bogoconic1-nemo-280k-s60_8773

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s60_8773_v1

model_name: bogoconic1-nemo-280k-s60_8773_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T00:18:05+00:00

num_battles: 6012

num_wins: 2879

celo_rating: 1267.21

family_friendly_score: 0.5798

family_friendly_standard_error: 0.006980429213164474

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step800

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6075514511722958, 'latency_mean': 1.645877846479416, 'latency_p50': 1.6318861246109009, 'latency_p90': 1.816870093345642}, {'batch_size': 3, 'throughput': 1.1198681712193204, 'latency_mean': 2.669805408716202, 'latency_p50': 2.685840606689453, 'latency_p90': 2.9281863927841187}, {'batch_size': 5, 'throughput': 1.35050199904565, 'latency_mean': 3.6892997610569, 'latency_p50': 3.699521064758301, 'latency_p90': 4.102316546440124}, {'batch_size': 6, 'throughput': 1.4203415190197899, 'latency_mean': 4.213121758699417, 'latency_p50': 4.196975111961365, 'latency_p90': 4.645836019515992}, {'batch_size': 8, 'throughput': 1.4722772706112948, 'latency_mean': 5.386270802021027, 'latency_p50': 5.403271794319153, 'latency_p90': 5.927097487449646}, {'batch_size': 10, 'throughput': 1.525647187627792, 'latency_mean': 6.50065523147583, 'latency_p50': 6.552580714225769, 'latency_p90': 7.247980260848999}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s60_8773_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step800

model_size: 13B

ranking_group: single

throughput_3p7s: 1.36

us_pacific_date: 2025-05-01

win_ratio: 0.47887558216899534

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-s60-8773-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s60-8773-v1-mkmlizer to finish
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: Downloaded to shared memory in 46.217s
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqxicbm8p, device:0
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: quantized model in 36.089s
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step800 in 82.307s
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1/config.json
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1/special_tokens_map.json
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1/tokenizer_config.json
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1/tokenizer.json
bogoconic1-nemo-280k-s60-8773-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-8773-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s60-8773-v1-mkmlizer completed after 104.54s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s60-8773-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.00s
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Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s60-8773-v1
Waiting for inference service bogoconic1-nemo-280k-s60-8773-v1 to be ready
Inference service bogoconic1-nemo-280k-s60-8773-v1 ready after 150.71663236618042s
Pipeline stage MKMLDeployer completed in 151.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.546354293823242s
Received healthy response to inference request in 1.7532508373260498s
Received healthy response to inference request in 1.632308006286621s
Received healthy response to inference request in 1.7973780632019043s
Received healthy response to inference request in 1.5247156620025635s
5 requests
0 failed requests
5th percentile: 1.546234130859375
10th percentile: 1.5677525997161865
20th percentile: 1.6107895374298096
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90th percentile: 2.246763801574707
95th percentile: 2.3965590476989744
99th percentile: 2.516395244598389
mean time: 1.850801372528076
Pipeline stage StressChecker completed in 10.42s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2819.73s
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bogoconic1-nemo-280k-s60_8773_v1 status is now torndown due to DeploymentManager action