8048085695623146, 'latency_mean': 3.7234465742111205, 'latency_p50': 3.7287224531173706, 'latency_p90': 4.2322859287261965}, {'batch_size': 4, 'throughput': 0.9063343674026765, 'latency_mean': 4.400496462583542, 'latency_p50': 4.3996922969818115, 'latency_p90': 5.078520178794861}, {'batch_size': 5, 'throughput': 0.963722705775048, 'latency_mean': 5.168231197595596, 'latency_p50': 5.148970723152161, 'latency_p90': 5.792716908454895}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: mistralai-mistral-smal_88026_v67
is_internal_developer: True
language_model: mistralai/Mistral-Small-24B-Base-2501
model_size: 24B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2026-01-10
win_ratio: 0.45398492806576846
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|>', '\n', '</s>', 'You:', '###', '<|im_start|>'], '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 mistralai-mistral-smal-88026-v67-mkmlizer
Waiting for job on mistralai-mistral-smal-88026-v67-mkmlizer to finish
mistralai-mistral-smal-88026-v67-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-v67-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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mistralai-mistral-smal-88026-v67-mkmlizer: ║ ║
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mistralai-mistral-smal-88026-v67-mkmlizer: ║ ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Version: 0.30.6+torch280 ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ belonging to: ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
mistralai-mistral-smal-88026-v67-mkmlizer: ║ ║
mistralai-mistral-smal-88026-v67-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-smal-88026-v67-mkmlizer: Downloaded to shared memory in 54.462s
mistralai-mistral-smal-88026-v67-mkmlizer: Checking if mistralai/Mistral-Small-24B-Base-2501 already exists in ChaiML
mistralai-mistral-smal-88026-v67-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqc05tkf8, device:0
mistralai-mistral-smal-88026-v67-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
Failed to get response for submission chaiml-llama31-mer-v2-_44570_v66: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-7b07-69d4-linear-w01_v7/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v7/predict\'\\"}, input_type=dict]\\n For further information visit https://errors.pydantic.dev/2.12/v/missing"}')
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mistralai-mistral-smal-88026-v67-mkmlizer: The tokenizer you are loading from '/tmp/tmpqc05tkf8' 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-v67-mkmlizer: quantized model in 276.357s
mistralai-mistral-smal-88026-v67-mkmlizer: Processed model mistralai/Mistral-Small-24B-Base-2501 in 330.845s
mistralai-mistral-smal-88026-v67-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-smal-88026-v67-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-smal-88026-v67-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/config.json
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/special_tokens_map.json
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/tokenizer_config.json
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/tokenizer.json
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/flywheel_model.1.safetensors
mistralai-mistral-smal-88026-v67-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-88026-v67/nvidia/flywheel_model.0.safetensors
Job mistralai-mistral-smal-88026-v67-mkmlizer completed after 451.86s with status: succeeded
Stopping job with name mistralai-mistral-smal-88026-v67-mkmlizer
Pipeline stage MKMLizer completed in 452.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-smal-88026-v67
Waiting for inference service mistralai-mistral-smal-88026-v67 to be ready
Inference service mistralai-mistral-smal-88026-v67 ready after 171.21357440948486s
Pipeline stage MKMLDeployer completed in 171.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7191545963287354s
Received healthy response to inference request in 1.452516794204712s
Received healthy response to inference request in 1.5487060546875s
Received healthy response to inference request in 1.9396588802337646s
Received healthy response to inference request in 1.991835355758667s
5 requests
0 failed requests
5th percentile: 1.4717546463012696
10th percentile: 1.490992498397827
20th percentile: 1.5294682025909423
30th percentile: 1.582795763015747
40th percentile: 1.6509751796722412
50th percentile: 1.7191545963287354
60th percentile: 1.807356309890747
70th percentile: 1.8955580234527587
80th percentile: 1.950094175338745
90th percentile: 1.9709647655487061
95th percentile: 1.9814000606536866
99th percentile: 1.989748296737671
mean time: 1.7303743362426758
Pipeline stage StressChecker completed in 10.32s
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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 0.62s
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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 0.62s
Shutdown handler de-registered
mistralai-mistral-smal_88026_v67 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 2805.96s
Shutdown handler de-registered
mistralai-mistral-smal_88026_v67 status is now torndown due to DeploymentManager action