bogoconic1-nemo-280k-s6_95029

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_95029_v2

model_name: bogoconic1-nemo-280k-s6_95029_v2

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T08:28:00+00:00

num_battles: 8447

num_wins: 3767

celo_rating: 1248.48

family_friendly_score: 0.6115999999999999

family_friendly_standard_error: 0.006892683657328254

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-s1300-332k-sft-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': 0.6033633742328643, 'latency_mean': 1.6573202836513519, 'latency_p50': 1.6566786766052246, 'latency_p90': 1.8211796045303346}, {'batch_size': 3, 'throughput': 1.0924324319087042, 'latency_mean': 2.7364625668525697, 'latency_p50': 2.730548858642578, 'latency_p90': 3.027299642562866}, {'batch_size': 5, 'throughput': 1.3217999967338716, 'latency_mean': 3.7654304623603823, 'latency_p50': 3.7634254693984985, 'latency_p90': 4.2471702098846436}, {'batch_size': 6, 'throughput': 1.375385061049521, 'latency_mean': 4.336026759147644, 'latency_p50': 4.310049772262573, 'latency_p90': 4.819550418853759}, {'batch_size': 8, 'throughput': 1.4429448064832007, 'latency_mean': 5.500945850610733, 'latency_p50': 5.527214884757996, 'latency_p90': 6.213497686386108}, {'batch_size': 10, 'throughput': 1.4806462905636988, 'latency_mean': 6.711025543212891, 'latency_p50': 6.704106688499451, 'latency_p90': 7.619643020629883}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_95029_v2

is_internal_developer: True

language_model: bogoconic1/nemo-280k-s600-s1300-332k-sft-step500

model_size: 13B

ranking_group: single

throughput_3p7s: 1.32

us_pacific_date: 2025-05-02

win_ratio: 0.4459571445483604

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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-s6-95029-v2-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-95029-v2-mkmlizer to finish
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: Downloaded to shared memory in 36.273s
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdtl4bd9x, device:0
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: quantized model in 36.298s
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: Processed model bogoconic1/nemo-280k-s600-s1300-332k-sft-step500 in 72.572s
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2/config.json
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2/special_tokens_map.json
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2/tokenizer_config.json
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2/tokenizer.json
bogoconic1-nemo-280k-s6-95029-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-95029-v2/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-95029-v2-mkmlizer completed after 93.89s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-95029-v2-mkmlizer
Pipeline stage MKMLizer completed in 94.31s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-95029-v2
Waiting for inference service bogoconic1-nemo-280k-s6-95029-v2 to be ready
Inference service bogoconic1-nemo-280k-s6-95029-v2 ready after 150.48396158218384s
Pipeline stage MKMLDeployer completed in 150.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2389957904815674s
Received healthy response to inference request in 1.4985740184783936s
Received healthy response to inference request in 1.3929722309112549s
Received healthy response to inference request in 1.2925755977630615s
Received healthy response to inference request in 1.0448753833770752s
5 requests
0 failed requests
5th percentile: 1.0944154262542725
10th percentile: 1.1439554691314697
20th percentile: 1.2430355548858643
30th percentile: 1.3126549243927002
40th percentile: 1.3528135776519776
50th percentile: 1.3929722309112549
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70th percentile: 1.4774536609649658
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90th percentile: 1.942827081680298
95th percentile: 2.0909114360809324
99th percentile: 2.2093789196014404
mean time: 1.4935986042022704
Pipeline stage StressChecker completed in 8.81s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
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