developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine-_69251_v2
model_name: training123
model_group: ChaiML/kimid-v1_cosine-l
status: inactive
timestamp: 2025-12-04T05:18:20+00:00
num_battles: 13738
num_wins: 6998
celo_rating: 1300.92
family_friendly_score: 0.506
family_friendly_standard_error: 0.007070558676653493
submission_type: basic
model_repo: ChaiML/kimid-v1_cosine-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': 0.43126169102052364, 'latency_mean': 2.3187145912647247, 'latency_p50': 2.310741662979126, 'latency_p90': 2.5310351133346556}, {'batch_size': 2, 'throughput': 0.6387194058932968, 'latency_mean': 3.124922630786896, 'latency_p50': 3.1481940746307373, 'latency_p90': 3.339987587928772}, {'batch_size': 3, 'throughput': 0.7863454091179456, 'latency_mean': 3.8058671236038206, 'latency_p50': 3.814303398132324, 'latency_p90': 4.039795756340027}, {'batch_size': 4, 'throughput': 0.896328952287829, 'latency_mean': 4.451267486810684, 'latency_p50': 4.4223209619522095, 'latency_p90': 5.081014847755432}, {'batch_size': 5, 'throughput': 0.958257611280469, 'latency_mean': 5.19005647778511, 'latency_p50': 5.189864158630371, 'latency_p90': 5.896087694168091}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v1_cosine-lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-12-03
win_ratio: 0.5093900131023439
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:', 'User:', '</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-v1-cosine-69251-v2-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-69251-v2-mkmlizer to finish
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-69251-v2-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-v1-cosine-69251-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: Downloaded to shared memory in 74.810s
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: Checking if ChaiML/kimid-v1_cosine-lr5e6g32 already exists in ChaiML
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpzxneizuk, device:0
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: 
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chaiml-kimid-v1-cosine-69251-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpzxneizuk' 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-v1-cosine-69251-v2-mkmlizer: quantized model in 276.696s
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: Processed model ChaiML/kimid-v1_cosine-lr5e6g32 in 351.506s
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia/config.json
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-69251-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-69251-v2-mkmlizer completed after 422.26s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-69251-v2-mkmlizer
Pipeline stage MKMLizer completed in 422.99s
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-v1-cosine-69251-v2
Waiting for inference service chaiml-kimid-v1-cosine-69251-v2 to be ready
Inference service chaiml-kimid-v1-cosine-69251-v2 ready after 170.58097410202026s
Pipeline stage MKMLDeployer completed in 171.14s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4135818481445312s
Received healthy response to inference request in 2.518202304840088s
Received healthy response to inference request in 2.175870895385742s
Received healthy response to inference request in 2.2024478912353516s
Received healthy response to inference request in 2.2476789951324463s
5 requests
0 failed requests
5th percentile: 2.181186294555664
10th percentile: 2.186501693725586
20th percentile: 2.1971324920654296
30th percentile: 2.2114941120147704
40th percentile: 2.2295865535736086
50th percentile: 2.2476789951324463
60th percentile: 2.3140401363372805
70th percentile: 2.380401277542114
80th percentile: 2.4345059394836426
90th percentile: 2.4763541221618652
95th percentile: 2.4972782135009766
99th percentile: 2.5140174865722655
mean time: 2.3115563869476317
Pipeline stage StressChecker completed in 12.91s
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 0.95s
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 0.72s
Shutdown handler de-registered
chaiml-kimid-v1-cosine-_69251_v2 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 2438.29s
Shutdown handler de-registered