developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v2
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T06:11:22+00:00
num_battles: 11909
num_wins: 6150
celo_rating: 1305.17
family_friendly_score: 0.505
family_friendly_standard_error: 0.007070714249635605
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': 0.42911608668617335, 'latency_mean': 2.3303094828128814, 'latency_p50': 2.332118272781372, 'latency_p90': 2.547941708564758}, {'batch_size': 2, 'throughput': 0.6407290243112972, 'latency_mean': 3.1151800847053526, 'latency_p50': 3.132927417755127, 'latency_p90': 3.350472068786621}, {'batch_size': 3, 'throughput': 0.7845409058252438, 'latency_mean': 3.8129284143447877, 'latency_p50': 3.812500238418579, 'latency_p90': 4.15648443698883}, {'batch_size': 4, 'throughput': 0.8851439317197883, 'latency_mean': 4.503064621686935, 'latency_p50': 4.505458831787109, 'latency_p90': 4.841064977645874}, {'batch_size': 5, 'throughput': 0.9494499674050332, 'latency_mean': 5.235919992923737, 'latency_p50': 5.245853781700134, 'latency_p90': 5.8690290451049805}]
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: 0.77
us_pacific_date: 2025-12-03
win_ratio: 0.516416155848518
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>', 'You:', 'User:'], '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
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run pipeline %s
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v1-cosine-v2-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v2-mkmlizer to finish
chaiml-kimid-v1-cosine-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-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-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v2-mkmlizer: Downloaded to shared memory in 41.899s
chaiml-kimid-v1-cosine-v2-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0pul4vk0, device:0
chaiml-kimid-v1-cosine-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v2-mkmlizer: 
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chaiml-kimid-v1-cosine-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmp0pul4vk0' 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-v2-mkmlizer: quantized model in 276.453s
chaiml-kimid-v1-cosine-v2-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 318.353s
chaiml-kimid-v1-cosine-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/config.json
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v2-mkmlizer completed after 395.28s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v2-mkmlizer
Pipeline stage MKMLizer completed in 396.04s
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-v2
Waiting for inference service chaiml-kimid-v1-cosine-v2 to be ready
Inference service chaiml-kimid-v1-cosine-v2 ready after 180.73244667053223s
Pipeline stage MKMLDeployer completed in 181.28s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.491676092147827s
Received healthy response to inference request in 2.6785147190093994s
Received healthy response to inference request in 2.3427648544311523s
Received healthy response to inference request in 2.388315200805664s
Received healthy response to inference request in 2.1165804862976074s
5 requests
0 failed requests
5th percentile: 2.1618173599243162
10th percentile: 2.2070542335510255
20th percentile: 2.2975279808044435
30th percentile: 2.3518749237060548
40th percentile: 2.370095062255859
50th percentile: 2.388315200805664
60th percentile: 2.4296595573425295
70th percentile: 2.4710039138793944
80th percentile: 2.5290438175201415
90th percentile: 2.6037792682647707
95th percentile: 2.641146993637085
99th percentile: 2.6710411739349365
mean time: 2.40357027053833
Pipeline stage StressChecker completed in 13.37s
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 0.64s
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 0.84s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_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 2394.72s
Shutdown handler de-registered