developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v258
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-08T09:22:26+00:00
num_battles: 5512
num_wins: 2497
celo_rating: 1241.56
family_friendly_score: 0.5958
family_friendly_standard_error: 0.0069400628239231375
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6399122425038036, 'latency_mean': 1.5626240015029906, 'latency_p50': 1.570073127746582, 'latency_p90': 1.7258216381072997}, {'batch_size': 3, 'throughput': 1.2675904393054678, 'latency_mean': 2.361349112987518, 'latency_p50': 2.3644458055496216, 'latency_p90': 2.5866209745407103}, {'batch_size': 5, 'throughput': 1.6072400417783148, 'latency_mean': 3.1014499747753144, 'latency_p50': 3.093730330467224, 'latency_p90': 3.445245122909546}, {'batch_size': 6, 'throughput': 1.737693582963442, 'latency_mean': 3.444124047756195, 'latency_p50': 3.42336368560791, 'latency_p90': 3.88777756690979}, {'batch_size': 8, 'throughput': 1.8778487820405207, 'latency_mean': 4.223819715976715, 'latency_p50': 4.201880216598511, 'latency_p90': 4.778476047515869}, {'batch_size': 10, 'throughput': 1.9652964439847225, 'latency_mean': 5.059564726352692, 'latency_p50': 5.0460968017578125, 'latency_p90': 5.776811265945434}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.8
us_pacific_date: 2025-01-08
win_ratio: 0.45301161103047893
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['User:', '</s>', 'You:', '<|im_end|>', '\n', 'Bot:', '<|eot_id|>', '####'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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-v258-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v258-mkmlizer to finish
mistralai-mistral-nem-93303-v258-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v258-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v258-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v258-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v258-mkmlizer: quantized model in 37.610s
mistralai-mistral-nem-93303-v258-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 97.180s
mistralai-mistral-nem-93303-v258-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v258-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v258-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258
mistralai-mistral-nem-93303-v258-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258/config.json
mistralai-mistral-nem-93303-v258-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258/special_tokens_map.json
mistralai-mistral-nem-93303-v258-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258/tokenizer_config.json
mistralai-mistral-nem-93303-v258-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258/tokenizer.json
mistralai-mistral-nem-93303-v258-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v258/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v258-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 31.58it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 51.44it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 45.38it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 43.87it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 50.39it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 45.61it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 43.37it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 47.85it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 44.43it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:06, 45.69it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 31.18it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:07, 36.80it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:07, 37.58it/s]
Loading 0:  22%|██▏       | 81/363 [00:01<00:07, 39.97it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:06, 42.32it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 36.27it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 43.98it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 43.15it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:05, 44.79it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 37.07it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:06, 35.79it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 42.13it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 40.58it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 39.56it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 40.65it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 27.00it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 26.75it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:06, 33.36it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:06, 33.32it/s]
Loading 0:  45%|████▌     | 165/363 [00:04<00:05, 36.82it/s]
Loading 0:  47%|████▋     | 170/363 [00:04<00:05, 37.74it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 38.95it/s]
Loading 0:  50%|████▉     | 180/363 [00:04<00:04, 40.77it/s]
Loading 0:  51%|█████     | 185/363 [00:04<00:05, 34.52it/s]
Loading 0:  53%|█████▎    | 192/363 [00:04<00:04, 41.58it/s]
Loading 0:  54%|█████▍    | 197/363 [00:05<00:04, 40.90it/s]
Loading 0:  56%|█████▌    | 202/363 [00:05<00:03, 41.67it/s]
Loading 0:  57%|█████▋    | 207/363 [00:05<00:03, 43.22it/s]
Loading 0:  58%|█████▊    | 212/363 [00:05<00:04, 35.76it/s]
Loading 0:  60%|██████    | 218/363 [00:05<00:03, 39.87it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 29.57it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 30.16it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 29.23it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 34.04it/s]
Loading 0:  66%|██████▋   | 241/363 [00:06<00:03, 33.92it/s]
Loading 0:  68%|██████▊   | 246/363 [00:06<00:03, 36.84it/s]
Loading 0:  69%|██████▉   | 250/363 [00:06<00:03, 35.82it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 38.30it/s]
Loading 0:  71%|███████▏  | 259/363 [00:06<00:02, 37.03it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 39.81it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 39.67it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:02, 39.10it/s]
Loading 0:  77%|███████▋  | 278/363 [00:07<00:02, 38.29it/s]
Loading 0:  78%|███████▊  | 282/363 [00:07<00:02, 37.74it/s]
Loading 0:  79%|███████▉  | 286/363 [00:07<00:02, 36.27it/s]
Loading 0:  80%|███████▉  | 290/363 [00:07<00:02, 32.76it/s]
Loading 0:  81%|████████  | 294/363 [00:07<00:02, 31.56it/s]
Loading 0:  83%|████████▎ | 300/363 [00:07<00:01, 38.41it/s]
Loading 0:  84%|████████▍ | 305/363 [00:14<00:26,  2.21it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:20,  2.74it/s]
Loading 0:  86%|████████▌ | 312/363 [00:15<00:13,  3.70it/s]
Loading 0:  88%|████████▊ | 319/363 [00:15<00:07,  6.11it/s]
Loading 0:  89%|████████▉ | 323/363 [00:15<00:05,  7.74it/s]
Loading 0:  91%|█████████ | 329/363 [00:15<00:03, 11.04it/s]
Loading 0:  92%|█████████▏| 334/363 [00:15<00:02, 14.17it/s]
Loading 0:  93%|█████████▎| 339/363 [00:15<00:01, 16.34it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:00, 20.27it/s]
Loading 0:  96%|█████████▌| 349/363 [00:16<00:00, 23.00it/s]
Loading 0:  98%|█████████▊| 355/363 [00:16<00:00, 28.72it/s]
Loading 0:  99%|█████████▉| 360/363 [00:16<00:00, 32.26it/s]
                                                            

Job mistralai-mistral-nem-93303-v258-mkmlizer completed after 124.68s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v258-mkmlizer
Pipeline stage MKMLizer completed in 125.17s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.44s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v258
Waiting for inference service mistralai-mistral-nem-93303-v258 to be ready
Inference service mistralai-mistral-nem-93303-v258 ready after 361.3210883140564s
Pipeline stage MKMLDeployer completed in 361.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0631110668182373s
Received healthy response to inference request in 0.856675386428833s
Received healthy response to inference request in 1.7168059349060059s
Received healthy response to inference request in 1.5757627487182617s
Received healthy response to inference request in 1.1503467559814453s
5 requests
0 failed requests
5th percentile: 0.9154096603393554
10th percentile: 0.9741439342498779
20th percentile: 1.0916124820709228
30th percentile: 1.2354299545288085
40th percentile: 1.4055963516235352
50th percentile: 1.5757627487182617
60th percentile: 1.6321800231933594
70th percentile: 1.688597297668457
80th percentile: 1.7860669612884523
90th percentile: 1.9245890140533448
95th percentile: 1.9938500404357908
99th percentile: 2.049258861541748
mean time: 1.4725403785705566
Pipeline stage StressChecker completed in 8.53s
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 0.65s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v258 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 2392.58s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v258 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v258 status is now torndown due to DeploymentManager action