developer_uid: zonemercy
submission_id: chaiml-kimid-v4a-lr2e6g16_v3
model_name: test
model_group: ChaiML/kimid-v4a_lr2e6g1
status: torndown
timestamp: 2025-12-12T18:28:17+00:00
num_battles: 6625
num_wins: 3400
celo_rating: 1302.62
family_friendly_score: 0.505
family_friendly_standard_error: 0.007070714249635605
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': 0.42932366498549196, 'latency_mean': 2.3291697263717652, 'latency_p50': 2.3132050037384033, 'latency_p90': 2.528239369392395}, {'batch_size': 2, 'throughput': 0.643541771654646, 'latency_mean': 3.10747101187706, 'latency_p50': 3.1110148429870605, 'latency_p90': 3.4047141790390016}, {'batch_size': 3, 'throughput': 0.7791328272905462, 'latency_mean': 3.8418089365959167, 'latency_p50': 3.8731162548065186, 'latency_p90': 4.156785583496093}, {'batch_size': 4, 'throughput': 0.8820479751961692, 'latency_mean': 4.518017374277115, 'latency_p50': 4.530591011047363, 'latency_p90': 4.947495055198669}, {'batch_size': 5, 'throughput': 0.9460624588360002, 'latency_mean': 5.255027703046799, 'latency_p50': 5.214547514915466, 'latency_p90': 6.031089043617248}]
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: 0.76
us_pacific_date: 2025-12-06
win_ratio: 0.5132075471698113
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:', 'You:', '</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-v4a-lr2e6g16-v3-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer to finish
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr2e6g16-v3-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-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: Downloaded to shared memory in 34.967s
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: Checking if ChaiML/kimid-v4a_lr2e6g16 already exists in ChaiML
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp_qtcc7kc, device:0
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: 
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chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmp_qtcc7kc' 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-v3-mkmlizer: quantized model in 275.333s
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: Processed model ChaiML/kimid-v4a_lr2e6g16 in 310.301s
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/config.json
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/tokenizer.json
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g16-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer completed after 418.44s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr2e6g16-v3-mkmlizer
Pipeline stage MKMLizer completed in 418.94s
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-lr2e6g16-v3
Waiting for inference service chaiml-kimid-v4a-lr2e6g16-v3 to be ready
Inference service chaiml-kimid-v4a-lr2e6g16-v3 ready after 210.8167040348053s
Pipeline stage MKMLDeployer completed in 211.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.201085090637207s
Received healthy response to inference request in 2.615856409072876s
Received healthy response to inference request in 2.1107306480407715s
Received healthy response to inference request in 2.3528025150299072s
Received healthy response to inference request in 2.143791913986206s
5 requests
0 failed requests
5th percentile: 2.1173429012298586
10th percentile: 2.1239551544189452
20th percentile: 2.137179660797119
30th percentile: 2.1552505493164062
40th percentile: 2.1781678199768066
50th percentile: 2.201085090637207
60th percentile: 2.261772060394287
70th percentile: 2.322459030151367
80th percentile: 2.405413293838501
90th percentile: 2.5106348514556887
95th percentile: 2.5632456302642823
99th percentile: 2.6053342533111574
mean time: 2.2848533153533936
Pipeline stage StressChecker completed in 14.36s
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 1.05s
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 0.62s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g16_v3 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-v3-profiler
Waiting for inference service chaiml-kimid-v4a-lr2e6g16-v3-profiler to be ready
Inference service chaiml-kimid-v4a-lr2e6g16-v3-profiler ready after 201.51212859153748s
Pipeline stage MKMLProfilerDeployer completed in 202.20s
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-lr23bd46656c4ab00f8d057f278f0a658dd-deplo44xpp:/code/chaiverse_profiler_1765090429 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-kimid-v4a-lr23bd46656c4ab00f8d057f278f0a658dd-deplo44xpp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1765090429 && 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_1765090429/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 2532.71s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g16_v3 status is now torndown due to DeploymentManager action