chaiml-kimid-v4a

developer_uid: zonemercy
submission_id: chaiml-kimid-v4a_v5
model_name: test
model_group: ChaiML/kimid-v4a
status: torndown
timestamp: 2025-12-12T18:28:26+00:00
num_battles: 8479
num_wins: 4346
celo_rating: 1294.43
family_friendly_score: 0.5038
family_friendly_standard_error: 0.007070863596478156
submission_type: basic
model_repo: ChaiML/kimid-v4a
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': 0.42205685453002967, 'latency_mean': 2.3692848944664, 'latency_p50': 2.373890995979309, 'latency_p90': 2.5661106824874875}, {'batch_size': 2, 'throughput': 0.6305974363012984, 'latency_mean': 3.1592193388938905, 'latency_p50': 3.144372582435608, 'latency_p90': 3.4418705224990847}, {'batch_size': 3, 'throughput': 0.755355181149953, 'latency_mean': 3.9598476874828337, 'latency_p50': 3.966387152671814, 'latency_p90': 4.399718189239501}, {'batch_size': 4, 'throughput': 0.8598984247773946, 'latency_mean': 4.64162030339241, 'latency_p50': 4.633924603462219, 'latency_p90': 5.343252658843994}, {'batch_size': 5, 'throughput': 0.9100778283417797, 'latency_mean': 5.46101343870163, 'latency_p50': 5.474252462387085, 'latency_p90': 6.126518249511719}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a
model_size: 24B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2025-12-06
win_ratio: 0.5125604434485199
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-v4a-v5-mkmlizer
Waiting for job on chaiml-kimid-v4a-v5-mkmlizer to finish
chaiml-kimid-v4a-v5-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-v5-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-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-v4a-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-kimid-v4a-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-v5-mkmlizer: Downloaded to shared memory in 39.024s
chaiml-kimid-v4a-v5-mkmlizer: Checking if ChaiML/kimid-v4a already exists in ChaiML
chaiml-kimid-v4a-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpdwib4x0c, device:0
chaiml-kimid-v4a-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-v5-mkmlizer: 
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chaiml-kimid-v4a-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmpdwib4x0c' 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-v4a-v5-mkmlizer: quantized model in 277.506s
chaiml-kimid-v4a-v5-mkmlizer: Processed model ChaiML/kimid-v4a in 316.531s
chaiml-kimid-v4a-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/config.json
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/special_tokens_map.json
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/tokenizer_config.json
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/tokenizer.json
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-v5-mkmlizer completed after 367.77s with status: succeeded
Stopping job with name chaiml-kimid-v4a-v5-mkmlizer
Pipeline stage MKMLizer completed in 368.28s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4a-v5
Waiting for inference service chaiml-kimid-v4a-v5 to be ready
Inference service chaiml-kimid-v4a-v5 ready after 211.29935789108276s
Pipeline stage MKMLDeployer completed in 211.89s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2486729621887207s
Received healthy response to inference request in 2.554420232772827s
Received healthy response to inference request in 2.7112817764282227s
Received healthy response to inference request in 2.440134286880493s
Received healthy response to inference request in 2.3907692432403564s
5 requests
0 failed requests
5th percentile: 2.277092218399048
10th percentile: 2.305511474609375
20th percentile: 2.3623499870300293
30th percentile: 2.400642251968384
40th percentile: 2.4203882694244383
50th percentile: 2.440134286880493
60th percentile: 2.4858486652374268
70th percentile: 2.5315630435943604
80th percentile: 2.5857925415039062
90th percentile: 2.6485371589660645
95th percentile: 2.6799094676971436
99th percentile: 2.705007314682007
mean time: 2.469055700302124
Pipeline stage StressChecker completed in 13.64s
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 0.65s
Shutdown handler de-registered
chaiml-kimid-v4a_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 0.11s
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-v4a-v5-profiler
Waiting for inference service chaiml-kimid-v4a-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 2656.54s
Shutdown handler de-registered
chaiml-kimid-v4a_v5 status is now torndown due to DeploymentManager action