developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v14
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T14:50:05+00:00
num_battles: 35472
num_wins: 18188
celo_rating: 1302.55
family_friendly_score: 0.5056
family_friendly_standard_error: 0.007070624300583366
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': 0.4281111747573268, 'latency_mean': 2.3357637441158294, 'latency_p50': 2.3181296586990356, 'latency_p90': 2.5518845558166503}, {'batch_size': 2, 'throughput': 0.6282560753113774, 'latency_mean': 3.1782557308673858, 'latency_p50': 3.1981743574142456, 'latency_p90': 3.3851799726486207}, {'batch_size': 3, 'throughput': 0.7758266088170344, 'latency_mean': 3.8551175343990325, 'latency_p50': 3.86799418926239, 'latency_p90': 4.1193389892578125}, {'batch_size': 4, 'throughput': 0.872937506040424, 'latency_mean': 4.5704559242725376, 'latency_p50': 4.511647939682007, 'latency_p90': 5.194417643547058}, {'batch_size': 5, 'throughput': 0.9296254563376032, 'latency_mean': 5.353110362291336, 'latency_p50': 5.379270076751709, 'latency_p90': 6.041831064224243}]
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: 0.5127424447451511
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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v1-cosine-v14-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v14-mkmlizer to finish
chaiml-kimid-v1-cosine-v14-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v14-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v14-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-v14-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v14-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v14-mkmlizer: Downloaded to shared memory in 44.687s
chaiml-kimid-v1-cosine-v14-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v14-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqukyiyo0, device:0
chaiml-kimid-v1-cosine-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v14-mkmlizer: 
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chaiml-kimid-v1-cosine-v14-mkmlizer: The tokenizer you are loading from '/tmp/tmpqukyiyo0' 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-v14-mkmlizer: quantized model in 276.352s
chaiml-kimid-v1-cosine-v14-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 321.039s
chaiml-kimid-v1-cosine-v14-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/config.json
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v14/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v14-mkmlizer completed after 387.72s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v14-mkmlizer
Pipeline stage MKMLizer completed in 388.87s
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-v14
Waiting for inference service chaiml-kimid-v1-cosine-v14 to be ready
Inference service chaiml-kimid-v1-cosine-v14 ready after 181.13034224510193s
Pipeline stage MKMLDeployer completed in 181.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.603334426879883s
Received healthy response to inference request in 2.8894314765930176s
Received healthy response to inference request in 2.2526822090148926s
Received healthy response to inference request in 2.148236036300659s
Received healthy response to inference request in 1.8590824604034424s
5 requests
0 failed requests
5th percentile: 1.9169131755828857
10th percentile: 1.9747438907623291
20th percentile: 2.090405321121216
30th percentile: 2.169125270843506
40th percentile: 2.2109037399291993
50th percentile: 2.2526822090148926
60th percentile: 2.392943096160889
70th percentile: 2.5332039833068847
80th percentile: 2.6605538368225097
90th percentile: 2.774992656707764
95th percentile: 2.8322120666503907
99th percentile: 2.8779875946044924
mean time: 2.3505533218383787
Pipeline stage StressChecker completed in 13.47s
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 0.65s
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_v14 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 4439.44s
Shutdown handler de-registered