bogoconic1-nemo-280k-av_67290

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-av_67290_v1

model_name: bogoconic1-nemo-280k-av_67290_v1

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T16:33:34+00:00

num_battles: 8981

num_wins: 4384

celo_rating: 1278.83

family_friendly_score: 0.5798

family_friendly_standard_error: 0.006980429213164474

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-s800-s1000

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6094033365997348, 'latency_mean': 1.6408746373653411, 'latency_p50': 1.6356209516525269, 'latency_p90': 1.828741478919983}, {'batch_size': 3, 'throughput': 1.1042096181752323, 'latency_mean': 2.708318350315094, 'latency_p50': 2.707079291343689, 'latency_p90': 2.96595458984375}, {'batch_size': 5, 'throughput': 1.3358699667459213, 'latency_mean': 3.7279795205593107, 'latency_p50': 3.737142324447632, 'latency_p90': 4.17197813987732}, {'batch_size': 6, 'throughput': 1.4124265042761068, 'latency_mean': 4.231492344141007, 'latency_p50': 4.226519703865051, 'latency_p90': 4.6729306936264035}, {'batch_size': 8, 'throughput': 1.467086737239862, 'latency_mean': 5.409986091852188, 'latency_p50': 5.390432834625244, 'latency_p90': 6.035616898536682}, {'batch_size': 10, 'throughput': 1.5195987079238729, 'latency_mean': 6.528911185264588, 'latency_p50': 6.451979637145996, 'latency_p90': 7.462791681289673}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-av_67290_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-s800-s1000

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-05-02

win_ratio: 0.4881416323349293

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-67290-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-67290-v1-mkmlizer to finish
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: Downloaded to shared memory in 64.695s
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo7w5b4u8, device:0
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: quantized model in 37.004s
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-s800-s1000 in 101.701s
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1/config.json
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1/special_tokens_map.json
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1/tokenizer_config.json
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1/tokenizer.json
bogoconic1-nemo-280k-av-67290-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-67290-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-67290-v1-mkmlizer completed after 125.68s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-67290-v1-mkmlizer
Pipeline stage MKMLizer completed in 126.19s
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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-av-67290-v1
Waiting for inference service bogoconic1-nemo-280k-av-67290-v1 to be ready
Inference service bogoconic1-nemo-280k-av-67290-v1 ready after 150.50101923942566s
Pipeline stage MKMLDeployer completed in 151.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.323528289794922s
Received healthy response to inference request in 1.5983426570892334s
Received healthy response to inference request in 1.3548130989074707s
Received healthy response to inference request in 1.8178939819335938s
Received healthy response to inference request in 1.7045388221740723s
5 requests
0 failed requests
5th percentile: 1.4035190105438233
10th percentile: 1.4522249221801757
20th percentile: 1.5496367454528808
30th percentile: 1.6195818901062011
40th percentile: 1.6620603561401368
50th percentile: 1.7045388221740723
60th percentile: 1.749880886077881
70th percentile: 1.7952229499816894
80th percentile: 1.9190208435058596
90th percentile: 2.1212745666503907
95th percentile: 2.222401428222656
99th percentile: 2.303302917480469
mean time: 1.7598233699798584
Pipeline stage StressChecker completed in 10.16s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.64s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service bogoconic1-nemo-280k-av-67290-v1-profiler
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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 5273.93s
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