bogoconic1-nemo-280k-s6_21684

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_21684_v1

model_name: bogoconic1-nemo-280k-s6_21684_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-01T15:06:08+00:00

num_battles: 9873

num_wins: 4592

celo_rating: 1262.89

family_friendly_score: 0.596

family_friendly_standard_error: 0.006939510069161943

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step50

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6039525159026098, 'latency_mean': 1.6556719958782196, 'latency_p50': 1.6549216508865356, 'latency_p90': 1.8448240280151367}, {'batch_size': 3, 'throughput': 1.0945766009806723, 'latency_mean': 2.732926557064056, 'latency_p50': 2.7636502981185913, 'latency_p90': 3.0382904767990113}, {'batch_size': 5, 'throughput': 1.3322293084654324, 'latency_mean': 3.737727336883545, 'latency_p50': 3.71560275554657, 'latency_p90': 4.194976711273194}, {'batch_size': 6, 'throughput': 1.3853547260595016, 'latency_mean': 4.302250822782517, 'latency_p50': 4.305694580078125, 'latency_p90': 4.822793006896973}, {'batch_size': 8, 'throughput': 1.458489287401532, 'latency_mean': 5.447206656932831, 'latency_p50': 5.446351647377014, 'latency_p90': 6.118876624107361}, {'batch_size': 10, 'throughput': 1.5007087472516596, 'latency_mean': 6.612169333696365, 'latency_p50': 6.63949978351593, 'latency_p90': 7.394008374214172}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_21684_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step50

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-05-01

win_ratio: 0.46510685708497923

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-s6-21684-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-21684-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: Downloaded to shared memory in 42.951s
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw2nakxo8, device:0
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: quantized model in 36.868s
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step50 in 79.820s
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1/config.json
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1/tokenizer.json
bogoconic1-nemo-280k-s6-21684-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-21684-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-21684-v1-mkmlizer completed after 104.27s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-21684-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.73s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-21684-v1
Waiting for inference service bogoconic1-nemo-280k-s6-21684-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-21684-v1 ready after 150.47991561889648s
Pipeline stage MKMLDeployer completed in 150.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1987791061401367s
Received healthy response to inference request in 2.3902432918548584s
Received healthy response to inference request in 1.9894180297851562s
Received healthy response to inference request in 6.817209959030151s
Received healthy response to inference request in 1.5203516483306885s
5 requests
0 failed requests
5th percentile: 1.6141649246215821
10th percentile: 1.7079782009124755
20th percentile: 1.8956047534942626
30th percentile: 2.0312902450561525
40th percentile: 2.1150346755981446
50th percentile: 2.1987791061401367
60th percentile: 2.2753647804260253
70th percentile: 2.351950454711914
80th percentile: 3.2756366252899176
90th percentile: 5.046423292160035
95th percentile: 5.931816625595092
99th percentile: 6.640131292343139
mean time: 2.9832004070281983
Pipeline stage StressChecker completed in 16.20s
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Running pipeline stage OfflineFamilyFriendlyScorer
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4470.30s
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