mistralai-mistral-nem_93303

developer_uid: zonemercy

submission_id: mistralai-mistral-nem_93303_v255

model_name: tempv1-0

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-01-07T13:21:11+00:00

num_battles: 9011

num_wins: 4102

celo_rating: 1240.48

family_friendly_score: 0.593

family_friendly_standard_error: 0.00694767587039004

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': 0.6320214710250525, 'latency_mean': 1.5821626281738281, 'latency_p50': 1.5913589000701904, 'latency_p90': 1.733394742012024}, {'batch_size': 3, 'throughput': 1.256272031651687, 'latency_mean': 2.377480050325394, 'latency_p50': 2.3801283836364746, 'latency_p90': 2.605568695068359}, {'batch_size': 5, 'throughput': 1.5929031154357023, 'latency_mean': 3.1281644225120546, 'latency_p50': 3.1451956033706665, 'latency_p90': 3.4849575757980347}, {'batch_size': 6, 'throughput': 1.7051614849054701, 'latency_mean': 3.5002470457553865, 'latency_p50': 3.50457227230072, 'latency_p90': 3.93515682220459}, {'batch_size': 8, 'throughput': 1.8500801875984727, 'latency_mean': 4.29156808257103, 'latency_p50': 4.293073892593384, 'latency_p90': 4.839919543266296}, {'batch_size': 10, 'throughput': 1.9363705629592585, 'latency_mean': 5.13376229763031, 'latency_p50': 5.063370943069458, 'latency_p90': 5.798465371131897}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: tempv1-0

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.76

us_pacific_date: 2025-01-07

win_ratio: 0.4552213960714682

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'User:', '<|eot_id|>', 'You:', '####', '<|im_end|>', 'Bot:', '</s>'], '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-nem-93303-v255-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v255-mkmlizer to finish
mistralai-mistral-nem-93303-v255-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v255-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v255-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v255-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v255-mkmlizer: Downloaded to shared memory in 52.613s
mistralai-mistral-nem-93303-v255-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0fj5218p, device:0
mistralai-mistral-nem-93303-v255-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v255-mkmlizer: quantized model in 38.671s
mistralai-mistral-nem-93303-v255-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 91.285s
mistralai-mistral-nem-93303-v255-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v255-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v255-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255
mistralai-mistral-nem-93303-v255-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255/config.json
mistralai-mistral-nem-93303-v255-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255/special_tokens_map.json
mistralai-mistral-nem-93303-v255-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255/tokenizer_config.json
mistralai-mistral-nem-93303-v255-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255/tokenizer.json
mistralai-mistral-nem-93303-v255-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v255/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v255-mkmlizer: 
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Job mistralai-mistral-nem-93303-v255-mkmlizer completed after 114.89s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v255-mkmlizer
Pipeline stage MKMLizer completed in 115.38s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v255
Waiting for inference service mistralai-mistral-nem-93303-v255 to be ready
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Inference service mistralai-mistral-nem-93303-v255 ready after 361.2489273548126s
Pipeline stage MKMLDeployer completed in 362.32s
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Running pipeline stage StressChecker
Received healthy response to inference request in 0.9155499935150146s
Received healthy response to inference request in 1.0358326435089111s
Received healthy response to inference request in 0.8748672008514404s
Received healthy response to inference request in 1.7160801887512207s
Received healthy response to inference request in 1.3312973976135254s
5 requests
0 failed requests
5th percentile: 0.8830037593841553
10th percentile: 0.8911403179168701
20th percentile: 0.9074134349822998
30th percentile: 0.9396065235137939
40th percentile: 0.9877195835113526
50th percentile: 1.0358326435089111
60th percentile: 1.1540185451507567
70th percentile: 1.2722044467926026
80th percentile: 1.4082539558410645
90th percentile: 1.5621670722961425
95th percentile: 1.6391236305236816
99th percentile: 1.700688877105713
mean time: 1.1747254848480224
Pipeline stage StressChecker completed in 7.66s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2517.98s
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mistralai-mistral-nem_93303_v255 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v255 status is now torndown due to DeploymentManager action