developer_uid: zonemercy
submission_id: chaiml-kimid-v4-eos-lr5e6g32_v2
model_name: test
model_group: ChaiML/kimid-v4_eos-lr5e
status: torndown
timestamp: 2025-12-12T18:28:09+00:00
num_battles: 6447
num_wins: 3365
celo_rating: 1307.09
family_friendly_score: 0.5064
family_friendly_standard_error: 0.007070488526261817
submission_type: basic
model_repo: ChaiML/kimid-v4_eos-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': 0.4289034873152359, 'latency_mean': 2.3314495480060575, 'latency_p50': 2.3284077644348145, 'latency_p90': 2.540581226348877}, {'batch_size': 2, 'throughput': 0.6385906470265047, 'latency_mean': 3.1308338904380797, 'latency_p50': 3.1418081521987915, 'latency_p90': 3.371238446235657}, {'batch_size': 3, 'throughput': 0.7811326331552377, 'latency_mean': 3.835765217542648, 'latency_p50': 3.837829351425171, 'latency_p90': 4.079438376426697}, {'batch_size': 4, 'throughput': 0.8831551135362427, 'latency_mean': 4.520236461162567, 'latency_p50': 4.5314860343933105, 'latency_p90': 5.0378624439239506}, {'batch_size': 5, 'throughput': 0.9434039332801119, 'latency_mean': 5.278323404788971, 'latency_p50': 5.276432752609253, 'latency_p90': 6.0154897451400755}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_eos-lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.76
us_pacific_date: 2025-12-06
win_ratio: 0.5219481929579649
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:', '</s>', 'You:'], '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-eos-lr5e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer to finish
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-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-v4-eos-lr5e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: Downloaded to shared memory in 37.464s
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: Checking if ChaiML/kimid-v4_eos-lr5e6g32 already exists in ChaiML
Retrying (%r) after connection broken by '%r': %s
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp84ntlf0_, device:0
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: 
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chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmp84ntlf0_' 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-eos-lr5e6g32-v2-mkmlizer: quantized model in 276.602s
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v4_eos-lr5e6g32 in 314.066s
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/config.json
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/tokenizer.json
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-eos-lr5e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer completed after 407.35s with status: succeeded
Stopping job with name chaiml-kimid-v4-eos-lr5e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 408.10s
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-eos-lr5e6g32-v2
Waiting for inference service chaiml-kimid-v4-eos-lr5e6g32-v2 to be ready
Failed to get response for submission chaiml-7b07-69d4-linear-w01_v7: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-7b07-69d4-linear-w01_v7/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n  Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v7/predict\'\\"}, input_type=dict]\\n    For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
Inference service chaiml-kimid-v4-eos-lr5e6g32-v2 ready after 200.96432971954346s
Pipeline stage MKMLDeployer completed in 201.58s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.504441022872925s
Received healthy response to inference request in 2.5898513793945312s
Received healthy response to inference request in 2.13217830657959s
Received healthy response to inference request in 2.5725862979888916s
Received healthy response to inference request in 2.7557785511016846s
5 requests
0 failed requests
5th percentile: 2.2066308498382567
10th percentile: 2.2810833930969237
20th percentile: 2.429988479614258
30th percentile: 2.5180700778961183
40th percentile: 2.5453281879425047
50th percentile: 2.5725862979888916
60th percentile: 2.5794923305511475
70th percentile: 2.5863983631134033
80th percentile: 2.623036813735962
90th percentile: 2.6894076824188233
95th percentile: 2.7225931167602537
99th percentile: 2.7491414642333982
mean time: 2.5109671115875245
Pipeline stage StressChecker completed in 13.96s
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 0.66s
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-v4-eos-lr5e6g32_v2 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 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v4-eos-lr5e6g32-v2-profiler
Waiting for inference service chaiml-kimid-v4-eos-lr5e6g32-v2-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 2578.00s
Shutdown handler de-registered
chaiml-kimid-v4-eos-lr5e6g32_v2 status is now torndown due to DeploymentManager action