developer_uid: zonemercy
submission_id: chaiml-kimid-v4_v2
model_name: test
model_group: ChaiML/kimid-v4
status: torndown
timestamp: 2025-12-12T18:28:14+00:00
num_battles: 6035
num_wins: 3184
celo_rating: 1322.02
family_friendly_score: 0.507
family_friendly_standard_error: 0.007070374813261317
submission_type: basic
model_repo: ChaiML/kimid-v4
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': 0.4243569767776484, 'latency_mean': 2.356431291103363, 'latency_p50': 2.3623626232147217, 'latency_p90': 2.556744933128357}, {'batch_size': 2, 'throughput': 0.6331211779140732, 'latency_mean': 3.1563287818431855, 'latency_p50': 3.137139916419983, 'latency_p90': 3.422877788543701}, {'batch_size': 3, 'throughput': 0.7658010278689431, 'latency_mean': 3.901937705278397, 'latency_p50': 3.8775839805603027, 'latency_p90': 4.3714576959609985}, {'batch_size': 4, 'throughput': 0.8627585447779954, 'latency_mean': 4.623684459924698, 'latency_p50': 4.612028121948242, 'latency_p90': 5.266391777992248}, {'batch_size': 5, 'throughput': 0.922697419727513, 'latency_mean': 5.4070487725734715, 'latency_p50': 5.3903114795684814, 'latency_p90': 6.149343323707581}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-06
win_ratio: 0.5275890637945319
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-v4-v2-mkmlizer
Waiting for job on chaiml-kimid-v4-v2-mkmlizer to finish
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-eos-lr5e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer to finish
chaiml-kimid-v4-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-v2-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-v4-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-v2-mkmlizer: ║                                                                     ║
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chaiml-kimid-v4-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-eos-lr5e6g32-v2-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-eos-lr5e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-v2-mkmlizer: Downloaded to shared memory in 40.861s
chaiml-kimid-v4-v2-mkmlizer: Checking if ChaiML/kimid-v4 already exists in ChaiML
chaiml-kimid-v4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpv3ldl2uj, device:0
chaiml-kimid-v4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-v2-mkmlizer: 
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chaiml-kimid-v4-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpv3ldl2uj' 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-v4-v2-mkmlizer: quantized model in 278.091s
chaiml-kimid-v4-v2-mkmlizer: Processed model ChaiML/kimid-v4 in 318.952s
chaiml-kimid-v4-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/config.json
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/special_tokens_map.json
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/tokenizer_config.json
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/tokenizer.json
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-v2/nvidia/flywheel_model.0.safetensors
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: 
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chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmprvd3vnha' 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-eos-lr5e6g32-v2-mkmlizer: quantized model in 280.604s
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v4a_eos-lr5e6g32 in 318.716s
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/config.json
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/tokenizer.json
Job chaiml-kimid-v4-v2-mkmlizer completed after 393.29s with status: succeeded
Stopping job with name chaiml-kimid-v4-v2-mkmlizer
Pipeline stage MKMLizer completed in 394.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4-v2
Waiting for inference service chaiml-kimid-v4-v2 to be ready
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-eos-lr5e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer completed after 390.78s with status: succeeded
Stopping job with name chaiml-kimid-v4a-eos-lr5e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 391.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4a-eos-lr5e6g32-v2
Waiting for inference service chaiml-kimid-v4a-eos-lr5e6g32-v2 to be ready
Inference service chaiml-kimid-v4-v2 ready after 191.9005024433136s
Pipeline stage MKMLDeployer completed in 192.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5071840286254883s
Received healthy response to inference request in 2.535853862762451s
Received healthy response to inference request in 2.345219612121582s
Received healthy response to inference request in 1.9302213191986084s
Received healthy response to inference request in 2.217541456222534s
5 requests
0 failed requests
5th percentile: 1.9876853466033935
10th percentile: 2.0451493740081785
20th percentile: 2.160077428817749
30th percentile: 2.2430770874023436
40th percentile: 2.294148349761963
50th percentile: 2.345219612121582
60th percentile: 2.4100053787231444
70th percentile: 2.474791145324707
80th percentile: 2.512917995452881
90th percentile: 2.524385929107666
95th percentile: 2.5301198959350586
99th percentile: 2.5347070693969727
mean time: 2.3072040557861326
Pipeline stage StressChecker completed in 16.16s
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 0.94s
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 1.91s
Shutdown handler de-registered
chaiml-kimid-v4_v2 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 2555.85s
Shutdown handler de-registered
chaiml-kimid-v4_v2 status is now torndown due to DeploymentManager action