chaiml-kimid-v3-lr2e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g32_v4
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g32
status: torndown
timestamp: 2025-12-12T18:28:00+00:00
num_battles: 8061
num_wins: 4121
celo_rating: 1300.52
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
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': 0.4400586070675351, 'latency_mean': 2.272341901063919, 'latency_p50': 2.284196972846985, 'latency_p90': 2.4620006561279295}, {'batch_size': 2, 'throughput': 0.6600324537913971, 'latency_mean': 3.0242361414432524, 'latency_p50': 3.0298573970794678, 'latency_p90': 3.2404613733291625}, {'batch_size': 3, 'throughput': 0.8219190204915271, 'latency_mean': 3.6462244713306426, 'latency_p50': 3.6493135690689087, 'latency_p90': 4.137527251243592}, {'batch_size': 4, 'throughput': 0.9226265051044044, 'latency_mean': 4.32589131474495, 'latency_p50': 4.300059199333191, 'latency_p90': 4.720664691925049}, {'batch_size': 5, 'throughput': 0.9926012066962059, 'latency_mean': 5.006344345808029, 'latency_p50': 5.043076157569885, 'latency_p90': 5.417863655090332}]
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: 0.83
us_pacific_date: 2025-12-06
win_ratio: 0.5112268949261878
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-lr2e6g32-v4-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g32-v4-mkmlizer to finish
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g32-v4-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-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: Downloaded to shared memory in 35.806s
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g32 already exists in ChaiML
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpr6tk1m6f, device:0
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: 
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chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmpr6tk1m6f' 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-v4-mkmlizer: quantized model in 276.912s
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g32 in 312.718s
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/config.json
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g32-v4-mkmlizer completed after 368.81s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g32-v4-mkmlizer
Pipeline stage MKMLizer completed in 369.34s
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-lr2e6g32-v4
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v4 to be ready
Tearing down inference service chaiml-kimid-v3-lr2e6g32-v4
%s, retrying in %s seconds...
Creating inference service chaiml-kimid-v3-lr2e6g32-v4
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v4 to be ready
Inference service chaiml-kimid-v3-lr2e6g32-v4 ready after 180.75074172019958s
Pipeline stage MKMLDeployer completed in 203.13s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.23740553855896s
Received healthy response to inference request in 2.5176780223846436s
Retrying (%r) after connection broken by '%r': %s
Received healthy response to inference request in 2.6555919647216797s
Received healthy response to inference request in 2.4415838718414307s
Received healthy response to inference request in 2.430166244506836s
5 requests
0 failed requests
5th percentile: 2.2759576797485352
10th percentile: 2.3145098209381105
20th percentile: 2.3916141033172607
30th percentile: 2.432449769973755
40th percentile: 2.437016820907593
50th percentile: 2.4415838718414307
60th percentile: 2.472021532058716
70th percentile: 2.502459192276001
80th percentile: 2.5452608108520507
90th percentile: 2.6004263877868654
95th percentile: 2.6280091762542725
99th percentile: 2.6500754070281984
mean time: 2.45648512840271
Pipeline stage StressChecker completed in 13.96s
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 0.67s
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 1.05s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v4 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 2732.35s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v4 status is now torndown due to DeploymentManager action