developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_84165_v1
model_name: chaiml-mistral-24b-2048_84165_v1
model_group: ChaiML/mistral_24b_2048_
status: inactive
timestamp: 2026-01-08T04:57:52+00:00
num_battles: 11240
num_wins: 5406
celo_rating: 1282.07
family_friendly_score: 0.5372
family_friendly_standard_error: 0.007051470201312631
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_old_dataset_v1_344_merged
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': 0.45680870589411965, 'latency_mean': 2.1890378975868225, 'latency_p50': 2.1846301555633545, 'latency_p90': 2.38819305896759}, {'batch_size': 2, 'throughput': 0.6639733633320739, 'latency_mean': 3.0104064917564393, 'latency_p50': 3.0103511810302734, 'latency_p90': 3.284467101097107}, {'batch_size': 3, 'throughput': 0.7954103197585313, 'latency_mean': 3.7573093247413634, 'latency_p50': 3.7509511709213257, 'latency_p90': 4.200169253349304}, {'batch_size': 4, 'throughput': 0.8919531973466567, 'latency_mean': 4.474709553718567, 'latency_p50': 4.448049783706665, 'latency_p90': 5.253130269050598}, {'batch_size': 5, 'throughput': 0.9424338917032549, 'latency_mean': 5.289975609779358, 'latency_p50': 5.290075778961182, 'latency_p90': 6.12422194480896}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_84165_v1
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_old_dataset_v1_344_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2026-01-07
win_ratio: 0.4809608540925267
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:', '</s>', '<|im_end|>', '###', '\n', '<|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 chaiml-mistral-24b-2048-84165-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-84165-v1-mkmlizer to finish
chaiml-mistral-24b-2048-84165-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-84165-v1-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-84165-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-2048-84165-v1-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-84165-v1-mkmlizer: Downloaded to shared memory in 102.576s
chaiml-mistral-24b-2048-84165-v1-mkmlizer: Checking if ChaiML/mistral_24b_2048_old_dataset_v1_344_merged already exists in ChaiML
chaiml-mistral-24b-2048-84165-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpc4qhvzo0, device:0
chaiml-mistral-24b-2048-84165-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-84165-v1-mkmlizer: 
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chaiml-mistral-24b-2048-84165-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpc4qhvzo0' 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-2048-84165-v1-mkmlizer: quantized model in 282.458s
chaiml-mistral-24b-2048-84165-v1-mkmlizer: Processed model ChaiML/mistral_24b_2048_old_dataset_v1_344_merged in 385.034s
chaiml-mistral-24b-2048-84165-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-84165-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-84165-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/config.json
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/tokenizer.json
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-84165-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-84165-v1-mkmlizer completed after 469.51s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-84165-v1-mkmlizer
Pipeline stage MKMLizer completed in 469.95s
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-2048-84165-v1
Waiting for inference service chaiml-mistral-24b-2048-84165-v1 to be ready
Inference service chaiml-mistral-24b-2048-84165-v1 ready after 150.61348700523376s
Pipeline stage MKMLDeployer completed in 151.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.558530569076538s
Received healthy response to inference request in 2.1188998222351074s
Received healthy response to inference request in 1.9872848987579346s
Received healthy response to inference request in 1.546872615814209s
Received healthy response to inference request in 2.5173611640930176s
5 requests
0 failed requests
5th percentile: 1.634955072402954
10th percentile: 1.7230375289916993
20th percentile: 1.8992024421691895
30th percentile: 2.013607883453369
40th percentile: 2.0662538528442385
50th percentile: 2.1188998222351074
60th percentile: 2.2782843589782713
70th percentile: 2.4376688957214356
80th percentile: 2.5255950450897218
90th percentile: 2.5420628070831297
95th percentile: 2.550296688079834
99th percentile: 2.5568837928771972
mean time: 2.1457898139953615
Pipeline stage StressChecker completed in 12.37s
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 0.65s
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
chaiml-mistral-24b-2048_84165_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 2341.58s
Shutdown handler de-registered
chaiml-mistral-24b-2048_84165_v1 status is now inactive due to auto deactivation removed underperforming models