mistralai-mistral-nemo-_9330

submission_id: mistralai-mistral-nemo-_9330_v73

developer_uid: end_to_end_test

best_of: 4

celo_rating: 1212.34

display_name: mistralai-mistral-nemo-_9330_v73

family_friendly_score: 0.0

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}

generation_params: {'temperature': 1.0, 'top_p': 0.99, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}

ineligible_reason: model is only for e2e test

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: mistralai/Mistral-Nemo-I

model_name: mistralai-mistral-nemo-_9330_v73

model_num_parameters: 12772070400.0

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

num_battles: 9750

num_wins: 4360

ranking_group: single

status: torndown

submission_type: basic

timestamp: 2024-09-17T00:57:48+00:00

us_pacific_date: 2024-09-16

win_ratio: 0.4471794871794872

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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-nemo-9330-v73-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v73-mkmlizer to finish
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mistralai-mistral-nemo-9330-v73-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v73-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v73-mkmlizer: Downloaded to shared memory in 67.502s
mistralai-mistral-nemo-9330-v73-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppepd29_3, device:0
mistralai-mistral-nemo-9330-v73-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v73-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v73-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v73-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v73
mistralai-mistral-nemo-9330-v73-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v73/special_tokens_map.json
mistralai-mistral-nemo-9330-v73-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v73/config.json
mistralai-mistral-nemo-9330-v73-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v73/tokenizer_config.json
mistralai-mistral-nemo-9330-v73-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v73/tokenizer.json
Job mistralai-mistral-nemo-9330-v73-mkmlizer completed after 139.16s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v73-mkmlizer
Pipeline stage MKMLizer completed in 140.09s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.25s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v73
Waiting for inference service mistralai-mistral-nemo-9330-v73 to be ready
Inference service mistralai-mistral-nemo-9330-v73 ready after 171.52943110466003s
Pipeline stage MKMLDeployer completed in 172.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.339815139770508s
Received healthy response to inference request in 1.3533611297607422s
Received healthy response to inference request in 1.4877820014953613s
Received healthy response to inference request in 1.980422019958496s
Received healthy response to inference request in 2.173029899597168s
5 requests
0 failed requests
5th percentile: 1.380245304107666
10th percentile: 1.4071294784545898
20th percentile: 1.4608978271484374
30th percentile: 1.5863100051879884
40th percentile: 1.7833660125732422
50th percentile: 1.980422019958496
60th percentile: 2.057465171813965
70th percentile: 2.1345083236694338
80th percentile: 2.206386947631836
90th percentile: 2.273101043701172
95th percentile: 2.30645809173584
99th percentile: 2.3331437301635742
mean time: 1.866882038116455
Pipeline stage StressChecker completed in 11.32s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 214.28s
Shutdown handler de-registered
mistralai-mistral-nemo-_9330_v73 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v73 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v73 status is now torndown due to DeploymentManager action