developer_uid: chai_backend_admin
submission_id: chaiml-kimid-v4a-lr5e6g32_v1
model_name: training123
model_group: ChaiML/kimid-v4a_lr5e6g3
status: inactive
timestamp: 2025-12-07T00:08:35+00:00
num_battles: 7631
num_wins: 4014
celo_rating: 1311.78
family_friendly_score: 0.4992
family_friendly_standard_error: 0.007071058760892883
submission_type: basic
model_repo: ChaiML/kimid-v4a_lr5e6g32
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': 0.34989916793701836, 'latency_mean': 2.8578887021541597, 'latency_p50': 2.8519845008850098, 'latency_p90': 3.1092467308044434}, {'batch_size': 2, 'throughput': 0.5306291651093638, 'latency_mean': 3.7551957416534423, 'latency_p50': 3.7828238010406494, 'latency_p90': 4.042978191375733}, {'batch_size': 3, 'throughput': 0.6653203709322104, 'latency_mean': 4.500262982845307, 'latency_p50': 4.469743609428406, 'latency_p90': 4.8601655721664425}, {'batch_size': 4, 'throughput': 0.760017305466827, 'latency_mean': 5.234053336381912, 'latency_p50': 5.235972881317139, 'latency_p90': 5.8802567481994625}, {'batch_size': 5, 'throughput': 0.8260938377831883, 'latency_mean': 6.026392310857773, 'latency_p50': 6.036770582199097, 'latency_p90': 6.793025851249695}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.52
us_pacific_date: 2025-12-06
win_ratio: 0.5260123181758616
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-lr5e6g32-v1-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer to finish
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr5e6g32-v1-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-lr5e6g32-v1-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
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chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║                                                                     ║
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chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: Downloaded to shared memory in 65.823s
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: Checking if ChaiML/kimid-v4a_lr5e6g32 already exists in ChaiML
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2i5zmofc, device:0
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmp2i5zmofc' 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-lr5e6g32-v1-mkmlizer: quantized model in 43.781s
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: Processed model ChaiML/kimid-v4a_lr5e6g32 in 109.605s
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v1/nvidia
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v1/nvidia/config.json
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v1/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v1/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v1/nvidia/tokenizer.json
Job chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer completed after 166.9s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr5e6g32-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.42s
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Inference service chaiml-kimid-v4a-lr5e6g32-v1 ready after 190.80072927474976s
Pipeline stage MKMLDeployer completed in 191.38s
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Received healthy response to inference request in 2.9045825004577637s
Received healthy response to inference request in 3.4366579055786133s
Received healthy response to inference request in 2.7375848293304443s
Received healthy response to inference request in 2.7187564373016357s
Received healthy response to inference request in 2.566992998123169s
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70th percentile: 2.8711829662322996
80th percentile: 3.010997581481934
90th percentile: 3.2238277435302733
95th percentile: 3.330242824554443
99th percentile: 3.4153748893737794
mean time: 2.872914934158325
Pipeline stage StressChecker completed in 15.62s
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