bogoconic1-nemo-280k-s6_88504

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_88504_v2

model_name: bogoconic1-nemo-280k-s6_88504_v2

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T00:44:03+00:00

num_battles: 6639

num_wins: 3260

celo_rating: 1281.25

family_friendly_score: 0.5788

family_friendly_standard_error: 0.006982700910106346

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step1000

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6061763515918803, 'latency_mean': 1.649627239704132, 'latency_p50': 1.6527663469314575, 'latency_p90': 1.8075486898422242}, {'batch_size': 3, 'throughput': 1.1005580488891622, 'latency_mean': 2.7171240496635436, 'latency_p50': 2.7139370441436768, 'latency_p90': 2.95829656124115}, {'batch_size': 5, 'throughput': 1.3353478304697586, 'latency_mean': 3.7318904876708983, 'latency_p50': 3.7298038005828857, 'latency_p90': 4.177835750579834}, {'batch_size': 6, 'throughput': 1.4036243636061034, 'latency_mean': 4.254139660596848, 'latency_p50': 4.251957416534424, 'latency_p90': 4.732479548454284}, {'batch_size': 8, 'throughput': 1.4590370122790877, 'latency_mean': 5.447531458139419, 'latency_p50': 5.448863506317139, 'latency_p90': 6.153613591194153}, {'batch_size': 10, 'throughput': 1.5155696347575334, 'latency_mean': 6.548087579011917, 'latency_p50': 6.527630686759949, 'latency_p90': 7.390825366973877}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_88504_v2

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step1000

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-05-01

win_ratio: 0.4910378068986293

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': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}

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-s6-88504-v2-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-88504-v2-mkmlizer to finish
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: Downloaded to shared memory in 36.636s
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxtdio798, device:0
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: quantized model in 36.410s
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step1000 in 73.046s
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2/special_tokens_map.json
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2/config.json
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2/tokenizer_config.json
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2/tokenizer.json
bogoconic1-nemo-280k-s6-88504-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v2/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-88504-v2-mkmlizer completed after 94.14s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-88504-v2-mkmlizer
Pipeline stage MKMLizer completed in 94.60s
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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-s6-88504-v2
Waiting for inference service bogoconic1-nemo-280k-s6-88504-v2 to be ready
Inference service bogoconic1-nemo-280k-s6-88504-v2 ready after 150.68139266967773s
Pipeline stage MKMLDeployer completed in 151.13s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0464963912963867s
Received healthy response to inference request in 0.676910400390625s
Received healthy response to inference request in 1.3910126686096191s
Received healthy response to inference request in 1.7067532539367676s
Received healthy response to inference request in 1.343116283416748s
5 requests
0 failed requests
5th percentile: 0.8101515769958496
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20th percentile: 1.2098751068115234
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50th percentile: 1.3910126686096191
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70th percentile: 1.6436051368713378
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90th percentile: 1.910599136352539
95th percentile: 1.9785477638244628
99th percentile: 2.032906665802002
mean time: 1.4328577995300293
Pipeline stage StressChecker completed in 8.52s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2784.77s
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bogoconic1-nemo-280k-s6_88504_v2 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-nemo-280k-s6_88504_v2 status is now torndown due to DeploymentManager action