mistralai-mistral-nemo-_9330

developer_uid: chai_backend_admin

submission_id: mistralai-mistral-nemo-_9330_v70

model_name: mistralai-mistral-nemo-_9330_v70

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2024-08-29T03:41:40+00:00

num_battles: 10754

num_wins: 4908

celo_rating: 1203.92

family_friendly_score: 0.0

submission_type: basic

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 512

max_output_tokens: 64

display_name: mistralai-mistral-nemo-_9330_v70

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

us_pacific_date: 2024-08-28

win_ratio: 0.45638832062488377

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 4, '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

Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v70-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v70-mkmlizer to finish
mistralai-mistral-nemo-9330-v70-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v70-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v70-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v70-mkmlizer: Downloaded to shared memory in 49.704s
mistralai-mistral-nemo-9330-v70-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8i_poijf, device:0
mistralai-mistral-nemo-9330-v70-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v70-mkmlizer: quantized model in 35.662s
mistralai-mistral-nemo-9330-v70-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.366s
mistralai-mistral-nemo-9330-v70-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v70-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v70-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70
mistralai-mistral-nemo-9330-v70-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70/config.json
mistralai-mistral-nemo-9330-v70-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70/special_tokens_map.json
mistralai-mistral-nemo-9330-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70/tokenizer_config.json
mistralai-mistral-nemo-9330-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70/tokenizer.json
mistralai-mistral-nemo-9330-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v70/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v70-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v70-mkmlizer completed after 117.65s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v70-mkmlizer
Pipeline stage MKMLizer completed in 119.57s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.16s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v70
Waiting for inference service mistralai-mistral-nemo-9330-v70 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service mistralai-mistral-nemo-9330-v70 ready after 170.95604276657104s
Pipeline stage ISVCDeployer completed in 172.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.569897174835205s
Received healthy response to inference request in 1.7431449890136719s
Received healthy response to inference request in 1.7236120700836182s
Received healthy response to inference request in 1.4387664794921875s
Received healthy response to inference request in 1.04823637008667s
5 requests
0 failed requests
5th percentile: 1.1263423919677735
10th percentile: 1.204448413848877
20th percentile: 1.360660457611084
30th percentile: 1.464992618560791
40th percentile: 1.517444896697998
50th percentile: 1.569897174835205
60th percentile: 1.6313831329345703
70th percentile: 1.6928690910339355
80th percentile: 1.727518653869629
90th percentile: 1.7353318214416504
95th percentile: 1.739238405227661
99th percentile: 1.7423636722564697
mean time: 1.5047314167022705
Pipeline stage StressChecker completed in 8.24s
mistralai-mistral-nemo-_9330_v70 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v70 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v70 status is now torndown due to DeploymentManager action
mistralai-mistral-nemo-_9330_v70 status is now torndown due to DeploymentManager action