chaiml-kimid-v2-cosine-_80852

developer_uid: zonemercy
submission_id: chaiml-kimid-v2-cosine-_80852_v3
model_name: test
model_group: ChaiML/kimid-v2_cosine-l
status: inactive
timestamp: 2025-12-04T18:04:32+00:00
num_battles: 6840
num_wins: 3488
celo_rating: 1297.48
family_friendly_score: 0.5124
family_friendly_standard_error: 0.007068892982638794
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': 0.43837322648696647, 'latency_mean': 2.2810838973522185, 'latency_p50': 2.272193670272827, 'latency_p90': 2.482967972755432}, {'batch_size': 2, 'throughput': 0.662731596686524, 'latency_mean': 3.0148132467269897, 'latency_p50': 3.012034058570862, 'latency_p90': 3.2573763370513915}, {'batch_size': 3, 'throughput': 0.8222310600536054, 'latency_mean': 3.640448514223099, 'latency_p50': 3.6531152725219727, 'latency_p90': 3.9421701431274414}, {'batch_size': 4, 'throughput': 0.9117450897846876, 'latency_mean': 4.371096639633179, 'latency_p50': 4.377755045890808, 'latency_p90': 4.8033242464065555}, {'batch_size': 5, 'throughput': 0.9884012439431246, 'latency_mean': 5.0315460216999055, 'latency_p50': 5.0507179498672485, 'latency_p90': 5.571547484397888}]
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: 0.5099415204678363
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:', 'User:', '</s>'], '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-v3-mkmlizer
Waiting for job on chaiml-kimid-v2-cosine-80852-v3-mkmlizer to finish
chaiml-kimid-v2-cosine-80852-v3-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-v3-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║                                                                     ║
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chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ║                                                                     ║
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: 
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chaiml-kimid-v2-cosine-80852-v3-mkmlizer: The tokenizer you are loading from '/tmp/tmpkoiqrd04' 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-v3-mkmlizer: quantized model in 312.544s
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: Processed model ChaiML/kimid-v2_cosine-lr2e6g16 in 358.965s
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/config.json
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/special_tokens_map.json
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/tokenizer_config.json
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/tokenizer.json
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/flywheel_model.1.safetensors
Failed to get response for submission chaiml-02f4-69d4-linear-w01_v8: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-02f4-69d4-linear-w01_v8/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n  Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v8/predict\'\\"}, input_type=dict]\\n    For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
chaiml-kimid-v2-cosine-80852-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v2-cosine-80852-v3/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v2-cosine-80852-v3-mkmlizer completed after 429.95s with status: succeeded
Stopping job with name chaiml-kimid-v2-cosine-80852-v3-mkmlizer
Pipeline stage MKMLizer completed in 430.52s
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-80852-v3
Waiting for inference service chaiml-kimid-v2-cosine-80852-v3 to be ready
Inference service chaiml-kimid-v2-cosine-80852-v3 ready after 171.01083517074585s
Pipeline stage MKMLDeployer completed in 171.59s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4937243461608887s
Received healthy response to inference request in 2.3683700561523438s
Received healthy response to inference request in 1.9672105312347412s
Received healthy response to inference request in 1.8513095378875732s
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
5 requests
1 failed requests
5th percentile: 1.8744897365570068
10th percentile: 1.8976699352264403
20th percentile: 1.9440303325653077
30th percentile: 2.0474424362182617
40th percentile: 2.2079062461853027
50th percentile: 2.3683700561523438
60th percentile: 2.4185117721557616
70th percentile: 2.4686534881591795
80th percentile: 6.027441930770877
90th percentile: 13.094877099990846
95th percentile: 16.628594684600827
99th percentile: 19.45556875228882
mean time: 5.768585348129273
%s, retrying in %s seconds...
Received healthy response to inference request in 2.1272029876708984s
Received healthy response to inference request in 2.4926111698150635s
Received healthy response to inference request in 2.5089685916900635s
Received healthy response to inference request in 2.3176844120025635s
Received healthy response to inference request in 2.348048448562622s
5 requests
0 failed requests
5th percentile: 2.1652992725372315
10th percentile: 2.2033955574035646
20th percentile: 2.2795881271362304
30th percentile: 2.323757219314575
40th percentile: 2.3359028339385985
50th percentile: 2.348048448562622
60th percentile: 2.4058735370635986
70th percentile: 2.463698625564575
80th percentile: 2.4958826541900634
90th percentile: 2.5024256229400637
95th percentile: 2.5056971073150636
99th percentile: 2.5083142948150634
mean time: 2.3589031219482424
Pipeline stage StressChecker completed in 44.04s
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 0.72s
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 0.67s
Shutdown handler de-registered
chaiml-kimid-v2-cosine-_80852_v3 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 2612.52s
Shutdown handler de-registered