developer_uid: bogoconic1
submission_id: bogoconic1-nemo-280k-av_24589_v7
model_name: bogoconic1-nemo-280k-av_24589_v7
model_group: bogoconic1/nemo-280k-avg
status: torndown
timestamp: 2025-06-23T17:31:32+00:00
num_battles: 9252
num_wins: 4288
celo_rating: 1261.09
family_friendly_score: 0.5711999999999999
family_friendly_standard_error: 0.006999007929699752
submission_type: basic
model_repo: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5984851458313051, 'latency_mean': 1.6707027554512024, 'latency_p50': 1.6651642322540283, 'latency_p90': 1.8501862049102784}, {'batch_size': 3, 'throughput': 1.0700675128071886, 'latency_mean': 2.796326575279236, 'latency_p50': 2.7924798727035522, 'latency_p90': 3.064543342590332}, {'batch_size': 5, 'throughput': 1.3012906244757227, 'latency_mean': 3.8197444927692414, 'latency_p50': 3.8110729455947876, 'latency_p90': 4.225296211242676}, {'batch_size': 6, 'throughput': 1.3532422765802536, 'latency_mean': 4.412245496511459, 'latency_p50': 4.419296026229858, 'latency_p90': 4.958754348754883}, {'batch_size': 8, 'throughput': 1.428228370682609, 'latency_mean': 5.565494849681854, 'latency_p50': 5.523073315620422, 'latency_p90': 6.26905882358551}, {'batch_size': 10, 'throughput': 1.4607976789865003, 'latency_mean': 6.781561011075974, 'latency_p50': 6.8512619733810425, 'latency_p90': 7.633968472480774}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-nemo-280k-av_24589_v7
is_internal_developer: True
language_model: bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-06-23
win_ratio: 0.46346735840899267
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
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Running pipeline stage MKMLizer
Starting job with name bogoconic1-nemo-280k-av-24589-v7-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-24589-v7-mkmlizer to finish
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║                                                                     ║
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bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Version: 0.29.3                                                    ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Downloaded to shared memory in 59.730s
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Checking if bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200 already exists in ChaiML
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Creating repo ChaiML/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200 and uploading /tmp/tmpz9uuvohc to it
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: 
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bogoconic1-nemo-280k-av-24589-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz9uuvohc, device:0
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: quantized model in 30.407s
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-mrg-ties-s700-800-1000-1200 in 145.437s
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7/config.json
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7/special_tokens_map.json
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7/tokenizer_config.json
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7/tokenizer.json
bogoconic1-nemo-280k-av-24589-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-24589-v7/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-24589-v7-mkmlizer completed after 165.94s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-24589-v7-mkmlizer
Pipeline stage MKMLizer completed in 166.51s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-av-24589-v7
Waiting for inference service bogoconic1-nemo-280k-av-24589-v7 to be ready
Inference service bogoconic1-nemo-280k-av-24589-v7 ready after 120.4214437007904s
Pipeline stage MKMLDeployer completed in 121.16s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.367356777191162s
Received healthy response to inference request in 1.7537362575531006s
Received healthy response to inference request in 1.2043352127075195s
Received healthy response to inference request in 1.760439157485962s
Received healthy response to inference request in 1.6031975746154785s
5 requests
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