bogoconic1-nemo-280k-s6_73178

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_73178_v1

model_name: bogoconic1-nemo-280k-s6_73178_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T03:01:20+00:00

num_battles: 8142

num_wins: 3985

celo_rating: 1276.38

family_friendly_score: 0.5888

family_friendly_standard_error: 0.006958657341757819

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step1100

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6066676983368192, 'latency_mean': 1.6482776582241059, 'latency_p50': 1.6531105041503906, 'latency_p90': 1.807148551940918}, {'batch_size': 3, 'throughput': 1.105279222573957, 'latency_mean': 2.70834398150444, 'latency_p50': 2.7033615112304688, 'latency_p90': 3.009613537788391}, {'batch_size': 5, 'throughput': 1.3264423187313565, 'latency_mean': 3.7501107609272, 'latency_p50': 3.731574058532715, 'latency_p90': 4.192055249214172}, {'batch_size': 6, 'throughput': 1.4046964628257665, 'latency_mean': 4.248441543579101, 'latency_p50': 4.176006078720093, 'latency_p90': 4.901868915557861}, {'batch_size': 8, 'throughput': 1.4699524755947617, 'latency_mean': 5.404929178953171, 'latency_p50': 5.456860899925232, 'latency_p90': 6.044953942298889}, {'batch_size': 10, 'throughput': 1.4830513343888658, 'latency_mean': 6.683000260591507, 'latency_p50': 6.730903744697571, 'latency_p90': 7.510433959960937}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_73178_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-s600-chai-step1100

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-05-01

win_ratio: 0.48943748464750675

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-s6-73178-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-73178-v1-mkmlizer to finish
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: Downloaded to shared memory in 89.331s
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4ct4q63x, device:0
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: quantized model in 35.851s
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step1100 in 125.183s
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1/config.json
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1/special_tokens_map.json
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1/tokenizer_config.json
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1/tokenizer.json
bogoconic1-nemo-280k-s6-73178-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-73178-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-73178-v1-mkmlizer completed after 145.86s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-73178-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.34s
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Creating inference service bogoconic1-nemo-280k-s6-73178-v1
Waiting for inference service bogoconic1-nemo-280k-s6-73178-v1 to be ready
Inference service bogoconic1-nemo-280k-s6-73178-v1 ready after 150.47726440429688s
Pipeline stage MKMLDeployer completed in 150.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9724462032318115s
Received healthy response to inference request in 1.6694726943969727s
Received healthy response to inference request in 1.581373929977417s
Received healthy response to inference request in 1.7627098560333252s
Received healthy response to inference request in 2.06136155128479s
5 requests
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5th percentile: 1.598993682861328
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20th percentile: 1.6518529415130616
30th percentile: 1.6881201267242432
40th percentile: 1.7254149913787842
50th percentile: 1.7627098560333252
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90th percentile: 2.025795412063599
95th percentile: 2.0435784816741944
99th percentile: 2.057804937362671
mean time: 1.8094728469848633
Pipeline stage StressChecker completed in 10.57s
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