bogoconic1-nemo-280k-s6_29044

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_29044_v1

model_name: bogoconic1-nemo-280k-s6_29044_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T03:25:44+00:00

num_battles: 11373

num_wins: 5371

celo_rating: 1267.01

family_friendly_score: 0.5738

family_friendly_standard_error: 0.006993619377689924

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step1300

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6111139394896923, 'latency_mean': 1.6362959671020507, 'latency_p50': 1.6279723644256592, 'latency_p90': 1.820094060897827}, {'batch_size': 3, 'throughput': 1.1023971886945656, 'latency_mean': 2.710469037294388, 'latency_p50': 2.696182131767273, 'latency_p90': 2.991537356376648}, {'batch_size': 5, 'throughput': 1.3367897542103089, 'latency_mean': 3.7187306559085846, 'latency_p50': 3.737271547317505, 'latency_p90': 4.150950789451599}, {'batch_size': 6, 'throughput': 1.3944715587277539, 'latency_mean': 4.281665334701538, 'latency_p50': 4.257331609725952, 'latency_p90': 4.872288990020752}, {'batch_size': 8, 'throughput': 1.4547418427569818, 'latency_mean': 5.466917214393615, 'latency_p50': 5.395914196968079, 'latency_p90': 6.2607093334198}, {'batch_size': 10, 'throughput': 1.5014558833417682, 'latency_mean': 6.616268455982208, 'latency_p50': 6.641398072242737, 'latency_p90': 7.431223320960998}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_29044_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step1300

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-05-01

win_ratio: 0.47225885870043083

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-s6-29044-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-29044-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: Downloaded to shared memory in 44.394s
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn_60ea0l, device:0
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: quantized model in 36.355s
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step1300 in 80.750s
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1/config.json
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1/tokenizer.json
bogoconic1-nemo-280k-s6-29044-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-29044-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-29044-v1-mkmlizer completed after 104.37s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-29044-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.84s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.37s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-29044-v1
Waiting for inference service bogoconic1-nemo-280k-s6-29044-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-29044-v1 ready after 140.45041704177856s
Pipeline stage MKMLDeployer completed in 140.87s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4741058349609375s
Received healthy response to inference request in 1.6923229694366455s
Received healthy response to inference request in 1.6836357116699219s
Received healthy response to inference request in 1.777862310409546s
Received healthy response to inference request in 1.618281602859497s
5 requests
0 failed requests
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95th percentile: 2.334857130050659
99th percentile: 2.446256093978882
mean time: 1.8492416858673095
Pipeline stage StressChecker completed in 10.91s
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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 4874.67s
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