mistralai-mistral-nem_93303

developer_uid: RandomForest1024
submission_id: mistralai-mistral-nem_93303_v285
model_name: mistralai-mistral-nem_93303_v285
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-02-08T21:25:06+00:00
num_battles: 18406
num_wins: 7992
celo_rating: 1231.59
family_friendly_score: 0.599
family_friendly_standard_error: 0.006931074952703946
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_v285
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-08
win_ratio: 0.43420623709659895
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-v285-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v285-mkmlizer to finish
mistralai-mistral-nem-93303-v285-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v285-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v285-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v285-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v285-mkmlizer: Downloaded to shared memory in 70.690s
mistralai-mistral-nem-93303-v285-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphwyckpw8, device:0
mistralai-mistral-nem-93303-v285-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v285-mkmlizer: quantized model in 36.223s
mistralai-mistral-nem-93303-v285-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 106.914s
mistralai-mistral-nem-93303-v285-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v285-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v285-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285
mistralai-mistral-nem-93303-v285-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285/config.json
mistralai-mistral-nem-93303-v285-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285/special_tokens_map.json
mistralai-mistral-nem-93303-v285-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285/tokenizer_config.json
mistralai-mistral-nem-93303-v285-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285/tokenizer.json
mistralai-mistral-nem-93303-v285-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v285/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v285-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:10, 34.21it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 55.52it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:06, 49.30it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 50.71it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 52.71it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 48.35it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:06, 46.74it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:06, 52.00it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 48.35it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 33.02it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 34.08it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 38.13it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:07, 38.66it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:07, 39.75it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:06, 44.86it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:06, 42.90it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 43.31it/s]
Loading 0:  29%|██▉       | 107/363 [00:02<00:05, 47.30it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 47.88it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 46.10it/s]
Loading 0:  34%|███▍      | 123/363 [00:02<00:05, 44.13it/s]
Loading 0:  35%|███▌      | 128/363 [00:02<00:05, 43.53it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 45.74it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:04, 45.69it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:07, 27.73it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 29.96it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 37.05it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:05, 38.93it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 40.47it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 42.09it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 35.84it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 43.24it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 43.58it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 40.39it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:04, 39.76it/s]
Loading 0:  56%|█████▌    | 204/363 [00:04<00:03, 40.62it/s]
Loading 0:  58%|█████▊    | 211/363 [00:05<00:03, 45.12it/s]
Loading 0:  60%|█████▉    | 217/363 [00:05<00:03, 42.84it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 30.50it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 32.12it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 31.62it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 37.17it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:03, 39.37it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 41.26it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 40.05it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 40.42it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 45.77it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 43.65it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 42.05it/s]
Loading 0:  78%|███████▊  | 282/363 [00:06<00:01, 46.37it/s]
Loading 0:  79%|███████▉  | 287/363 [00:06<00:01, 46.48it/s]
Loading 0:  80%|████████  | 292/363 [00:07<00:01, 46.49it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 43.79it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:21,  2.73it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:15,  3.47it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:11,  4.45it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:05,  7.28it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.74it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.33it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 17.17it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.84it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 24.24it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 30.95it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 33.48it/s]
                                                            
Job mistralai-mistral-nem-93303-v285-mkmlizer completed after 134.45s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v285-mkmlizer
Pipeline stage MKMLizer completed in 134.91s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v285
Waiting for inference service mistralai-mistral-nem-93303-v285 to be ready
Inference service mistralai-mistral-nem-93303-v285 ready after 190.62938928604126s
Pipeline stage MKMLDeployer completed in 191.22s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1195244789123535s
Received healthy response to inference request in 2.274338483810425s
Received healthy response to inference request in 1.7176389694213867s
Received healthy response to inference request in 1.5633273124694824s
Received healthy response to inference request in 1.4816794395446777s
5 requests
0 failed requests
5th percentile: 1.4980090141296387
10th percentile: 1.5143385887145997
20th percentile: 1.5469977378845214
30th percentile: 1.5941896438598633
40th percentile: 1.655914306640625
50th percentile: 1.7176389694213867
60th percentile: 1.8783931732177734
70th percentile: 2.03914737701416
80th percentile: 2.150487279891968
90th percentile: 2.212412881851196
95th percentile: 2.2433756828308105
99th percentile: 2.268145923614502
mean time: 1.831301736831665
Pipeline stage StressChecker completed in 10.50s
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 0.68s
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 0.65s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v285 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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nem-93303-v285-profiler
Waiting for inference service mistralai-mistral-nem-93303-v285-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 1979.22s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v285 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v285 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v285 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v285 status is now torndown due to DeploymentManager action