chaiml-kimid-v4-lr2e6g16

developer_uid: zonemercy
submission_id: chaiml-kimid-v4-lr2e6g16_v4
model_name: test
model_group: ChaiML/kimid-v4_lr2e6g16
status: torndown
timestamp: 2025-12-12T18:28:11+00:00
num_battles: 6567
num_wins: 3395
celo_rating: 1304.07
family_friendly_score: 0.5126
family_friendly_standard_error: 0.007068822249851809
submission_type: basic
model_repo: ChaiML/kimid-v4_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': 0.44471142183769846, 'latency_mean': 2.2485701990127565, 'latency_p50': 2.250338315963745, 'latency_p90': 2.42159640789032}, {'batch_size': 3, 'throughput': 0.8314167277875059, 'latency_mean': 3.5953364849090574, 'latency_p50': 3.6021212339401245, 'latency_p90': 3.8776560544967653}, {'batch_size': 5, 'throughput': 1.0080751578858687, 'latency_mean': 4.932798016071319, 'latency_p50': 4.948783993721008, 'latency_p90': 5.508144354820251}, {'batch_size': 6, 'throughput': 1.066582138317931, 'latency_mean': 5.588453778028488, 'latency_p50': 5.618751287460327, 'latency_p90': 6.272995209693908}, {'batch_size': 10, 'throughput': 1.1771547142145673, 'latency_mean': 8.440902746915818, 'latency_p50': 8.445850610733032, 'latency_p90': 9.424743461608887}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4_lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.85
us_pacific_date: 2025-12-07
win_ratio: 0.5169788335617481
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': ['</s>', 'You:', '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-v4-lr2e6g16-v4-mkmlizer
Waiting for job on chaiml-kimid-v4-lr2e6g16-v4-mkmlizer to finish
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4-lr2e6g16-v4-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-lr2e6g16-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: Downloaded to shared memory in 38.388s
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: Checking if ChaiML/kimid-v4_lr2e6g16 already exists in ChaiML
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmprs0pbfks, device:0
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: 
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chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmprs0pbfks' 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-lr2e6g16-v4-mkmlizer: quantized model in 275.265s
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: Processed model ChaiML/kimid-v4_lr2e6g16 in 313.654s
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/config.json
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/special_tokens_map.json
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/tokenizer_config.json
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/tokenizer.json
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4-lr2e6g16-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4-lr2e6g16-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4-lr2e6g16-v4-mkmlizer completed after 388.16s with status: succeeded
Stopping job with name chaiml-kimid-v4-lr2e6g16-v4-mkmlizer
Pipeline stage MKMLizer completed in 389.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v4-lr2e6g16-v4
Waiting for inference service chaiml-kimid-v4-lr2e6g16-v4 to be ready
Inference service chaiml-kimid-v4-lr2e6g16-v4 ready after 211.3357870578766s
Pipeline stage MKMLDeployer completed in 211.81s
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 2.3738698959350586s
Received healthy response to inference request in 2.6618971824645996s
Received healthy response to inference request in 2.296201705932617s
Received healthy response to inference request in 2.638152837753296s
5 requests
1 failed requests
5th percentile: 2.3117353439331056
10th percentile: 2.3272689819335937
20th percentile: 2.35833625793457
30th percentile: 2.426726484298706
40th percentile: 2.532439661026001
50th percentile: 2.638152837753296
60th percentile: 2.6476505756378175
70th percentile: 2.657148313522339
80th percentile: 6.161110210418704
90th percentile: 13.159536266326906
95th percentile: 16.658749294281
99th percentile: 19.458119716644287
mean time: 6.025616788864136
%s, retrying in %s seconds...
Received healthy response to inference request in 2.264388084411621s
Received healthy response to inference request in 1.9719359874725342s
Received healthy response to inference request in 2.209808826446533s
Received healthy response to inference request in 1.8868050575256348s
Received healthy response to inference request in 1.9575767517089844s
5 requests
0 failed requests
5th percentile: 1.9009593963623046
10th percentile: 1.9151137351989747
20th percentile: 1.9434224128723145
30th percentile: 1.9604485988616944
40th percentile: 1.9661922931671143
50th percentile: 1.9719359874725342
60th percentile: 2.067085123062134
70th percentile: 2.1622342586517336
80th percentile: 2.220724678039551
90th percentile: 2.2425563812255858
95th percentile: 2.2534722328186034
99th percentile: 2.2622049140930174
mean time: 2.0581029415130616
Pipeline stage StressChecker completed in 43.49s
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 1.16s
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-v4-lr2e6g16_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
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 2551.38s
Shutdown handler de-registered
chaiml-kimid-v4-lr2e6g16_v4 status is now torndown due to DeploymentManager action