developer_uid: billxbf
submission_id: mistralai-mistral-nem_93303_v281
model_name: mistralai-mistral-nem_93303_v281
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-02-07T20:08:52+00:00
num_battles: 7265
num_wins: 3486
celo_rating: 1244.8
family_friendly_score: 0.5982000000000001
family_friendly_standard_error: 0.0069333507051064424
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
display_name: mistralai-mistral-nem_93303_v281
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-07
win_ratio: 0.4798348245010323
generation_params: {'temperature': 0.8, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.4, '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-v281-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v281-mkmlizer to finish
mistralai-mistral-nem-93303-v281-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v281-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v281-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v281-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v281-mkmlizer: Downloaded to shared memory in 56.252s
mistralai-mistral-nem-93303-v281-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_no8ny8q, device:0
mistralai-mistral-nem-93303-v281-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v281-mkmlizer: quantized model in 37.100s
mistralai-mistral-nem-93303-v281-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 93.352s
mistralai-mistral-nem-93303-v281-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v281-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v281-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281
mistralai-mistral-nem-93303-v281-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281/config.json
mistralai-mistral-nem-93303-v281-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281/special_tokens_map.json
mistralai-mistral-nem-93303-v281-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281/tokenizer_config.json
mistralai-mistral-nem-93303-v281-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281/tokenizer.json
mistralai-mistral-nem-93303-v281-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v281/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v281-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:09, 36.31it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 56.24it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 48.51it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 49.66it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.15it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 46.33it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 43.97it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 48.44it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:07, 43.74it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:06, 43.92it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:10, 27.92it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:08, 33.70it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:08, 35.87it/s]
Loading 0:  22%|██▏       | 81/363 [00:01<00:07, 38.42it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:06, 41.16it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 36.25it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 44.03it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:05, 43.79it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:05, 44.77it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 37.18it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:06, 38.08it/s]
Loading 0:  34%|███▍      | 125/363 [00:02<00:05, 45.05it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 45.12it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.66it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:04, 45.30it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 24.45it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:08, 24.75it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:06, 32.10it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 34.45it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 36.25it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 38.51it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 32.84it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 38.87it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 39.62it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 40.89it/s]
Loading 0:  55%|█████▍    | 199/363 [00:05<00:04, 40.24it/s]
Loading 0:  56%|█████▌    | 204/363 [00:05<00:03, 40.44it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 44.42it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 44.42it/s]
Loading 0:  61%|██████    | 221/363 [00:05<00:02, 47.89it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:05, 25.70it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:05, 26.00it/s]
Loading 0:  65%|██████▍   | 235/363 [00:06<00:04, 30.14it/s]
Loading 0:  66%|██████▌   | 239/363 [00:06<00:04, 29.45it/s]
Loading 0:  68%|██████▊   | 246/363 [00:06<00:03, 36.77it/s]
Loading 0:  69%|██████▉   | 251/363 [00:06<00:02, 37.60it/s]
Loading 0:  71%|███████   | 256/363 [00:06<00:02, 38.81it/s]
Loading 0:  72%|███████▏  | 261/363 [00:06<00:02, 41.14it/s]
Loading 0:  73%|███████▎  | 266/363 [00:07<00:02, 34.34it/s]
Loading 0:  75%|███████▌  | 273/363 [00:07<00:02, 40.25it/s]
Loading 0:  77%|███████▋  | 278/363 [00:07<00:02, 40.98it/s]
Loading 0:  78%|███████▊  | 283/363 [00:07<00:01, 40.60it/s]
Loading 0:  79%|███████▉  | 288/363 [00:07<00:01, 42.53it/s]
Loading 0:  81%|████████  | 293/363 [00:07<00:01, 35.17it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 38.35it/s]
Loading 0:  83%|████████▎ | 303/363 [00:07<00:01, 40.80it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:23,  2.39it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:16,  3.12it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:08,  5.21it/s]
Loading 0:  90%|████████▉ | 326/363 [00:15<00:05,  7.11it/s]
Loading 0:  91%|█████████ | 331/363 [00:15<00:03,  9.15it/s]
Loading 0:  93%|█████████▎| 338/363 [00:15<00:01, 13.04it/s]
Loading 0:  94%|█████████▍| 343/363 [00:15<00:01, 16.09it/s]
Loading 0:  96%|█████████▌| 348/363 [00:15<00:00, 17.96it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 25.23it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 28.21it/s]
                                                            

Job mistralai-mistral-nem-93303-v281-mkmlizer completed after 116.46s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v281-mkmlizer
Pipeline stage MKMLizer completed in 116.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v281
Waiting for inference service mistralai-mistral-nem-93303-v281 to be ready
Inference service mistralai-mistral-nem-93303-v281 ready after 190.7286491394043s
Pipeline stage MKMLDeployer completed in 191.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2384116649627686s
Received healthy response to inference request in 1.6694777011871338s
Received healthy response to inference request in 1.9370081424713135s
Received healthy response to inference request in 1.6434786319732666s
Received healthy response to inference request in 1.9402999877929688s
5 requests
0 failed requests
5th percentile: 1.64867844581604
10th percentile: 1.6538782596588135
20th percentile: 1.6642778873443604
30th percentile: 1.7229837894439697
40th percentile: 1.8299959659576417
50th percentile: 1.9370081424713135
60th percentile: 1.9383248805999755
70th percentile: 1.9396416187286376
80th percentile: 1.9999223232269288
90th percentile: 2.1191669940948485
95th percentile: 2.1787893295288083
99th percentile: 2.2264871978759766
mean time: 1.8857352256774902
Pipeline stage StressChecker completed in 10.74s
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 0.70s
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 0.74s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v281 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 2392.48s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v281 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v281 status is now torndown due to DeploymentManager action