mistralai-mistral-nem_93303

developer_uid: Lizhecheng
submission_id: mistralai-mistral-nem_93303_v270
model_name: mistralai-mistral-nem_93303_v270
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-18T18:39:22+00:00
num_battles: 14103
num_wins: 6624
celo_rating: 1248.53
family_friendly_score: 0.6
family_friendly_standard_error: 0.0069282032302755096
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_v270
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: 0.4696873005743459
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-v270-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v270-mkmlizer to finish
mistralai-mistral-nem-93303-v270-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v270-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v270-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v270-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v270-mkmlizer: Downloaded to shared memory in 63.496s
mistralai-mistral-nem-93303-v270-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphsqfzr0q, device:0
mistralai-mistral-nem-93303-v270-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v270-mkmlizer: quantized model in 36.441s
mistralai-mistral-nem-93303-v270-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 99.937s
mistralai-mistral-nem-93303-v270-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v270-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v270-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270
mistralai-mistral-nem-93303-v270-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270/config.json
mistralai-mistral-nem-93303-v270-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270/special_tokens_map.json
mistralai-mistral-nem-93303-v270-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270/tokenizer_config.json
mistralai-mistral-nem-93303-v270-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270/tokenizer.json
mistralai-mistral-nem-93303-v270-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v270/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v270-mkmlizer: 
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Job mistralai-mistral-nem-93303-v270-mkmlizer completed after 124.74s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v270-mkmlizer
Pipeline stage MKMLizer completed in 125.24s
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Creating inference service mistralai-mistral-nem-93303-v270
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Inference service mistralai-mistral-nem-93303-v270 ready after 110.39244246482849s
Pipeline stage MKMLDeployer completed in 110.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.041278600692749s
Received healthy response to inference request in 1.6410574913024902s
Received healthy response to inference request in 1.7211229801177979s
Received healthy response to inference request in 1.8614909648895264s
Received healthy response to inference request in 1.6979801654815674s
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mean time: 1.7925860404968261
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