developer_uid: zonemercy
submission_id: chaiml-kimid-v2-cosine-_21546_v5
model_name: test
model_group: ChaiML/kimid-v2_cosine-l
status: torndown
timestamp: 2025-12-12T18:27:55+00:00
num_battles: 7322
num_wins: 3659
celo_rating: 1294.35
family_friendly_score: 0.513
family_friendly_standard_error: 0.007068677386894949
submission_type: basic
model_repo: ChaiML/kimid-v2_cosine-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': 0.4262443758392272, 'latency_mean': 2.3460068488121033, 'latency_p50': 2.3358737230300903, 'latency_p90': 2.547395634651184}, {'batch_size': 2, 'throughput': 0.6346230397058003, 'latency_mean': 3.1454473829269407, 'latency_p50': 3.131569027900696, 'latency_p90': 3.4108677387237547}, {'batch_size': 3, 'throughput': 0.769924691898939, 'latency_mean': 3.889224257469177, 'latency_p50': 3.890554904937744, 'latency_p90': 4.204890608787537}, {'batch_size': 4, 'throughput': 0.8700463227711751, 'latency_mean': 4.582364286184311, 'latency_p50': 4.575311064720154, 'latency_p90': 5.383589601516723}, {'batch_size': 5, 'throughput': 0.9218993529413685, 'latency_mean': 5.392417110204697, 'latency_p50': 5.406411647796631, 'latency_p90': 6.10578134059906}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v2_cosine-lr2e6g32
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-08
win_ratio: 0.49972685058727123
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Starting job with name chaiml-kimid-v2-cosine-21546-v5-mkmlizer
Waiting for job on chaiml-kimid-v2-cosine-21546-v5-mkmlizer to finish
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: bash: no job control in this shell
chaiml-kimid-v2-cosine-21546-v5-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-21546-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: Downloaded to shared memory in 92.405s
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: Checking if ChaiML/kimid-v2_cosine-lr2e6g32 already exists in ChaiML
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp5p982u0u, device:0
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_jotik_2025-11-05: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-7b07-69d4-linear-w01_v7/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n  Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v7/predict\'\\"}, input_type=dict]\\n    For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
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chaiml-kimid-v2-cosine-21546-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmp5p982u0u' 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-21546-v5-mkmlizer: quantized model in 316.831s
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: Processed model ChaiML/kimid-v2_cosine-lr2e6g32 in 409.237s
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia/config.json
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia/special_tokens_map.json
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia/tokenizer_config.json
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v2-cosine-21546-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-21546-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v2-cosine-21546-v5-mkmlizer completed after 481.71s with status: succeeded
Stopping job with name chaiml-kimid-v2-cosine-21546-v5-mkmlizer
Pipeline stage MKMLizer completed in 482.31s
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-v2-cosine-21546-v5
Waiting for inference service chaiml-kimid-v2-cosine-21546-v5 to be ready
Failed to get response for submission blend_talus_2025-12-08: ('http://chaiml-ca18-c13f-linear-w01-v6-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:38330->127.0.0.1:8080: read: connection reset by peer\n')
Failed to get response for submission blend_sagol_2025-12-08: HTTPConnectionPool(host='chaiml-4d70-fd43-linear-w01-v17-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-kimid-v2-cosine-21546-v5 ready after 221.05104422569275s
Pipeline stage MKMLDeployer completed in 221.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2743887901306152s
Received healthy response to inference request in 2.3704545497894287s
Received healthy response to inference request in 2.447779417037964s
Received healthy response to inference request in 2.2788803577423096s
Received healthy response to inference request in 2.5886967182159424s
5 requests
0 failed requests
5th percentile: 2.2752871036529543
10th percentile: 2.276185417175293
20th percentile: 2.2779820442199705
30th percentile: 2.2971951961517334
40th percentile: 2.333824872970581
50th percentile: 2.3704545497894287
60th percentile: 2.4013844966888427
70th percentile: 2.4323144435882567
80th percentile: 2.4759628772735596
90th percentile: 2.532329797744751
95th percentile: 2.5605132579803467
99th percentile: 2.5830600261688232
mean time: 2.392039966583252
Pipeline stage StressChecker completed in 13.26s
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 0.70s
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 0.77s
Shutdown handler de-registered
chaiml-kimid-v2-cosine-_21546_v5 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 2647.13s
Shutdown handler de-registered
chaiml-kimid-v2-cosine-_21546_v5 status is now torndown due to DeploymentManager action