chaiml-kimid-v3-lr2e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g32_v7
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g32
status: torndown
timestamp: 2025-12-12T18:27:59+00:00
num_battles: 11098
num_wins: 5686
celo_rating: 1301.32
family_friendly_score: 0.5207999999999999
family_friendly_standard_error: 0.007064946708928524
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': 0.42643991744347426, 'latency_mean': 2.3449294114112855, 'latency_p50': 2.350632905960083, 'latency_p90': 2.537892484664917}, {'batch_size': 2, 'throughput': 0.6392681420574083, 'latency_mean': 3.1247639334201813, 'latency_p50': 3.130310893058777, 'latency_p90': 3.394490361213684}, {'batch_size': 3, 'throughput': 0.7826448130554173, 'latency_mean': 3.823558369874954, 'latency_p50': 3.83250892162323, 'latency_p90': 4.135563611984253}, {'batch_size': 4, 'throughput': 0.8848732311180937, 'latency_mean': 4.504704434871673, 'latency_p50': 4.480745911598206, 'latency_p90': 4.9497581958770756}, {'batch_size': 5, 'throughput': 0.945563191304131, 'latency_mean': 5.274642449617386, 'latency_p50': 5.300153374671936, 'latency_p90': 5.82371883392334}]
gpu_counts: {'NVIDIA L40S': 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: 0.76
us_pacific_date: 2025-12-06
win_ratio: 0.5123445665885745
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
Starting job with name chaiml-kimid-v3-lr2e6g32-v7-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g32-v7-mkmlizer to finish
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g32-v7-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-v7-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: Downloaded to shared memory in 40.587s
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g32 already exists in ChaiML
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpad4zj4bc, device:0
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: 
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chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: The tokenizer you are loading from '/tmp/tmpad4zj4bc' 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-v7-mkmlizer: quantized model in 278.139s
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g32 in 318.726s
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/config.json
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g32-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g32-v7/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g32-v7-mkmlizer completed after 377.71s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g32-v7-mkmlizer
Pipeline stage MKMLizer completed in 378.38s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-lr2e6g32-v7
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v7 to be ready
Inference service chaiml-kimid-v3-lr2e6g32-v7 ready after 362.2028999328613s
Pipeline stage MKMLDeployer completed in 362.73s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6895248889923096s
Received healthy response to inference request in 2.057642698287964s
Received healthy response to inference request in 2.6623475551605225s
Received healthy response to inference request in 2.4957435131073s
Received healthy response to inference request in 2.875460386276245s
5 requests
0 failed requests
5th percentile: 2.145262861251831
10th percentile: 2.232883024215698
20th percentile: 2.4081233501434327
30th percentile: 2.5290643215179442
40th percentile: 2.5957059383392336
50th percentile: 2.6623475551605225
60th percentile: 2.6732184886932373
70th percentile: 2.684089422225952
80th percentile: 2.7267119884490967
90th percentile: 2.801086187362671
95th percentile: 2.838273286819458
99th percentile: 2.8680229663848875
mean time: 2.556143808364868
Pipeline stage StressChecker completed in 14.33s
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 0.86s
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 0.63s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v7 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 0.17s
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-v3-lr2e6g32-v7-profiler
Waiting for inference service chaiml-kimid-v3-lr2e6g32-v7-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 2825.39s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g32_v7 status is now torndown due to DeploymentManager action