developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine-_69251_v3
model_name: training123
model_group: ChaiML/kimid-v1_cosine-l
status: inactive
timestamp: 2025-12-04T06:15:08+00:00
num_battles: 19462
num_wins: 10014
celo_rating: 1302.49
family_friendly_score: 0.499
family_friendly_standard_error: 0.00707105366971571
submission_type: basic
model_repo: ChaiML/kimid-v1_cosine-lr5e6g32
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': 0.4308155726154511, 'latency_mean': 2.3211149168014527, 'latency_p50': 2.3320271968841553, 'latency_p90': 2.5493112325668337}, {'batch_size': 2, 'throughput': 0.6482546649647418, 'latency_mean': 3.082707769870758, 'latency_p50': 3.074957489967346, 'latency_p90': 3.3398375034332277}, {'batch_size': 3, 'throughput': 0.788703438297677, 'latency_mean': 3.792451651096344, 'latency_p50': 3.7935794591903687, 'latency_p90': 4.09277617931366}, {'batch_size': 4, 'throughput': 0.8877592093347131, 'latency_mean': 4.490129663944244, 'latency_p50': 4.529203534126282, 'latency_p90': 5.174275875091553}, {'batch_size': 5, 'throughput': 0.9502852620846043, 'latency_mean': 5.24269471168518, 'latency_p50': 5.267325758934021, 'latency_p90': 5.919279313087463}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v1_cosine-lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.78
us_pacific_date: 2025-12-03
win_ratio: 0.5145411571267084
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-69251-v3-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-69251-v3-mkmlizer to finish
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-69251-v3-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-69251-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: Downloaded to shared memory in 52.490s
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: Checking if ChaiML/kimid-v1_cosine-lr5e6g32 already exists in ChaiML
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpdnk0d4la, device:0
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: 
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chaiml-kimid-v1-cosine-69251-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpdnk0d4la' 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-69251-v3-mkmlizer: quantized model in 276.868s
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: Processed model ChaiML/kimid-v1_cosine-lr5e6g32 in 329.358s
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/config.json
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-69251-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-69251-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-69251-v3-mkmlizer completed after 409.84s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-69251-v3-mkmlizer
Pipeline stage MKMLizer completed in 410.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-69251-v3
Waiting for inference service chaiml-kimid-v1-cosine-69251-v3 to be ready
Inference service chaiml-kimid-v1-cosine-69251-v3 ready after 180.73208117485046s
Pipeline stage MKMLDeployer completed in 181.23s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1912620067596436s
Received healthy response to inference request in 2.443491220474243s
Received healthy response to inference request in 2.0391716957092285s
Received healthy response to inference request in 2.175198793411255s
Received healthy response to inference request in 2.330594778060913s
5 requests
0 failed requests
5th percentile: 2.066377115249634
10th percentile: 2.093582534790039
20th percentile: 2.1479933738708494
30th percentile: 2.178411436080933
40th percentile: 2.184836721420288
50th percentile: 2.1912620067596436
60th percentile: 2.2469951152801513
70th percentile: 2.302728223800659
80th percentile: 2.353174066543579
90th percentile: 2.398332643508911
95th percentile: 2.420911931991577
99th percentile: 2.4389753627777098
mean time: 2.2359436988830566
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 0.73s
Shutdown handler de-registered
chaiml-kimid-v1-cosine-_69251_v3 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 2591.15s
Shutdown handler de-registered