mistralai-mistral-nem_93303

developer_uid: rica40325

submission_id: mistralai-mistral-nem_93303_v480

model_name: mistralai-mistral-nem_93303_v480

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-05-12T08:42:51+00:00

num_battles: 10644

num_wins: 4853

celo_rating: 1258.11

family_friendly_score: 0.5972

family_friendly_standard_error: 0.006936168394726299

submission_type: basic

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.5873340128699557, 'latency_mean': 1.7025355637073516, 'latency_p50': 1.6993608474731445, 'latency_p90': 1.8742393255233765}, {'batch_size': 3, 'throughput': 1.0371082943031962, 'latency_mean': 2.8796146368980406, 'latency_p50': 2.877328634262085, 'latency_p90': 3.158107805252075}, {'batch_size': 5, 'throughput': 1.2590837989172956, 'latency_mean': 3.9538430976867676, 'latency_p50': 3.946124315261841, 'latency_p90': 4.4653376817703245}, {'batch_size': 6, 'throughput': 1.320952400702093, 'latency_mean': 4.524472004175186, 'latency_p50': 4.513651490211487, 'latency_p90': 5.030961346626282}, {'batch_size': 8, 'throughput': 1.3979563442910852, 'latency_mean': 5.682878453731536, 'latency_p50': 5.646428346633911, 'latency_p90': 6.538953542709351}, {'batch_size': 10, 'throughput': 1.4038729193006447, 'latency_mean': 7.061953945159912, 'latency_p50': 7.0759947299957275, 'latency_p90': 7.860032939910889}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nem_93303_v480

is_internal_developer: False

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2025-05-12

win_ratio: 0.45593761743705374

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}

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v480-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v480-mkmlizer to finish
mistralai-mistral-nem-93303-v480-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v480-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
mistralai-mistral-nem-93303-v480-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v480-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v480-mkmlizer: Downloaded to shared memory in 46.302s
mistralai-mistral-nem-93303-v480-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd700v3yl, device:0
mistralai-mistral-nem-93303-v480-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v480-mkmlizer: quantized model in 36.401s
mistralai-mistral-nem-93303-v480-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 82.703s
mistralai-mistral-nem-93303-v480-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v480-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v480-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480
mistralai-mistral-nem-93303-v480-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480/config.json
mistralai-mistral-nem-93303-v480-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480/special_tokens_map.json
mistralai-mistral-nem-93303-v480-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480/tokenizer_config.json
mistralai-mistral-nem-93303-v480-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480/tokenizer.json
mistralai-mistral-nem-93303-v480-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v480/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v480-mkmlizer: 
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Job mistralai-mistral-nem-93303-v480-mkmlizer completed after 114.51s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v480-mkmlizer
Pipeline stage MKMLizer completed in 115.02s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v480
Waiting for inference service mistralai-mistral-nem-93303-v480 to be ready
Inference service mistralai-mistral-nem-93303-v480 ready after 120.58691024780273s
Pipeline stage MKMLDeployer completed in 121.16s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4488630294799805s
Received healthy response to inference request in 1.7587144374847412s
Received healthy response to inference request in 1.653898000717163s
Received healthy response to inference request in 1.7036824226379395s
Received healthy response to inference request in 1.5781700611114502s
5 requests
0 failed requests
5th percentile: 1.5933156490325928
10th percentile: 1.6084612369537354
20th percentile: 1.6387524127960205
30th percentile: 1.6638548851013184
40th percentile: 1.6837686538696288
50th percentile: 1.7036824226379395
60th percentile: 1.7256952285766602
70th percentile: 1.7477080345153808
80th percentile: 1.8967441558837892
90th percentile: 2.172803592681885
95th percentile: 2.3108333110809323
99th percentile: 2.4212570858001707
mean time: 1.828665590286255
Pipeline stage StressChecker completed in 10.47s
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Running pipeline stage OfflineFamilyFriendlyScorer
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 4673.39s
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mistralai-mistral-nem_93303_v480 status is now torndown due to DeploymentManager action