developer_uid: Luna1040
submission_id: mistralai-mistral-nem_93303_v368
model_name: mistralai-mistral-nem_93303_v368
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-02-19T12:12:41+00:00
num_battles: 6752
num_wins: 3065
celo_rating: 1235.69
family_friendly_score: 0.6044
family_friendly_standard_error: 0.006915209902815677
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': 0.6074928320099993, 'latency_mean': 1.6460008668899535, 'latency_p50': 1.6344856023788452, 'latency_p90': 1.8180209159851075}, {'batch_size': 3, 'throughput': 1.1061773495137486, 'latency_mean': 2.7060717797279357, 'latency_p50': 2.7227742671966553, 'latency_p90': 3.0007774114608763}, {'batch_size': 5, 'throughput': 1.3377197111154573, 'latency_mean': 3.7187199246883393, 'latency_p50': 3.74207603931427, 'latency_p90': 4.127910590171814}, {'batch_size': 6, 'throughput': 1.401156279039043, 'latency_mean': 4.270698759555817, 'latency_p50': 4.2787216901779175, 'latency_p90': 4.73979926109314}, {'batch_size': 8, 'throughput': 1.4622474914254455, 'latency_mean': 5.43532901763916, 'latency_p50': 5.424093723297119, 'latency_p90': 6.151281642913818}, {'batch_size': 10, 'throughput': 1.50177179399347, 'latency_mean': 6.619087406396866, 'latency_p50': 6.549151420593262, 'latency_p90': 7.570433712005615}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v368
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-02-19
win_ratio: 0.45393957345971564
generation_params: {'temperature': 0.7, 'top_p': 0.8, 'min_p': 0.1, 'top_k': 100, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v368-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v368-mkmlizer to finish
mistralai-mistral-nem-93303-v368-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v368-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v368-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v368-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v368-mkmlizer: Downloaded to shared memory in 55.395s
mistralai-mistral-nem-93303-v368-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsu0agsvg, device:0
mistralai-mistral-nem-93303-v368-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v368-mkmlizer: quantized model in 36.143s
mistralai-mistral-nem-93303-v368-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 91.538s
mistralai-mistral-nem-93303-v368-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v368-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v368-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v368
mistralai-mistral-nem-93303-v368-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v368/special_tokens_map.json
mistralai-mistral-nem-93303-v368-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v368/config.json
mistralai-mistral-nem-93303-v368-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v368/tokenizer_config.json
mistralai-mistral-nem-93303-v368-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v368/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v368-mkmlizer: 
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Job mistralai-mistral-nem-93303-v368-mkmlizer completed after 114.06s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v368-mkmlizer
Pipeline stage MKMLizer completed in 115.51s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v368
Waiting for inference service mistralai-mistral-nem-93303-v368 to be ready
Inference service mistralai-mistral-nem-93303-v368 ready after 170.58942699432373s
Pipeline stage MKMLDeployer completed in 171.09s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3465850353240967s
Received healthy response to inference request in 1.6993720531463623s
Received healthy response to inference request in 1.69974684715271s
Received healthy response to inference request in 1.4513156414031982s
Received healthy response to inference request in 1.507542610168457s
5 requests
0 failed requests
5th percentile: 1.46256103515625
10th percentile: 1.4738064289093018
20th percentile: 1.4962972164154054
30th percentile: 1.5459084987640381
40th percentile: 1.6226402759552
50th percentile: 1.6993720531463623
60th percentile: 1.6995219707489013
70th percentile: 1.6996718883514403
80th percentile: 1.8291144847869873
90th percentile: 2.087849760055542
95th percentile: 2.217217397689819
99th percentile: 2.3207115077972413
mean time: 1.7409124374389648
Pipeline stage StressChecker completed in 9.99s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2723.47s
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