mistralai-mistral-nemo_9330

submission_id: mistralai-mistral-nemo_9330_v175

developer_uid: robert_irvine

best_of: 8

celo_rating: 1245.77

display_name: mistralai-mistral-nemo_9330_v175

family_friendly_score: 0.5689916666666667

family_friendly_standard_error: 0.004919220114243259

formatter: {'memory_template': '', 'prompt_template': '', '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': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: mistralai/Mistral-Nemo-I

model_name: mistralai-mistral-nemo_9330_v175

model_num_parameters: 12772070400.0

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

num_battles: 11566

num_wins: 5801

ranking_group: single

status: inactive

submission_type: basic

timestamp: 2024-10-20T04:25:56+00:00

us_pacific_date: 2024-10-19

win_ratio: 0.5015562856648799

Download Preference Data

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-nemo-9330-v175-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v175-mkmlizer to finish
mistralai-mistral-nemo-9330-v175-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v175-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v175-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v175-mkmlizer: Downloaded to shared memory in 50.688s
mistralai-mistral-nemo-9330-v175-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiv34yq4n, device:0
mistralai-mistral-nemo-9330-v175-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v175-mkmlizer: quantized model in 35.686s
mistralai-mistral-nemo-9330-v175-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 86.375s
mistralai-mistral-nemo-9330-v175-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v175-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v175-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175
mistralai-mistral-nemo-9330-v175-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175/config.json
mistralai-mistral-nemo-9330-v175-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175/special_tokens_map.json
mistralai-mistral-nemo-9330-v175-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175/tokenizer_config.json
mistralai-mistral-nemo-9330-v175-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175/tokenizer.json
mistralai-mistral-nemo-9330-v175-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v175/flywheel_model.0.safetensors
Job mistralai-mistral-nemo-9330-v175-mkmlizer completed after 114.42s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v175-mkmlizer
Pipeline stage MKMLizer completed in 114.97s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v175
Waiting for inference service mistralai-mistral-nemo-9330-v175 to be ready
Inference service mistralai-mistral-nemo-9330-v175 ready after 160.62448859214783s
Pipeline stage MKMLDeployer completed in 161.15s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.1012976169586182s
Received healthy response to inference request in 1.145745038986206s
Received healthy response to inference request in 1.4185938835144043s
Received healthy response to inference request in 1.5457568168640137s
Received healthy response to inference request in 0.817150354385376s
5 requests
0 failed requests
5th percentile: 0.8739798069000244
10th percentile: 0.9308092594146729
20th percentile: 1.0444681644439697
30th percentile: 1.1101871013641358
40th percentile: 1.1279660701751708
50th percentile: 1.145745038986206
60th percentile: 1.2548845767974854
70th percentile: 1.3640241146087646
80th percentile: 1.4440264701843262
90th percentile: 1.49489164352417
95th percentile: 1.5203242301940918
99th percentile: 1.5406702995300292
mean time: 1.2057087421417236
Pipeline stage StressChecker completed in 7.49s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v175 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo_9330_v175 status is now inactive due to auto deactivation removed underperforming models