developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v12
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T13:16:30+00:00
num_battles: 6417
num_wins: 3245
celo_rating: 1298.92
family_friendly_score: 0.501
family_friendly_standard_error: 0.00707105366971571
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': 0.4235231241809854, 'latency_mean': 2.361080881357193, 'latency_p50': 2.3669204711914062, 'latency_p90': 2.5616600275039674}, {'batch_size': 2, 'throughput': 0.6380475585042108, 'latency_mean': 3.131592028141022, 'latency_p50': 3.1436009407043457, 'latency_p90': 3.379849338531494}, {'batch_size': 3, 'throughput': 0.7681029166020935, 'latency_mean': 3.8919135189056395, 'latency_p50': 3.8925857543945312, 'latency_p90': 4.16814603805542}, {'batch_size': 4, 'throughput': 0.8717015636535855, 'latency_mean': 4.567025148868561, 'latency_p50': 4.565162539482117, 'latency_p90': 4.954479503631592}, {'batch_size': 5, 'throughput': 0.9196945824448215, 'latency_mean': 5.3996329951286315, 'latency_p50': 5.39452052116394, 'latency_p90': 6.168293571472168}]
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: 0.5056880162069503
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-v12-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v12-mkmlizer to finish
chaiml-kimid-v1-cosine-v12-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v12-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v12-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-v12-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v12-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v12-mkmlizer: Downloaded to shared memory in 40.283s
chaiml-kimid-v1-cosine-v12-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpw5ff3xcc, device:0
chaiml-kimid-v1-cosine-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v12-mkmlizer: 
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chaiml-kimid-v1-cosine-v12-mkmlizer: The tokenizer you are loading from '/tmp/tmpw5ff3xcc' 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-v12-mkmlizer: quantized model in 276.637s
chaiml-kimid-v1-cosine-v12-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 316.920s
chaiml-kimid-v1-cosine-v12-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/config.json
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v12/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v12-mkmlizer completed after 398.14s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v12-mkmlizer
Pipeline stage MKMLizer completed in 398.62s
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-v12
Waiting for inference service chaiml-kimid-v1-cosine-v12 to be ready
Inference service chaiml-kimid-v1-cosine-v12 ready after 181.11412525177002s
Pipeline stage MKMLDeployer completed in 181.70s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.209411859512329s
Received healthy response to inference request in 2.346484661102295s
Received healthy response to inference request in 2.209857225418091s
Received healthy response to inference request in 2.641925573348999s
Received healthy response to inference request in 1.9353513717651367s
5 requests
0 failed requests
5th percentile: 1.990163469314575
10th percentile: 2.0449755668640135
20th percentile: 2.1545997619628907
30th percentile: 2.2095009326934814
40th percentile: 2.2096790790557863
50th percentile: 2.209857225418091
60th percentile: 2.2645081996917726
70th percentile: 2.319159173965454
80th percentile: 2.405572843551636
90th percentile: 2.5237492084503175
95th percentile: 2.582837390899658
99th percentile: 2.630107936859131
mean time: 2.2686061382293703
Pipeline stage StressChecker completed in 12.80s
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 0.60s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v12 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 2725.49s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v12 status is now inactive due to auto deactivation removed underperforming models