rirv938-prefgrok-r2-cp62_5963

developer_uid: rirv938

submission_id: rirv938-prefgrok-r2-cp62_5963_v1

model_name: rirv938-prefgrok-r2-cp62_5963_v1

model_group: rirv938/prefgrok_r2_cp62

status: torndown

timestamp: 2025-07-09T00:35:33+00:00

num_battles: 6408

num_wins: 3246

celo_rating: 1292.73

family_friendly_score: 0.5686

family_friendly_standard_error: 0.007004199311841433

submission_type: basic

model_repo: rirv938/prefgrok_r2_cp624_98ff_b5_merged

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5212741042259093, 'latency_mean': 1.9182495999336242, 'latency_p50': 1.9249119758605957, 'latency_p90': 2.128729009628296}, {'batch_size': 3, 'throughput': 1.0520982487102253, 'latency_mean': 2.842974461317062, 'latency_p50': 2.8541208505630493, 'latency_p90': 3.1260008811950684}, {'batch_size': 5, 'throughput': 1.3377912319145007, 'latency_mean': 3.7145333981513975, 'latency_p50': 3.7377649545669556, 'latency_p90': 4.122980546951294}, {'batch_size': 6, 'throughput': 1.4387749669029848, 'latency_mean': 4.1423046588897705, 'latency_p50': 4.173338532447815, 'latency_p90': 4.609206700325013}, {'batch_size': 8, 'throughput': 1.548767680983599, 'latency_mean': 5.113777074813843, 'latency_p50': 5.103027939796448, 'latency_p90': 5.784385728836059}, {'batch_size': 10, 'throughput': 1.6491587606641336, 'latency_mean': 6.012653155326843, 'latency_p50': 6.013247013092041, 'latency_p90': 6.7262978792190555}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: rirv938-prefgrok-r2-cp62_5963_v1

is_internal_developer: True

language_model: rirv938/prefgrok_r2_cp624_98ff_b5_merged

model_size: 24B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-07-08

win_ratio: 0.5065543071161048

generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['You:', '\n', '</s>', '###'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': False}

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 rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer
Waiting for job on rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer to finish
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║                                                                     ║
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rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║                                                                     ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║                                                                     ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║                                                                     ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ║                                                                     ║
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Downloaded to shared memory in 222.444s
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Checking if rirv938/prefgrok_r2_cp624_98ff_b5_merged already exists in ChaiML
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Creating repo ChaiML/prefgrok_r2_cp624_98ff_b5_merged and uploading /tmp/tmprvurcwoi to it
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: 
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rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprvurcwoi, device:0
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-park-jimin-mafia_38966_v2: HTTPConnectionPool(host='chaiml-park-jimin-mafia-38966-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-park-jimin-mafia_38966_v2: HTTPConnectionPool(host='chaiml-park-jimin-mafia-38966-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: quantized model in 57.705s
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Processed model rirv938/prefgrok_r2_cp624_98ff_b5_merged in 484.862s
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/config.json
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/special_tokens_map.json
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/tokenizer_config.json
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/tokenizer.json
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/flywheel_model.1.safetensors
rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-prefgrok-r2-cp62-5963-v1/nvidia/flywheel_model.0.safetensors
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Job rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer completed after 517.61s with status: succeeded
Stopping job with name rirv938-prefgrok-r2-cp62-5963-v1-mkmlizer
Pipeline stage MKMLizer completed in 518.62s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-prefgrok-r2-cp62-5963-v1
Waiting for inference service rirv938-prefgrok-r2-cp62-5963-v1 to be ready
Inference service rirv938-prefgrok-r2-cp62-5963-v1 ready after 200.7516486644745s
Pipeline stage MKMLDeployer completed in 201.28s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.481640577316284s
Received healthy response to inference request in 2.063551187515259s
Received healthy response to inference request in 2.0975887775421143s
Received healthy response to inference request in 2.1692347526550293s
Received healthy response to inference request in 2.2134900093078613s
5 requests
0 failed requests
5th percentile: 2.07035870552063
10th percentile: 2.077166223526001
20th percentile: 2.090781259536743
30th percentile: 2.1119179725646973
40th percentile: 2.1405763626098633
50th percentile: 2.1692347526550293
60th percentile: 2.186936855316162
70th percentile: 2.204638957977295
80th percentile: 2.267120122909546
90th percentile: 2.374380350112915
95th percentile: 2.4280104637145996
99th percentile: 2.4709145545959474
mean time: 2.2051010608673094
Pipeline stage StressChecker completed in 12.37s
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 0.59s
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 0.68s
Shutdown handler de-registered
rirv938-prefgrok-r2-cp62_5963_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5419.41s
Shutdown handler de-registered
rirv938-prefgrok-r2-cp62_5963_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-prefgrok-r2-cp62_5963_v1 status is now torndown due to DeploymentManager action