developer_uid: zonemercy
submission_id: chaiml-kimid-v4a-lr2e6g32_v4
model_name: test
model_group: ChaiML/kimid-v4a_lr2e6g3
status: torndown
timestamp: 2025-12-12T18:28:19+00:00
num_battles: 7442
num_wins: 3800
celo_rating: 1297.55
family_friendly_score: 0.5102
family_friendly_standard_error: 0.007069596310964298
submission_type: basic
model_repo: ChaiML/kimid-v4a_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': 0.42649271916597153, 'latency_mean': 2.344627512693405, 'latency_p50': 2.337411642074585, 'latency_p90': 2.5451589107513426}, {'batch_size': 2, 'throughput': 0.6326830727809265, 'latency_mean': 3.157924164533615, 'latency_p50': 3.166992425918579, 'latency_p90': 3.404207134246826}, {'batch_size': 3, 'throughput': 0.7650110203714937, 'latency_mean': 3.9092289304733274, 'latency_p50': 3.9137964248657227, 'latency_p90': 4.38403661251068}, {'batch_size': 4, 'throughput': 0.8630045137389265, 'latency_mean': 4.620740855932236, 'latency_p50': 4.620383620262146, 'latency_p90': 5.218959617614746}, {'batch_size': 5, 'throughput': 0.925611933745735, 'latency_mean': 5.373346531391144, 'latency_p50': 5.35597288608551, 'latency_p90': 5.980812764167785}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-07
win_ratio: 0.5106154259607633
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:', '</s>', '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-v4a-lr2e6g32-v4-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer to finish
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr2e6g32-v4-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-lr2e6g32-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: Downloaded to shared memory in 37.799s
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: Checking if ChaiML/kimid-v4a_lr2e6g32 already exists in ChaiML
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpxqnm9qun, device:0
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: 
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chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmpxqnm9qun' 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-lr2e6g32-v4-mkmlizer: quantized model in 290.902s
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: Processed model ChaiML/kimid-v4a_lr2e6g32 in 328.702s
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/config.json
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/tokenizer.json
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer completed after 409.62s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr2e6g32-v4-mkmlizer
Pipeline stage MKMLizer completed in 410.13s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4a-lr2e6g32-v4
Waiting for inference service chaiml-kimid-v4a-lr2e6g32-v4 to be ready
Inference service chaiml-kimid-v4a-lr2e6g32-v4 ready after 213.15120387077332s
Pipeline stage MKMLDeployer completed in 214.47s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.9024534225463867s
Received healthy response to inference request in 2.6203174591064453s
Received healthy response to inference request in 3.0374464988708496s
Received healthy response to inference request in 2.3895480632781982s
Received healthy response to inference request in 2.6067183017730713s
5 requests
0 failed requests
5th percentile: 2.4329821109771728
10th percentile: 2.4764161586761473
20th percentile: 2.5632842540740968
30th percentile: 2.6094381332397463
40th percentile: 2.614877796173096
50th percentile: 2.6203174591064453
60th percentile: 2.787169075012207
70th percentile: 2.9540206909179685
80th percentile: 3.210447883605957
90th percentile: 3.556450653076172
95th percentile: 3.729452037811279
99th percentile: 3.867853145599365
mean time: 2.91129674911499
Pipeline stage StressChecker completed in 16.93s
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 0.64s
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-v4a-lr2e6g32_v4 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v4a-lr2e6g32-v4-profiler
Waiting for inference service chaiml-kimid-v4a-lr2e6g32-v4-profiler to be ready
Inference service chaiml-kimid-v4a-lr2e6g32-v4-profiler ready after 201.7396731376648s
Pipeline stage MKMLProfilerDeployer completed in 202.51s
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-lr286e626f893091bae0067a8a4b4cab0d9-deplo947t8:/code/chaiverse_profiler_1765147301 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-kimid-v4a-lr286e626f893091bae0067a8a4b4cab0d9-deplo947t8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1765147301 && 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_1765147301/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 2677.27s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g32_v4 status is now torndown due to DeploymentManager action