developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v24
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-05T04:17:05+00:00
num_battles: 23742
num_wins: 12154
celo_rating: 1255.85
family_friendly_score: 0.51
family_friendly_standard_error: 0.007069653456853455
submission_type: basic
model_repo: ChaiML/kimid-v1_cosine
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': 0.4266808602811809, 'latency_mean': 2.34359410405159, 'latency_p50': 2.3405474424362183, 'latency_p90': 2.543402624130249}, {'batch_size': 2, 'throughput': 0.6345253660501419, 'latency_mean': 3.1458335196971894, 'latency_p50': 3.13776695728302, 'latency_p90': 3.373727536201477}, {'batch_size': 3, 'throughput': 0.7772029534321495, 'latency_mean': 3.85279993891716, 'latency_p50': 3.8429805040359497, 'latency_p90': 4.106158185005188}, {'batch_size': 4, 'throughput': 0.8724337411354838, 'latency_mean': 4.562895085811615, 'latency_p50': 4.556377291679382, 'latency_p90': 5.267800784111023}, {'batch_size': 5, 'throughput': 0.9374371109577817, 'latency_mean': 5.318679393529892, 'latency_p50': 5.316056609153748, 'latency_p90': 5.951906847953796}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v1_cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.75
us_pacific_date: 2025-12-04
win_ratio: 0.5119198045657485
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-v1-cosine-v24-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v24-mkmlizer to finish
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
chaiml-kimid-v1-cosine-v24-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v24-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v24-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-v24-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v24-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v24-mkmlizer: Downloaded to shared memory in 57.731s
chaiml-kimid-v1-cosine-v24-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpit15otmw, device:0
chaiml-kimid-v1-cosine-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v24-mkmlizer: 
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chaiml-kimid-v1-cosine-v24-mkmlizer: The tokenizer you are loading from '/tmp/tmpit15otmw' 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-v24-mkmlizer: quantized model in 276.311s
chaiml-kimid-v1-cosine-v24-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 334.042s
chaiml-kimid-v1-cosine-v24-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v24-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v24-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/config.json
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v24/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v24-mkmlizer completed after 399.66s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v24-mkmlizer
Pipeline stage MKMLizer completed in 400.18s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v24
Waiting for inference service chaiml-kimid-v1-cosine-v24 to be ready
Inference service chaiml-kimid-v1-cosine-v24 ready after 181.36442184448242s
Pipeline stage MKMLDeployer completed in 181.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2089126110076904s
Received healthy response to inference request in 2.3694064617156982s
Received healthy response to inference request in 2.3338918685913086s
Received healthy response to inference request in 2.3783984184265137s
Received healthy response to inference request in 1.8574802875518799s
5 requests
0 failed requests
5th percentile: 1.927766752243042
10th percentile: 1.998053216934204
20th percentile: 2.138626146316528
30th percentile: 2.233908462524414
40th percentile: 2.2839001655578612
50th percentile: 2.3338918685913086
60th percentile: 2.3480977058410644
70th percentile: 2.36230354309082
80th percentile: 2.3712048530578613
90th percentile: 2.3748016357421875
95th percentile: 2.3766000270843506
99th percentile: 2.378038740158081
mean time: 2.2296179294586183
Pipeline stage StressChecker completed in 13.08s
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 0.72s
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 0.67s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v24 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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-v1-cosine-v24-profiler
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 2967.44s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v24 status is now inactive due to auto deactivation removed underperforming models