mistralai-mistral-nem_93303

developer_uid: udbhavbamba

submission_id: mistralai-mistral-nem_93303_v459

model_name: nemo-run2-fix-prompt-template

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-03-22T08:56:31+00:00

num_battles: 8744

num_wins: 4063

celo_rating: 1255.01

family_friendly_score: 0.5966

family_friendly_standard_error: 0.006937844622071036

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': 0.5953067612723074, 'latency_mean': 1.6797108340263367, 'latency_p50': 1.6750478744506836, 'latency_p90': 1.850978708267212}, {'batch_size': 3, 'throughput': 1.0917430450948247, 'latency_mean': 2.73672234416008, 'latency_p50': 2.7486332654953003, 'latency_p90': 2.9873496532440185}, {'batch_size': 5, 'throughput': 1.3098249454497373, 'latency_mean': 3.798855654001236, 'latency_p50': 3.805343270301819, 'latency_p90': 4.279691767692566}, {'batch_size': 6, 'throughput': 1.3801120171261265, 'latency_mean': 4.3411213195323946, 'latency_p50': 4.338250160217285, 'latency_p90': 4.8341068983078}, {'batch_size': 8, 'throughput': 1.4453417976210141, 'latency_mean': 5.500783680677414, 'latency_p50': 5.500464200973511, 'latency_p90': 6.275914406776428}, {'batch_size': 10, 'throughput': 1.4791186940820853, 'latency_mean': 6.710132322311401, 'latency_p50': 6.7828710079193115, 'latency_p90': 7.447537231445312}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: nemo-run2-fix-prompt-template

is_internal_developer: False

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-03-22

win_ratio: 0.4646614821591949

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': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<s>{memory}', 'prompt_template': '[INST]{prompt}[/INST]', '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-v459-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v459-mkmlizer to finish
mistralai-mistral-nem-93303-v459-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v459-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v459-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v459-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v459-mkmlizer: Downloaded to shared memory in 54.271s
mistralai-mistral-nem-93303-v459-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphk5c6v_z, device:0
mistralai-mistral-nem-93303-v459-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v459-mkmlizer: quantized model in 35.198s
mistralai-mistral-nem-93303-v459-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.470s
mistralai-mistral-nem-93303-v459-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v459-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v459-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459
mistralai-mistral-nem-93303-v459-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459/config.json
mistralai-mistral-nem-93303-v459-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459/special_tokens_map.json
mistralai-mistral-nem-93303-v459-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459/tokenizer_config.json
mistralai-mistral-nem-93303-v459-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459/tokenizer.json
mistralai-mistral-nem-93303-v459-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v459/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v459-mkmlizer: 
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Job mistralai-mistral-nem-93303-v459-mkmlizer completed after 114.66s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v459-mkmlizer
Pipeline stage MKMLizer completed in 115.15s
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Creating inference service mistralai-mistral-nem-93303-v459
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Inference service mistralai-mistral-nem-93303-v459 ready after 80.40211820602417s
Pipeline stage MKMLDeployer completed in 80.86s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.402034044265747s
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Received healthy response to inference request in 1.7128405570983887s
Received healthy response to inference request in 1.563891887664795s
Received healthy response to inference request in 1.6638758182525635s
5 requests
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mean time: 1.7821186542510987
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