developer_uid: udbhavbamba
submission_id: mistralai-mistral-nem_93303_v463
model_name: mistralai-mistral-nem_93303_v463
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-03-23T03:54:00+00:00
num_battles: 8801
num_wins: 4172
celo_rating: 1259.53
family_friendly_score: 0.6086
family_friendly_standard_error: 0.0069022610788059885
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': 0.6021966067619685, 'latency_mean': 1.660520066022873, 'latency_p50': 1.6574599742889404, 'latency_p90': 1.8517815351486206}, {'batch_size': 3, 'throughput': 1.0891400123037416, 'latency_mean': 2.744927543401718, 'latency_p50': 2.7433176040649414, 'latency_p90': 3.063103675842285}, {'batch_size': 5, 'throughput': 1.3045463424670187, 'latency_mean': 3.816664848327637, 'latency_p50': 3.809161901473999, 'latency_p90': 4.260246682167053}, {'batch_size': 6, 'throughput': 1.3634237589426184, 'latency_mean': 4.379858953952789, 'latency_p50': 4.354558229446411, 'latency_p90': 4.955604887008667}, {'batch_size': 8, 'throughput': 1.4348828721653897, 'latency_mean': 5.5480882668495175, 'latency_p50': 5.518131852149963, 'latency_p90': 6.270289897918701}, {'batch_size': 10, 'throughput': 1.4721017694574092, 'latency_mean': 6.755109691619873, 'latency_p50': 6.714548349380493, 'latency_p90': 7.505457878112793}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v463
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-03-22
win_ratio: 0.47403704124531304
generation_params: {'temperature': 0.6, '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}\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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v463-mkmlizer
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mistralai-mistral-nem-93303-v463-mkmlizer: ║     _____            __           __                                ║
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mistralai-mistral-nem-93303-v463-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v463-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v463-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v463-mkmlizer: Downloaded to shared memory in 51.200s
mistralai-mistral-nem-93303-v463-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppgdrop9p, device:0
mistralai-mistral-nem-93303-v463-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v463-mkmlizer: quantized model in 39.680s
mistralai-mistral-nem-93303-v463-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.880s
mistralai-mistral-nem-93303-v463-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v463-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v463-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v463
mistralai-mistral-nem-93303-v463-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v463/config.json
mistralai-mistral-nem-93303-v463-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v463/special_tokens_map.json
mistralai-mistral-nem-93303-v463-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v463/tokenizer_config.json
mistralai-mistral-nem-93303-v463-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v463/tokenizer.json
Job mistralai-mistral-nem-93303-v463-mkmlizer completed after 132.85s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v463-mkmlizer
Pipeline stage MKMLizer completed in 133.32s
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Inference service mistralai-mistral-nem-93303-v463 ready after 90.42996287345886s
Pipeline stage MKMLDeployer completed in 90.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.425767660140991s
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Received healthy response to inference request in 2.0216145515441895s
5 requests
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5th percentile: 1.7336437702178955
10th percentile: 1.7487337589263916
20th percentile: 1.7789137363433838
30th percentile: 1.7999150276184082
40th percentile: 1.811737632751465
50th percentile: 1.8235602378845215
60th percentile: 1.9027819633483887
70th percentile: 1.9820036888122559
80th percentile: 2.10244517326355
90th percentile: 2.2641064167022704
95th percentile: 2.3449370384216306
99th percentile: 2.409601535797119
mean time: 1.9566999912261962
Pipeline stage StressChecker completed in 11.11s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4716.11s
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mistralai-mistral-nem_93303_v463 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v463 status is now torndown due to DeploymentManager action