developer_uid: zonemercy
submission_id: chaiml-kimid-v2-cosine-_80852_v2
model_name: test
model_group: ChaiML/kimid-v2_cosine-l
status: inactive
timestamp: 2025-12-04T18:01:14+00:00
num_battles: 10881
num_wins: 5642
celo_rating: 1304.64
family_friendly_score: 0.5094000000000001
family_friendly_standard_error: 0.007069818102327669
submission_type: basic
model_repo: ChaiML/kimid-v2_cosine-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': 0.4397205672866081, 'latency_mean': 2.2741072857379914, 'latency_p50': 2.2777035236358643, 'latency_p90': 2.4785879850387573}, {'batch_size': 3, 'throughput': 0.8169546472227374, 'latency_mean': 3.664589773416519, 'latency_p50': 3.678887128829956, 'latency_p90': 4.011465311050415}, {'batch_size': 5, 'throughput': 0.9980181234474168, 'latency_mean': 5.001810348033905, 'latency_p50': 4.992757081985474, 'latency_p90': 5.573318004608154}, {'batch_size': 6, 'throughput': 1.0523953505753196, 'latency_mean': 5.670944842100144, 'latency_p50': 5.680502772331238, 'latency_p90': 6.2897735118865965}, {'batch_size': 10, 'throughput': 1.1524704536469492, 'latency_mean': 8.607868167161941, 'latency_p50': 8.633275747299194, 'latency_p90': 9.678046560287475}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v2_cosine-lr2e6g16
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-12-04
win_ratio: 0.5185185185185185
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-v2-cosine-80852-v2-mkmlizer
Waiting for job on chaiml-kimid-v2-cosine-80852-v2-mkmlizer to finish
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: bash: no job control in this shell
chaiml-kimid-v2-cosine-80852-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-v2-cosine-80852-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Downloaded to shared memory in 47.927s
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Checking if ChaiML/kimid-v2_cosine-lr2e6g16 already exists in ChaiML
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpdt9cnk97, device:0
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Stopping job with name chaiml-kimid-v2-cosine-80852-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-kimid-v2-cosine-80852-v2-mkmlizer
Waiting for job on chaiml-kimid-v2-cosine-80852-v2-mkmlizer to finish
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chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Downloaded to shared memory in 49.020s
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Checking if ChaiML/kimid-v2_cosine-lr2e6g16 already exists in ChaiML
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpe4a763gs, device:0
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: 
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chaiml-kimid-v2-cosine-80852-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpe4a763gs' 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-v2-cosine-80852-v2-mkmlizer: quantized model in 315.984s
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Processed model ChaiML/kimid-v2_cosine-lr2e6g16 in 365.005s
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia/config.json
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia/special_tokens_map.json
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia/tokenizer_config.json
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia/tokenizer.json
chaiml-kimid-v2-cosine-80852-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v2/nvidia/flywheel_model.1.safetensors
Job chaiml-kimid-v2-cosine-80852-v2-mkmlizer completed after 480.26s with status: succeeded
Stopping job with name chaiml-kimid-v2-cosine-80852-v2-mkmlizer
Pipeline stage MKMLizer completed in 779.62s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
%s, retrying in %s seconds...
Creating inference service chaiml-kimid-v2-cosine-80852-v2
Waiting for inference service chaiml-kimid-v2-cosine-80852-v2 to be ready
Inference service chaiml-kimid-v2-cosine-80852-v2 ready after 181.5004918575287s
Pipeline stage MKMLDeployer completed in 182.45s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6251938343048096s
Received healthy response to inference request in 2.3582305908203125s
Received healthy response to inference request in 2.9998505115509033s
Received healthy response to inference request in 2.5463221073150635s
Received healthy response to inference request in 2.0296711921691895s
5 requests
0 failed requests
5th percentile: 2.095383071899414
10th percentile: 2.1610949516296385
20th percentile: 2.292518711090088
30th percentile: 2.3958488941192626
40th percentile: 2.4710855007171633
50th percentile: 2.5463221073150635
60th percentile: 2.577870798110962
70th percentile: 2.6094194889068603
80th percentile: 2.7001251697540285
90th percentile: 2.849987840652466
95th percentile: 2.9249191761016844
99th percentile: 2.9848642444610594
mean time: 2.511853647232056
Pipeline stage StressChecker completed in 13.86s
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 0.69s
Shutdown handler de-registered
chaiml-kimid-v2-cosine-_80852_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 0.12s
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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-v2-cosine-80852-v2-profiler
Waiting for inference service chaiml-kimid-v2-cosine-80852-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 2289.00s
Shutdown handler de-registered