developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v11
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T11:29:22+00:00
num_battles: 6412
num_wins: 3251
celo_rating: 1296.89
family_friendly_score: 0.509
family_friendly_standard_error: 0.007069922206078367
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': 0.42717486718174635, 'latency_mean': 2.3408936929702757, 'latency_p50': 2.34073269367218, 'latency_p90': 2.5362041711807253}, {'batch_size': 2, 'throughput': 0.6343413870623671, 'latency_mean': 3.1503826344013213, 'latency_p50': 3.1448806524276733, 'latency_p90': 3.3933714389801026}, {'batch_size': 3, 'throughput': 0.773520723251053, 'latency_mean': 3.8710179436206817, 'latency_p50': 3.868952512741089, 'latency_p90': 4.252278685569763}, {'batch_size': 4, 'throughput': 0.8720680961550519, 'latency_mean': 4.570356786251068, 'latency_p50': 4.551777482032776, 'latency_p90': 5.030336093902587}, {'batch_size': 5, 'throughput': 0.9237723375938041, 'latency_mean': 5.379930557012558, 'latency_p50': 5.3848888874053955, 'latency_p90': 6.173893666267395}]
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: 0.5070180910792265
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-v11-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v11-mkmlizer to finish
chaiml-kimid-v1-cosine-v11-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v11-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v11-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-v11-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v11-mkmlizer: Downloaded to shared memory in 41.606s
chaiml-kimid-v1-cosine-v11-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v11-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmputqvqwqf, device:0
chaiml-kimid-v1-cosine-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v11-mkmlizer: 
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chaiml-kimid-v1-cosine-v11-mkmlizer: The tokenizer you are loading from '/tmp/tmputqvqwqf' 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-v11-mkmlizer: quantized model in 278.391s
chaiml-kimid-v1-cosine-v11-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 319.997s
chaiml-kimid-v1-cosine-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/config.json
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v11/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v11-mkmlizer completed after 387.86s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v11-mkmlizer
Pipeline stage MKMLizer completed in 388.45s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.64s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v11
Waiting for inference service chaiml-kimid-v1-cosine-v11 to be ready
Inference service chaiml-kimid-v1-cosine-v11 ready after 180.91293025016785s
Pipeline stage MKMLDeployer completed in 181.56s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.326967239379883s
Received healthy response to inference request in 2.5199294090270996s
Received healthy response to inference request in 2.2242157459259033s
Received healthy response to inference request in 2.3983378410339355s
Received healthy response to inference request in 2.2590279579162598s
5 requests
0 failed requests
5th percentile: 2.2311781883239745
10th percentile: 2.2381406307220457
20th percentile: 2.2520655155181886
30th percentile: 2.2726158142089843
40th percentile: 2.2997915267944338
50th percentile: 2.326967239379883
60th percentile: 2.355515480041504
70th percentile: 2.384063720703125
80th percentile: 2.4226561546325684
90th percentile: 2.471292781829834
95th percentile: 2.4956110954284667
99th percentile: 2.515065746307373
mean time: 2.345695638656616
Pipeline stage StressChecker completed in 13.20s
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 0.82s
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_v11 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 0.10s
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-v11-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v11-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 2501.68s
Shutdown handler de-registered