developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048-_7175_v1
model_name: chaiml-mistral-24b-2048-_7175_v1
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-14T16:59:16+00:00
num_battles: 10743
num_wins: 5466
celo_rating: 1301.66
family_friendly_score: 0.4992
family_friendly_standard_error: 0.007071058760892883
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_funny_ds_v1_594_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': 0.3342350393962532, 'latency_mean': 2.991841162443161, 'latency_p50': 2.9986666440963745, 'latency_p90': 3.1894886970520018}, {'batch_size': 2, 'throughput': 0.5164393306422712, 'latency_mean': 3.863584084510803, 'latency_p50': 3.8530263900756836, 'latency_p90': 4.116323375701905}, {'batch_size': 3, 'throughput': 0.642039597449409, 'latency_mean': 4.665270156860352, 'latency_p50': 4.638624787330627, 'latency_p90': 5.006012225151062}, {'batch_size': 4, 'throughput': 0.7314231760602072, 'latency_mean': 5.4530391073226925, 'latency_p50': 5.451526045799255, 'latency_p90': 5.791609454154968}, {'batch_size': 5, 'throughput': 0.7856455047705132, 'latency_mean': 6.352175381183624, 'latency_p50': 6.374140381813049, 'latency_p90': 7.020227241516113}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048-_7175_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_funny_ds_v1_594_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.49
us_pacific_date: 2026-01-09
win_ratio: 0.508796425579447
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:', '<|im_start|>', '</s>', '\n', '<|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}:', '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-2048-7175-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-7175-v1-mkmlizer to finish
chaiml-mistral-24b-2048-7175-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-7175-v1-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-7175-v1-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-2048-7175-v1-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-7175-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-7175-v1-mkmlizer: Downloaded to shared memory in 80.533s
chaiml-mistral-24b-2048-7175-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_funny_ds_v1_594_merged already exists in ChaiML
chaiml-mistral-24b-2048-7175-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp923kuhy7, device:0
chaiml-mistral-24b-2048-7175-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-7175-v1-mkmlizer: 
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chaiml-mistral-24b-2048-7175-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmp923kuhy7' 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-2048-7175-v1-mkmlizer: quantized model in 288.270s
chaiml-mistral-24b-2048-7175-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_funny_ds_v1_594_merged in 368.804s
chaiml-mistral-24b-2048-7175-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-7175-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-7175-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/config.json
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-7175-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-7175-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-7175-v1-mkmlizer completed after 439.08s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-7175-v1-mkmlizer
Pipeline stage MKMLizer completed in 439.59s
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 chaiml-mistral-24b-2048-7175-v1
Waiting for inference service chaiml-mistral-24b-2048-7175-v1 to be ready
Tearing down inference service chaiml-mistral-24b-2048-7175-v1
%s, retrying in %s seconds...
Creating inference service chaiml-mistral-24b-2048-7175-v1
Waiting for inference service chaiml-mistral-24b-2048-7175-v1 to be ready
Inference service chaiml-mistral-24b-2048-7175-v1 ready after 60.31494140625s
Pipeline stage MKMLDeployer completed in 161.83s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.365478515625s
Received healthy response to inference request in 2.2684051990509033s
Received healthy response to inference request in 2.063601016998291s
Received healthy response to inference request in 3.1494500637054443s
Received healthy response to inference request in 1.950376272201538s
5 requests
0 failed requests
5th percentile: 1.9730212211608886
10th percentile: 1.9956661701202392
20th percentile: 2.0409560680389403
30th percentile: 2.1045618534088133
40th percentile: 2.1864835262298583
50th percentile: 2.2684051990509033
60th percentile: 2.307234525680542
70th percentile: 2.3460638523101807
80th percentile: 2.522272825241089
90th percentile: 2.8358614444732666
95th percentile: 2.9926557540893555
99th percentile: 3.1180912017822267
mean time: 2.3594622135162355
Pipeline stage StressChecker completed in 13.16s
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 0.94s
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 0.64s
Shutdown handler de-registered
chaiml-mistral-24b-2048-_7175_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
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 2352.92s
Shutdown handler de-registered
chaiml-mistral-24b-2048-_7175_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral-24b-2048-_7175_v1 status is now torndown due to DeploymentManager action