bogoconic1-nemo-280k-av_24589

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-av_24589_v3

model_name: bogoconic1-nemo-280k-av_24589_v3

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T17:59:04+00:00

num_battles: 21894

num_wins: 9579

celo_rating: 1238.6

family_friendly_score: 0.593

family_friendly_standard_error: 0.00694767587039004

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.5958115575571403, 'latency_mean': 1.678315176963806, 'latency_p50': 1.6805447340011597, 'latency_p90': 1.8403310298919677}, {'batch_size': 3, 'throughput': 1.0705800697736616, 'latency_mean': 2.7925758457183836, 'latency_p50': 2.804120421409607, 'latency_p90': 3.0786034822463986}, {'batch_size': 5, 'throughput': 1.2913975668147775, 'latency_mean': 3.851073135137558, 'latency_p50': 3.8932708501815796, 'latency_p90': 4.330889821052551}, {'batch_size': 6, 'throughput': 1.3516154310605666, 'latency_mean': 4.410121333599091, 'latency_p50': 4.465395927429199, 'latency_p90': 4.957478499412536}, {'batch_size': 8, 'throughput': 1.4177398875213778, 'latency_mean': 5.620111001729965, 'latency_p50': 5.579061508178711, 'latency_p90': 6.273700141906739}, {'batch_size': 10, 'throughput': 1.4431433303261596, 'latency_mean': 6.88875917673111, 'latency_p50': 6.839253902435303, 'latency_p90': 7.845397496223449}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-av_24589_v3

is_internal_developer: True

language_model: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-05-02

win_ratio: 0.4375171279802686

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': 'Please respond in less than 64 words. \n{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-24589-v3-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-24589-v3-mkmlizer to finish
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: Downloaded to shared memory in 37.171s
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp66h66im_, device:0
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: quantized model in 36.183s
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200 in 73.354s
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3/config.json
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3/special_tokens_map.json
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3/tokenizer_config.json
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3/tokenizer.json
bogoconic1-nemo-280k-av-24589-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v3/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-24589-v3-mkmlizer completed after 94.18s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-24589-v3-mkmlizer
Pipeline stage MKMLizer completed in 94.68s
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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-24589-v3
Waiting for inference service bogoconic1-nemo-280k-av-24589-v3 to be ready
Inference service bogoconic1-nemo-280k-av-24589-v3 ready after 160.5504801273346s
Pipeline stage MKMLDeployer completed in 161.09s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6770145893096924s
Received healthy response to inference request in 1.9384379386901855s
Received healthy response to inference request in 2.1915831565856934s
Received healthy response to inference request in 1.9353680610656738s
Received healthy response to inference request in 1.7960622310638428s
5 requests
0 failed requests
5th percentile: 1.823923397064209
10th percentile: 1.8517845630645753
20th percentile: 1.9075068950653076
30th percentile: 1.9359820365905762
40th percentile: 1.9372099876403808
50th percentile: 1.9384379386901855
60th percentile: 2.0396960258483885
70th percentile: 2.140954113006592
80th percentile: 2.2886694431304933
90th percentile: 2.4828420162200926
95th percentile: 2.5799283027648925
99th percentile: 2.6575973320007322
mean time: 2.1076931953430176
Pipeline stage StressChecker completed in 11.94s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3003.32s
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