developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g16_v2
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:27:56+00:00
num_battles: 8192
num_wins: 4269
celo_rating: 1302.28
family_friendly_score: 0.5104
family_friendly_standard_error: 0.00706953803299763
submission_type: basic
model_repo: ChaiML/kimid-v3_lr2e6g16
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': 0.42352839296579414, 'latency_mean': 2.3610410380363462, 'latency_p50': 2.3809823989868164, 'latency_p90': 2.5641499042510985}, {'batch_size': 2, 'throughput': 0.6324809737096754, 'latency_mean': 3.1551594769954683, 'latency_p50': 3.147005558013916, 'latency_p90': 3.402763271331787}, {'batch_size': 3, 'throughput': 0.7672093377227782, 'latency_mean': 3.897643407583237, 'latency_p50': 3.8807992935180664, 'latency_p90': 4.161609268188476}, {'batch_size': 4, 'throughput': 0.8649336273935765, 'latency_mean': 4.605077382326126, 'latency_p50': 4.621875047683716, 'latency_p90': 5.229613089561463}, {'batch_size': 5, 'throughput': 0.926463787864447, 'latency_mean': 5.381300663948059, 'latency_p50': 5.375248551368713, 'latency_p90': 6.223732566833496}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-05
win_ratio: 0.5211181640625
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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v3-lr2e6g16-v2-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g16-v2-mkmlizer to finish
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g16-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-v3-lr2e6g16-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: Downloaded to shared memory in 38.744s
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g16 already exists in ChaiML
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpgrbbmi3n, device:0
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: 
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chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpgrbbmi3n' 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-lr2e6g16-v2-mkmlizer: quantized model in 276.738s
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g16 in 315.482s
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/config.json
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g16-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g16-v2-mkmlizer completed after 387.95s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g16-v2-mkmlizer
Pipeline stage MKMLizer completed in 388.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g16-v2
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v2 to be ready
Inference service chaiml-kimid-v3-lr2e6g16-v2 ready after 190.6488606929779s
Pipeline stage MKMLDeployer completed in 191.19s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2612364292144775s
Received healthy response to inference request in 2.260006904602051s
Received healthy response to inference request in 2.236626148223877s
Received healthy response to inference request in 2.6192450523376465s
Received healthy response to inference request in 2.218050003051758s
5 requests
0 failed requests
5th percentile: 2.221765232086182
10th percentile: 2.2254804611206054
20th percentile: 2.232910919189453
30th percentile: 2.2413022994995115
40th percentile: 2.250654602050781
50th percentile: 2.260006904602051
60th percentile: 2.403702163696289
70th percentile: 2.547397422790527
80th percentile: 2.747643327713013
90th percentile: 3.004439878463745
95th percentile: 3.1328381538391112
99th percentile: 3.2355567741394045
mean time: 2.519032907485962
Pipeline stage StressChecker completed in 14.31s
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 0.98s
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-v3-lr2e6g16_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 0.11s
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-v3-lr2e6g16-v2-profiler
Waiting for inference service chaiml-kimid-v3-lr2e6g16-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 2652.71s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v2 status is now torndown due to DeploymentManager action