developer_uid: zonemercy
submission_id: chaiml-kimid-v3_v4
model_name: test
model_group: ChaiML/kimid-v3
status: torndown
timestamp: 2025-12-12T18:28:03+00:00
num_battles: 8764
num_wins: 4473
celo_rating: 1300.6
family_friendly_score: 0.5045999999999999
family_friendly_standard_error: 0.00707076855794333
submission_type: basic
model_repo: ChaiML/kimid-v3
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': 0.4274376162206692, 'latency_mean': 2.3394457471370695, 'latency_p50': 2.3510459661483765, 'latency_p90': 2.547394943237305}, {'batch_size': 2, 'throughput': 0.6379820993007672, 'latency_mean': 3.134321368932724, 'latency_p50': 3.1227941513061523, 'latency_p90': 3.3564085721969605}, {'batch_size': 3, 'throughput': 0.779852382040867, 'latency_mean': 3.8322234082221986, 'latency_p50': 3.854065179824829, 'latency_p90': 4.142539048194886}, {'batch_size': 4, 'throughput': 0.8793256720896708, 'latency_mean': 4.538920345306397, 'latency_p50': 4.510428786277771, 'latency_p90': 5.161762142181397}, {'batch_size': 5, 'throughput': 0.9361351637365586, 'latency_mean': 5.316508511304855, 'latency_p50': 5.286271572113037, 'latency_p90': 6.099079871177674}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.76
us_pacific_date: 2025-12-06
win_ratio: 0.5103833865814696
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-v3-v4-mkmlizer
Waiting for job on chaiml-kimid-v3-v4-mkmlizer to finish
chaiml-kimid-v3-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-v4-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-v3-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-v4-mkmlizer: Downloaded to shared memory in 40.246s
chaiml-kimid-v3-v4-mkmlizer: Checking if ChaiML/kimid-v3 already exists in ChaiML
chaiml-kimid-v3-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmphuxq03qw, device:0
chaiml-kimid-v3-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-v4-mkmlizer: 
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chaiml-kimid-v3-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmphuxq03qw' 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-v3-v4-mkmlizer: quantized model in 276.531s
chaiml-kimid-v3-v4-mkmlizer: Processed model ChaiML/kimid-v3 in 316.777s
chaiml-kimid-v3-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/config.json
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/special_tokens_map.json
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/tokenizer_config.json
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/tokenizer.json
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-v4-mkmlizer completed after 369.67s with status: succeeded
Stopping job with name chaiml-kimid-v3-v4-mkmlizer
Pipeline stage MKMLizer completed in 370.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3-v4
Waiting for inference service chaiml-kimid-v3-v4 to be ready
Inference service chaiml-kimid-v3-v4 ready after 180.8853461742401s
Pipeline stage MKMLDeployer completed in 181.39s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2526934146881104s
Received healthy response to inference request in 2.408285617828369s
Received healthy response to inference request in 2.3293213844299316s
Received healthy response to inference request in 2.4928536415100098s
Received healthy response to inference request in 2.5381603240966797s
5 requests
0 failed requests
5th percentile: 2.2680190086364744
10th percentile: 2.283344602584839
20th percentile: 2.3139957904815676
30th percentile: 2.345114231109619
40th percentile: 2.376699924468994
50th percentile: 2.408285617828369
60th percentile: 2.4421128273010253
70th percentile: 2.4759400367736815
80th percentile: 2.5019149780273438
90th percentile: 2.5200376510620117
95th percentile: 2.5290989875793457
99th percentile: 2.536348056793213
mean time: 2.40426287651062
Pipeline stage StressChecker completed in 13.34s
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 0.63s
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 0.97s
Shutdown handler de-registered
chaiml-kimid-v3_v4 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 2724.79s
Shutdown handler de-registered
chaiml-kimid-v3_v4 status is now torndown due to DeploymentManager action