developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g16_v5
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:27:57+00:00
num_battles: 8978
num_wins: 4651
celo_rating: 1308.45
family_friendly_score: 0.5098
family_friendly_standard_error: 0.007069709470692555
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': 0.424402629912412, 'latency_mean': 2.356189386844635, 'latency_p50': 2.3594096899032593, 'latency_p90': 2.557112622261047}, {'batch_size': 2, 'throughput': 0.6298306780079638, 'latency_mean': 3.1713892793655396, 'latency_p50': 3.182452917098999, 'latency_p90': 3.4004231691360474}, {'batch_size': 3, 'throughput': 0.7727386644536401, 'latency_mean': 3.8737808763980865, 'latency_p50': 3.8785353899002075, 'latency_p90': 4.333922863006592}, {'batch_size': 4, 'throughput': 0.8693477790471084, 'latency_mean': 4.593284151554108, 'latency_p50': 4.62212061882019, 'latency_p90': 4.92240526676178}, {'batch_size': 5, 'throughput': 0.9265193446205187, 'latency_mean': 5.3620315313339235, 'latency_p50': 5.389179229736328, 'latency_p90': 6.128614473342895}]
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: 2025-12-06
win_ratio: 0.5180441078191134
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v3-lr2e6g16-v5-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g16-v5-mkmlizer to finish
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g16-v5-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-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: Downloaded to shared memory in 38.005s
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g16 already exists in ChaiML
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp2ow83sl_, device:0
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: 
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chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmp2ow83sl_' 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-v5-mkmlizer: quantized model in 274.325s
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g16 in 312.331s
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/config.json
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g16-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g16-v5-mkmlizer completed after 384.78s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g16-v5-mkmlizer
Pipeline stage MKMLizer completed in 385.91s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g16-v5
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v5 to be ready
Inference service chaiml-kimid-v3-lr2e6g16-v5 ready after 201.05287337303162s
Pipeline stage MKMLDeployer completed in 202.04s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4874515533447266s
Received healthy response to inference request in 2.3710782527923584s
Received healthy response to inference request in 2.3296923637390137s
Received healthy response to inference request in 2.3760907649993896s
Received healthy response to inference request in 2.472883939743042s
5 requests
0 failed requests
5th percentile: 2.3379695415496826
10th percentile: 2.3462467193603516
20th percentile: 2.3628010749816895
30th percentile: 2.372080755233765
40th percentile: 2.3740857601165772
50th percentile: 2.3760907649993896
60th percentile: 2.4148080348968506
70th percentile: 2.4535253047943115
80th percentile: 2.4757974624633787
90th percentile: 2.4816245079040526
95th percentile: 2.48453803062439
99th percentile: 2.4868688488006594
mean time: 2.407439374923706
Pipeline stage StressChecker completed in 16.63s
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 0.73s
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 0.70s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v5 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3-lr2e6g16-v5-profiler
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v5-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 2665.83s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v5 status is now torndown due to DeploymentManager action