chaiml-kimid-v4a

developer_uid: zonemercy
submission_id: chaiml-kimid-v4a_v11
model_name: test
model_group: ChaiML/kimid-v4a
status: torndown
timestamp: 2025-12-12T18:28:23+00:00
num_battles: 8231
num_wins: 4224
celo_rating: 1305.66
family_friendly_score: 0.501
family_friendly_standard_error: 0.00707105366971571
submission_type: basic
model_repo: ChaiML/kimid-v4a
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': 0.424454510783751, 'latency_mean': 2.3559008228778837, 'latency_p50': 2.3628307580947876, 'latency_p90': 2.5679042816162108}, {'batch_size': 2, 'throughput': 0.6189241682460558, 'latency_mean': 3.226817924976349, 'latency_p50': 3.237597942352295, 'latency_p90': 3.440816783905029}, {'batch_size': 3, 'throughput': 0.7502794129867626, 'latency_mean': 3.99074626326561, 'latency_p50': 3.9999775886535645, 'latency_p90': 4.541466331481933}, {'batch_size': 4, 'throughput': 0.8363301902936998, 'latency_mean': 4.76288191318512, 'latency_p50': 4.784428954124451, 'latency_p90': 5.415495228767394}, {'batch_size': 5, 'throughput': 0.9042041110381207, 'latency_mean': 5.511147345304489, 'latency_p50': 5.514693737030029, 'latency_p90': 6.24932963848114}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a
model_size: 24B
ranking_group: single
throughput_3p7s: 0.71
us_pacific_date: 2025-12-08
win_ratio: 0.5131818734054185
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-v4a-v11-mkmlizer
Waiting for job on chaiml-kimid-v4a-v11-mkmlizer to finish
chaiml-kimid-v4a-v11-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-v11-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-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-v4a-v11-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-kimid-v4a-v11-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-v11-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-v11-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-v11-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-v11-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-v11-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-v11-mkmlizer: Downloaded to shared memory in 33.498s
chaiml-kimid-v4a-v11-mkmlizer: Checking if ChaiML/kimid-v4a already exists in ChaiML
chaiml-kimid-v4a-v11-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpw59sc8sf, device:0
chaiml-kimid-v4a-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-v11-mkmlizer: 
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chaiml-kimid-v4a-v11-mkmlizer: The tokenizer you are loading from '/tmp/tmpw59sc8sf' 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-v4a-v11-mkmlizer: quantized model in 278.650s
chaiml-kimid-v4a-v11-mkmlizer: Processed model ChaiML/kimid-v4a in 312.148s
chaiml-kimid-v4a-v11-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/config.json
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/special_tokens_map.json
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/tokenizer_config.json
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/tokenizer.json
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-v11/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-v11-mkmlizer completed after 397.45s with status: succeeded
Stopping job with name chaiml-kimid-v4a-v11-mkmlizer
Pipeline stage MKMLizer completed in 397.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4a-v11
Waiting for inference service chaiml-kimid-v4a-v11 to be ready
Inference service chaiml-kimid-v4a-v11 ready after 210.8200078010559s
Pipeline stage MKMLDeployer completed in 211.44s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.194352626800537s
Received healthy response to inference request in 2.492154359817505s
Received healthy response to inference request in 2.4606432914733887s
Received healthy response to inference request in 2.4695208072662354s
Received healthy response to inference request in 2.2807390689849854s
5 requests
0 failed requests
5th percentile: 2.2116299152374266
10th percentile: 2.2289072036743165
20th percentile: 2.263461780548096
30th percentile: 2.316719913482666
40th percentile: 2.3886816024780275
50th percentile: 2.4606432914733887
60th percentile: 2.4641942977905273
70th percentile: 2.467745304107666
80th percentile: 2.4740475177764893
90th percentile: 2.483100938796997
95th percentile: 2.487627649307251
99th percentile: 2.4912490177154543
mean time: 2.3794820308685303
Pipeline stage StressChecker completed in 14.07s
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 0.65s
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 0.77s
Shutdown handler de-registered
chaiml-kimid-v4a_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 0.09s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v4a-v11-profiler
Waiting for inference service chaiml-kimid-v4a-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 2684.37s
Shutdown handler de-registered
chaiml-kimid-v4a_v11 status is now torndown due to DeploymentManager action