developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v29
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-05T11:46:42+00:00
num_battles: 28251
num_wins: 14202
celo_rating: 1255.85
family_friendly_score: 0.5144
family_friendly_standard_error: 0.007068134690284276
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': 0.42509707019959037, 'latency_mean': 2.352341414690018, 'latency_p50': 2.340882897377014, 'latency_p90': 2.562713694572449}, {'batch_size': 2, 'throughput': 0.6377590252758419, 'latency_mean': 3.127903028726578, 'latency_p50': 3.1233856678009033, 'latency_p90': 3.3534029722213745}, {'batch_size': 3, 'throughput': 0.7744735811766882, 'latency_mean': 3.8667897498607635, 'latency_p50': 3.89024817943573, 'latency_p90': 4.303243112564087}, {'batch_size': 4, 'throughput': 0.8748354792605709, 'latency_mean': 4.555610880851746, 'latency_p50': 4.561355829238892, 'latency_p90': 5.1373120784759525}, {'batch_size': 5, 'throughput': 0.9343368989695756, 'latency_mean': 5.330342870950699, 'latency_p50': 5.33458936214447, 'latency_p90': 6.098315405845642}]
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: 2025-12-05
win_ratio: 0.5027078687480089
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:', 'User:', '</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-v29-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v29-mkmlizer to finish
chaiml-kimid-v1-cosine-v29-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v29-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v29-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-v29-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v29-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v29-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-kimid-v1-cosine-v29-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v29-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v29-mkmlizer: Downloaded to shared memory in 35.559s
chaiml-kimid-v1-cosine-v29-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v29-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp5r3qf4xs, device:0
chaiml-kimid-v1-cosine-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v29-mkmlizer: 
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chaiml-kimid-v1-cosine-v29-mkmlizer: The tokenizer you are loading from '/tmp/tmp5r3qf4xs' 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-v29-mkmlizer: quantized model in 276.571s
chaiml-kimid-v1-cosine-v29-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 312.131s
chaiml-kimid-v1-cosine-v29-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/config.json
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v29/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v29-mkmlizer completed after 388.86s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v29-mkmlizer
Pipeline stage MKMLizer completed in 389.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.31s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v29
Waiting for inference service chaiml-kimid-v1-cosine-v29 to be ready
Inference service chaiml-kimid-v1-cosine-v29 ready after 170.82023525238037s
Pipeline stage MKMLDeployer completed in 171.95s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5183074474334717s
Received healthy response to inference request in 2.363311767578125s
Received healthy response to inference request in 2.51692795753479s
Received healthy response to inference request in 2.215502977371216s
Received healthy response to inference request in 1.9822816848754883s
5 requests
0 failed requests
5th percentile: 2.0289259433746336
10th percentile: 2.0755702018737794
20th percentile: 2.1688587188720705
30th percentile: 2.2450647354125977
40th percentile: 2.3041882514953613
50th percentile: 2.363311767578125
60th percentile: 2.424758243560791
70th percentile: 2.486204719543457
80th percentile: 2.517203855514526
90th percentile: 2.517755651473999
95th percentile: 2.5180315494537355
99th percentile: 2.5182522678375245
mean time: 2.319266366958618
Pipeline stage StressChecker completed in 13.16s
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 1.73s
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 0.75s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v29 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 3048.94s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v29 status is now inactive due to auto deactivation removed underperforming models