rirv938-gy-grpo-r2-cp62_33770

developer_uid: rirv938

submission_id: rirv938-gy-grpo-r2-cp62_33770_v1

model_name: rirv938-gy-grpo-r2-cp62_33770_v1

model_group: rirv938/gy_grpo_r2_cp624

status: torndown

timestamp: 2025-07-09T05:01:58+00:00

num_battles: 6434

num_wins: 3434

celo_rating: 1315.72

family_friendly_score: 0.504

family_friendly_standard_error: 0.007070841534074993

submission_type: basic

model_repo: rirv938/gy_grpo_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': 0.5195251859687636, 'latency_mean': 1.9247221457958221, 'latency_p50': 1.915917158126831, 'latency_p90': 2.127542591094971}, {'batch_size': 3, 'throughput': 1.0542142395217886, 'latency_mean': 2.831295794248581, 'latency_p50': 2.8224023580551147, 'latency_p90': 3.1775781154632567}, {'batch_size': 5, 'throughput': 1.3427146816791649, 'latency_mean': 3.6982932186126707, 'latency_p50': 3.69042706489563, 'latency_p90': 4.103878998756409}, {'batch_size': 6, 'throughput': 1.4536629906151453, 'latency_mean': 4.111590610742569, 'latency_p50': 4.089350938796997, 'latency_p90': 4.64243426322937}, {'batch_size': 8, 'throughput': 1.5855508585262248, 'latency_mean': 5.011752432584762, 'latency_p50': 5.017446517944336, 'latency_p90': 5.540090727806091}, {'batch_size': 10, 'throughput': 1.6791965054586044, 'latency_mean': 5.879438939094544, 'latency_p50': 5.828908920288086, 'latency_p90': 6.668065810203552}]

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

display_name: rirv938-gy-grpo-r2-cp62_33770_v1

is_internal_developer: True

language_model: rirv938/gy_grpo_r2_cp624_98ff_b5_merged

model_size: 24B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-07-08

win_ratio: 0.5337270749145167

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:', '###', '</s>', '\n'], '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-gy-grpo-r2-cp62-33770-v1-mkmlizer
Waiting for job on rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer to finish
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rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║                                                                     ║
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rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║                                                                     ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║                                                                     ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║                                                                     ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ║                                                                     ║
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Downloaded to shared memory in 170.017s
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Checking if rirv938/gy_grpo_r2_cp624_98ff_b5_merged already exists in ChaiML
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Creating repo ChaiML/gy_grpo_r2_cp624_98ff_b5_merged and uploading /tmp/tmprb__tjte to it
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: 
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rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprb__tjte, device:0
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: quantized model in 54.659s
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Processed model rirv938/gy_grpo_r2_cp624_98ff_b5_merged in 420.478s
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/config.json
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/special_tokens_map.json
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/tokenizer_config.json
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/tokenizer.json
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/flywheel_model.1.safetensors
rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-gy-grpo-r2-cp62-33770-v1/nvidia/flywheel_model.0.safetensors
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Job rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer completed after 453.95s with status: succeeded
Stopping job with name rirv938-gy-grpo-r2-cp62-33770-v1-mkmlizer
Pipeline stage MKMLizer completed in 454.43s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-gy-grpo-r2-cp62-33770-v1
Waiting for inference service rirv938-gy-grpo-r2-cp62-33770-v1 to be ready
Inference service rirv938-gy-grpo-r2-cp62-33770-v1 ready after 200.96532559394836s
Pipeline stage MKMLDeployer completed in 201.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.82621693611145s
Received healthy response to inference request in 2.1804850101470947s
Received healthy response to inference request in 2.035553216934204s
Received healthy response to inference request in 2.0933306217193604s
Received healthy response to inference request in 1.86387038230896s
5 requests
0 failed requests
5th percentile: 1.8982069492340088
10th percentile: 1.9325435161590576
20th percentile: 2.0012166500091553
30th percentile: 2.047108697891235
40th percentile: 2.0702196598052978
50th percentile: 2.0933306217193604
60th percentile: 2.1281923770904543
70th percentile: 2.1630541324615478
80th percentile: 2.309631395339966
90th percentile: 2.567924165725708
95th percentile: 2.697070550918579
99th percentile: 2.800387659072876
mean time: 2.199891233444214
Pipeline stage StressChecker completed in 12.82s
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 0.74s
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 0.79s
Shutdown handler de-registered
rirv938-gy-grpo-r2-cp62_33770_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-gy-grpo-r2-cp62-33770-v1-profiler
Waiting for inference service rirv938-gy-grpo-r2-cp62-33770-v1-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3379.58s
Shutdown handler de-registered
rirv938-gy-grpo-r2-cp62_33770_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-gy-grpo-r2-cp62_33770_v1 status is now torndown due to DeploymentManager action