mistralai-mistral-nem_93303

developer_uid: Lizhecheng
submission_id: mistralai-mistral-nem_93303_v273
model_name: mistralai-mistral-nem_93303_v273
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-18T20:29:49+00:00
num_battles: 16671
num_wins: 7824
celo_rating: 1246.57
family_friendly_score: 0.5944
family_friendly_standard_error: 0.006943898616771417
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: mistralai-mistral-nem_93303_v273
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2025-01-18
win_ratio: 0.46931797732589525
generation_params: {'temperature': 0.7, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 40, '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 mistralai-mistral-nem-93303-v273-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v273-mkmlizer to finish
mistralai-mistral-nem-93303-v273-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v273-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v273-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v273-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v273-mkmlizer: Downloaded to shared memory in 55.288s
mistralai-mistral-nem-93303-v273-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8zapsrca, device:0
mistralai-mistral-nem-93303-v273-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v273-mkmlizer: quantized model in 35.613s
mistralai-mistral-nem-93303-v273-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.901s
mistralai-mistral-nem-93303-v273-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v273-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v273-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273
mistralai-mistral-nem-93303-v273-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273/config.json
mistralai-mistral-nem-93303-v273-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273/special_tokens_map.json
mistralai-mistral-nem-93303-v273-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273/tokenizer_config.json
mistralai-mistral-nem-93303-v273-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273/tokenizer.json
mistralai-mistral-nem-93303-v273-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v273/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v273-mkmlizer: 
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Job mistralai-mistral-nem-93303-v273-mkmlizer completed after 114.85s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v273-mkmlizer
Pipeline stage MKMLizer completed in 115.33s
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Creating inference service mistralai-mistral-nem-93303-v273
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Inference service mistralai-mistral-nem-93303-v273 ready after 110.40064978599548s
Pipeline stage MKMLDeployer completed in 110.93s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.146390199661255s
Received healthy response to inference request in 1.8566818237304688s
Received healthy response to inference request in 1.9459853172302246s
Received healthy response to inference request in 1.6751511096954346s
Received healthy response to inference request in 1.7819504737854004s
5 requests
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5th percentile: 1.6965109825134277
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mean time: 1.8812317848205566
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