bogoconic1-nemo-280k-av_20879

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-av_20879_v1

model_name: bogoconic1-nemo-280k-av_20879_v1

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T12:35:53+00:00

num_battles: 7290

num_wins: 3550

celo_rating: 1275.37

family_friendly_score: 0.5816

family_friendly_standard_error: 0.006976266049972578

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-step800

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6084309922072326, 'latency_mean': 1.6435078299045562, 'latency_p50': 1.6583110094070435, 'latency_p90': 1.8080535173416137}, {'batch_size': 3, 'throughput': 1.107511944970194, 'latency_mean': 2.6956266021728514, 'latency_p50': 2.7195714712142944, 'latency_p90': 2.961483430862427}, {'batch_size': 5, 'throughput': 1.352951805019222, 'latency_mean': 3.6868559765815734, 'latency_p50': 3.688187003135681, 'latency_p90': 4.141776466369629}, {'batch_size': 6, 'throughput': 1.4177644430820606, 'latency_mean': 4.203345370292664, 'latency_p50': 4.2111896276474, 'latency_p90': 4.726217746734619}, {'batch_size': 8, 'throughput': 1.4789699901167783, 'latency_mean': 5.364308768510819, 'latency_p50': 5.343210935592651, 'latency_p90': 6.011397767066955}, {'batch_size': 10, 'throughput': 1.5251250790544502, 'latency_mean': 6.51885613322258, 'latency_p50': 6.557815313339233, 'latency_p90': 7.313929009437561}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-av_20879_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-avg-chai-step800

model_size: 13B

ranking_group: single

throughput_3p7s: 1.36

us_pacific_date: 2025-05-02

win_ratio: 0.4869684499314129

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-20879-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-20879-v1-mkmlizer to finish
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: Downloaded to shared memory in 42.553s
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkcoj9ymz, device:0
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: quantized model in 36.750s
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-step800 in 79.304s
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1/config.json
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1/special_tokens_map.json
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1/tokenizer_config.json
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1/tokenizer.json
bogoconic1-nemo-280k-av-20879-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-20879-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-20879-v1-mkmlizer completed after 104.74s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-20879-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.20s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-av-20879-v1
Waiting for inference service bogoconic1-nemo-280k-av-20879-v1 to be ready
Inference service bogoconic1-nemo-280k-av-20879-v1 ready after 150.48432612419128s
Pipeline stage MKMLDeployer completed in 151.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.317108631134033s
Received healthy response to inference request in 1.7398452758789062s
Received healthy response to inference request in 1.4304087162017822s
Received healthy response to inference request in 1.8721468448638916s
Received healthy response to inference request in 1.6408677101135254s
5 requests
0 failed requests
5th percentile: 1.4725005149841308
10th percentile: 1.5145923137664794
20th percentile: 1.5987759113311768
30th percentile: 1.6606632232666017
40th percentile: 1.700254249572754
50th percentile: 1.7398452758789062
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70th percentile: 1.8456865310668946
80th percentile: 1.96113920211792
90th percentile: 2.1391239166259766
95th percentile: 2.228116273880005
99th percentile: 2.2993101596832277
mean time: 1.8000754356384276
Pipeline stage StressChecker completed in 10.32s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4484.40s
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