bogoconic1-nemo-280k-s6_66848

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_66848_v1

model_name: bogoconic1-nemo-280k-s6_66848_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-01T23:59:52+00:00

num_battles: 5901

num_wins: 2830

celo_rating: 1264.45

family_friendly_score: 0.5873999999999999

family_friendly_standard_error: 0.006962201376001702

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step500

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6065154417060284, 'latency_mean': 1.6486978757381439, 'latency_p50': 1.6494097709655762, 'latency_p90': 1.8164897680282592}, {'batch_size': 3, 'throughput': 1.1005310530219419, 'latency_mean': 2.722191272974014, 'latency_p50': 2.710190534591675, 'latency_p90': 2.9976927280426025}, {'batch_size': 5, 'throughput': 1.336156999097266, 'latency_mean': 3.730263121128082, 'latency_p50': 3.7199901342391968, 'latency_p90': 4.181984925270081}, {'batch_size': 6, 'throughput': 1.3834932289355213, 'latency_mean': 4.313207577466965, 'latency_p50': 4.336254715919495, 'latency_p90': 4.783599781990051}, {'batch_size': 8, 'throughput': 1.4411386773445034, 'latency_mean': 5.506705738306046, 'latency_p50': 5.520128488540649, 'latency_p90': 6.120928764343262}, {'batch_size': 10, 'throughput': 1.499973721070538, 'latency_mean': 6.610814998149872, 'latency_p50': 6.588510513305664, 'latency_p90': 7.445958495140075}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_66848_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step500

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-05-01

win_ratio: 0.4795797322487714

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-s6-66848-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-66848-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: Downloaded to shared memory in 46.145s
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcrb0wquc, device:0
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: quantized model in 36.036s
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step500 in 82.181s
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1/config.json
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1/tokenizer.json
bogoconic1-nemo-280k-s6-66848-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-66848-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-66848-v1-mkmlizer completed after 104.55s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-66848-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.02s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-66848-v1
Waiting for inference service bogoconic1-nemo-280k-s6-66848-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-66848-v1 ready after 150.54324626922607s
Pipeline stage MKMLDeployer completed in 150.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2592105865478516s
Received healthy response to inference request in 1.5876133441925049s
Received healthy response to inference request in 1.6631038188934326s
Received healthy response to inference request in 1.7453761100769043s
Received healthy response to inference request in 1.508310317993164s
5 requests
0 failed requests
5th percentile: 1.5241709232330323
10th percentile: 1.5400315284729005
20th percentile: 1.5717527389526367
30th percentile: 1.6027114391326904
40th percentile: 1.6329076290130615
50th percentile: 1.6631038188934326
60th percentile: 1.6960127353668213
70th percentile: 1.72892165184021
80th percentile: 1.8481430053710939
90th percentile: 2.053676795959473
95th percentile: 2.156443691253662
99th percentile: 2.238657207489014
mean time: 1.7527228355407716
Pipeline stage StressChecker completed in 10.14s
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