developer_uid: zonemercy
submission_id: chaiml-kimid-v4a_v9
model_name: test
model_group: ChaiML/kimid-v4a
status: torndown
timestamp: 2025-12-12T18:28:26+00:00
num_battles: 7870
num_wins: 4048
celo_rating: 1298.71
family_friendly_score: 0.49760000000000004
family_friendly_standard_error: 0.007070986352695075
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': 0.42635285250858446, 'latency_mean': 2.3453973937034607, 'latency_p50': 2.3424296379089355, 'latency_p90': 2.54937162399292}, {'batch_size': 2, 'throughput': 0.6250691993401882, 'latency_mean': 3.194959179162979, 'latency_p50': 3.185845136642456, 'latency_p90': 3.4179107427597044}, {'batch_size': 3, 'throughput': 0.7625079626335605, 'latency_mean': 3.9227782607078554, 'latency_p50': 3.9129559993743896, 'latency_p90': 4.494546675682067}, {'batch_size': 4, 'throughput': 0.8555862395826895, 'latency_mean': 4.654329475164413, 'latency_p50': 4.675397038459778, 'latency_p90': 5.111119437217712}, {'batch_size': 5, 'throughput': 0.9142938188298128, 'latency_mean': 5.437088277339935, 'latency_p50': 5.467642545700073, 'latency_p90': 6.176558089256287}]
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: 2025-12-07
win_ratio: 0.5143583227445997
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v4a-v9-mkmlizer
Waiting for job on chaiml-kimid-v4a-v9-mkmlizer to finish
chaiml-kimid-v4a-v9-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-v9-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-v9-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-v9-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-v9-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-v9-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-v9-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-v9-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-v9-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-v9-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-v9-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-v9-mkmlizer: Downloaded to shared memory in 33.246s
chaiml-kimid-v4a-v9-mkmlizer: Checking if ChaiML/kimid-v4a already exists in ChaiML
chaiml-kimid-v4a-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpyxhutc3p, device:0
chaiml-kimid-v4a-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-v9-mkmlizer: 
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chaiml-kimid-v4a-v9-mkmlizer: The tokenizer you are loading from '/tmp/tmpyxhutc3p' 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-v9-mkmlizer: quantized model in 276.794s
chaiml-kimid-v4a-v9-mkmlizer: Processed model ChaiML/kimid-v4a in 310.041s
chaiml-kimid-v4a-v9-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v9/nvidia/tokenizer.json
chaiml-kimid-v4a-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v9/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v9/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-v9-mkmlizer completed after 388.56s with status: succeeded
Stopping job with name chaiml-kimid-v4a-v9-mkmlizer
Pipeline stage MKMLizer completed in 389.13s
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-v9
Waiting for inference service chaiml-kimid-v4a-v9 to be ready
Inference service chaiml-kimid-v4a-v9 ready after 210.96814036369324s
Pipeline stage MKMLDeployer completed in 211.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.205336809158325s
Received healthy response to inference request in 2.4210777282714844s
Received healthy response to inference request in 2.361595630645752s
Received healthy response to inference request in 2.1256911754608154s
Received healthy response to inference request in 2.2095091342926025s
5 requests
0 failed requests
5th percentile: 2.1416203022003173
10th percentile: 2.157549428939819
20th percentile: 2.1894076824188233
30th percentile: 2.2061712741851807
40th percentile: 2.2078402042388916
50th percentile: 2.2095091342926025
60th percentile: 2.2703437328338625
70th percentile: 2.331178331375122
80th percentile: 2.3734920501708983
90th percentile: 2.3972848892211913
95th percentile: 2.409181308746338
99th percentile: 2.418698444366455
mean time: 2.264642095565796
Pipeline stage StressChecker completed in 13.05s
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 0.69s
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 0.63s
Shutdown handler de-registered
chaiml-kimid-v4a_v9 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v4a-v9-profiler
Waiting for inference service chaiml-kimid-v4a-v9-profiler to be ready
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 2631.01s
Shutdown handler de-registered
chaiml-kimid-v4a_v9 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v4a_v9 status is now torndown due to DeploymentManager action