developer_uid: Jellywibble
submission_id: mistralai-mistral-nem_93303_v231
model_name: mistralai-mistral-nem_93303_v231
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-12-27T23:48:12+00:00
num_battles: 12908
num_wins: 5369
celo_rating: 1205.64
family_friendly_score: 0.5876
family_friendly_standard_error: 0.006961698643291018
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 1
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6603175480795371, 'latency_mean': 1.5143537950515746, 'latency_p50': 1.5168542861938477, 'latency_p90': 1.6729372978210448}, {'batch_size': 4, 'throughput': 1.577526307025777, 'latency_mean': 2.526483199596405, 'latency_p50': 2.5219074487686157, 'latency_p90': 2.807893228530884}, {'batch_size': 5, 'throughput': 1.7527004057098707, 'latency_mean': 2.841057928800583, 'latency_p50': 2.8415290117263794, 'latency_p90': 3.2220489263534544}, {'batch_size': 8, 'throughput': 2.154864817823906, 'latency_mean': 3.689339226484299, 'latency_p50': 3.704641342163086, 'latency_p90': 4.163643026351929}, {'batch_size': 10, 'throughput': 2.2805484062575596, 'latency_mean': 4.3461167526245115, 'latency_p50': 4.322205305099487, 'latency_p90': 5.033423972129822}, {'batch_size': 12, 'throughput': 2.3932742797381366, 'latency_mean': 4.964510332345963, 'latency_p50': 4.94955039024353, 'latency_p90': 5.600262331962585}, {'batch_size': 15, 'throughput': 2.5249590121217302, 'latency_mean': 5.890043326616287, 'latency_p50': 5.825490593910217, 'latency_p90': 6.723442935943603}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v231
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 2.17
us_pacific_date: 2024-12-27
win_ratio: 0.41594360086767895
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': 1, '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-nem-93303-v231-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v231-mkmlizer to finish
mistralai-mistral-nem-93303-v231-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v231-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v231-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v231-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nem-93303-v231-mkmlizer: Downloaded to shared memory in 58.739s
mistralai-mistral-nem-93303-v231-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpviwfyyg3, device:0
mistralai-mistral-nem-93303-v231-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v231-mkmlizer: quantized model in 37.735s
mistralai-mistral-nem-93303-v231-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 96.474s
mistralai-mistral-nem-93303-v231-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v231-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v231-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231
mistralai-mistral-nem-93303-v231-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231/config.json
mistralai-mistral-nem-93303-v231-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231/special_tokens_map.json
mistralai-mistral-nem-93303-v231-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231/tokenizer_config.json
mistralai-mistral-nem-93303-v231-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231/tokenizer.json
mistralai-mistral-nem-93303-v231-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v231/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v231-mkmlizer completed after 124.85s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v231-mkmlizer
Pipeline stage MKMLizer completed in 125.42s
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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-v231
Waiting for inference service mistralai-mistral-nem-93303-v231 to be ready
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Inference service mistralai-mistral-nem-93303-v231 ready after 281.2215313911438s
Pipeline stage MKMLDeployer completed in 281.77s
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Running pipeline stage StressChecker
Received healthy response to inference request in 0.9512457847595215s
Received healthy response to inference request in 0.23804950714111328s
Received healthy response to inference request in 0.40249037742614746s
Received healthy response to inference request in 0.7515134811401367s
Received healthy response to inference request in 0.3764786720275879s
5 requests
0 failed requests
5th percentile: 0.2657353401184082
10th percentile: 0.29342117309570315
20th percentile: 0.34879283905029296
30th percentile: 0.3816810131072998
40th percentile: 0.39208569526672366
50th percentile: 0.40249037742614746
60th percentile: 0.5420996189117431
70th percentile: 0.6817088603973388
80th percentile: 0.7914599418640137
90th percentile: 0.8713528633117675
95th percentile: 0.9112993240356445
99th percentile: 0.9432564926147461
mean time: 0.5439555644989014
Pipeline stage StressChecker completed in 4.32s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.60s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2135.29s
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mistralai-mistral-nem_93303_v231 status is now inactive due to auto deactivation removed underperforming models