developer_uid: zonemercy
submission_id: chaiml-kimid-v4-lr2e6g16_v3
model_name: test
model_group: ChaiML/kimid-v4_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:28:11+00:00
num_battles: 6543
num_wins: 3373
celo_rating: 1302.5
family_friendly_score: 0.5127999999999999
family_friendly_standard_error: 0.007068750384615374
submission_type: basic
model_repo: ChaiML/kimid-v4_lr2e6g16
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 72
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.42674582392770505, 'latency_mean': 2.3432495856285094, 'latency_p50': 2.331874966621399, 'latency_p90': 2.540581798553467}, {'batch_size': 2, 'throughput': 0.6300846201500866, 'latency_mean': 3.1670582306385042, 'latency_p50': 3.1687753200531006, 'latency_p90': 3.4169965505599977}, {'batch_size': 3, 'throughput': 0.7639051814830573, 'latency_mean': 3.914656103849411, 'latency_p50': 3.911536693572998, 'latency_p90': 4.410294675827026}, {'batch_size': 4, 'throughput': 0.860131162422836, 'latency_mean': 4.636798818111419, 'latency_p50': 4.659312725067139, 'latency_p90': 5.1845627784729}, {'batch_size': 5, 'throughput': 0.9172184813519861, 'latency_mean': 5.428978831768036, 'latency_p50': 5.453937768936157, 'latency_p90': 6.049979233741761}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.73
us_pacific_date: 2025-12-06
win_ratio: 0.5155127617300932
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '</s>', 'User:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 72}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
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-kimid-v4-lr2e6g16-v3-mkmlizer
Waiting for job on chaiml-kimid-v4-lr2e6g16-v3-mkmlizer to finish
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-lr2e6g16-v3-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-kimid-v4-lr2e6g16-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: Downloaded to shared memory in 39.462s
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: Checking if ChaiML/kimid-v4_lr2e6g16 already exists in ChaiML
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpw22ez09k, device:0
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: 
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chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpw22ez09k' 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-kimid-v4-lr2e6g16-v3-mkmlizer: quantized model in 277.044s
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: Processed model ChaiML/kimid-v4_lr2e6g16 in 316.507s
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/config.json
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/special_tokens_map.json
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/tokenizer.json
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-lr2e6g16-v3-mkmlizer completed after 389.28s with status: succeeded
Stopping job with name chaiml-kimid-v4-lr2e6g16-v3-mkmlizer
Pipeline stage MKMLizer completed in 389.75s
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-kimid-v4-lr2e6g16-v3
Waiting for inference service chaiml-kimid-v4-lr2e6g16-v3 to be ready
Inference service chaiml-kimid-v4-lr2e6g16-v3 ready after 201.0679953098297s
Pipeline stage MKMLDeployer completed in 201.68s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.601440191268921s
Received healthy response to inference request in 1.9372153282165527s
Received healthy response to inference request in 2.617764711380005s
Received healthy response to inference request in 2.315201759338379s
Received healthy response to inference request in 2.7095863819122314s
5 requests
0 failed requests
5th percentile: 2.012812614440918
10th percentile: 2.088409900665283
20th percentile: 2.2396044731140137
30th percentile: 2.372449445724487
40th percentile: 2.486944818496704
50th percentile: 2.601440191268921
60th percentile: 2.6079699993133545
70th percentile: 2.614499807357788
80th percentile: 2.63612904548645
90th percentile: 2.672857713699341
95th percentile: 2.691222047805786
99th percentile: 2.7059135150909426
mean time: 2.4362416744232176
Pipeline stage StressChecker completed in 13.50s
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 0.81s
Shutdown handler de-registered
chaiml-kimid-v4-lr2e6g16_v3 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 2422.39s
Shutdown handler de-registered
chaiml-kimid-v4-lr2e6g16_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v4-lr2e6g16_v3 status is now torndown due to DeploymentManager action