chaiml-kimid-v3-lr2e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g32_v6
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g32
status: torndown
timestamp: 2025-12-12T18:28:00+00:00
num_battles: 7755
num_wins: 3947
celo_rating: 1300.45
family_friendly_score: 0.5156000000000001
family_friendly_standard_error: 0.007067625343777075
submission_type: basic
model_repo: ChaiML/kimid-v3_lr2e6g32
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': 0.4387004940220661, 'latency_mean': 2.279382075071335, 'latency_p50': 2.2842912673950195, 'latency_p90': 2.4796600341796875}, {'batch_size': 3, 'throughput': 0.8234439254530052, 'latency_mean': 3.6356465888023375, 'latency_p50': 3.645004987716675, 'latency_p90': 3.911730599403381}, {'batch_size': 5, 'throughput': 0.996903031691342, 'latency_mean': 4.987367614507675, 'latency_p50': 4.973700046539307, 'latency_p90': 5.587482571601868}, {'batch_size': 6, 'throughput': 1.0479927658259987, 'latency_mean': 5.687854987382889, 'latency_p50': 5.703679919242859, 'latency_p90': 6.398852801322937}, {'batch_size': 10, 'throughput': 1.147045981810184, 'latency_mean': 8.652261695861817, 'latency_p50': 8.648272514343262, 'latency_p90': 9.838524770736694}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2025-12-06
win_ratio: 0.5089619600257899
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-lr2e6g32-v6-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g32-v6-mkmlizer to finish
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g32-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-v3-lr2e6g32-v6-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: Downloaded to shared memory in 43.508s
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g32 already exists in ChaiML
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmplgzjq6gc, device:0
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: 
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chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: The tokenizer you are loading from '/tmp/tmplgzjq6gc' 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-lr2e6g32-v6-mkmlizer: quantized model in 284.109s
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g32 in 327.618s
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia/config.json
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g32-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v6/nvidia/flywheel_model.1.safetensors
Job chaiml-kimid-v3-lr2e6g32-v6-mkmlizer completed after 411.17s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g32-v6-mkmlizer
Pipeline stage MKMLizer completed in 411.67s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.54s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g32-v6
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v6 to be ready
Inference service chaiml-kimid-v3-lr2e6g32-v6 ready after 191.86095643043518s
Pipeline stage MKMLDeployer completed in 192.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6007988452911377s
Received healthy response to inference request in 2.3919453620910645s
Received healthy response to inference request in 3.1265246868133545s
Received healthy response to inference request in 2.149869203567505s
Received healthy response to inference request in 2.306758403778076s
5 requests
0 failed requests
5th percentile: 2.181247043609619
10th percentile: 2.2126248836517335
20th percentile: 2.275380563735962
30th percentile: 2.323795795440674
40th percentile: 2.357870578765869
50th percentile: 2.3919453620910645
60th percentile: 2.4754867553710938
70th percentile: 2.559028148651123
80th percentile: 2.7059440135955812
90th percentile: 2.916234350204468
95th percentile: 3.021379518508911
99th percentile: 3.105495653152466
mean time: 2.5151793003082275
Pipeline stage StressChecker completed in 14.33s
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 0.64s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_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 2705.04s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v6 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v3-lr2e6g32_v6 status is now torndown due to DeploymentManager action