developer_uid: udbhavbamba
submission_id: mistralai-mistral-nem_93303_v465
model_name: resubmit
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-03-23T05:21:34+00:00
num_battles: 9903
num_wins: 4616
celo_rating: 1252.71
family_friendly_score: 0.5968
family_friendly_standard_error: 0.006937287077813632
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': 0.6053418452256352, 'latency_mean': 1.6518852853775023, 'latency_p50': 1.653322696685791, 'latency_p90': 1.8208766222000121}, {'batch_size': 3, 'throughput': 1.1068547791790668, 'latency_mean': 2.69984477519989, 'latency_p50': 2.68703556060791, 'latency_p90': 2.9903841257095336}, {'batch_size': 5, 'throughput': 1.336387504086197, 'latency_mean': 3.7218909466266634, 'latency_p50': 3.7265443801879883, 'latency_p90': 4.161609888076782}, {'batch_size': 6, 'throughput': 1.4070240230764735, 'latency_mean': 4.242364770174026, 'latency_p50': 4.2300883531570435, 'latency_p90': 4.788339900970459}, {'batch_size': 8, 'throughput': 1.4699592217165807, 'latency_mean': 5.412969731092453, 'latency_p50': 5.38996684551239, 'latency_p90': 6.089505124092102}, {'batch_size': 10, 'throughput': 1.5052931047965878, 'latency_mean': 6.604510726928711, 'latency_p50': 6.596677780151367, 'latency_p90': 7.400177431106568}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: resubmit
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-03-22
win_ratio: 0.4661213773603958
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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v465-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v465-mkmlizer to finish
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mistralai-mistral-nem-93303-v465-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v465-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v465-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v465-mkmlizer: Downloaded to shared memory in 49.317s
mistralai-mistral-nem-93303-v465-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpj74co8x8, device:0
mistralai-mistral-nem-93303-v465-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v465-mkmlizer: quantized model in 35.841s
mistralai-mistral-nem-93303-v465-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.158s
mistralai-mistral-nem-93303-v465-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v465-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v465-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v465
mistralai-mistral-nem-93303-v465-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v465/config.json
mistralai-mistral-nem-93303-v465-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v465/special_tokens_map.json
mistralai-mistral-nem-93303-v465-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v465/tokenizer_config.json
mistralai-mistral-nem-93303-v465-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v465/tokenizer.json
Job mistralai-mistral-nem-93303-v465-mkmlizer completed after 126.58s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v465-mkmlizer
Pipeline stage MKMLizer completed in 127.08s
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Creating inference service mistralai-mistral-nem-93303-v465
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Inference service mistralai-mistral-nem-93303-v465 ready after 90.42198920249939s
Pipeline stage MKMLDeployer completed in 90.98s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.189608097076416s
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Received healthy response to inference request in 1.5240192413330078s
Received healthy response to inference request in 1.4732563495635986s
Received healthy response to inference request in 1.6518750190734863s
5 requests
0 failed requests
5th percentile: 1.458169984817505
10th percentile: 1.4619415760040284
20th percentile: 1.4694847583770752
30th percentile: 1.4834089279174805
40th percentile: 1.5037140846252441
50th percentile: 1.5240192413330078
60th percentile: 1.5751615524291993
70th percentile: 1.6263038635253906
80th percentile: 1.7594216346740723
90th percentile: 1.9745148658752443
95th percentile: 2.08206148147583
99th percentile: 2.1680987739562987
mean time: 1.6586314201354981
Pipeline stage StressChecker completed in 9.59s
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Shutdown handler de-registered
mistralai-mistral-nem_93303_v465 status is now deployed due to DeploymentManager action
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4492.99s
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mistralai-mistral-nem_93303_v465 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v465 status is now torndown due to DeploymentManager action