bogoconic1-nemo-280k-s6_76555

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_76555_v1

model_name: bogoconic1-nemo-280k-s6_76555_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-01T23:57:01+00:00

num_battles: 6349

num_wins: 3006

celo_rating: 1261.43

family_friendly_score: 0.5864

family_friendly_standard_error: 0.006964697265495466

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step400

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6102949600178246, 'latency_mean': 1.6384877693653106, 'latency_p50': 1.6498914957046509, 'latency_p90': 1.8074194192886353}, {'batch_size': 3, 'throughput': 1.1076605113111115, 'latency_mean': 2.6990087151527407, 'latency_p50': 2.712074637413025, 'latency_p90': 2.9969093322753904}, {'batch_size': 5, 'throughput': 1.3444666895064123, 'latency_mean': 3.6988332641124724, 'latency_p50': 3.7038381099700928, 'latency_p90': 4.144927883148194}, {'batch_size': 6, 'throughput': 1.4059802003294444, 'latency_mean': 4.246189383268356, 'latency_p50': 4.239617466926575, 'latency_p90': 4.77956805229187}, {'batch_size': 8, 'throughput': 1.4778517586365423, 'latency_mean': 5.369396672248841, 'latency_p50': 5.391628384590149, 'latency_p90': 6.095133280754089}, {'batch_size': 10, 'throughput': 1.4934726577999478, 'latency_mean': 6.633783509731293, 'latency_p50': 6.645232677459717, 'latency_p90': 7.531382274627686}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_76555_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step400

model_size: 13B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-05-01

win_ratio: 0.47346038746259256

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-s6-76555-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-76555-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: Downloaded to shared memory in 42.700s
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe35r5zae, device:0
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: quantized model in 35.781s
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step400 in 78.481s
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1/config.json
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1/tokenizer.json
bogoconic1-nemo-280k-s6-76555-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-76555-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-76555-v1-mkmlizer completed after 104.24s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-76555-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.70s
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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-s6-76555-v1
Waiting for inference service bogoconic1-nemo-280k-s6-76555-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-76555-v1 ready after 140.51930570602417s
Pipeline stage MKMLDeployer completed in 141.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.405224084854126s
Received healthy response to inference request in 1.4984869956970215s
Received healthy response to inference request in 1.9005632400512695s
Received healthy response to inference request in 1.6454966068267822s
Received healthy response to inference request in 1.7164506912231445s
5 requests
0 failed requests
5th percentile: 1.5278889179229735
10th percentile: 1.5572908401489258
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80th percentile: 2.001495409011841
90th percentile: 2.2033597469329833
95th percentile: 2.3042919158935544
99th percentile: 2.3850376510620115
mean time: 1.8332443237304688
Pipeline stage StressChecker completed in 10.55s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2707.58s
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