developer_uid: rirv938
submission_id: mistralai-mistral-nemo_9330_v217
model_name: mistralai-mistral-nemo_9330_v217
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-12-21T02:58:59+00:00
num_battles: 11326
num_wins: 5162
celo_rating: 1231.85
family_friendly_score: 0.5893999999999999
family_friendly_standard_error: 0.006957120668782452
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
latencies: [{'batch_size': 1, 'throughput': 0.6318781648644639, 'latency_mean': 1.5824876713752747, 'latency_p50': 1.5803176164627075, 'latency_p90': 1.7442026138305664}, {'batch_size': 3, 'throughput': 1.2461856139959475, 'latency_mean': 2.3989793884754183, 'latency_p50': 2.412813901901245, 'latency_p90': 2.6580110788345337}, {'batch_size': 5, 'throughput': 1.6001215180175046, 'latency_mean': 3.116481821537018, 'latency_p50': 3.1029446125030518, 'latency_p90': 3.502206158638}, {'batch_size': 6, 'throughput': 1.6881773296676512, 'latency_mean': 3.5308606958389284, 'latency_p50': 3.560364246368408, 'latency_p90': 3.957087540626526}, {'batch_size': 8, 'throughput': 1.844451298997003, 'latency_mean': 4.30232421875, 'latency_p50': 4.3230061531066895, 'latency_p90': 4.902401494979858}, {'batch_size': 10, 'throughput': 1.9389645353078273, 'latency_mean': 5.108412232398987, 'latency_p50': 5.100408554077148, 'latency_p90': 5.793873834609985}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nemo_9330_v217
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.74
us_pacific_date: 2024-12-20
win_ratio: 0.4557654953205015
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v217-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v217-mkmlizer to finish
mistralai-mistral-nemo-9330-v217-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v217-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v217-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v217-mkmlizer: Downloaded to shared memory in 54.611s
mistralai-mistral-nemo-9330-v217-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy4n1ohr_, device:0
mistralai-mistral-nemo-9330-v217-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v217-mkmlizer: quantized model in 35.660s
mistralai-mistral-nemo-9330-v217-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.271s
mistralai-mistral-nemo-9330-v217-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v217-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v217-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217
mistralai-mistral-nemo-9330-v217-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217/config.json
mistralai-mistral-nemo-9330-v217-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217/special_tokens_map.json
mistralai-mistral-nemo-9330-v217-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217/tokenizer_config.json
mistralai-mistral-nemo-9330-v217-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217/tokenizer.json
mistralai-mistral-nemo-9330-v217-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v217/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v217-mkmlizer completed after 114.34s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v217-mkmlizer
Pipeline stage MKMLizer completed in 114.88s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.32s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v217
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Inference service mistralai-mistral-nemo-9330-v217 ready after 250.85309147834778s
Pipeline stage MKMLDeployer completed in 251.45s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.1220602989196777s
Received healthy response to inference request in 1.639186143875122s
Received healthy response to inference request in 0.6254453659057617s
Received healthy response to inference request in 0.9003806114196777s
Received healthy response to inference request in 1.0277690887451172s
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5th percentile: 0.6804324150085449
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50th percentile: 1.0277690887451172
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70th percentile: 1.1032020568847656
80th percentile: 1.2254854679107667
90th percentile: 1.4323358058929443
95th percentile: 1.535760974884033
99th percentile: 1.6185011100769042
mean time: 1.0629683017730713
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2202.56s
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mistralai-mistral-nemo_9330_v217 status is now inactive due to auto deactivation removed underperforming models