developer_uid: zonemercy
submission_id: chaiml-kimid-v4a_v3
model_name: test
model_group: ChaiML/kimid-v4a
status: torndown
timestamp: 2025-12-12T18:28:24+00:00
num_battles: 6507
num_wins: 3360
celo_rating: 1303.05
family_friendly_score: 0.49860000000000004
family_friendly_standard_error: 0.007071040093225324
submission_type: basic
model_repo: ChaiML/kimid-v4a
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': 0.42242948352948706, 'latency_mean': 2.3671838569641115, 'latency_p50': 2.370900273323059, 'latency_p90': 2.5551210403442384}, {'batch_size': 2, 'throughput': 0.634527258071311, 'latency_mean': 3.149205894470215, 'latency_p50': 3.1453278064727783, 'latency_p90': 3.39435350894928}, {'batch_size': 3, 'throughput': 0.7610194706390951, 'latency_mean': 3.9281213092803955, 'latency_p50': 3.9556241035461426, 'latency_p90': 4.202766728401184}, {'batch_size': 4, 'throughput': 0.8553197722627986, 'latency_mean': 4.637355899810791, 'latency_p50': 4.648435592651367, 'latency_p90': 5.388943791389465}, {'batch_size': 5, 'throughput': 0.919039345694919, 'latency_mean': 5.410061022043228, 'latency_p50': 5.416797876358032, 'latency_p90': 6.142300558090209}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a
model_size: 24B
ranking_group: single
throughput_3p7s: 0.73
us_pacific_date: 2025-12-06
win_ratio: 0.5163669893960351
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': ['</s>', 'You:', '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-v4a-v3-mkmlizer
Connection pool is full, discarding connection: %s. Connection pool size: %s
Waiting for job on chaiml-kimid-v4a-v3-mkmlizer to finish
chaiml-kimid-v4a-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-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-v4a-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-v3-mkmlizer: Downloaded to shared memory in 40.422s
chaiml-kimid-v4a-v3-mkmlizer: Checking if ChaiML/kimid-v4a already exists in ChaiML
chaiml-kimid-v4a-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp4bq573n0, device:0
chaiml-kimid-v4a-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-v3-mkmlizer: 
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chaiml-kimid-v4a-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmp4bq573n0' 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-v4a-v3-mkmlizer: quantized model in 275.455s
chaiml-kimid-v4a-v3-mkmlizer: Processed model ChaiML/kimid-v4a in 315.878s
chaiml-kimid-v4a-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/config.json
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/special_tokens_map.json
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/tokenizer.json
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-v3-mkmlizer completed after 358.13s with status: succeeded
Stopping job with name chaiml-kimid-v4a-v3-mkmlizer
Pipeline stage MKMLizer completed in 358.97s
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-v4a-v3
Waiting for inference service chaiml-kimid-v4a-v3 to be ready
Inference service chaiml-kimid-v4a-v3 ready after 201.48621797561646s
Pipeline stage MKMLDeployer completed in 202.08s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6372740268707275s
Received healthy response to inference request in 1.9505069255828857s
Received healthy response to inference request in 1.861459732055664s
Received healthy response to inference request in 2.1596884727478027s
Received healthy response to inference request in 2.5719752311706543s
5 requests
0 failed requests
5th percentile: 1.8792691707611084
10th percentile: 1.8970786094665528
20th percentile: 1.9326974868774414
30th percentile: 1.9923432350158692
40th percentile: 2.076015853881836
50th percentile: 2.1596884727478027
60th percentile: 2.3246031761169434
70th percentile: 2.4895178794860837
80th percentile: 2.585034990310669
90th percentile: 2.6111545085906984
95th percentile: 2.624214267730713
99th percentile: 2.6346620750427245
mean time: 2.236180877685547
Pipeline stage StressChecker completed in 12.76s
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 0.76s
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-kimid-v4a_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 2453.71s
Shutdown handler de-registered
chaiml-kimid-v4a_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v4a_v3 status is now torndown due to DeploymentManager action