developer_uid: zonemercy
submission_id: chaiml-kimid-v4-lr2e6g32_v3
model_name: test
model_group: ChaiML/kimid-v4_lr2e6g32
status: torndown
timestamp: 2025-12-12T18:28:12+00:00
num_battles: 6501
num_wins: 3387
celo_rating: 1309.1
family_friendly_score: 0.513
family_friendly_standard_error: 0.007068677386894949
submission_type: basic
model_repo: ChaiML/kimid-v4_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': 0.42333119076056874, 'latency_mean': 2.3621483778953554, 'latency_p50': 2.3612520694732666, 'latency_p90': 2.565576410293579}, {'batch_size': 2, 'throughput': 0.6354443023256396, 'latency_mean': 3.1423964643478395, 'latency_p50': 3.1362820863723755, 'latency_p90': 3.4133463382720945}, {'batch_size': 3, 'throughput': 0.7783247459213453, 'latency_mean': 3.8400839018821715, 'latency_p50': 3.8618061542510986, 'latency_p90': 4.181267094612122}, {'batch_size': 4, 'throughput': 0.874548005584312, 'latency_mean': 4.549631547927857, 'latency_p50': 4.53947639465332, 'latency_p90': 5.178456354141235}, {'batch_size': 5, 'throughput': 0.9404777896845381, 'latency_mean': 5.287996737957001, 'latency_p50': 5.282139420509338, 'latency_p90': 5.933511447906494}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.76
us_pacific_date: 2025-12-06
win_ratio: 0.5209967697277342
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-v4-lr2e6g32-v3-mkmlizer
Waiting for job on chaiml-kimid-v4-lr2e6g32-v3-mkmlizer to finish
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-lr2e6g32-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-v4-lr2e6g32-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: Downloaded to shared memory in 38.089s
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: Checking if ChaiML/kimid-v4_lr2e6g32 already exists in ChaiML
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp9hcis31s, device:0
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: 
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chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmp9hcis31s' 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-v4-lr2e6g32-v3-mkmlizer: quantized model in 276.267s
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: Processed model ChaiML/kimid-v4_lr2e6g32 in 314.356s
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/config.json
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/special_tokens_map.json
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/tokenizer.json
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-lr2e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g32-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-lr2e6g32-v3-mkmlizer completed after 379.65s with status: succeeded
Stopping job with name chaiml-kimid-v4-lr2e6g32-v3-mkmlizer
Pipeline stage MKMLizer completed in 380.13s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.83s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4-lr2e6g32-v3
Waiting for inference service chaiml-kimid-v4-lr2e6g32-v3 to be ready
Inference service chaiml-kimid-v4-lr2e6g32-v3 ready after 201.701913356781s
Pipeline stage MKMLDeployer completed in 202.25s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.216932773590088s
Received healthy response to inference request in 1.8822734355926514s
Received healthy response to inference request in 2.1424784660339355s
Received healthy response to inference request in 2.36647367477417s
5 requests
1 failed requests
5th percentile: 1.9343144416809082
10th percentile: 1.986355447769165
20th percentile: 2.0904374599456785
30th percentile: 2.157369327545166
40th percentile: 2.187151050567627
50th percentile: 2.216932773590088
60th percentile: 2.2767491340637207
70th percentile: 2.3365654945373535
80th percentile: 5.922088670730594
90th percentile: 13.033318662643435
95th percentile: 16.58893365859985
99th percentile: 19.43342565536499
mean time: 5.750541400909424
%s, retrying in %s seconds...
Received healthy response to inference request in 2.2068464756011963s
Received healthy response to inference request in 2.2493252754211426s
Received healthy response to inference request in 1.8484549522399902s
Received healthy response to inference request in 2.1539313793182373s
Received healthy response to inference request in 1.9602458477020264s
5 requests
0 failed requests
5th percentile: 1.8708131313323975
10th percentile: 1.8931713104248047
20th percentile: 1.9378876686096191
30th percentile: 1.9989829540252686
40th percentile: 2.076457166671753
50th percentile: 2.1539313793182373
60th percentile: 2.175097417831421
70th percentile: 2.1962634563446044
80th percentile: 2.2153422355651857
90th percentile: 2.232333755493164
95th percentile: 2.240829515457153
99th percentile: 2.247626123428345
mean time: 2.0837607860565184
Pipeline stage StressChecker completed in 42.54s
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 0.96s
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 0.69s
Shutdown handler de-registered
chaiml-kimid-v4-lr2e6g32_v3 status is now deployed due to DeploymentManager action
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 2411.23s
Shutdown handler de-registered
chaiml-kimid-v4-lr2e6g32_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v4-lr2e6g32_v3 status is now torndown due to DeploymentManager action