developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g16_v4
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:27:57+00:00
num_battles: 9288
num_wins: 4808
celo_rating: 1307.75
family_friendly_score: 0.5096
family_friendly_standard_error: 0.007069764352508505
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': 0.438592320868871, 'latency_mean': 2.2799564707279205, 'latency_p50': 2.28293776512146, 'latency_p90': 2.479489541053772}, {'batch_size': 3, 'throughput': 0.8268083192209512, 'latency_mean': 3.617501519918442, 'latency_p50': 3.6158828735351562, 'latency_p90': 3.9030497312545775}, {'batch_size': 5, 'throughput': 1.0010839349304703, 'latency_mean': 4.961265554428101, 'latency_p50': 4.991103768348694, 'latency_p90': 5.459801197052002}, {'batch_size': 6, 'throughput': 1.068054710531533, 'latency_mean': 5.586814172267914, 'latency_p50': 5.564620852470398, 'latency_p90': 6.329824090003967}, {'batch_size': 10, 'throughput': 1.1738298189627474, 'latency_mean': 8.46654780626297, 'latency_p50': 8.445592880249023, 'latency_p90': 9.457426929473877}]
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_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2025-12-06
win_ratio: 0.5176571920757967
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Starting job with name chaiml-kimid-v3-lr2e6g16-v4-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g16-v4-mkmlizer to finish
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g16-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-lr2e6g16-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: Downloaded to shared memory in 36.688s
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g16 already exists in ChaiML
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpjdt7ndo5, device:0
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: 
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chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmpjdt7ndo5' 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-v4-mkmlizer: quantized model in 276.740s
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g16 in 313.429s
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/config.json
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g16-v4-mkmlizer completed after 378.82s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g16-v4-mkmlizer
Pipeline stage MKMLizer completed in 379.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g16-v4
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v4 to be ready
Inference service chaiml-kimid-v3-lr2e6g16-v4 ready after 190.75575017929077s
Pipeline stage MKMLDeployer completed in 191.30s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3004941940307617s
Received healthy response to inference request in 2.492981433868408s
Received healthy response to inference request in 2.16375470161438s
Received healthy response to inference request in 2.572728395462036s
Received healthy response to inference request in 2.3887510299682617s
5 requests
0 failed requests
5th percentile: 2.1911026000976563
10th percentile: 2.218450498580933
20th percentile: 2.2731462955474853
30th percentile: 2.3181455612182615
40th percentile: 2.3534482955932616
50th percentile: 2.3887510299682617
60th percentile: 2.4304431915283202
70th percentile: 2.4721353530883787
80th percentile: 2.5089308261871337
90th percentile: 2.540829610824585
95th percentile: 2.5567790031433106
99th percentile: 2.569538516998291
mean time: 2.3837419509887696
Pipeline stage StressChecker completed in 13.88s
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 0.95s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_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 2667.89s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v4 status is now torndown due to DeploymentManager action