developer_uid: rirv938
submission_id: rirv938-0sw-95p-5ff-rin_34350_v1
model_name: rirv938-0sw-95p-5ff-rin_34350_v1
model_group: rirv938/0sw_95p_5ff_rine
status: inactive
timestamp: 2025-03-19T16:30:03+00:00
num_battles: 7092
num_wins: 3816
celo_rating: 1305.35
family_friendly_score: 0.5508
family_friendly_standard_error: 0.007034477379308288
submission_type: basic
model_repo: rirv938/0sw_95p_5ff_rinen0721_dpo_0130_cp3000_v8_merge
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6033046353508099, 'latency_mean': 1.657473899126053, 'latency_p50': 1.6602495908737183, 'latency_p90': 1.8252137660980225}, {'batch_size': 3, 'throughput': 1.117588826960656, 'latency_mean': 2.6735690069198608, 'latency_p50': 2.6953121423721313, 'latency_p90': 2.919496464729309}, {'batch_size': 5, 'throughput': 1.358649573515372, 'latency_mean': 3.66422039270401, 'latency_p50': 3.677474021911621, 'latency_p90': 4.0495048522949215}, {'batch_size': 6, 'throughput': 1.420819173405808, 'latency_mean': 4.198929992914199, 'latency_p50': 4.2009793519973755, 'latency_p90': 4.682886338233947}, {'batch_size': 8, 'throughput': 1.4860415470786357, 'latency_mean': 5.345911197662353, 'latency_p50': 5.35034453868866, 'latency_p90': 6.03419063091278}, {'batch_size': 10, 'throughput': 1.530676916870161, 'latency_mean': 6.473323912620544, 'latency_p50': 6.480904459953308, 'latency_p90': 7.397124648094177}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rirv938-0sw-95p-5ff-rin_34350_v1
is_internal_developer: True
language_model: rirv938/0sw_95p_5ff_rinen0721_dpo_0130_cp3000_v8_merge
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2025-03-19
win_ratio: 0.5380710659898477
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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': '{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 rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer
Waiting for job on rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer to finish
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║       /___/                                                         ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║                                                                     ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║                                                                     ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║                                                                     ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ║                                                                     ║
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: Downloaded to shared memory in 94.576s
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwmo9eccb, device:0
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: quantized model in 42.256s
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: Processed model rirv938/0sw_95p_5ff_rinen0721_dpo_0130_cp3000_v8_merge in 136.833s
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1/config.json
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1/special_tokens_map.json
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1/tokenizer_config.json
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1/tokenizer.json
rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-0sw-95p-5ff-rin-34350-v1/flywheel_model.0.safetensors
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Job rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer completed after 165.71s with status: succeeded
Stopping job with name rirv938-0sw-95p-5ff-rin-34350-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.40s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-0sw-95p-5ff-rin-34350-v1
Waiting for inference service rirv938-0sw-95p-5ff-rin-34350-v1 to be ready
Inference service rirv938-0sw-95p-5ff-rin-34350-v1 ready after 90.34533357620239s
Pipeline stage MKMLDeployer completed in 90.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.068591594696045s
Received healthy response to inference request in 1.5895650386810303s
Received healthy response to inference request in 1.47072172164917s
Received healthy response to inference request in 1.6770343780517578s
Received healthy response to inference request in 1.6806566715240479s
5 requests
0 failed requests
5th percentile: 1.494490385055542
10th percentile: 1.518259048461914
20th percentile: 1.5657963752746582
30th percentile: 1.6070589065551757
40th percentile: 1.6420466423034668
50th percentile: 1.6770343780517578
60th percentile: 1.6784832954406739
70th percentile: 1.67993221282959
80th percentile: 1.7582436561584474
90th percentile: 1.9134176254272461
95th percentile: 1.9910046100616454
99th percentile: 2.053074197769165
mean time: 1.6973138809204102
Pipeline stage StressChecker completed in 9.97s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.80s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
Shutdown handler de-registered
rirv938-0sw-95p-5ff-rin_34350_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-0sw-95p-5ff-rin-34350-v1-profiler
Waiting for inference service rirv938-0sw-95p-5ff-rin-34350-v1-profiler to be ready
Inference service rirv938-0sw-95p-5ff-rin-34350-v1-profiler ready after 90.3563859462738s
Pipeline stage MKMLProfilerDeployer completed in 90.76s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rirv938-0sw-95p-5ff-4569e56c85af4d621f2779ec71b59848-deplo46glq:/code/chaiverse_profiler_1742402271 --namespace tenant-chaiml-guanaco
kubectl exec -it rirv938-0sw-95p-5ff-4569e56c85af4d621f2779ec71b59848-deplo46glq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1742402271 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1742402271/summary.json'
Shutdown handler registered
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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 4523.19s
Shutdown handler de-registered
rirv938-0sw-95p-5ff-rin_34350_v1 status is now inactive due to auto deactivation removed underperforming models
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