developer_uid: zonemercy
submission_id: chaiml-kimid-v4a-lr2e6g32_v5
model_name: test
model_group: ChaiML/kimid-v4a_lr2e6g3
status: torndown
timestamp: 2025-12-12T18:28:20+00:00
num_battles: 6978
num_wins: 3626
celo_rating: 1310.36
family_friendly_score: 0.5096
family_friendly_standard_error: 0.007069764352508505
submission_type: basic
model_repo: ChaiML/kimid-v4a_lr2e6g32
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': 0.421059988261339, 'latency_mean': 2.374894152879715, 'latency_p50': 2.364746570587158, 'latency_p90': 2.5657617092132567}, {'batch_size': 2, 'throughput': 0.6223363659297189, 'latency_mean': 3.2088998341560364, 'latency_p50': 3.2208220958709717, 'latency_p90': 3.4526581525802613}, {'batch_size': 3, 'throughput': 0.7598784344585379, 'latency_mean': 3.933321298360825, 'latency_p50': 3.9231908321380615, 'latency_p90': 4.2132000207901}, {'batch_size': 4, 'throughput': 0.8509426971498073, 'latency_mean': 4.676812399625778, 'latency_p50': 4.666421890258789, 'latency_p90': 5.3679486274719235}, {'batch_size': 5, 'throughput': 0.9027240839242515, 'latency_mean': 5.503485645055771, 'latency_p50': 5.509034633636475, 'latency_p90': 6.268216586112976}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2025-12-07
win_ratio: 0.5196331327027802
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-lr2e6g32-v5-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer to finish
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr2e6g32-v5-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-lr2e6g32-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: Downloaded to shared memory in 38.176s
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: Checking if ChaiML/kimid-v4a_lr2e6g32 already exists in ChaiML
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpa56u6cvd, device:0
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: 
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chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmpa56u6cvd' 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-lr2e6g32-v5-mkmlizer: quantized model in 275.966s
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: Processed model ChaiML/kimid-v4a_lr2e6g32 in 314.142s
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/config.json
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/tokenizer.json
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr2e6g32-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer completed after 407.73s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr2e6g32-v5-mkmlizer
Pipeline stage MKMLizer completed in 408.46s
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-v4a-lr2e6g32-v5
Waiting for inference service chaiml-kimid-v4a-lr2e6g32-v5 to be ready
Inference service chaiml-kimid-v4a-lr2e6g32-v5 ready after 210.92165684700012s
Pipeline stage MKMLDeployer completed in 211.74s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2754461765289307s
Received healthy response to inference request in 2.2094297409057617s
Received healthy response to inference request in 1.983750343322754s
Received healthy response to inference request in 2.1491470336914062s
Received healthy response to inference request in 2.5460023880004883s
5 requests
0 failed requests
5th percentile: 2.0168296813964846
10th percentile: 2.0499090194702148
20th percentile: 2.1160676956176756
30th percentile: 2.1612035751342775
40th percentile: 2.1853166580200196
50th percentile: 2.2094297409057617
60th percentile: 2.235836315155029
70th percentile: 2.262242889404297
80th percentile: 2.329557418823242
90th percentile: 2.4377799034118652
95th percentile: 2.4918911457061768
99th percentile: 2.535180139541626
mean time: 2.2327551364898683
Pipeline stage StressChecker completed in 12.52s
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 0.72s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g32_v5 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 0.11s
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-v4a-lr2e6g32-v5-profiler
Waiting for inference service chaiml-kimid-v4a-lr2e6g32-v5-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 2637.73s
Shutdown handler de-registered
chaiml-kimid-v4a-lr2e6g32_v5 status is now torndown due to DeploymentManager action