chaiml-kimid-v4a-lr5e6g32

developer_uid: zonemercy
submission_id: chaiml-kimid-v4a-lr5e6g32_v4
model_name: test
model_group: ChaiML/kimid-v4a_lr5e6g3
status: torndown
timestamp: 2025-12-12T18:28:21+00:00
num_battles: 7195
num_wins: 3652
celo_rating: 1301.58
family_friendly_score: 0.497
family_friendly_standard_error: 0.007070940531499328
submission_type: basic
model_repo: ChaiML/kimid-v4a_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': 0.43352728422984405, 'latency_mean': 2.3065820252895355, 'latency_p50': 2.325292944908142, 'latency_p90': 2.495820903778076}, {'batch_size': 2, 'throughput': 0.6648967106582248, 'latency_mean': 3.0044911420345306, 'latency_p50': 3.0082287788391113, 'latency_p90': 3.2501068830490114}, {'batch_size': 3, 'throughput': 0.8179220766304677, 'latency_mean': 3.659122692346573, 'latency_p50': 3.6142839193344116, 'latency_p90': 4.146920347213745}, {'batch_size': 4, 'throughput': 0.926473066473119, 'latency_mean': 4.310957244634628, 'latency_p50': 4.283842444419861, 'latency_p90': 4.691026592254639}, {'batch_size': 5, 'throughput': 0.9879036829145134, 'latency_mean': 5.051505646705627, 'latency_p50': 5.059202313423157, 'latency_p90': 5.612004995346069}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v4a_lr5e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-12-07
win_ratio: 0.5075747046560111
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>', 'User:', '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-v4a-lr5e6g32-v4-mkmlizer
Waiting for job on chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer to finish
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: bash: no job control in this shell
chaiml-kimid-v4a-lr5e6g32-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-v4a-lr5e6g32-v4-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ║                                                                     ║
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: Downloaded to shared memory in 36.065s
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: Checking if ChaiML/kimid-v4a_lr5e6g32 already exists in ChaiML
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbqug_wk_, device:0
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: 
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chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: The tokenizer you are loading from '/tmp/tmpbqug_wk_' 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-v4a-lr5e6g32-v4-mkmlizer: quantized model in 276.291s
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: Processed model ChaiML/kimid-v4a_lr5e6g32 in 312.356s
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/config.json
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/special_tokens_map.json
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/tokenizer_config.json
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/tokenizer.json
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v4a-lr5e6g32-v4/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer completed after 388.89s with status: succeeded
Stopping job with name chaiml-kimid-v4a-lr5e6g32-v4-mkmlizer
Pipeline stage MKMLizer completed in 389.39s
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-v4a-lr5e6g32-v4
Waiting for inference service chaiml-kimid-v4a-lr5e6g32-v4 to be ready
Inference service chaiml-kimid-v4a-lr5e6g32-v4 ready after 201.08799004554749s
Pipeline stage MKMLDeployer completed in 202.04s
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 2.5012400150299072s
Received healthy response to inference request in 2.2838339805603027s
Received healthy response to inference request in 2.8399174213409424s
Received healthy response to inference request in 2.935181140899658s
5 requests
1 failed requests
5th percentile: 2.3273151874542237
10th percentile: 2.3707963943481447
20th percentile: 2.4577588081359862
30th percentile: 2.568975496292114
40th percentile: 2.7044464588165282
50th percentile: 2.8399174213409424
60th percentile: 2.8780229091644287
70th percentile: 2.916128396987915
80th percentile: 6.390443134307864
90th percentile: 13.30096712112427
95th percentile: 16.756229114532466
99th percentile: 19.520438709259032
mean time: 6.1543327331542965
%s, retrying in %s seconds...
Received healthy response to inference request in 2.1169679164886475s
Received healthy response to inference request in 2.0041441917419434s
Received healthy response to inference request in 2.2889766693115234s
Received healthy response to inference request in 2.0296921730041504s
Received healthy response to inference request in 2.437655210494995s
5 requests
0 failed requests
5th percentile: 2.0092537879943846
10th percentile: 2.0143633842468263
20th percentile: 2.024582576751709
30th percentile: 2.0471473217010496
40th percentile: 2.0820576190948485
50th percentile: 2.1169679164886475
60th percentile: 2.185771417617798
70th percentile: 2.254574918746948
80th percentile: 2.3187123775482177
90th percentile: 2.3781837940216066
95th percentile: 2.407919502258301
99th percentile: 2.4317080688476564
mean time: 2.175487232208252
Pipeline stage StressChecker completed in 45.99s
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 1.09s
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 2.03s
Shutdown handler de-registered
chaiml-kimid-v4a-lr5e6g32_v4 status is now deployed due to DeploymentManager action
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 2648.46s
Shutdown handler de-registered
chaiml-kimid-v4a-lr5e6g32_v4 status is now torndown due to DeploymentManager action