chaiml-kimid-v3-lr2e6g16

developer_uid: zonemercy
submission_id: chaiml-kimid-v3-lr2e6g16_v3
model_name: test
model_group: ChaiML/kimid-v3_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:27:56+00:00
num_battles: 7469
num_wins: 3897
celo_rating: 1308.38
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/kimid-v3_lr2e6g16
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': 0.4222867027058553, 'latency_mean': 2.3679898023605346, 'latency_p50': 2.3887293338775635, 'latency_p90': 2.5591548919677733}, {'batch_size': 2, 'throughput': 0.6359238442116001, 'latency_mean': 3.132934979200363, 'latency_p50': 3.1198357343673706, 'latency_p90': 3.3546689271926877}, {'batch_size': 3, 'throughput': 0.7678688717676427, 'latency_mean': 3.8939048516750336, 'latency_p50': 3.882479667663574, 'latency_p90': 4.158861923217773}, {'batch_size': 4, 'throughput': 0.8679959961381779, 'latency_mean': 4.596195771694183, 'latency_p50': 4.59587562084198, 'latency_p90': 5.114484214782714}, {'batch_size': 5, 'throughput': 0.9239265421099463, 'latency_mean': 5.393349032402039, 'latency_p50': 5.364385604858398, 'latency_p90': 6.108488965034485}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-06
win_ratio: 0.5217565939215424
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:', '</s>', 'You:'], '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
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run pipeline %s
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v3-lr2e6g16-v3-mkmlizer
Waiting for job on chaiml-kimid-v3-lr2e6g16-v3-mkmlizer to finish
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3-lr2e6g16-v3-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-lr2e6g16-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: Downloaded to shared memory in 44.144s
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: Checking if ChaiML/kimid-v3_lr2e6g16 already exists in ChaiML
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpd6794z4n, device:0
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: 
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chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpd6794z4n' 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-lr2e6g16-v3-mkmlizer: quantized model in 315.574s
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: Processed model ChaiML/kimid-v3_lr2e6g16 in 359.719s
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/config.json
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/special_tokens_map.json
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/tokenizer_config.json
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/tokenizer.json
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3-lr2e6g16-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3-lr2e6g16-v3-mkmlizer completed after 458.7s with status: succeeded
Stopping job with name chaiml-kimid-v3-lr2e6g16-v3-mkmlizer
Pipeline stage MKMLizer completed in 459.23s
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-lr2e6g16-v3
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v3 to be ready
Inference service chaiml-kimid-v3-lr2e6g16-v3 ready after 190.84194827079773s
Pipeline stage MKMLDeployer completed in 192.25s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.240189552307129s
Received healthy response to inference request in 2.692709445953369s
Received healthy response to inference request in 2.2499423027038574s
Received healthy response to inference request in 1.7760097980499268s
Received healthy response to inference request in 2.4349470138549805s
5 requests
0 failed requests
5th percentile: 1.8688457489013672
10th percentile: 1.9616816997528077
20th percentile: 2.1473536014556887
30th percentile: 2.2421401023864744
40th percentile: 2.246041202545166
50th percentile: 2.2499423027038574
60th percentile: 2.3239441871643067
70th percentile: 2.397946071624756
80th percentile: 2.4864995002746584
90th percentile: 2.5896044731140138
95th percentile: 2.6411569595336912
99th percentile: 2.6823989486694337
mean time: 2.2787596225738525
Pipeline stage StressChecker completed in 13.13s
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 0.70s
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 0.62s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v3 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3-lr2e6g16-v3-profiler
Waiting for inference service chaiml-kimid-v3-lr2e6g16-v3-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 2646.61s
Shutdown handler de-registered
chaiml-kimid-v3-lr2e6g16_v3 status is now torndown due to DeploymentManager action