developer_uid: azuruce
submission_id: mistralai-mistral-nem_93303_v264
model_name: mistralai-mistral-nem_93303_v264
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-15T02:32:02+00:00
num_battles: 11110
num_wins: 4845
celo_rating: 1217.59
family_friendly_score: 0.5933999999999999
family_friendly_standard_error: 0.006946602622865367
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 2
max_input_tokens: 1024
max_output_tokens: 64
display_name: mistralai-mistral-nem_93303_v264
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2025-01-14
win_ratio: 0.4360936093609361
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.001, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>', 'Me:'], 'max_input_tokens': 1024, 'best_of': 2, 'max_output_tokens': 64}
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}
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-v264-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v264-mkmlizer to finish
mistralai-mistral-nem-93303-v264-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v264-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v264-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v264-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v264-mkmlizer: Downloaded to shared memory in 63.094s
mistralai-mistral-nem-93303-v264-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpls2i5jv9, device:0
mistralai-mistral-nem-93303-v264-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v264-mkmlizer: quantized model in 36.841s
mistralai-mistral-nem-93303-v264-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 99.935s
mistralai-mistral-nem-93303-v264-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v264-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v264-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264
mistralai-mistral-nem-93303-v264-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264/config.json
mistralai-mistral-nem-93303-v264-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264/special_tokens_map.json
mistralai-mistral-nem-93303-v264-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264/tokenizer_config.json
mistralai-mistral-nem-93303-v264-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264/tokenizer.json
mistralai-mistral-nem-93303-v264-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v264/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v264-mkmlizer: 
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Job mistralai-mistral-nem-93303-v264-mkmlizer completed after 124.55s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v264-mkmlizer
Pipeline stage MKMLizer completed in 125.01s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v264
Waiting for inference service mistralai-mistral-nem-93303-v264 to be ready
Inference service mistralai-mistral-nem-93303-v264 ready after 130.50783729553223s
Pipeline stage MKMLDeployer completed in 131.03s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.474635362625122s
Received healthy response to inference request in 0.44159770011901855s
Received healthy response to inference request in 0.6282908916473389s
Received healthy response to inference request in 0.5234529972076416s
Received healthy response to inference request in 0.4641697406768799s
5 requests
0 failed requests
5th percentile: 0.44611210823059083
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20th percentile: 0.4596553325653076
30th percentile: 0.4760263919830322
40th percentile: 0.4997396945953369
50th percentile: 0.5234529972076416
60th percentile: 0.5653881549835205
70th percentile: 0.6073233127593994
80th percentile: 0.7975597858428957
90th percentile: 1.136097574234009
95th percentile: 1.3053664684295652
99th percentile: 1.4407815837860107
mean time: 0.7064293384552002
Pipeline stage StressChecker completed in 4.68s
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4058.37s
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mistralai-mistral-nem_93303_v264 status is now torndown due to DeploymentManager action
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