bogoconic1-nemo-280k-s6_46455

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_46455_v1

model_name: bogoconic1-nemo-280k-s6_46455_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-01T15:58:48+00:00

num_battles: 6460

num_wins: 2972

celo_rating: 1257.81

family_friendly_score: 0.5748

family_friendly_standard_error: 0.006991494260885866

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step150

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.610899344663134, 'latency_mean': 1.6368719673156737, 'latency_p50': 1.6261825561523438, 'latency_p90': 1.8180790424346924}, {'batch_size': 3, 'throughput': 1.1028361651867098, 'latency_mean': 2.70907097697258, 'latency_p50': 2.7059834003448486, 'latency_p90': 2.99193217754364}, {'batch_size': 5, 'throughput': 1.3288982356758077, 'latency_mean': 3.739271072149277, 'latency_p50': 3.750356674194336, 'latency_p90': 4.2168032169342045}, {'batch_size': 6, 'throughput': 1.4132422002169076, 'latency_mean': 4.218992885351181, 'latency_p50': 4.225489616394043, 'latency_p90': 4.772214865684509}, {'batch_size': 8, 'throughput': 1.4725795783450069, 'latency_mean': 5.403730852603912, 'latency_p50': 5.385570406913757, 'latency_p90': 6.073845314979553}, {'batch_size': 10, 'throughput': 1.4945441769054868, 'latency_mean': 6.637516487836837, 'latency_p50': 6.641406536102295, 'latency_p90': 7.5308839797973635}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_46455_v1

is_internal_developer: True

language_model: bogoconic1/nemo-280k-s600-chai-step150

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-05-01

win_ratio: 0.460061919504644

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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 bogoconic1-nemo-280k-s6-46455-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-46455-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: Downloaded to shared memory in 41.987s
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb7k0dp5o, device:0
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: quantized model in 37.048s
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step150 in 79.035s
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-46455-v1
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-46455-v1/config.json
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-46455-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-46455-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-46455-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-46455-v1/tokenizer.json
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Job bogoconic1-nemo-280k-s6-46455-v1-mkmlizer completed after 104.51s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-46455-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.98s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-46455-v1
Waiting for inference service bogoconic1-nemo-280k-s6-46455-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-46455-v1 ready after 150.5290687084198s
Pipeline stage MKMLDeployer completed in 151.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.491875410079956s
Received healthy response to inference request in 1.6155683994293213s
Received healthy response to inference request in 1.4481823444366455s
Received healthy response to inference request in 1.6428945064544678s
Received healthy response to inference request in 1.884385347366333s
5 requests
0 failed requests
5th percentile: 1.4816595554351806
10th percentile: 1.5151367664337159
20th percentile: 1.5820911884307862
30th percentile: 1.6210336208343505
40th percentile: 1.6319640636444093
50th percentile: 1.6428945064544678
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80th percentile: 2.0058833599090575
90th percentile: 2.248879384994507
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mean time: 1.8165812015533447
Pipeline stage StressChecker completed in 10.23s
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bogoconic1-nemo-280k-s6_46455_v1 status is now torndown due to DeploymentManager action