developer_uid: zonemercy
submission_id: chaiml-kimid-v4-lr5e6g32_v2
model_name: test
model_group: ChaiML/kimid-v4_lr5e6g32
status: torndown
timestamp: 2025-12-12T18:28:13+00:00
num_battles: 6663
num_wins: 3397
celo_rating: 1293.15
family_friendly_score: 0.505
family_friendly_standard_error: 0.007070714249635605
submission_type: basic
model_repo: ChaiML/kimid-v4_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': 0.4209038921379707, 'latency_mean': 2.3757758152484896, 'latency_p50': 2.366144895553589, 'latency_p90': 2.5769086122512816}, {'batch_size': 2, 'throughput': 0.6230802452907847, 'latency_mean': 3.209668883085251, 'latency_p50': 3.2285044193267822, 'latency_p90': 3.463233542442322}, {'batch_size': 3, 'throughput': 0.7577774674921424, 'latency_mean': 3.94989737868309, 'latency_p50': 3.926567316055298, 'latency_p90': 4.599415278434753}, {'batch_size': 4, 'throughput': 0.8495657007892877, 'latency_mean': 4.690779569149018, 'latency_p50': 4.684690594673157, 'latency_p90': 5.323744606971741}, {'batch_size': 5, 'throughput': 0.8998070155744865, 'latency_mean': 5.524929069280624, 'latency_p50': 5.542031526565552, 'latency_p90': 6.100384306907654}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2025-12-06
win_ratio: 0.5098304067236981
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>', 'You:', '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-v4-lr5e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v4-lr5e6g32-v2-mkmlizer to finish
chaiml-kimid-v4-lr5e6g32-v2-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-v4-lr5e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: Downloaded to shared memory in 34.940s
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: Checking if ChaiML/kimid-v4_lr5e6g32 already exists in ChaiML
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3lmpbc9t, device:0
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: 
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chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmp3lmpbc9t' 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-v4-lr5e6g32-v2-mkmlizer: quantized model in 276.169s
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v4_lr5e6g32 in 311.109s
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/config.json
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/tokenizer.json
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-lr5e6g32-v2-mkmlizer completed after 383.58s with status: succeeded
Stopping job with name chaiml-kimid-v4-lr5e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 384.54s
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-v4-lr5e6g32-v2
Waiting for inference service chaiml-kimid-v4-lr5e6g32-v2 to be ready
Inference service chaiml-kimid-v4-lr5e6g32-v2 ready after 200.93601393699646s
Pipeline stage MKMLDeployer completed in 201.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5960657596588135s
Received healthy response to inference request in 2.216714382171631s
Received healthy response to inference request in 2.7965049743652344s
Received healthy response to inference request in 1.9381370544433594s
Received healthy response to inference request in 2.3959317207336426s
5 requests
0 failed requests
5th percentile: 1.9938525199890136
10th percentile: 2.049567985534668
20th percentile: 2.1609989166259767
30th percentile: 2.2525578498840333
40th percentile: 2.3242447853088377
50th percentile: 2.3959317207336426
60th percentile: 2.4759853363037108
70th percentile: 2.5560389518737794
80th percentile: 2.6361536026000976
90th percentile: 2.716329288482666
95th percentile: 2.7564171314239503
99th percentile: 2.7884874057769777
mean time: 2.388670778274536
Pipeline stage StressChecker completed in 13.32s
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 1.06s
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 0.75s
Shutdown handler de-registered
chaiml-kimid-v4-lr5e6g32_v2 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v4-lr5e6g32-v2-profiler
Waiting for inference service chaiml-kimid-v4-lr5e6g32-v2-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 2588.96s
Shutdown handler de-registered
chaiml-kimid-v4-lr5e6g32_v2 status is now torndown due to DeploymentManager action