developer_uid: zonemercy
submission_id: chaiml-kimid-v4a-lr2e6g16_v7
model_name: test
model_group: ChaiML/kimid-v4a_lr2e6g1
status: torndown
timestamp: 2025-12-12T18:28:19+00:00
num_battles: 8885
num_wins: 4553
celo_rating: 1301.0
family_friendly_score: 0.513
family_friendly_standard_error: 0.007068677386894949
submission_type: basic
model_repo: ChaiML/kimid-v4a_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': 0.42522447144070985, 'latency_mean': 2.351636859178543, 'latency_p50': 2.3516937494277954, 'latency_p90': 2.5594481945037844}, {'batch_size': 2, 'throughput': 0.6302111218918051, 'latency_mean': 3.1678978073596955, 'latency_p50': 3.1740957498550415, 'latency_p90': 3.3802191734313967}, {'batch_size': 3, 'throughput': 0.76974508266864, 'latency_mean': 3.885292567014694, 'latency_p50': 3.8888120651245117, 'latency_p90': 4.121132445335388}, {'batch_size': 4, 'throughput': 0.8738195957071025, 'latency_mean': 4.562792807817459, 'latency_p50': 4.551060914993286, 'latency_p90': 5.343460512161255}, {'batch_size': 5, 'throughput': 0.9281785462314869, 'latency_mean': 5.3548341453075405, 'latency_p50': 5.347291946411133, 'latency_p90': 6.174794864654541}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-08
win_ratio: 0.5124366910523354
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': ['User:', '</s>', '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-lr2e6g16-v7-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer to finish
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr2e6g16-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-v4a-lr2e6g16-v7-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: Downloaded to shared memory in 36.036s
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: Checking if ChaiML/kimid-v4a_lr2e6g16 already exists in ChaiML
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpand39qrj, device:0
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: 
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chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: The tokenizer you are loading from '/tmp/tmpand39qrj' 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-lr2e6g16-v7-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/config.json
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/tokenizer.json
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v7/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer completed after 368.01s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr2e6g16-v7-mkmlizer
Pipeline stage MKMLizer completed in 368.53s
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-v4a-lr2e6g16-v7
Waiting for inference service chaiml-kimid-v4a-lr2e6g16-v7 to be ready
Inference service chaiml-kimid-v4a-lr2e6g16-v7 ready after 221.24371910095215s
Pipeline stage MKMLDeployer completed in 221.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1994853019714355s
Received healthy response to inference request in 2.36470103263855s
Received healthy response to inference request in 2.6292853355407715s
Received healthy response to inference request in 2.4957101345062256s
Received healthy response to inference request in 2.5170018672943115s
5 requests
0 failed requests
5th percentile: 2.2325284481048584
10th percentile: 2.2655715942382812
20th percentile: 2.331657886505127
30th percentile: 2.390902853012085
40th percentile: 2.443306493759155
50th percentile: 2.4957101345062256
60th percentile: 2.50422682762146
70th percentile: 2.512743520736694
80th percentile: 2.5394585609436033
90th percentile: 2.5843719482421874
95th percentile: 2.6068286418914797
99th percentile: 2.6247939968109133
mean time: 2.441236734390259
Pipeline stage StressChecker completed in 13.83s
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 0.72s
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 0.87s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g16_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 0.11s
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-lr2e6g16-v7-profiler
Waiting for inference service chaiml-kimid-v4a-lr2e6g16-v7-profiler to be ready
Inference service chaiml-kimid-v4a-lr2e6g16-v7-profiler ready after 212.0369610786438s
Pipeline stage MKMLProfilerDeployer completed in 212.77s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-kimid-v4a-lr2659a75f95127ba02274bf5e28d00a0f3-deplohxkfn:/code/chaiverse_profiler_1765215929 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-kimid-v4a-lr2659a75f95127ba02274bf5e28d00a0f3-deplohxkfn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1765215929 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 2048 --output_tokens 72 --summary /code/chaiverse_profiler_1765215929/summary.json'
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 2647.64s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g16_v7 status is now torndown due to DeploymentManager action