developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v22
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-05T02:26:55+00:00
num_battles: 15055
num_wins: 7720
celo_rating: 1255.85
family_friendly_score: 0.5054000000000001
family_friendly_standard_error: 0.007070655415164849
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': 0.4255610769196763, 'latency_mean': 2.3497758984565733, 'latency_p50': 2.3350746631622314, 'latency_p90': 2.565762114524841}, {'batch_size': 2, 'throughput': 0.6345756908386857, 'latency_mean': 3.149225243330002, 'latency_p50': 3.1611815690994263, 'latency_p90': 3.403875708580017}, {'batch_size': 3, 'throughput': 0.7687745664175287, 'latency_mean': 3.879664993286133, 'latency_p50': 3.8789323568344116, 'latency_p90': 4.298635911941528}, {'batch_size': 4, 'throughput': 0.8679404728903238, 'latency_mean': 4.595316913127899, 'latency_p50': 4.613615989685059, 'latency_p90': 5.2276006698608395}, {'batch_size': 5, 'throughput': 0.9285719834666746, 'latency_mean': 5.3623558151721955, 'latency_p50': 5.367746353149414, 'latency_p90': 5.958580112457275}]
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: 0.74
us_pacific_date: 2025-12-04
win_ratio: 0.5127864496844902
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:', '</s>', '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v1-cosine-v22-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v22-mkmlizer to finish
chaiml-kimid-v1-cosine-v22-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v22-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v22-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-v22-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v22-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v22-mkmlizer: Downloaded to shared memory in 45.601s
chaiml-kimid-v1-cosine-v22-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpcn08p4hr, device:0
chaiml-kimid-v1-cosine-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v22-mkmlizer: 
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chaiml-kimid-v1-cosine-v22-mkmlizer: The tokenizer you are loading from '/tmp/tmpcn08p4hr' 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-v22-mkmlizer: quantized model in 280.226s
chaiml-kimid-v1-cosine-v22-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 325.828s
chaiml-kimid-v1-cosine-v22-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia
chaiml-kimid-v1-cosine-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia/config.json
chaiml-kimid-v1-cosine-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v22/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v22-mkmlizer completed after 394.91s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v22-mkmlizer
Pipeline stage MKMLizer completed in 395.49s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.40s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v22
Waiting for inference service chaiml-kimid-v1-cosine-v22 to be ready
Inference service chaiml-kimid-v1-cosine-v22 ready after 273.25405716896057s
Pipeline stage MKMLDeployer completed in 274.75s
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 2.2570295333862305s
Received healthy response to inference request in 2.4160945415496826s
Received healthy response to inference request in 2.600615978240967s
Received healthy response to inference request in 2.2233896255493164s
5 requests
1 failed requests
5th percentile: 2.230117607116699
10th percentile: 2.236845588684082
20th percentile: 2.250301551818848
30th percentile: 2.288842535018921
40th percentile: 2.3524685382843016
50th percentile: 2.4160945415496826
60th percentile: 2.489903116226196
70th percentile: 2.56371169090271
80th percentile: 6.110605621337894
90th percentile: 13.130584907531741
95th percentile: 16.64057455062866
99th percentile: 19.4485662651062
mean time: 5.929538774490356
%s, retrying in %s seconds...
Received healthy response to inference request in 2.3702898025512695s
Received healthy response to inference request in 2.3585164546966553s
Received healthy response to inference request in 2.133331298828125s
Received healthy response to inference request in 2.374849557876587s
Received healthy response to inference request in 1.9834520816802979s
5 requests
0 failed requests
5th percentile: 2.0134279251098635
10th percentile: 2.0434037685394286
20th percentile: 2.1033554553985594
30th percentile: 2.178368330001831
40th percentile: 2.268442392349243
50th percentile: 2.3585164546966553
60th percentile: 2.363225793838501
70th percentile: 2.367935132980347
80th percentile: 2.371201753616333
90th percentile: 2.37302565574646
95th percentile: 2.3739376068115234
99th percentile: 2.374667167663574
mean time: 2.244087839126587
Pipeline stage StressChecker completed in 43.90s
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 1.60s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v22 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 2914.07s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v22 status is now inactive due to auto deactivation removed underperforming models