mistralai-mistral-nem_93303

developer_uid: NischayDnk

submission_id: mistralai-mistral-nem_93303_v456

model_name: mistralai-mistral-nem_93303_v456

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-03-21T16:58:56+00:00

num_battles: 7955

num_wins: 3637

celo_rating: 1251.01

family_friendly_score: 0.6255999999999999

family_friendly_standard_error: 0.006844335468107915

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': 0.6073144618767438, 'latency_mean': 1.6465237402915955, 'latency_p50': 1.638200283050537, 'latency_p90': 1.823366904258728}, {'batch_size': 3, 'throughput': 1.1125316316946205, 'latency_mean': 2.692332044839859, 'latency_p50': 2.689995527267456, 'latency_p90': 2.9567792654037475}, {'batch_size': 5, 'throughput': 1.3433688567735187, 'latency_mean': 3.7025601387023928, 'latency_p50': 3.6997134685516357, 'latency_p90': 4.174492526054382}, {'batch_size': 6, 'throughput': 1.4114388589173645, 'latency_mean': 4.216147085428238, 'latency_p50': 4.227061152458191, 'latency_p90': 4.654334998130798}, {'batch_size': 8, 'throughput': 1.4877144610505009, 'latency_mean': 5.345108172893524, 'latency_p50': 5.362251400947571, 'latency_p90': 5.999704098701477}, {'batch_size': 10, 'throughput': 1.5176630483429314, 'latency_mean': 6.538787360191345, 'latency_p50': 6.554545640945435, 'latency_p90': 7.396082949638367}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nem_93303_v456

is_internal_developer: False

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-03-21

win_ratio: 0.45719673161533625

generation_params: {'temperature': 0.45, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v456-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v456-mkmlizer to finish
mistralai-mistral-nem-93303-v456-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v456-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v456-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v456-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v456-mkmlizer: Downloaded to shared memory in 55.011s
mistralai-mistral-nem-93303-v456-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp41jqe8f5, device:0
mistralai-mistral-nem-93303-v456-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v456-mkmlizer: quantized model in 35.806s
mistralai-mistral-nem-93303-v456-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.817s
mistralai-mistral-nem-93303-v456-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v456-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v456-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456
mistralai-mistral-nem-93303-v456-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456/config.json
mistralai-mistral-nem-93303-v456-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456/special_tokens_map.json
mistralai-mistral-nem-93303-v456-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456/tokenizer_config.json
mistralai-mistral-nem-93303-v456-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456/tokenizer.json
mistralai-mistral-nem-93303-v456-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v456/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v456-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.77it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 50.89it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 44.30it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 42.44it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 49.09it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 45.51it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 44.16it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 49.41it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 48.65it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:07, 37.78it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 37.57it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 41.39it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:06, 42.85it/s]
Loading 0:  23%|██▎       | 82/363 [00:01<00:07, 36.13it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:06, 43.88it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:06, 43.42it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 43.65it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:04, 52.23it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 47.65it/s]
Loading 0:  33%|███▎      | 121/363 [00:02<00:05, 46.39it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 47.08it/s]
Loading 0:  36%|███▋      | 132/363 [00:02<00:05, 44.81it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:05, 43.40it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 33.34it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 34.36it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 33.37it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 39.56it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 42.01it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 43.58it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 44.79it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 36.57it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 42.78it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 43.00it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 44.43it/s]
Loading 0:  55%|█████▍    | 198/363 [00:04<00:03, 45.08it/s]
Loading 0:  56%|█████▌    | 203/363 [00:04<00:04, 38.42it/s]
Loading 0:  58%|█████▊    | 210/363 [00:04<00:03, 45.40it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 46.30it/s]
Loading 0:  61%|██████    | 222/363 [00:05<00:03, 46.32it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 32.91it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 32.72it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 37.85it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:03, 39.50it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 41.74it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 42.31it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 42.25it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 46.46it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 46.45it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 45.27it/s]
Loading 0:  77%|███████▋  | 279/363 [00:06<00:01, 46.34it/s]
Loading 0:  78%|███████▊  | 284/363 [00:06<00:01, 40.13it/s]
Loading 0:  80%|████████  | 291/363 [00:06<00:01, 47.12it/s]
Loading 0:  82%|████████▏ | 296/363 [00:06<00:01, 47.78it/s]
Loading 0:  83%|████████▎ | 303/363 [00:07<00:01, 48.20it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:20,  2.66it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:15,  3.40it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:07,  5.49it/s]
Loading 0:  90%|████████▉ | 325/363 [00:14<00:05,  7.16it/s]
Loading 0:  91%|█████████ | 330/363 [00:14<00:03,  9.04it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 13.69it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:01, 17.27it/s]
Loading 0:  96%|█████████▋| 350/363 [00:14<00:00, 21.49it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 26.36it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 30.14it/s]
                                                            
Job mistralai-mistral-nem-93303-v456-mkmlizer completed after 114.72s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v456-mkmlizer
Pipeline stage MKMLizer completed in 115.31s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v456
Waiting for inference service mistralai-mistral-nem-93303-v456 to be ready
Inference service mistralai-mistral-nem-93303-v456 ready after 80.44823050498962s
Pipeline stage MKMLDeployer completed in 81.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4235002994537354s
Received healthy response to inference request in 1.5966124534606934s
Received healthy response to inference request in 1.583815336227417s
Received healthy response to inference request in 1.7758853435516357s
Received healthy response to inference request in 1.6055281162261963s
5 requests
0 failed requests
5th percentile: 1.5863747596740723
10th percentile: 1.5889341831207275
20th percentile: 1.594053030014038
30th percentile: 1.598395586013794
40th percentile: 1.6019618511199951
50th percentile: 1.6055281162261963
60th percentile: 1.673671007156372
70th percentile: 1.7418138980865479
80th percentile: 1.9054083347320558
90th percentile: 2.1644543170928956
95th percentile: 2.2939773082733153
99th percentile: 2.3975957012176514
mean time: 1.7970683097839355
Pipeline stage StressChecker completed in 10.13s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.66s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v456 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2522.74s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v456 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v456 status is now torndown due to DeploymentManager action