developer_uid: zonemercy
submission_id: chaiml-kimid-v3a-lr5e6g32_v3
model_name: test
model_group: ChaiML/kimid-v3a_lr5e6g3
status: torndown
timestamp: 2025-12-12T18:28:06+00:00
num_battles: 8347
num_wins: 4314
celo_rating: 1307.61
family_friendly_score: 0.5038
family_friendly_standard_error: 0.007070863596478156
submission_type: basic
model_repo: ChaiML/kimid-v3a_lr5e6g32
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': 0.4258729493364597, 'latency_mean': 2.348041969537735, 'latency_p50': 2.335500121116638, 'latency_p90': 2.564354157447815}, {'batch_size': 2, 'throughput': 0.6346583845745636, 'latency_mean': 3.1478320491313934, 'latency_p50': 3.1572670936584473, 'latency_p90': 3.372309947013855}, {'batch_size': 3, 'throughput': 0.7759705833223561, 'latency_mean': 3.8557875680923464, 'latency_p50': 3.8744620084762573, 'latency_p90': 4.137396931648254}, {'batch_size': 4, 'throughput': 0.8738939263800813, 'latency_mean': 4.558087722063065, 'latency_p50': 4.564711093902588, 'latency_p90': 5.241206622123718}, {'batch_size': 5, 'throughput': 0.9355538658515223, 'latency_mean': 5.337971886396408, 'latency_p50': 5.3387086391448975, 'latency_p90': 6.029307270050048}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3a_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.75
us_pacific_date: 2025-12-06
win_ratio: 0.5168323948724093
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': ['</s>', 'User:', '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-v3a-lr5e6g32-v3-mkmlizer
Waiting for job on chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer to finish
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3a-lr5e6g32-v3-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-v3a-lr5e6g32-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: Downloaded to shared memory in 40.419s
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: Checking if ChaiML/kimid-v3a_lr5e6g32 already exists in ChaiML
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpck40uxl_, device:0
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: 
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chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpck40uxl_' 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-v3a-lr5e6g32-v3-mkmlizer: quantized model in 277.204s
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: Processed model ChaiML/kimid-v3a_lr5e6g32 in 317.623s
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/config.json
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/special_tokens_map.json
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/tokenizer_config.json
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/tokenizer.json
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-lr5e6g32-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer completed after 358.19s with status: succeeded
Stopping job with name chaiml-kimid-v3a-lr5e6g32-v3-mkmlizer
Pipeline stage MKMLizer completed in 359.31s
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-v3a-lr5e6g32-v3
Waiting for inference service chaiml-kimid-v3a-lr5e6g32-v3 to be ready
Inference service chaiml-kimid-v3a-lr5e6g32-v3 ready after 200.79647755622864s
Pipeline stage MKMLDeployer completed in 201.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3955376148223877s
Received healthy response to inference request in 2.1962757110595703s
Received healthy response to inference request in 2.6165707111358643s
Received healthy response to inference request in 2.494447946548462s
Received healthy response to inference request in 2.318018674850464s
5 requests
0 failed requests
5th percentile: 2.220624303817749
10th percentile: 2.244972896575928
20th percentile: 2.293670082092285
30th percentile: 2.3335224628448485
40th percentile: 2.3645300388336183
50th percentile: 2.3955376148223877
60th percentile: 2.4351017475128174
70th percentile: 2.474665880203247
80th percentile: 2.5188724994659424
90th percentile: 2.5677216053009033
95th percentile: 2.592146158218384
99th percentile: 2.611685800552368
mean time: 2.4041701316833497
Pipeline stage StressChecker completed in 13.93s
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 0.68s
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-v3a-lr5e6g32_v3 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3a-lr5e6g32-v3-profiler
Waiting for inference service chaiml-kimid-v3a-lr5e6g32-v3-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 2585.11s
Shutdown handler de-registered
chaiml-kimid-v3a-lr5e6g32_v3 status is now torndown due to DeploymentManager action