developer_uid: rirv938
submission_id: rirv938-20250331-reward_78765_v1
model_name: rirv938-20250331-reward_78765_v1
model_group: rirv938/20250331_reward_
status: inactive
timestamp: 2025-03-31T22:26:38+00:00
num_battles: 10139
num_wins: 5400
celo_rating: 1304.39
family_friendly_score: 0.5382
family_friendly_standard_error: 0.007050400839668621
submission_type: basic
model_repo: rirv938/20250331_reward_ablation_bon_256
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: rirv938-20250331-reward_78765_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: rirv938/20250331_reward_ablation_bon_256
model_size: 8B
ranking_group: single
us_pacific_date: 2025-03-31
win_ratio: 0.5325969030476378
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': 256, '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 rirv938-20250331-reward-78765-v1-mkmlizer
Waiting for job on rirv938-20250331-reward-78765-v1-mkmlizer to finish
rirv938-20250331-reward-78765-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-20250331-reward-78765-v1-mkmlizer: ║ _____ __ __ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ /___/ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ belonging to: ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-20250331-reward-78765-v1-mkmlizer: ║ ║
rirv938-20250331-reward-78765-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-20250331-reward-78765-v1-mkmlizer: Downloaded to shared memory in 33.856s
rirv938-20250331-reward-78765-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpjjqmy6m3, device:0
rirv938-20250331-reward-78765-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-20250331-reward-78765-v1-mkmlizer: quantized model in 87.097s
rirv938-20250331-reward-78765-v1-mkmlizer: Processed model rirv938/20250331_reward_ablation_bon_256 in 120.954s
rirv938-20250331-reward-78765-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-20250331-reward-78765-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-20250331-reward-78765-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1
rirv938-20250331-reward-78765-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1/config.json
rirv938-20250331-reward-78765-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1/special_tokens_map.json
rirv938-20250331-reward-78765-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1/tokenizer_config.json
rirv938-20250331-reward-78765-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1/tokenizer.json
rirv938-20250331-reward-78765-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-20250331-reward-78765-v1/flywheel_model.0.safetensors
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Job rirv938-20250331-reward-78765-v1-mkmlizer completed after 156.47s with status: succeeded
Stopping job with name rirv938-20250331-reward-78765-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.95s
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 rirv938-20250331-reward-78765-v1
Waiting for inference service rirv938-20250331-reward-78765-v1 to be ready
Inference service rirv938-20250331-reward-78765-v1 ready after 110.68401050567627s
Pipeline stage MKMLDeployer completed in 111.09s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.5975394248962402s
Received healthy response to inference request in 4.172374486923218s
Received healthy response to inference request in 3.3841917514801025s
Received healthy response to inference request in 6.354338884353638s
5 requests
1 failed requests
5th percentile: 3.42686128616333
10th percentile: 3.4695308208465576
20th percentile: 3.5548698902130127
30th percentile: 3.7125064373016357
40th percentile: 3.942440462112427
50th percentile: 4.172374486923218
60th percentile: 5.045160245895386
70th percentile: 5.917946004867553
80th percentile: 9.110554456710819
90th percentile: 14.622985601425171
95th percentile: 17.379201173782345
99th percentile: 19.58417363166809
mean time: 7.528772258758545
%s, retrying in %s seconds...
Received healthy response to inference request in 3.541546583175659s
Received healthy response to inference request in 2.721902370452881s
Received healthy response to inference request in 5.007124185562134s
Received healthy response to inference request in 2.8120594024658203s
Received healthy response to inference request in 6.621531963348389s
5 requests
0 failed requests
5th percentile: 2.7399337768554686
10th percentile: 2.7579651832580567
20th percentile: 2.7940279960632326
30th percentile: 2.957956838607788
40th percentile: 3.2497517108917235
50th percentile: 3.541546583175659
60th percentile: 4.127777624130249
70th percentile: 4.7140086650848385
80th percentile: 5.330005741119385
90th percentile: 5.9757688522338865
95th percentile: 6.298650407791137
99th percentile: 6.5569556522369385
mean time: 4.140832901000977
%s, retrying in %s seconds...
Received healthy response to inference request in 3.060447931289673s
Received healthy response to inference request in 4.632453680038452s
Received healthy response to inference request in 2.571347951889038s
Received healthy response to inference request in 2.2981836795806885s
Received healthy response to inference request in 2.889904737472534s
5 requests
0 failed requests
5th percentile: 2.3528165340423586
10th percentile: 2.4074493885040282
20th percentile: 2.516715097427368
30th percentile: 2.6350593090057375
40th percentile: 2.762482023239136
50th percentile: 2.889904737472534
60th percentile: 2.9581220149993896
70th percentile: 3.026339292526245
80th percentile: 3.374849081039429
90th percentile: 4.00365138053894
95th percentile: 4.318052530288696
99th percentile: 4.569573450088501
mean time: 3.090467596054077
Pipeline stage StressChecker completed in 77.96s
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 0.71s
Shutdown handler de-registered
rirv938-20250331-reward_78765_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 0.15s
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 rirv938-20250331-reward-78765-v1-profiler
Waiting for inference service rirv938-20250331-reward-78765-v1-profiler to be ready
Inference service rirv938-20250331-reward-78765-v1-profiler ready after 120.57230687141418s
Pipeline stage MKMLProfilerDeployer completed in 121.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deplodqq6b:/code/chaiverse_profiler_1743460506 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deplodqq6b --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743460506 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743460506/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-78765-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-78765-v1-profiler
Service rirv938-20250331-reward-78765-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.72s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-78765-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.48s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-20250331-reward-78765-v1-profiler
Waiting for inference service rirv938-20250331-reward-78765-v1-profiler to be ready
Inference service rirv938-20250331-reward-78765-v1-profiler ready after 120.44387602806091s
Pipeline stage MKMLProfilerDeployer completed in 120.79s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deploqw8gf:/code/chaiverse_profiler_1743464135 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deploqw8gf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743464135 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743464135/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-78765-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-78765-v1-profiler
Service rirv938-20250331-reward-78765-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.37s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-78765-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-78765-v1-profiler
Service rirv938-20250331-reward-78765-v1-profiler has been torndown
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 rirv938-20250331-reward-78765-v1-profiler
Ignoring service rirv938-20250331-reward-78765-v1-profiler already deployed
Waiting for inference service rirv938-20250331-reward-78765-v1-profiler to be ready
Tearing down inference service rirv938-20250331-reward-78765-v1-profiler
%s, retrying in %s seconds...
Creating inference service rirv938-20250331-reward-78765-v1-profiler
Waiting for inference service rirv938-20250331-reward-78765-v1-profiler to be ready
Inference service rirv938-20250331-reward-78765-v1-profiler ready after 80.32936930656433s
Pipeline stage MKMLProfilerDeployer completed in 91.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deploksh89:/code/chaiverse_profiler_1743467732 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-20250331-rewd867fad13636d046deb88e5f51141c9e-deploksh89 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1743467732 && 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 256 --output_tokens 1 --summary /code/chaiverse_profiler_1743467732/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rirv938-20250331-reward-78765-v1-profiler is running
Tearing down inference service rirv938-20250331-reward-78765-v1-profiler
Service rirv938-20250331-reward-78765-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.57s
Shutdown handler de-registered
rirv938-20250331-reward_78765_v1 status is now inactive due to auto deactivation removed underperforming models
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