developer_uid: zonemercy
submission_id: chaiml-kimid-v3a_v3
model_name: test
model_group: ChaiML/kimid-v3a
status: torndown
timestamp: 2025-12-12T18:28:06+00:00
num_battles: 7484
num_wins: 3872
celo_rating: 1305.62
family_friendly_score: 0.5018
family_friendly_standard_error: 0.007071021991197595
submission_type: basic
model_repo: ChaiML/kimid-v3a
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': 0.4224604151591785, 'latency_mean': 2.3670196282863616, 'latency_p50': 2.352367401123047, 'latency_p90': 2.5951919317245484}, {'batch_size': 2, 'throughput': 0.6259105768024227, 'latency_mean': 3.192012103796005, 'latency_p50': 3.194242835044861, 'latency_p90': 3.4458958387374876}, {'batch_size': 3, 'throughput': 0.7660309197183404, 'latency_mean': 3.90753458738327, 'latency_p50': 3.9075586795806885, 'latency_p90': 4.518798518180847}, {'batch_size': 4, 'throughput': 0.8494343730495937, 'latency_mean': 4.688552674055099, 'latency_p50': 4.7068012952804565, 'latency_p90': 5.340784788131714}, {'batch_size': 5, 'throughput': 0.9073276540411822, 'latency_mean': 5.484498269557953, 'latency_p50': 5.479409694671631, 'latency_p90': 6.221193099021912}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3a
model_size: 24B
ranking_group: single
throughput_3p7s: 0.73
us_pacific_date: 2025-12-06
win_ratio: 0.5173703901656868
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:', '</s>', '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-v3a-v3-mkmlizer
Waiting for job on chaiml-kimid-v3a-v3-mkmlizer to finish
chaiml-kimid-v3a-v3-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3a-v3-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3a-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-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3a-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3a-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3a-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3a-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3a-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3a-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v3a-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3a-v3-mkmlizer: Downloaded to shared memory in 92.227s
chaiml-kimid-v3a-v3-mkmlizer: Checking if ChaiML/kimid-v3a already exists in ChaiML
chaiml-kimid-v3a-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmplzxdcumz, device:0
chaiml-kimid-v3a-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3a-v3-mkmlizer: 
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chaiml-kimid-v3a-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmplzxdcumz' 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-v3-mkmlizer: quantized model in 276.953s
chaiml-kimid-v3a-v3-mkmlizer: Processed model ChaiML/kimid-v3a in 369.180s
chaiml-kimid-v3a-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3a-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3a-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/config.json
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/special_tokens_map.json
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/tokenizer_config.json
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/tokenizer.json
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3a-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3a-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3a-v3-mkmlizer completed after 440.56s with status: succeeded
Stopping job with name chaiml-kimid-v3a-v3-mkmlizer
Pipeline stage MKMLizer completed in 441.07s
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-v3
Waiting for inference service chaiml-kimid-v3a-v3 to be ready
Inference service chaiml-kimid-v3a-v3 ready after 201.01941466331482s
Pipeline stage MKMLDeployer completed in 201.48s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.4110841751098633s
Received healthy response to inference request in 2.162090301513672s
Received healthy response to inference request in 2.4485421180725098s
Received healthy response to inference request in 2.6641767024993896s
5 requests
1 failed requests
5th percentile: 2.21188907623291
10th percentile: 2.2616878509521485
20th percentile: 2.361285400390625
30th percentile: 2.4185757637023926
40th percentile: 2.433558940887451
50th percentile: 2.4485421180725098
60th percentile: 2.534795951843262
70th percentile: 2.6210497856140136
80th percentile: 6.157458066940311
90th percentile: 13.144020795822145
95th percentile: 16.637302160263058
99th percentile: 19.431927251815797
mean time: 5.963295364379883
%s, retrying in %s seconds...
Received healthy response to inference request in 2.2886784076690674s
Received healthy response to inference request in 1.9109399318695068s
Received healthy response to inference request in 2.718341112136841s
Received healthy response to inference request in 2.6162986755371094s
Received healthy response to inference request in 2.16778302192688s
5 requests
0 failed requests
5th percentile: 1.9623085498809814
10th percentile: 2.013677167892456
20th percentile: 2.1164144039154054
30th percentile: 2.1919620990753175
40th percentile: 2.240320253372192
50th percentile: 2.2886784076690674
60th percentile: 2.419726514816284
70th percentile: 2.550774621963501
80th percentile: 2.6367071628570558
90th percentile: 2.677524137496948
95th percentile: 2.6979326248168944
99th percentile: 2.7142594146728514
mean time: 2.3404082298278808
Pipeline stage StressChecker completed in 44.63s
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 0.65s
Shutdown handler de-registered
chaiml-kimid-v3a_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-v3-profiler
Waiting for inference service chaiml-kimid-v3a-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 2597.56s
Shutdown handler de-registered
chaiml-kimid-v3a_v3 status is now torndown due to DeploymentManager action