chaiml-kimid-v3b-lr2e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v3b-lr2e6g32_v2
model_name: test
model_group: ChaiML/kimid-v3b_lr2e6g3
status: torndown
timestamp: 2025-12-12T18:28:08+00:00
num_battles: 6650
num_wins: 3491
celo_rating: 1308.58
family_friendly_score: 0.5005999999999999
family_friendly_standard_error: 0.0070710627206948175
submission_type: basic
model_repo: ChaiML/kimid-v3b_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': 0.438544202825665, 'latency_mean': 2.2802021968364716, 'latency_p50': 2.2808116674423218, 'latency_p90': 2.470555901527405}, {'batch_size': 3, 'throughput': 0.8203422264108452, 'latency_mean': 3.647411161661148, 'latency_p50': 3.6630135774612427, 'latency_p90': 3.9095874547958376}, {'batch_size': 5, 'throughput': 0.997040208035689, 'latency_mean': 4.998788075447083, 'latency_p50': 4.982898473739624, 'latency_p90': 5.460743641853332}, {'batch_size': 6, 'throughput': 1.053190050625052, 'latency_mean': 5.659818320274353, 'latency_p50': 5.64803421497345, 'latency_p90': 6.292689728736877}, {'batch_size': 10, 'throughput': 1.1692564537814765, 'latency_mean': 8.494100490808487, 'latency_p50': 8.492254376411438, 'latency_p90': 9.546817255020141}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v3b_lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-12-06
win_ratio: 0.5249624060150376
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-v3b-lr2e6g32-v2-mkmlizer
Waiting for job on chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer to finish
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v3b-lr2e6g32-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-v3b-lr2e6g32-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: Downloaded to shared memory in 35.875s
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: Checking if ChaiML/kimid-v3b_lr2e6g32 already exists in ChaiML
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpkhx5ph4h, device:0
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: 
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chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpkhx5ph4h' 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-v3b-lr2e6g32-v2-mkmlizer: quantized model in 275.303s
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: Processed model ChaiML/kimid-v3b_lr2e6g32 in 311.179s
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/config.json
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/special_tokens_map.json
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/tokenizer_config.json
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/tokenizer.json
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v3b-lr2e6g32-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer completed after 377.72s with status: succeeded
Stopping job with name chaiml-kimid-v3b-lr2e6g32-v2-mkmlizer
Pipeline stage MKMLizer completed in 378.51s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v3b-lr2e6g32-v2
Waiting for inference service chaiml-kimid-v3b-lr2e6g32-v2 to be ready
Inference service chaiml-kimid-v3b-lr2e6g32-v2 ready after 191.86251020431519s
Pipeline stage MKMLDeployer completed in 192.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.906096935272217s
Received healthy response to inference request in 2.8177130222320557s
Received healthy response to inference request in 2.6279067993164062s
Received healthy response to inference request in 2.4006435871124268s
Received healthy response to inference request in 2.2721266746520996s
5 requests
0 failed requests
5th percentile: 2.297830057144165
10th percentile: 2.3235334396362304
20th percentile: 2.374940204620361
30th percentile: 2.4460962295532225
40th percentile: 2.5370015144348144
50th percentile: 2.6279067993164062
60th percentile: 2.703829288482666
70th percentile: 2.779751777648926
80th percentile: 2.835389804840088
90th percentile: 2.8707433700561524
95th percentile: 2.8884201526641844
99th percentile: 2.9025615787506105
mean time: 2.604897403717041
Pipeline stage StressChecker completed in 14.37s
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 0.79s
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 1.45s
Shutdown handler de-registered
chaiml-kimid-v3b-lr2e6g32_v2 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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v3b-lr2e6g32-v2-profiler
Waiting for inference service chaiml-kimid-v3b-lr2e6g32-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 2546.45s
Shutdown handler de-registered
chaiml-kimid-v3b-lr2e6g32_v2 status is now torndown due to DeploymentManager action