bogoconic1-nemo-280k-s6_32719

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_32719_v1

model_name: bogoconic1-nemo-280k-s6_32719_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-01T23:53:10+00:00

num_battles: 5390

num_wins: 2626

celo_rating: 1272.04

family_friendly_score: 0.5868

family_friendly_standard_error: 0.006963702463488802

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step300

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.6048169535629677, 'latency_mean': 1.6533293902873993, 'latency_p50': 1.6546351909637451, 'latency_p90': 1.80846209526062}, {'batch_size': 3, 'throughput': 1.0937757596212012, 'latency_mean': 2.727156717777252, 'latency_p50': 2.730842113494873, 'latency_p90': 3.008684015274048}, {'batch_size': 5, 'throughput': 1.3367551956010442, 'latency_mean': 3.7198475670814513, 'latency_p50': 3.7419975996017456, 'latency_p90': 4.185125422477722}, {'batch_size': 6, 'throughput': 1.4004288343858424, 'latency_mean': 4.265974143743515, 'latency_p50': 4.269698619842529, 'latency_p90': 4.754131889343261}, {'batch_size': 8, 'throughput': 1.462639106482388, 'latency_mean': 5.437778726816178, 'latency_p50': 5.3776092529296875, 'latency_p90': 6.1636394739151}, {'batch_size': 10, 'throughput': 1.5099852046035651, 'latency_mean': 6.568201025724411, 'latency_p50': 6.5658652782440186, 'latency_p90': 7.371082353591919}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_32719_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step300

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-05-01

win_ratio: 0.48719851576994433

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-s6-32719-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-32719-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: Downloaded to shared memory in 50.517s
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_n6tsepv, device:0
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: quantized model in 36.502s
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step300 in 87.019s
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1/config.json
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1/tokenizer.json
bogoconic1-nemo-280k-s6-32719-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-32719-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-32719-v1-mkmlizer completed after 114.8s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-32719-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.28s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-32719-v1
Waiting for inference service bogoconic1-nemo-280k-s6-32719-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-32719-v1 ready after 150.50590014457703s
Pipeline stage MKMLDeployer completed in 150.98s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3207807540893555s
Received healthy response to inference request in 1.2804853916168213s
Received healthy response to inference request in 1.9715628623962402s
Received healthy response to inference request in 1.5465247631072998s
Received healthy response to inference request in 1.6673803329467773s
5 requests
0 failed requests
5th percentile: 1.333693265914917
10th percentile: 1.3869011402130127
20th percentile: 1.493316888809204
30th percentile: 1.5706958770751953
40th percentile: 1.6190381050109863
50th percentile: 1.6673803329467773
60th percentile: 1.7890533447265624
70th percentile: 1.9107263565063477
80th percentile: 2.0414064407348635
90th percentile: 2.1810935974121093
95th percentile: 2.250937175750732
99th percentile: 2.3068120384216306
mean time: 1.7573468208312988
Pipeline stage StressChecker completed in 10.03s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2783.45s
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bogoconic1-nemo-280k-s6_32719_v1 status is now torndown due to DeploymentManager action