developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v19
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T23:17:06+00:00
num_battles: 6007
num_wins: 3076
celo_rating: 1298.98
family_friendly_score: 0.5
family_friendly_standard_error: 0.007071067811865475
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': 0.4259608323563882, 'latency_mean': 2.3475650119781495, 'latency_p50': 2.333340287208557, 'latency_p90': 2.5622201204299926}, {'batch_size': 2, 'throughput': 0.6338327481705964, 'latency_mean': 3.1495169043540954, 'latency_p50': 3.145962357521057, 'latency_p90': 3.39099063873291}, {'batch_size': 3, 'throughput': 0.7738319889885674, 'latency_mean': 3.870110802650452, 'latency_p50': 3.8653101921081543, 'latency_p90': 4.135821390151977}, {'batch_size': 4, 'throughput': 0.8731410729165924, 'latency_mean': 4.568999956846238, 'latency_p50': 4.586160063743591, 'latency_p90': 5.041052460670471}, {'batch_size': 5, 'throughput': 0.9294479663601274, 'latency_mean': 5.358909771442414, 'latency_p50': 5.3311607837677, 'latency_p90': 6.134470891952515}]
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: 0.5120692525387048
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-v19-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v19-mkmlizer to finish
chaiml-kimid-v1-cosine-v19-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v19-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v19-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-v19-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v19-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v19-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v19-mkmlizer: Downloaded to shared memory in 47.085s
chaiml-kimid-v1-cosine-v19-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp_rgr3rzx, device:0
chaiml-kimid-v1-cosine-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
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chaiml-kimid-v1-cosine-v19-mkmlizer: The tokenizer you are loading from '/tmp/tmp_rgr3rzx' 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-v19-mkmlizer: quantized model in 276.950s
chaiml-kimid-v1-cosine-v19-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 324.036s
chaiml-kimid-v1-cosine-v19-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/config.json
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v19/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v19-mkmlizer completed after 398.6s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v19-mkmlizer
Pipeline stage MKMLizer completed in 399.18s
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-v19
Waiting for inference service chaiml-kimid-v1-cosine-v19 to be ready
Inference service chaiml-kimid-v1-cosine-v19 ready after 181.26304244995117s
Pipeline stage MKMLDeployer completed in 181.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.389582633972168s
Received healthy response to inference request in 3.0171685218811035s
Received healthy response to inference request in 2.3911452293395996s
Received healthy response to inference request in 1.981137752532959s
Received healthy response to inference request in 2.5766069889068604s
5 requests
0 failed requests
5th percentile: 2.062826728820801
10th percentile: 2.1445157051086428
20th percentile: 2.307893657684326
30th percentile: 2.3898951530456545
40th percentile: 2.390520191192627
50th percentile: 2.3911452293395996
60th percentile: 2.4653299331665037
70th percentile: 2.5395146369934083
80th percentile: 2.664719295501709
90th percentile: 2.8409439086914063
95th percentile: 2.9290562152862547
99th percentile: 2.9995460605621336
mean time: 2.471128225326538
Pipeline stage StressChecker completed in 14.32s
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 0.71s
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 0.72s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v19 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
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-v19-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v19-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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2607.96s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v19 status is now inactive due to auto deactivation removed underperforming models