mistralai-mistral-nem_93303

developer_uid: junhua024

submission_id: mistralai-mistral-nem_93303_v522

model_name: mistralai-mistral-nem_93303_v522

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-07-20T11:33:01+00:00

num_battles: 8312

num_wins: 3877

celo_rating: 1250.66

family_friendly_score: 0.5926

family_friendly_standard_error: 0.0069487443470025575

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

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5986400659932712, 'latency_mean': 1.670280168056488, 'latency_p50': 1.6692049503326416, 'latency_p90': 1.8299643516540527}, {'batch_size': 3, 'throughput': 1.0744392598865309, 'latency_mean': 2.7794355368614196, 'latency_p50': 2.7634178400039673, 'latency_p90': 3.087904167175293}, {'batch_size': 5, 'throughput': 1.298915287385608, 'latency_mean': 3.830968029499054, 'latency_p50': 3.844440460205078, 'latency_p90': 4.243366074562073}, {'batch_size': 6, 'throughput': 1.3606744561925748, 'latency_mean': 4.390355253219605, 'latency_p50': 4.390178680419922, 'latency_p90': 4.945034217834473}, {'batch_size': 8, 'throughput': 1.40653731751413, 'latency_mean': 5.647095935344696, 'latency_p50': 5.675268530845642, 'latency_p90': 6.269940686225891}, {'batch_size': 10, 'throughput': 1.4597972048719514, 'latency_mean': 6.792399837970733, 'latency_p50': 6.885197281837463, 'latency_p90': 7.657649827003479}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nem_93303_v522

is_internal_developer: False

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-20

win_ratio: 0.46643407122232916

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v522-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v522-mkmlizer to finish
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mistralai-mistral-nem-93303-v522-mkmlizer: ║                                                                     ║
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mistralai-mistral-nem-93303-v522-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Version: 0.29.15                                                   ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
mistralai-mistral-nem-93303-v522-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v522-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v522-mkmlizer: Downloaded to shared memory in 48.985s
mistralai-mistral-nem-93303-v522-mkmlizer: Checking if mistralai/Mistral-Nemo-Instruct-2407 already exists in ChaiML
mistralai-mistral-nem-93303-v522-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0377s9pe, device:0
mistralai-mistral-nem-93303-v522-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v522-mkmlizer: quantized model in 36.788s
mistralai-mistral-nem-93303-v522-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.877s
mistralai-mistral-nem-93303-v522-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v522-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v522-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v522/nvidia
mistralai-mistral-nem-93303-v522-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v522/nvidia/config.json
mistralai-mistral-nem-93303-v522-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v522/nvidia/special_tokens_map.json
mistralai-mistral-nem-93303-v522-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v522/nvidia/tokenizer_config.json
mistralai-mistral-nem-93303-v522-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v522/nvidia/tokenizer.json
mistralai-mistral-nem-93303-v522-mkmlizer: 
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Job mistralai-mistral-nem-93303-v522-mkmlizer completed after 116.64s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v522-mkmlizer
Pipeline stage MKMLizer completed in 117.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v522
Waiting for inference service mistralai-mistral-nem-93303-v522 to be ready
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service mistralai-mistral-nem-93303-v522 ready after 331.7241735458374s
Pipeline stage MKMLDeployer completed in 332.45s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5099432468414307s
Received healthy response to inference request in 1.6053555011749268s
Received healthy response to inference request in 1.5216832160949707s
Received healthy response to inference request in 1.276991605758667s
Received healthy response to inference request in 1.612915277481079s
5 requests
0 failed requests
5th percentile: 1.3259299278259278
10th percentile: 1.3748682498931886
20th percentile: 1.47274489402771
30th percentile: 1.538417673110962
40th percentile: 1.5718865871429444
50th percentile: 1.6053555011749268
60th percentile: 1.6083794116973877
70th percentile: 1.6114033222198487
80th percentile: 1.7923208713531495
90th percentile: 2.15113205909729
95th percentile: 2.33053765296936
99th percentile: 2.4740621280670165
mean time: 1.7053777694702148
Pipeline stage StressChecker completed in 9.76s
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2515.32s
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mistralai-mistral-nem_93303_v522 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v522 status is now torndown due to DeploymentManager action