developer_uid: rirv938
submission_id: chaiml-95p-5ff-chaiml-m_75396_v4
model_name: chaiml-95p-5ff-chaiml-m_75396_v4
model_group: ChaiML/95p_5ff_chaiml_mi
status: torndown
timestamp: 2026-01-29T16:33:31+00:00
num_battles: 12927
num_wins: 6655
celo_rating: 1313.4
family_friendly_score: 0.5178
family_friendly_standard_error: 0.007066585597019256
submission_type: basic
model_repo: ChaiML/95p_5ff_chaiml_mistral_24b_2048_77769_v5_cp624_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': 0.3520978596166303, 'latency_mean': 2.8400525736808775, 'latency_p50': 2.8465336561203003, 'latency_p90': 3.014775609970093}, {'batch_size': 2, 'throughput': 0.5570098470344026, 'latency_mean': 3.5883019614219664, 'latency_p50': 3.592587471008301, 'latency_p90': 3.807071161270142}, {'batch_size': 3, 'throughput': 0.701473490632452, 'latency_mean': 4.261853711605072, 'latency_p50': 4.263774275779724, 'latency_p90': 4.513416028022766}, {'batch_size': 4, 'throughput': 0.792710273291572, 'latency_mean': 5.022630194425583, 'latency_p50': 5.040426254272461, 'latency_p90': 5.424884295463562}, {'batch_size': 5, 'throughput': 0.8622803542539864, 'latency_mean': 5.769002603292465, 'latency_p50': 5.8070454597473145, 'latency_p90': 6.337143993377685}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-95p-5ff-chaiml-m_75396_v4
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/95p_5ff_chaiml_mistral_24b_2048_77769_v5_cp624_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.59
us_pacific_date: 2026-01-19
win_ratio: 0.514813955287383
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|>', '</s>', '###', '<|im_end|>'], '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} <style="funny">:', '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-95p-5ff-chaiml-m-75396-v4-mkmlizer
Waiting for job on chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer to finish
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: bash: no job control in this shell
chaiml-95p-5ff-chaiml-m-75396-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-95p-5ff-chaiml-m-75396-v4-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ belonging to: ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ║ ║
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: Downloaded to shared memory in 91.159s
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: Checking if ChaiML/95p_5ff_chaiml_mistral_24b_2048_77769_v5_cp624_merged already exists in ChaiML
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp6xir37e5, device:0
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmp6xir37e5' 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-95p-5ff-chaiml-m-75396-v4-mkmlizer: quantized model in 282.044s
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: Processed model ChaiML/95p_5ff_chaiml_mistral_24b_2048_77769_v5_cp624_merged in 373.204s
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/config.json
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/special_tokens_map.json
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/tokenizer_config.json
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/tokenizer.json
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/flywheel_model.1.safetensors
chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-95p-5ff-chaiml-m-75396-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer completed after 463.89s with status: succeeded
Stopping job with name chaiml-95p-5ff-chaiml-m-75396-v4-mkmlizer
Pipeline stage MKMLizer completed in 464.98s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.24s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-95p-5ff-chaiml-m-75396-v4
Waiting for inference service chaiml-95p-5ff-chaiml-m-75396-v4 to be ready
Inference service chaiml-95p-5ff-chaiml-m-75396-v4 ready after 152.252051115036s
Pipeline stage MKMLDeployer completed in 153.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1899285316467285s
Received healthy response to inference request in 2.973287582397461s
Received healthy response to inference request in 2.9629342555999756s
Received healthy response to inference request in 3.0770504474639893s
Received healthy response to inference request in 3.143777370452881s
5 requests
0 failed requests
5th percentile: 2.9650049209594727
10th percentile: 2.9670755863189697
20th percentile: 2.971216917037964
30th percentile: 2.9940401554107665
40th percentile: 3.035545301437378
50th percentile: 3.0770504474639893
60th percentile: 3.1037412166595457
70th percentile: 3.1304319858551026
80th percentile: 3.1530076026916505
90th percentile: 3.1714680671691893
95th percentile: 3.180698299407959
99th percentile: 3.1880824851989744
mean time: 3.069395637512207
Pipeline stage StressChecker completed in 17.83s
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 0.99s
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 1.11s
Shutdown handler de-registered
chaiml-95p-5ff-chaiml-m_75396_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 2767.93s
Shutdown handler de-registered
chaiml-95p-5ff-chaiml-m_75396_v4 status is now inactive due to auto deactivation removed underperforming models
chaiml-95p-5ff-chaiml-m_75396_v4 status is now protected due to ABTestQueueItem
chaiml-95p-5ff-chaiml-m_75396_v4 status is now inactive due to ABTestQueueItem
chaiml-95p-5ff-chaiml-m_75396_v4 status is now torndown due to DeploymentManager action