bogoconic1-nemo-280k-s6_88504

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s6_88504_v3

model_name: bogoconic1-nemo-280k-s6_88504_v3

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-06-23T16:55:05+00:00

num_battles: 8461

num_wins: 3971

celo_rating: 1266.47

family_friendly_score: 0.5746

family_friendly_standard_error: 0.006991921624274688

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step1000

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6037915170413091, 'latency_mean': 1.656082193851471, 'latency_p50': 1.6539734601974487, 'latency_p90': 1.836944007873535}, {'batch_size': 3, 'throughput': 1.0789680135988993, 'latency_mean': 2.774310692548752, 'latency_p50': 2.7628289461135864, 'latency_p90': 3.0292181730270387}, {'batch_size': 5, 'throughput': 1.297816706816624, 'latency_mean': 3.8337356531620026, 'latency_p50': 3.8246657848358154, 'latency_p90': 4.3533412456512455}, {'batch_size': 6, 'throughput': 1.3498852500471203, 'latency_mean': 4.425064166784287, 'latency_p50': 4.431752920150757, 'latency_p90': 4.922317433357239}, {'batch_size': 8, 'throughput': 1.4209478226529462, 'latency_mean': 5.595996774435044, 'latency_p50': 5.619701147079468, 'latency_p90': 6.312630987167358}, {'batch_size': 10, 'throughput': 1.458696515281578, 'latency_mean': 6.8006722402572635, 'latency_p50': 6.828742027282715, 'latency_p90': 7.565539622306823}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s6_88504_v3

is_internal_developer: True

language_model: bogoconic1/nemo-280k-s600-chai-step1000

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-06-23

win_ratio: 0.4693298664460466

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': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name bogoconic1-nemo-280k-s6-88504-v3-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-88504-v3-mkmlizer to finish
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║                                                                     ║
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bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Version: 0.29.3                                                    ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Downloaded to shared memory in 71.347s
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Checking if bogoconic1/nemo-280k-s600-chai-step1000 already exists in ChaiML
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Creating repo ChaiML/nemo-280k-s600-chai-step1000 and uploading /tmp/tmp8zkfa5by to it
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: 
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bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8zkfa5by, device:0
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: quantized model in 30.328s
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step1000 in 155.859s
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v3
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v3/config.json
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v3/special_tokens_map.json
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v3/tokenizer_config.json
bogoconic1-nemo-280k-s6-88504-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-88504-v3/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-s6-88504-v3-mkmlizer completed after 176.16s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-88504-v3-mkmlizer
Pipeline stage MKMLizer completed in 176.73s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-88504-v3
Waiting for inference service bogoconic1-nemo-280k-s6-88504-v3 to be ready
Inference service bogoconic1-nemo-280k-s6-88504-v3 ready after 120.53233289718628s
Pipeline stage MKMLDeployer completed in 121.12s
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Running pipeline stage StressChecker
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