developer_uid: zhenzhe
submission_id: mistralai-mistral-nem_93303_v448
model_name: bird_nostop
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-03-01T04:25:45+00:00
num_battles: 11536
num_wins: 5118
celo_rating: 1234.11
family_friendly_score: 0.5956
family_friendly_standard_error: 0.006940614382026997
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': 0.604721870409089, 'latency_mean': 1.6535761547088623, 'latency_p50': 1.6344237327575684, 'latency_p90': 1.8338534832000732}, {'batch_size': 3, 'throughput': 1.1076373545626408, 'latency_mean': 2.6999424171447752, 'latency_p50': 2.70508873462677, 'latency_p90': 3.0046109914779664}, {'batch_size': 5, 'throughput': 1.346205542692006, 'latency_mean': 3.7030464565753936, 'latency_p50': 3.7061513662338257, 'latency_p90': 4.126383328437805}, {'batch_size': 6, 'throughput': 1.410667906305224, 'latency_mean': 4.215393723249435, 'latency_p50': 4.2341378927230835, 'latency_p90': 4.685992860794068}, {'batch_size': 8, 'throughput': 1.4770044703807914, 'latency_mean': 5.3846205604076385, 'latency_p50': 5.4713521003723145, 'latency_p90': 5.942816209793091}, {'batch_size': 10, 'throughput': 1.4994150381514841, 'latency_mean': 6.617257205247879, 'latency_p50': 6.601664662361145, 'latency_p90': 7.448127794265747}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bird_nostop
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-02-28
win_ratio: 0.44365464632454926
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, '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-v448-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v448-mkmlizer to finish
mistralai-mistral-nem-93303-v448-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v448-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v448-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v448-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v448-mkmlizer: Downloaded to shared memory in 49.139s
mistralai-mistral-nem-93303-v448-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4n3mu5co, device:0
mistralai-mistral-nem-93303-v448-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
mistralai-mistral-nem-93303-v448-mkmlizer: quantized model in 35.741s
mistralai-mistral-nem-93303-v448-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 84.880s
mistralai-mistral-nem-93303-v448-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v448-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v448-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v448
mistralai-mistral-nem-93303-v448-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v448/config.json
mistralai-mistral-nem-93303-v448-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v448/special_tokens_map.json
mistralai-mistral-nem-93303-v448-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v448/tokenizer_config.json
mistralai-mistral-nem-93303-v448-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v448/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v448-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.89it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 52.45it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 48.02it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 49.71it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 52.31it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 50.05it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 50.91it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:05, 52.74it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 50.41it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:07, 37.81it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 37.97it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:06, 42.46it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 42.51it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 42.60it/s]
Loading 0:  25%|██▍       | 90/363 [00:01<00:05, 47.86it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 46.22it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 45.05it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:04, 53.28it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 48.85it/s]
Loading 0:  33%|███▎      | 121/363 [00:02<00:05, 47.65it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 47.26it/s]
Loading 0:  36%|███▋      | 132/363 [00:02<00:05, 45.77it/s]
Loading 0:  38%|███▊      | 137/363 [00:02<00:05, 44.32it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 33.39it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 34.20it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 34.05it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 39.66it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 41.34it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 43.18it/s]
Loading 0:  47%|████▋     | 172/363 [00:03<00:04, 43.29it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 42.82it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:03, 45.29it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:03, 45.70it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 46.24it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:03, 45.37it/s]
Loading 0:  56%|█████▌    | 204/363 [00:04<00:03, 44.08it/s]
Loading 0:  58%|█████▊    | 210/363 [00:04<00:03, 48.16it/s]
Loading 0:  59%|█████▉    | 215/363 [00:04<00:03, 46.29it/s]
Loading 0:  61%|██████    | 222/363 [00:04<00:03, 46.04it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 32.17it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 32.22it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 38.08it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:03, 39.54it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 40.91it/s]
Loading 0:  70%|██████▉   | 253/363 [00:05<00:02, 41.70it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 38.67it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 42.58it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 39.81it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 41.66it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:01, 41.94it/s]
Loading 0:  79%|███████▊  | 285/363 [00:06<00:01, 41.32it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 46.04it/s]
Loading 0:  82%|████████▏ | 298/363 [00:06<00:01, 44.22it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:21,  2.77it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:15,  3.49it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:11,  4.47it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:05,  7.27it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.77it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.34it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 17.21it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.97it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 24.34it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 31.04it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 34.24it/s]
                                                            

Job mistralai-mistral-nem-93303-v448-mkmlizer completed after 103.73s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v448-mkmlizer
Pipeline stage MKMLizer completed in 104.24s
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-v448
Waiting for inference service mistralai-mistral-nem-93303-v448 to be ready
Inference service mistralai-mistral-nem-93303-v448 ready after 150.57859754562378s
Pipeline stage MKMLDeployer completed in 151.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.151156425476074s
Received healthy response to inference request in 1.5555346012115479s
Received healthy response to inference request in 1.5843534469604492s
Received healthy response to inference request in 1.4464211463928223s
Received healthy response to inference request in 1.6483674049377441s
5 requests
0 failed requests
5th percentile: 1.4682438373565674
10th percentile: 1.4900665283203125
20th percentile: 1.5337119102478027
30th percentile: 1.5612983703613281
40th percentile: 1.5728259086608887
50th percentile: 1.5843534469604492
60th percentile: 1.609959030151367
70th percentile: 1.6355646133422852
80th percentile: 1.7489252090454102
90th percentile: 1.9500408172607422
95th percentile: 2.050598621368408
99th percentile: 2.131044864654541
mean time: 1.6771666049957275
Pipeline stage StressChecker completed in 9.54s
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 0.65s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v448 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3483.92s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v448 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v448 status is now torndown due to DeploymentManager action