developer_uid: zonemercy
submission_id: chaiml-kimid-v4_v6
model_name: test
model_group: ChaiML/kimid-v4
status: torndown
timestamp: 2025-12-12T18:28:14+00:00
num_battles: 6708
num_wins: 3423
celo_rating: 1299.34
family_friendly_score: 0.506
family_friendly_standard_error: 0.007070558676653493
submission_type: basic
model_repo: ChaiML/kimid-v4
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': 0.42806437103871925, 'latency_mean': 2.336034529209137, 'latency_p50': 2.344938278198242, 'latency_p90': 2.5425968170166016}, {'batch_size': 2, 'throughput': 0.6402230723538075, 'latency_mean': 3.114718269109726, 'latency_p50': 3.091055154800415, 'latency_p90': 3.3723143339157104}, {'batch_size': 3, 'throughput': 0.7757037865868497, 'latency_mean': 3.8621656596660614, 'latency_p50': 3.8715564012527466, 'latency_p90': 4.098385310173034}, {'batch_size': 4, 'throughput': 0.8789317336890224, 'latency_mean': 4.542464815378189, 'latency_p50': 4.535873532295227, 'latency_p90': 4.949842047691345}, {'batch_size': 5, 'throughput': 0.9408890215738874, 'latency_mean': 5.284940602779389, 'latency_p50': 5.288301348686218, 'latency_p90': 5.824501156806946}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4
model_size: 24B
ranking_group: single
throughput_3p7s: 0.75
us_pacific_date: 2025-12-07
win_ratio: 0.5102862254025045
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Starting job with name chaiml-kimid-v4-v6-mkmlizer
Waiting for job on chaiml-kimid-v4-v6-mkmlizer to finish
chaiml-kimid-v4-v6-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-v6-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-v6-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-v6-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-v6-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-v6-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-v6-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-v6-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-v6-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-v6-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-v6-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-v6-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-v6-mkmlizer: Downloaded to shared memory in 42.865s
chaiml-kimid-v4-v6-mkmlizer: Checking if ChaiML/kimid-v4 already exists in ChaiML
chaiml-kimid-v4-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpg0y13h9r, device:0
chaiml-kimid-v4-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-v6-mkmlizer: 
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chaiml-kimid-v4-v6-mkmlizer: The tokenizer you are loading from '/tmp/tmpg0y13h9r' 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-v6-mkmlizer: quantized model in 276.373s
chaiml-kimid-v4-v6-mkmlizer: Processed model ChaiML/kimid-v4 in 319.239s
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/config.json
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/special_tokens_map.json
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/tokenizer_config.json
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/tokenizer.json
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-v6/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-v6-mkmlizer completed after 437.93s with status: succeeded
Stopping job with name chaiml-kimid-v4-v6-mkmlizer
Pipeline stage MKMLizer completed in 439.41s
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-v6
Waiting for inference service chaiml-kimid-v4-v6 to be ready
Inference service chaiml-kimid-v4-v6 ready after 210.71472096443176s
Pipeline stage MKMLDeployer completed in 211.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.31390643119812s
Received healthy response to inference request in 2.2987027168273926s
Received healthy response to inference request in 2.4508039951324463s
Received healthy response to inference request in 2.2199463844299316s
Received healthy response to inference request in 2.4100914001464844s
5 requests
0 failed requests
5th percentile: 2.2356976509094237
10th percentile: 2.251448917388916
20th percentile: 2.2829514503479005
30th percentile: 2.3017434597015383
40th percentile: 2.307824945449829
50th percentile: 2.31390643119812
60th percentile: 2.3523804187774657
70th percentile: 2.3908544063568113
80th percentile: 2.4182339191436766
90th percentile: 2.4345189571380614
95th percentile: 2.442661476135254
99th percentile: 2.449175491333008
mean time: 2.338690185546875
Pipeline stage StressChecker completed in 12.94s
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 0.60s
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 0.90s
Shutdown handler de-registered
chaiml-kimid-v4_v6 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 2579.85s
Shutdown handler de-registered
chaiml-kimid-v4_v6 status is now torndown due to DeploymentManager action