developer_uid: zonemercy
submission_id: chaiml-kimid-v3b-lr5e6g32_v2
model_name: test
model_group: ChaiML/kimid-v3b_lr5e6g3
status: torndown
timestamp: 2025-12-12T18:28:08+00:00
num_battles: 9595
num_wins: 4874
celo_rating: 1299.89
family_friendly_score: 0.49739999999999995
family_friendly_standard_error: 0.007070972210382389
submission_type: basic
model_repo: ChaiML/kimid-v3b_lr5e6g32
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': 0.4259281736608296, 'latency_mean': 2.347734591960907, 'latency_p50': 2.349647045135498, 'latency_p90': 2.557353472709656}, {'batch_size': 2, 'throughput': 0.6345012416095676, 'latency_mean': 3.151265903711319, 'latency_p50': 3.171866774559021, 'latency_p90': 3.4089100122451783}, {'batch_size': 3, 'throughput': 0.7733998186223067, 'latency_mean': 3.8640449821949003, 'latency_p50': 3.8566044569015503, 'latency_p90': 4.167330956459045}, {'batch_size': 4, 'throughput': 0.8728475420754859, 'latency_mean': 4.568555332422257, 'latency_p50': 4.579167366027832, 'latency_p90': 5.123820400238037}, {'batch_size': 5, 'throughput': 0.9317727602543632, 'latency_mean': 5.3479177606105806, 'latency_p50': 5.335556149482727, 'latency_p90': 5.971791958808899}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3b_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.75
us_pacific_date: 2025-12-06
win_ratio: 0.5079729025534132
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:', 'User:', '</s>'], '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-v3b-lr5e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer to finish
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3b-lr5e6g32-v2-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-v3b-lr5e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: Downloaded to shared memory in 37.520s
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: Checking if ChaiML/kimid-v3b_lr5e6g32 already exists in ChaiML
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmplqlpzait, device:0
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: 
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chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmplqlpzait' 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-v3b-lr5e6g32-v2-mkmlizer: quantized model in 277.026s
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v3b_lr5e6g32 in 314.546s
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/config.json
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/tokenizer.json
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3b-lr5e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer completed after 387.81s with status: succeeded
Stopping job with name chaiml-kimid-v3b-lr5e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 388.41s
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-v3b-lr5e6g32-v2
Waiting for inference service chaiml-kimid-v3b-lr5e6g32-v2 to be ready
Inference service chaiml-kimid-v3b-lr5e6g32-v2 ready after 202.61061787605286s
Pipeline stage MKMLDeployer completed in 203.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4113688468933105s
Received healthy response to inference request in 2.3261287212371826s
Received healthy response to inference request in 2.511744499206543s
Received healthy response to inference request in 2.0552258491516113s
Received healthy response to inference request in 2.919281005859375s
5 requests
0 failed requests
5th percentile: 2.1094064235687258
10th percentile: 2.1635869979858398
20th percentile: 2.271948146820068
30th percentile: 2.343176746368408
40th percentile: 2.3772727966308596
50th percentile: 2.4113688468933105
60th percentile: 2.4515191078186036
70th percentile: 2.4916693687438967
80th percentile: 2.5932518005371095
90th percentile: 2.756266403198242
95th percentile: 2.8377737045288085
99th percentile: 2.902979545593262
mean time: 2.4447497844696047
Pipeline stage StressChecker completed in 13.59s
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 1.36s
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-v3b-lr5e6g32_v2 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3b-lr5e6g32-v2-profiler
Waiting for inference service chaiml-kimid-v3b-lr5e6g32-v2-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 2699.67s
Shutdown handler de-registered
chaiml-kimid-v3b-lr5e6g32_v2 status is now torndown due to DeploymentManager action