developer_uid: zonemercy
submission_id: chaiml-kimid-v4-lr5e6g32_v3
model_name: test
model_group: ChaiML/kimid-v4_lr5e6g32
status: torndown
timestamp: 2025-12-12T18:28:13+00:00
num_battles: 6162
num_wins: 3197
celo_rating: 1305.38
family_friendly_score: 0.5126
family_friendly_standard_error: 0.007068822249851809
submission_type: basic
model_repo: ChaiML/kimid-v4_lr5e6g32
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': 0.42265610505393003, 'latency_mean': 2.3659122371673584, 'latency_p50': 2.374191403388977, 'latency_p90': 2.5866240739822386}, {'batch_size': 2, 'throughput': 0.6219662786970775, 'latency_mean': 3.2113838386535645, 'latency_p50': 3.204581618309021, 'latency_p90': 3.4621959924697876}, {'batch_size': 3, 'throughput': 0.7552079350072016, 'latency_mean': 3.969258725643158, 'latency_p50': 3.982140302658081, 'latency_p90': 4.3845228195190415}, {'batch_size': 4, 'throughput': 0.848648730014108, 'latency_mean': 4.694897193908691, 'latency_p50': 4.697221279144287, 'latency_p90': 5.12448558807373}, {'batch_size': 5, 'throughput': 0.9114421939282549, 'latency_mean': 5.468098837137222, 'latency_p50': 5.465171456336975, 'latency_p90': 6.131116986274719}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.71
us_pacific_date: 2025-12-06
win_ratio: 0.5188250567997403
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-v4-lr5e6g32-v3-mkmlizer
Waiting for job on chaiml-kimid-v4-lr5e6g32-v3-mkmlizer to finish
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-lr5e6g32-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-v4-lr5e6g32-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Downloaded to shared memory in 38.098s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Checking if ChaiML/kimid-v4_lr5e6g32 already exists in ChaiML
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpd2z8xled, device:0
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: 
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chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpd2z8xled' 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-lr5e6g32-v3-mkmlizer: quantized model in 276.457s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Processed model ChaiML/kimid-v4_lr5e6g32 in 314.555s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/config.json
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/special_tokens_map.json
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/tokenizer.json
Stopping job with name chaiml-kimid-v4-lr5e6g32-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-kimid-v4-lr5e6g32-v3-mkmlizer
Waiting for job on chaiml-kimid-v4-lr5e6g32-v3-mkmlizer to finish
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-lr5e6g32-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-v4-lr5e6g32-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Downloaded to shared memory in 36.044s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Checking if ChaiML/kimid-v4_lr5e6g32 already exists in ChaiML
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpof5ay403, device:0
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: 
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chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpof5ay403' 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-lr5e6g32-v3-mkmlizer: quantized model in 278.534s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: Processed model ChaiML/kimid-v4_lr5e6g32 in 314.578s
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/tokenizer.json
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-lr5e6g32-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr5e6g32-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-lr5e6g32-v3-mkmlizer completed after 378.66s with status: succeeded
Stopping job with name chaiml-kimid-v4-lr5e6g32-v3-mkmlizer
Pipeline stage MKMLizer completed in 717.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4-lr5e6g32-v3
Waiting for inference service chaiml-kimid-v4-lr5e6g32-v3 to be ready
Inference service chaiml-kimid-v4-lr5e6g32-v3 ready after 211.22689867019653s
Pipeline stage MKMLDeployer completed in 211.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3624846935272217s
Received healthy response to inference request in 2.24643874168396s
Received healthy response to inference request in 2.2379910945892334s
Received healthy response to inference request in 2.5096468925476074s
Received healthy response to inference request in 2.3665835857391357s
5 requests
0 failed requests
5th percentile: 2.239680624008179
10th percentile: 2.241370153427124
20th percentile: 2.2447492122650146
30th percentile: 2.2696479320526124
40th percentile: 2.316066312789917
50th percentile: 2.3624846935272217
60th percentile: 2.3641242504119875
70th percentile: 2.365763807296753
80th percentile: 2.39519624710083
90th percentile: 2.4524215698242187
95th percentile: 2.4810342311859133
99th percentile: 2.5039243602752688
mean time: 2.344629001617432
Pipeline stage StressChecker completed in 13.69s
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 0.67s
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 0.69s
Shutdown handler de-registered
chaiml-kimid-v4-lr5e6g32_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
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 2416.72s
Shutdown handler de-registered
chaiml-kimid-v4-lr5e6g32_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-kimid-v4-lr5e6g32_v3 status is now torndown due to DeploymentManager action