developer_uid: zonemercy
submission_id: mistralai-mistral-nemo_9330_v229
model_name: tempv1-2
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-12-27T14:45:07+00:00
num_battles: 15459
num_wins: 7162
celo_rating: 1241.67
family_friendly_score: 0.595
family_friendly_standard_error: 0.00694226187924368
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6309567680276695, 'latency_mean': 1.584810893535614, 'latency_p50': 1.6029657125473022, 'latency_p90': 1.7356015920639039}, {'batch_size': 3, 'throughput': 1.2571417952565969, 'latency_mean': 2.371823070049286, 'latency_p50': 2.3847076892852783, 'latency_p90': 2.586950087547302}, {'batch_size': 5, 'throughput': 1.5928614536824164, 'latency_mean': 3.129040973186493, 'latency_p50': 3.1237138509750366, 'latency_p90': 3.507470941543579}, {'batch_size': 6, 'throughput': 1.7011126404918746, 'latency_mean': 3.512683423757553, 'latency_p50': 3.517745614051819, 'latency_p90': 3.9236902236938476}, {'batch_size': 8, 'throughput': 1.8489990895155048, 'latency_mean': 4.296239352226257, 'latency_p50': 4.291981935501099, 'latency_p90': 4.875324320793152}, {'batch_size': 10, 'throughput': 1.9463469778910707, 'latency_mean': 5.088348032236099, 'latency_p50': 5.120712399482727, 'latency_p90': 5.6854524374008175}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-2
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.75
us_pacific_date: 2024-12-27
win_ratio: 0.4632899928844039
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': 4, '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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v229-mkmlizer
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mistralai-mistral-nemo-9330-v229-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v229-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v229-mkmlizer: Downloaded to shared memory in 56.090s
mistralai-mistral-nemo-9330-v229-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaavuq1xx, device:0
mistralai-mistral-nemo-9330-v229-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v229-mkmlizer: quantized model in 37.788s
mistralai-mistral-nemo-9330-v229-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 93.878s
mistralai-mistral-nemo-9330-v229-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v229-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v229-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229
mistralai-mistral-nemo-9330-v229-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229/config.json
mistralai-mistral-nemo-9330-v229-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229/special_tokens_map.json
mistralai-mistral-nemo-9330-v229-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229/tokenizer_config.json
mistralai-mistral-nemo-9330-v229-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229/tokenizer.json
mistralai-mistral-nemo-9330-v229-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v229/flywheel_model.0.safetensors
Job mistralai-mistral-nemo-9330-v229-mkmlizer completed after 124.28s with status: succeeded
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Inference service mistralai-mistral-nemo-9330-v229 ready after 291.3059480190277s
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5th percentile: 0.8220055580139161
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mean time: 1.429844045639038
Pipeline stage StressChecker completed in 8.53s
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mistralai-mistral-nemo_9330_v229 status is now inactive due to auto deactivation removed underperforming models
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mistralai-mistral-nemo_9330_v229 status is now torndown due to DeploymentManager action