developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v13
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T13:50:27+00:00
num_battles: 34860
num_wins: 17758
celo_rating: 1300.22
family_friendly_score: 0.5067999999999999
family_friendly_standard_error: 0.007070413849273605
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': 0.427247708164263, 'latency_mean': 2.3405012464523316, 'latency_p50': 2.329045534133911, 'latency_p90': 2.5439358711242677}, {'batch_size': 2, 'throughput': 0.6315631671209447, 'latency_mean': 3.157729376554489, 'latency_p50': 3.15115225315094, 'latency_p90': 3.3927584409713747}, {'batch_size': 3, 'throughput': 0.7767629036799353, 'latency_mean': 3.854921370744705, 'latency_p50': 3.831775188446045, 'latency_p90': 4.140982151031494}, {'batch_size': 4, 'throughput': 0.8675805111304037, 'latency_mean': 4.593575594425201, 'latency_p50': 4.610866904258728, 'latency_p90': 4.942283082008362}, {'batch_size': 5, 'throughput': 0.9265785239408323, 'latency_mean': 5.3757165491580965, 'latency_p50': 5.378875374794006, 'latency_p90': 6.134647417068481}]
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: 0.5094090648307515
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-v13-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v13-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-kimid-v1-cosine-v13-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v13-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v13-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-v13-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v13-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-kimid-v1-cosine-v13-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v13-mkmlizer: Downloaded to shared memory in 42.081s
chaiml-kimid-v1-cosine-v13-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpka4gw1s4, device:0
chaiml-kimid-v1-cosine-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v13-mkmlizer: 
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chaiml-kimid-v1-cosine-v13-mkmlizer: The tokenizer you are loading from '/tmp/tmpka4gw1s4' 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-v13-mkmlizer: quantized model in 275.429s
chaiml-kimid-v1-cosine-v13-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 317.510s
chaiml-kimid-v1-cosine-v13-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/config.json
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v13/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v13-mkmlizer completed after 379.28s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v13-mkmlizer
Pipeline stage MKMLizer completed in 385.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v13
Waiting for inference service chaiml-kimid-v1-cosine-v13 to be ready
Inference service chaiml-kimid-v1-cosine-v13 ready after 181.24955821037292s
Pipeline stage MKMLDeployer completed in 181.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3834850788116455s
Received healthy response to inference request in 2.2359514236450195s
Received healthy response to inference request in 2.4032578468322754s
Received healthy response to inference request in 2.6218338012695312s
Received healthy response to inference request in 2.0452191829681396s
5 requests
0 failed requests
5th percentile: 2.083365631103516
10th percentile: 2.1215120792388915
20th percentile: 2.1978049755096434
30th percentile: 2.2654581546783445
40th percentile: 2.324471616744995
50th percentile: 2.3834850788116455
60th percentile: 2.3913941860198973
70th percentile: 2.3993032932281495
80th percentile: 2.4469730377197267
90th percentile: 2.534403419494629
95th percentile: 2.57811861038208
99th percentile: 2.613090763092041
mean time: 2.3379494667053224
Pipeline stage StressChecker completed in 13.01s
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 0.66s
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 0.65s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v13 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v1-cosine-v13-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v13-profiler to be ready
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 3995.65s
Shutdown handler de-registered