developer_uid: Jellywibble
submission_id: mistralai-mistral-nemo_9330_v219
model_name: mistralai-mistral-nemo_9330_v219
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-12-22T23:43:15+00:00
num_battles: 16165
num_wins: 7800
celo_rating: 1247.23
family_friendly_score: 0.5973999999999999
family_friendly_standard_error: 0.006935607255316581
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': 0.6167896822047464, 'latency_mean': 1.6212400269508362, 'latency_p50': 1.6081651449203491, 'latency_p90': 1.7974992752075196}, {'batch_size': 3, 'throughput': 1.1414508659700735, 'latency_mean': 2.6247862482070925, 'latency_p50': 2.626214861869812, 'latency_p90': 2.8785875558853147}, {'batch_size': 5, 'throughput': 1.3726774571083866, 'latency_mean': 3.6252559959888457, 'latency_p50': 3.6400046348571777, 'latency_p90': 4.0057737827301025}, {'batch_size': 6, 'throughput': 1.443910617787101, 'latency_mean': 4.1318212985992435, 'latency_p50': 4.112582802772522, 'latency_p90': 4.714912939071655}, {'batch_size': 8, 'throughput': 1.5194083730906438, 'latency_mean': 5.233035414218903, 'latency_p50': 5.267435193061829, 'latency_p90': 5.8836607217788695}, {'batch_size': 10, 'throughput': 1.547188228585022, 'latency_mean': 6.407701478004456, 'latency_p50': 6.395936846733093, 'latency_p90': 7.1393293857574465}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nemo_9330_v219
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.39
us_pacific_date: 2024-12-22
win_ratio: 0.4825239715434581
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': '', '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-nemo-9330-v219-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v219-mkmlizer to finish
mistralai-mistral-nemo-9330-v219-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v219-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v219-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v219-mkmlizer: Downloaded to shared memory in 59.201s
mistralai-mistral-nemo-9330-v219-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp71vzng76, device:0
mistralai-mistral-nemo-9330-v219-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v219-mkmlizer: quantized model in 39.559s
mistralai-mistral-nemo-9330-v219-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 98.761s
mistralai-mistral-nemo-9330-v219-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v219-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v219-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219
mistralai-mistral-nemo-9330-v219-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219/config.json
mistralai-mistral-nemo-9330-v219-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219/special_tokens_map.json
mistralai-mistral-nemo-9330-v219-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219/tokenizer_config.json
mistralai-mistral-nemo-9330-v219-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219/tokenizer.json
mistralai-mistral-nemo-9330-v219-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v219/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v219-mkmlizer completed after 135.45s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v219-mkmlizer
Pipeline stage MKMLizer completed in 135.94s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Creating inference service mistralai-mistral-nemo-9330-v219
Waiting for inference service mistralai-mistral-nemo-9330-v219 to be ready
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Inference service mistralai-mistral-nemo-9330-v219 ready after 271.09030389785767s
Pipeline stage MKMLDeployer completed in 271.63s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.4344544410705566s
Received healthy response to inference request in 1.8903436660766602s
Received healthy response to inference request in 1.6315646171569824s
Received healthy response to inference request in 1.4754676818847656s
Received healthy response to inference request in 1.4949169158935547s
5 requests
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5th percentile: 1.4426570892333985
10th percentile: 1.4508597373962402
20th percentile: 1.4672650337219237
30th percentile: 1.4793575286865235
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70th percentile: 1.6042350769042968
80th percentile: 1.683320426940918
90th percentile: 1.786832046508789
95th percentile: 1.8385878562927245
99th percentile: 1.879992504119873
mean time: 1.5853494644165038
Pipeline stage StressChecker completed in 9.50s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2559.29s
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mistralai-mistral-nemo_9330_v219 status is now inactive due to auto deactivation removed underperforming models