submission_id: mistralai-mistral-nemo_9330_v168
developer_uid: end_to_end_test
best_of: 8
celo_rating: 1243.03
display_name: mistralai-mistral-nemo_9330_v168
family_friendly_score: 0.5852254891702418
family_friendly_standard_error: 0.005014335584453027
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': 1.0, '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}
ineligible_reason: model is only for e2e test
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_v168
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 10140
num_wins: 4898
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-18T13:15:01+00:00
us_pacific_date: 2024-10-18
win_ratio: 0.48303747534516767
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v168-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v168-mkmlizer to finish
mistralai-mistral-nemo-9330-v168-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v168-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v168-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v168-mkmlizer: Downloaded to shared memory in 61.095s
mistralai-mistral-nemo-9330-v168-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpmnagmb4k, device:0
mistralai-mistral-nemo-9330-v168-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v168-mkmlizer: quantized model in 35.697s
mistralai-mistral-nemo-9330-v168-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 96.792s
mistralai-mistral-nemo-9330-v168-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v168-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v168-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168
mistralai-mistral-nemo-9330-v168-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168/config.json
mistralai-mistral-nemo-9330-v168-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168/special_tokens_map.json
mistralai-mistral-nemo-9330-v168-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168/tokenizer_config.json
mistralai-mistral-nemo-9330-v168-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168/tokenizer.json
mistralai-mistral-nemo-9330-v168-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v168/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v168-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v168-mkmlizer completed after 124.12s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v168-mkmlizer
Pipeline stage MKMLizer completed in 124.91s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v168
Waiting for inference service mistralai-mistral-nemo-9330-v168 to be ready
Inference service mistralai-mistral-nemo-9330-v168 ready after 170.60060358047485s
Pipeline stage MKMLDeployer completed in 171.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.187587022781372s
Received healthy response to inference request in 1.635904312133789s
Received healthy response to inference request in 1.6007840633392334s
Received healthy response to inference request in 2.316801071166992s
Received healthy response to inference request in 1.6429104804992676s
5 requests
0 failed requests
Failed to get response for submission zonemercy-virgo-edit-v1-1e5_v13: ('http://zonemercy-virgo-edit-v1-1e5-v13-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:44264->127.0.0.1:8080: read: connection reset by peer\n')
5th percentile: 1.6078081130981445
10th percentile: 1.6148321628570557
20th percentile: 1.628880262374878
30th percentile: 1.6373055458068848
40th percentile: 1.640108013153076
50th percentile: 1.6429104804992676
60th percentile: 1.8607810974121093
70th percentile: 2.078651714324951
80th percentile: 2.213429832458496
90th percentile: 2.2651154518127443
95th percentile: 2.2909582614898683
99th percentile: 2.3116325092315675
mean time: 1.8767973899841308
Pipeline stage StressChecker completed in 11.11s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v168 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo_9330_v168 status is now inactive due to auto deactivation removed underperforming models