bogoconic1-nemo-280k-av_22695

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-av_22695_v1

model_name: bogoconic1-nemo-280k-av_22695_v1

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T09:27:56+00:00

num_battles: 11050

num_wins: 5185

celo_rating: 1266.6

family_friendly_score: 0.579

family_friendly_standard_error: 0.006982248921371967

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-step400

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6025106883596241, 'latency_mean': 1.6596602928638458, 'latency_p50': 1.6695256233215332, 'latency_p90': 1.8290957927703857}, {'batch_size': 3, 'throughput': 1.1033733593872446, 'latency_mean': 2.705885056257248, 'latency_p50': 2.6803226470947266, 'latency_p90': 3.0370233058929443}, {'batch_size': 5, 'throughput': 1.3304646610169728, 'latency_mean': 3.7387220597267152, 'latency_p50': 3.712522268295288, 'latency_p90': 4.227399086952209}, {'batch_size': 6, 'throughput': 1.4007861828557147, 'latency_mean': 4.26870320558548, 'latency_p50': 4.295166850090027, 'latency_p90': 4.788020443916321}, {'batch_size': 8, 'throughput': 1.465232805875528, 'latency_mean': 5.421045516729355, 'latency_p50': 5.433335542678833, 'latency_p90': 6.203834772109985}, {'batch_size': 10, 'throughput': 1.497110733059948, 'latency_mean': 6.617015877962112, 'latency_p50': 6.597923398017883, 'latency_p90': 7.456552863121033}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-av_22695_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-avg-chai-step400

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-05-02

win_ratio: 0.46923076923076923

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-av-22695-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-22695-v1-mkmlizer to finish
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: Downloaded to shared memory in 46.695s
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn27_w55q, device:0
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: quantized model in 35.960s
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-step400 in 82.655s
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1/config.json
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1/special_tokens_map.json
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1/tokenizer_config.json
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1/tokenizer.json
bogoconic1-nemo-280k-av-22695-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-22695-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-22695-v1-mkmlizer completed after 104.58s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-22695-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.20s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-av-22695-v1
Waiting for inference service bogoconic1-nemo-280k-av-22695-v1 to be ready
Inference service bogoconic1-nemo-280k-av-22695-v1 ready after 160.5336902141571s
Pipeline stage MKMLDeployer completed in 161.10s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7892093658447266s
Received healthy response to inference request in 1.593217372894287s
Received healthy response to inference request in 1.9372541904449463s
Received healthy response to inference request in 1.9810402393341064s
Received healthy response to inference request in 1.6594927310943604s
5 requests
0 failed requests
5th percentile: 1.6064724445343017
10th percentile: 1.6197275161743163
20th percentile: 1.6462376594543457
30th percentile: 1.6854360580444336
40th percentile: 1.73732271194458
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60th percentile: 1.8484272956848145
70th percentile: 1.9076452255249023
80th percentile: 1.9460114002227784
90th percentile: 1.9635258197784424
95th percentile: 1.9722830295562743
99th percentile: 1.97928879737854
mean time: 1.7920427799224854
Pipeline stage StressChecker completed in 10.25s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4890.70s
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