developer_uid: rica40325
submission_id: mistralai-mistral-nem_93303_v452
model_name: mistralai-mistral-nem_93303_v452
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2025-03-10T15:01:35+00:00
num_battles: 14395
num_wins: 6523
celo_rating: 1242.09
family_friendly_score: 0.5993999999999999
family_friendly_standard_error: 0.006929929869775018
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': 0.6090943605932836, 'latency_mean': 1.641695010662079, 'latency_p50': 1.6462467908859253, 'latency_p90': 1.806318974494934}, {'batch_size': 3, 'throughput': 1.1099720446517698, 'latency_mean': 2.7011130690574645, 'latency_p50': 2.7009801864624023, 'latency_p90': 2.9593517065048216}, {'batch_size': 5, 'throughput': 1.3416437243905346, 'latency_mean': 3.711380571126938, 'latency_p50': 3.701667904853821, 'latency_p90': 4.166772079467774}, {'batch_size': 6, 'throughput': 1.4124911956803183, 'latency_mean': 4.2283355128765105, 'latency_p50': 4.2270108461380005, 'latency_p90': 4.795283961296081}, {'batch_size': 8, 'throughput': 1.4807474585605533, 'latency_mean': 5.3718200623989105, 'latency_p50': 5.3403226137161255, 'latency_p90': 6.1017361879348755}, {'batch_size': 10, 'throughput': 1.522981963087601, 'latency_mean': 6.53808389544487, 'latency_p50': 6.556812286376953, 'latency_p90': 7.329478001594543}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v452
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-03-10
win_ratio: 0.45314345258770405
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': '{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-v452-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v452-mkmlizer to finish
mistralai-mistral-nem-93303-v452-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v452-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v452-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v452-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v452-mkmlizer: Downloaded to shared memory in 51.619s
mistralai-mistral-nem-93303-v452-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0k9bwyck, device:0
mistralai-mistral-nem-93303-v452-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v452-mkmlizer: quantized model in 35.834s
mistralai-mistral-nem-93303-v452-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 87.453s
mistralai-mistral-nem-93303-v452-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v452-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v452-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452
mistralai-mistral-nem-93303-v452-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452/config.json
mistralai-mistral-nem-93303-v452-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452/special_tokens_map.json
mistralai-mistral-nem-93303-v452-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452/tokenizer_config.json
mistralai-mistral-nem-93303-v452-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452/tokenizer.json
mistralai-mistral-nem-93303-v452-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v452/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v452-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, 50.54it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 44.26it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 42.35it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 48.09it/s]
Loading 0:  10%|▉         | 36/363 [00:00<00:06, 48.14it/s]
Loading 0:  11%|█▏        | 41/363 [00:00<00:08, 39.08it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 47.28it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:07, 43.92it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 34.03it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 33.03it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:07, 38.10it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:07, 39.85it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:07, 37.78it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 44.82it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:05, 45.21it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:05, 46.05it/s]
Loading 0:  29%|██▉       | 105/363 [00:02<00:05, 45.22it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 49.81it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:06, 39.93it/s]
Loading 0:  34%|███▍      | 125/363 [00:02<00:05, 45.36it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 44.72it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 44.61it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:04, 45.76it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:07, 28.91it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 29.11it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 37.09it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:05, 39.30it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:04, 41.37it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 41.92it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 42.04it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 46.91it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 46.61it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 43.73it/s]
Loading 0:  55%|█████▌    | 201/363 [00:04<00:03, 46.57it/s]
Loading 0:  57%|█████▋    | 206/363 [00:04<00:03, 45.04it/s]
Loading 0:  58%|█████▊    | 211/363 [00:05<00:03, 45.77it/s]
Loading 0:  60%|█████▉    | 217/363 [00:05<00:03, 44.77it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:03, 35.92it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:03, 35.67it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 33.62it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 37.41it/s]
Loading 0:  66%|██████▋   | 241/363 [00:05<00:03, 36.34it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 40.48it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 39.85it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 38.51it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 41.85it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 41.83it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 41.75it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:02, 40.55it/s]
Loading 0:  79%|███████▊  | 285/363 [00:06<00:01, 39.84it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 44.60it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 44.42it/s]
Loading 0:  83%|████████▎ | 301/363 [00:07<00:01, 45.62it/s]
Loading 0:  84%|████████▍ | 306/363 [00:14<00:23,  2.47it/s]
Loading 0:  85%|████████▌ | 310/363 [00:14<00:16,  3.21it/s]
Loading 0:  87%|████████▋ | 315/363 [00:14<00:10,  4.50it/s]
Loading 0:  88%|████████▊ | 321/363 [00:14<00:06,  6.42it/s]
Loading 0:  91%|█████████ | 329/363 [00:14<00:03, 10.06it/s]
Loading 0:  92%|█████████▏| 335/363 [00:14<00:02, 12.91it/s]
Loading 0:  94%|█████████▎| 340/363 [00:14<00:01, 15.77it/s]
Loading 0:  96%|█████████▌| 347/363 [00:14<00:00, 21.26it/s]
Loading 0:  97%|█████████▋| 353/363 [00:15<00:00, 24.35it/s]
Loading 0:  99%|█████████▊| 358/363 [00:15<00:00, 26.99it/s]
                                                            

Job mistralai-mistral-nem-93303-v452-mkmlizer completed after 114.64s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v452-mkmlizer
Pipeline stage MKMLizer completed in 115.18s
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-v452
Waiting for inference service mistralai-mistral-nem-93303-v452 to be ready
Inference service mistralai-mistral-nem-93303-v452 ready after 80.29126167297363s
Pipeline stage MKMLDeployer completed in 80.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9351234436035156s
Received healthy response to inference request in 1.834099531173706s
Received healthy response to inference request in 1.75791597366333s
Received healthy response to inference request in 1.721254825592041s
Received healthy response to inference request in 1.4529669284820557s
5 requests
0 failed requests
5th percentile: 1.5066245079040528
10th percentile: 1.56028208732605
20th percentile: 1.667597246170044
30th percentile: 1.7285870552062987
40th percentile: 1.7432515144348144
50th percentile: 1.75791597366333
60th percentile: 1.7883893966674804
70th percentile: 1.8188628196716308
80th percentile: 2.054304313659668
90th percentile: 2.494713878631592
95th percentile: 2.7149186611175535
99th percentile: 2.891082487106323
mean time: 1.9402721405029297
Pipeline stage StressChecker completed in 11.21s
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 0.71s
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 0.80s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v452 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nem-93303-v452-profiler
Waiting for inference service mistralai-mistral-nem-93303-v452-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4358.38s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v452 status is now inactive due to auto deactivation removed underperforming models
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1