developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_80641_v1
model_name: chaiml-mistral-24b-2048_80641_v1
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-14T16:59:29+00:00
num_battles: 12948
num_wins: 5722
celo_rating: 9999.0
family_friendly_score: 0.48939999999999995
family_friendly_standard_error: 0.007069478622925456
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_funny_ds_v4_875_10k_base_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': 0.339192390053936, 'latency_mean': 2.948105481863022, 'latency_p50': 2.9468350410461426, 'latency_p90': 3.138439393043518}, {'batch_size': 2, 'throughput': 0.5324064124910298, 'latency_mean': 3.7464641416072846, 'latency_p50': 3.7324864864349365, 'latency_p90': 3.9854016065597535}, {'batch_size': 3, 'throughput': 0.6634665846056688, 'latency_mean': 4.506415948867798, 'latency_p50': 4.508386135101318, 'latency_p90': 4.780118036270141}, {'batch_size': 4, 'throughput': 0.7575057456931201, 'latency_mean': 5.271078561544418, 'latency_p50': 5.2776572704315186, 'latency_p90': 5.858576989173889}, {'batch_size': 5, 'throughput': 0.8185053048130422, 'latency_mean': 6.087426607608795, 'latency_p50': 6.049751281738281, 'latency_p90': 6.842094779014587}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_80641_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_funny_ds_v4_875_10k_base_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.52
us_pacific_date: 2026-01-10
win_ratio: 0.4419215322829781
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} <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-mistral-24b-2048-80641-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-80641-v1-mkmlizer to finish
chaiml-mistral-24b-2048-80641-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-80641-v1-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-80641-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-2048-80641-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ ║
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chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ║ ║
chaiml-mistral-24b-2048-80641-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-80641-v1-mkmlizer: Downloaded to shared memory in 87.322s
chaiml-mistral-24b-2048-80641-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_funny_ds_v4_875_10k_base_merged already exists in ChaiML
chaiml-mistral-24b-2048-80641-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp91fi7dr3, device:0
chaiml-mistral-24b-2048-80641-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-mistral-24b-2048-80641-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmp91fi7dr3' 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-2048-80641-v1-mkmlizer: quantized model in 323.096s
chaiml-mistral-24b-2048-80641-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_funny_ds_v4_875_10k_base_merged in 410.418s
chaiml-mistral-24b-2048-80641-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-80641-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-80641-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/config.json
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-80641-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-80641-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-80641-v1-mkmlizer completed after 490.1s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-80641-v1-mkmlizer
Pipeline stage MKMLizer completed in 490.65s
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-2048-80641-v1
Waiting for inference service chaiml-mistral-24b-2048-80641-v1 to be ready
Inference service chaiml-mistral-24b-2048-80641-v1 ready after 171.1496274471283s
Pipeline stage MKMLDeployer completed in 171.76s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7890422344207764s
Received healthy response to inference request in 2.973151922225952s
Received healthy response to inference request in 2.7373011112213135s
Received healthy response to inference request in 3.128796100616455s
Received healthy response to inference request in 3.6260011196136475s
5 requests
0 failed requests
5th percentile: 2.747649335861206
10th percentile: 2.7579975605010985
20th percentile: 2.778694009780884
30th percentile: 2.8258641719818116
40th percentile: 2.8995080471038817
50th percentile: 2.973151922225952
60th percentile: 3.0354095935821532
70th percentile: 3.0976672649383543
80th percentile: 3.2282371044158937
90th percentile: 3.4271191120147706
95th percentile: 3.526560115814209
99th percentile: 3.6061129188537597
mean time: 3.050858497619629
Pipeline stage StressChecker completed in 16.56s
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 0.95s
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 1.05s
Shutdown handler de-registered
chaiml-mistral-24b-2048_80641_v1 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 2991.78s
Shutdown handler de-registered
chaiml-mistral-24b-2048_80641_v1 status is now torndown due to DeploymentManager action