mistralai-mistral-nem_93303

developer_uid: udbhavbamba

submission_id: mistralai-mistral-nem_93303_v462

model_name: mistralai-mistral-nem_93303_v462

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-03-22T12:19:03+00:00

num_battles: 9536

num_wins: 4307

celo_rating: 1249.08

family_friendly_score: 0.6158

family_friendly_standard_error: 0.006878813269743554

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': 0.6064813246680075, 'latency_mean': 1.648783038854599, 'latency_p50': 1.6403014659881592, 'latency_p90': 1.8096185207366944}, {'batch_size': 3, 'throughput': 1.0987137817990407, 'latency_mean': 2.713652608394623, 'latency_p50': 2.7016175985336304, 'latency_p90': 2.9977184534072876}, {'batch_size': 5, 'throughput': 1.3260239825765616, 'latency_mean': 3.7471369695663452, 'latency_p50': 3.727978229522705, 'latency_p90': 4.222354435920716}, {'batch_size': 6, 'throughput': 1.3872158436719602, 'latency_mean': 4.2952743268013, 'latency_p50': 4.292873740196228, 'latency_p90': 4.825437045097351}, {'batch_size': 8, 'throughput': 1.4524730320993897, 'latency_mean': 5.469062000513077, 'latency_p50': 5.483477234840393, 'latency_p90': 6.11458203792572}, {'batch_size': 10, 'throughput': 1.483664227052487, 'latency_mean': 6.687991487979889, 'latency_p50': 6.652148008346558, 'latency_p90': 7.463059854507446}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nem_93303_v462

is_internal_developer: False

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-03-22

win_ratio: 0.4516568791946309

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.2, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}. {bot_name} always responds in less than 60 words. \n####\n", 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST]{user_name}: {message}[/INST]', '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-v462-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v462-mkmlizer to finish
mistralai-mistral-nem-93303-v462-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v462-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v462-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v462-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v462-mkmlizer: Downloaded to shared memory in 56.685s
mistralai-mistral-nem-93303-v462-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwzg30bky, device:0
mistralai-mistral-nem-93303-v462-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v462-mkmlizer: quantized model in 35.323s
mistralai-mistral-nem-93303-v462-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 92.008s
mistralai-mistral-nem-93303-v462-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v462-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v462/config.json
mistralai-mistral-nem-93303-v462-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v462/special_tokens_map.json
mistralai-mistral-nem-93303-v462-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v462/tokenizer_config.json
mistralai-mistral-nem-93303-v462-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v462/tokenizer.json
mistralai-mistral-nem-93303-v462-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v462/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v462-mkmlizer: 
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Job mistralai-mistral-nem-93303-v462-mkmlizer completed after 124.97s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v462-mkmlizer
Pipeline stage MKMLizer completed in 125.52s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v462
Waiting for inference service mistralai-mistral-nem-93303-v462 to be ready
Inference service mistralai-mistral-nem-93303-v462 ready after 80.4196662902832s
Pipeline stage MKMLDeployer completed in 81.09s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4634954929351807s
Received healthy response to inference request in 1.6635115146636963s
Received healthy response to inference request in 1.5675246715545654s
Received healthy response to inference request in 1.8221626281738281s
Received healthy response to inference request in 1.577758550643921s
5 requests
0 failed requests
5th percentile: 1.5695714473724365
10th percentile: 1.5716182231903075
20th percentile: 1.5757117748260498
30th percentile: 1.594909143447876
40th percentile: 1.6292103290557862
50th percentile: 1.6635115146636963
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70th percentile: 1.7904324054718017
80th percentile: 1.9504292011260986
90th percentile: 2.2069623470306396
95th percentile: 2.33522891998291
99th percentile: 2.4378421783447264
mean time: 1.8188905715942383
Pipeline stage StressChecker completed in 10.49s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2490.51s
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