developer_uid: zonemercy
submission_id: chaiml-kimid-v3a-lr2e6g16_v3
model_name: test
model_group: ChaiML/kimid-v3a_lr2e6g1
status: torndown
timestamp: 2025-12-12T18:28:04+00:00
num_battles: 8255
num_wins: 4335
celo_rating: 1313.07
family_friendly_score: 0.506
family_friendly_standard_error: 0.007070558676653493
submission_type: basic
model_repo: ChaiML/kimid-v3a_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': 0.4281957856846191, 'latency_mean': 2.335317277908325, 'latency_p50': 2.3373018503189087, 'latency_p90': 2.5405157804489136}, {'batch_size': 2, 'throughput': 0.6419422141137189, 'latency_mean': 3.1071354818344115, 'latency_p50': 3.100401759147644, 'latency_p90': 3.366043710708618}, {'batch_size': 3, 'throughput': 0.7918042002283472, 'latency_mean': 3.7845010793209077, 'latency_p50': 3.769137144088745, 'latency_p90': 4.086857295036316}, {'batch_size': 4, 'throughput': 0.8945519988240203, 'latency_mean': 4.461883229017258, 'latency_p50': 4.462530732154846, 'latency_p90': 5.045723247528076}, {'batch_size': 5, 'throughput': 0.95117835414852, 'latency_mean': 5.235035587549209, 'latency_p50': 5.251314878463745, 'latency_p90': 5.810775828361511}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3a_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.78
us_pacific_date: 2025-12-06
win_ratio: 0.5251362810417929
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer
Waiting for job on chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer to finish
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3a-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-v3a-lr2e6g16-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: 
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chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpehzit80n' 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-v3a-lr2e6g16-v3-mkmlizer: quantized model in 280.831s
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: Processed model ChaiML/kimid-v3a_lr2e6g16 in 323.062s
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/config.json
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/special_tokens_map.json
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/tokenizer_config.json
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/tokenizer.json
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-lr2e6g16-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer completed after 370.74s with status: succeeded
Stopping job with name chaiml-kimid-v3a-lr2e6g16-v3-mkmlizer
Pipeline stage MKMLizer completed in 371.44s
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-v3a-lr2e6g16-v3
Waiting for inference service chaiml-kimid-v3a-lr2e6g16-v3 to be ready
Inference service chaiml-kimid-v3a-lr2e6g16-v3 ready after 192.60809707641602s
Pipeline stage MKMLDeployer completed in 193.08s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.9347310066223145s
Received healthy response to inference request in 2.300523281097412s
Received healthy response to inference request in 2.13631534576416s
Received healthy response to inference request in 2.8901431560516357s
Received healthy response to inference request in 2.3853702545166016s
5 requests
0 failed requests
5th percentile: 2.1691569328308105
10th percentile: 2.2019985198974608
20th percentile: 2.267681694030762
30th percentile: 2.31749267578125
40th percentile: 2.351431465148926
50th percentile: 2.3853702545166016
60th percentile: 2.5872794151306153
70th percentile: 2.7891885757446286
80th percentile: 3.0990607261657717
90th percentile: 3.516895866394043
95th percentile: 3.7258134365081785
99th percentile: 3.8929474925994874
mean time: 2.729416608810425
Pipeline stage StressChecker completed in 25.93s
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 0.80s
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 0.68s
Shutdown handler de-registered
chaiml-kimid-v3a-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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3a-lr2e6g16-v3-profiler
Waiting for inference service chaiml-kimid-v3a-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 2532.79s
Shutdown handler de-registered
chaiml-kimid-v3a-lr2e6g16_v3 status is now torndown due to DeploymentManager action