developer_uid: rirv938
submission_id: rirv938-reward-model-ret_4859_v1
model_name: rirv938-reward-model-ret_4859_v1
model_group: rirv938/reward_model_ret
status: inactive
timestamp: 2025-03-30T00:45:22+00:00
num_battles: 8783
num_wins: 4785
celo_rating: 1315.22
family_friendly_score: 0.5426
family_friendly_standard_error: 0.007045356484948083
submission_type: basic
model_repo: rirv938/reward_model_retuned_2_old_multihead
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 1
display_name: rirv938-reward-model-ret_4859_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: rirv938/reward_model_retuned_2_old_multihead
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-29
win_ratio: 0.544802459296368
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', '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-reward-model-ret-4859-v1-mkmlizer
Waiting for job on rirv938-reward-model-ret-4859-v1-mkmlizer to finish
rirv938-reward-model-ret-4859-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-reward-model-ret-4859-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║       /___/                                                         ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║                                                                     ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║                                                                     ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║                                                                     ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ║                                                                     ║
rirv938-reward-model-ret-4859-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-reward-model-ret-4859-v1-mkmlizer: Downloaded to shared memory in 29.678s
rirv938-reward-model-ret-4859-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpgpc7j53t, device:0
rirv938-reward-model-ret-4859-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-reward-model-ret-4859-v1-mkmlizer: quantized model in 84.980s
rirv938-reward-model-ret-4859-v1-mkmlizer: Processed model rirv938/reward_model_retuned_2_old_multihead in 114.658s
rirv938-reward-model-ret-4859-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-reward-model-ret-4859-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1
rirv938-reward-model-ret-4859-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1/config.json
rirv938-reward-model-ret-4859-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1/special_tokens_map.json
rirv938-reward-model-ret-4859-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1/tokenizer_config.json
rirv938-reward-model-ret-4859-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1/tokenizer.json
rirv938-reward-model-ret-4859-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-reward-model-ret-4859-v1/flywheel_model.0.safetensors
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Job rirv938-reward-model-ret-4859-v1-mkmlizer completed after 145.29s with status: succeeded
Stopping job with name rirv938-reward-model-ret-4859-v1-mkmlizer
Pipeline stage MKMLizer completed in 145.74s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-reward-model-ret-4859-v1
Waiting for inference service rirv938-reward-model-ret-4859-v1 to be ready
Inference service rirv938-reward-model-ret-4859-v1 ready after 120.6482162475586s
Pipeline stage MKMLDeployer completed in 121.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.794432640075684s
Received healthy response to inference request in 2.864349126815796s
Received healthy response to inference request in 4.364588022232056s
Received healthy response to inference request in 2.4846057891845703s
Received healthy response to inference request in 2.0200324058532715s
5 requests
0 failed requests
5th percentile: 2.1129470825195313
10th percentile: 2.205861759185791
20th percentile: 2.3916911125183105
30th percentile: 2.5605544567108156
40th percentile: 2.7124517917633058
50th percentile: 2.864349126815796
60th percentile: 3.4644446849822996
70th percentile: 4.064540243148803
80th percentile: 4.450556945800781
90th percentile: 4.622494792938232
95th percentile: 4.708463716506958
99th percentile: 4.777238855361938
mean time: 3.3056015968322754
%s, retrying in %s seconds...
Received healthy response to inference request in 2.5865416526794434s
Received healthy response to inference request in 3.338125228881836s
Received healthy response to inference request in 3.2505974769592285s
Received healthy response to inference request in 5.035979747772217s
Received healthy response to inference request in 2.641815662384033s
5 requests
0 failed requests
5th percentile: 2.597596454620361
10th percentile: 2.6086512565612794
20th percentile: 2.6307608604431154
30th percentile: 2.763572025299072
40th percentile: 3.0070847511291503
50th percentile: 3.2505974769592285
60th percentile: 3.2856085777282713
70th percentile: 3.3206196784973145
80th percentile: 3.6776961326599125
90th percentile: 4.356837940216065
95th percentile: 4.69640884399414
99th percentile: 4.968065567016602
mean time: 3.3706119537353514
Pipeline stage StressChecker completed in 36.24s
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 0.76s
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 0.81s
Shutdown handler de-registered
rirv938-reward-model-ret_4859_v1 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
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-reward-model-ret-4859-v1-profiler
Waiting for inference service rirv938-reward-model-ret-4859-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
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-ret-4859-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.52s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-reward-model-ret-4859-v1-profiler
Waiting for inference service rirv938-reward-model-ret-4859-v1-profiler to be ready
Inference service rirv938-reward-model-ret-4859-v1-profiler ready after 110.42603015899658s
Pipeline stage MKMLProfilerDeployer completed in 110.77s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-reward-modeldb7e077b557eba004e5056a7a2122a41-deplokcr6v:/code/chaiverse_profiler_1743299627 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-reward-modeldb7e077b557eba004e5056a7a2122a41-deplokcr6v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743299627 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743299627/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-ret-4859-v1-profiler is running
Tearing down inference service rirv938-reward-model-ret-4859-v1-profiler
Service rirv938-reward-model-ret-4859-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.33s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-ret-4859-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.64s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-reward-model-ret-4859-v1-profiler
Waiting for inference service rirv938-reward-model-ret-4859-v1-profiler to be ready
Inference service rirv938-reward-model-ret-4859-v1-profiler ready after 60.30067038536072s
Pipeline stage MKMLProfilerDeployer completed in 60.66s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-reward-modeldb7e077b557eba004e5056a7a2122a41-deplo9bp8b:/code/chaiverse_profiler_1743303197 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-reward-modeldb7e077b557eba004e5056a7a2122a41-deplo9bp8b --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743303197 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 1 --summary /code/chaiverse_profiler_1743303197/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-reward-model-ret-4859-v1-profiler is running
Tearing down inference service rirv938-reward-model-ret-4859-v1-profiler
Service rirv938-reward-model-ret-4859-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.28s
Shutdown handler de-registered
rirv938-reward-model-ret_4859_v1 status is now inactive due to auto deactivation removed underperforming models
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