developer_uid: zonemercy
submission_id: chaiml-kimid-v3_v5
model_name: test
model_group: ChaiML/kimid-v3
status: torndown
timestamp: 2025-12-12T18:28:03+00:00
num_battles: 8570
num_wins: 4442
celo_rating: 1304.36
family_friendly_score: 0.5056
family_friendly_standard_error: 0.007070624300583366
submission_type: basic
model_repo: ChaiML/kimid-v3
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': 0.42549250899889346, 'latency_mean': 2.350154414176941, 'latency_p50': 2.3641668558120728, 'latency_p90': 2.5496458292007445}, {'batch_size': 2, 'throughput': 0.642953863139182, 'latency_mean': 3.107792327404022, 'latency_p50': 3.110110282897949, 'latency_p90': 3.415119695663452}, {'batch_size': 3, 'throughput': 0.7831179059583463, 'latency_mean': 3.820397585630417, 'latency_p50': 3.808581233024597, 'latency_p90': 4.108294558525086}, {'batch_size': 4, 'throughput': 0.8844890162545109, 'latency_mean': 4.506612001657486, 'latency_p50': 4.515675783157349, 'latency_p90': 4.861065340042114}, {'batch_size': 5, 'throughput': 0.9418654775823402, 'latency_mean': 5.2946844887733455, 'latency_p50': 5.285614967346191, 'latency_p90': 5.916992425918579}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-12-06
win_ratio: 0.5183197199533256
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': ['User:', '</s>', 'You:'], '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-v3-v5-mkmlizer
Waiting for job on chaiml-kimid-v3-v5-mkmlizer to finish
chaiml-kimid-v3-v5-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-v3-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-v5-mkmlizer: Downloaded to shared memory in 37.120s
chaiml-kimid-v3-v5-mkmlizer: Checking if ChaiML/kimid-v3 already exists in ChaiML
chaiml-kimid-v3-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpzzk54rlo, device:0
chaiml-kimid-v3-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-v5-mkmlizer: 
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chaiml-kimid-v3-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmpzzk54rlo' 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-v3-v5-mkmlizer: quantized model in 276.736s
chaiml-kimid-v3-v5-mkmlizer: Processed model ChaiML/kimid-v3 in 313.857s
chaiml-kimid-v3-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia
chaiml-kimid-v3-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia/config.json
chaiml-kimid-v3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia/tokenizer_config.json
chaiml-kimid-v3-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia/special_tokens_map.json
chaiml-kimid-v3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia/tokenizer.json
chaiml-kimid-v3-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-v5/nvidia/flywheel_model.1.safetensors
Job chaiml-kimid-v3-v5-mkmlizer completed after 376.95s with status: succeeded
Stopping job with name chaiml-kimid-v3-v5-mkmlizer
Pipeline stage MKMLizer completed in 377.40s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.40s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-v5
Waiting for inference service chaiml-kimid-v3-v5 to be ready
Inference service chaiml-kimid-v3-v5 ready after 200.93735027313232s
Pipeline stage MKMLDeployer completed in 201.44s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2534754276275635s
Received healthy response to inference request in 2.5562403202056885s
Received healthy response to inference request in 2.3972256183624268s
Received healthy response to inference request in 1.8673744201660156s
Received healthy response to inference request in 2.1038548946380615s
5 requests
0 failed requests
5th percentile: 1.9146705150604248
10th percentile: 1.961966609954834
20th percentile: 2.0565587997436525
30th percentile: 2.133779001235962
40th percentile: 2.193627214431763
50th percentile: 2.2534754276275635
60th percentile: 2.310975503921509
70th percentile: 2.368475580215454
80th percentile: 2.429028558731079
90th percentile: 2.4926344394683837
95th percentile: 2.5244373798370363
99th percentile: 2.549879732131958
mean time: 2.235634136199951
Pipeline stage StressChecker completed in 12.55s
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 0.63s
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 0.65s
Shutdown handler de-registered
chaiml-kimid-v3_v5 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 2717.74s
Shutdown handler de-registered
chaiml-kimid-v3_v5 status is now torndown due to DeploymentManager action