intervitens-mini-magnum-_5180

developer_uid: Jellywibble
submission_id: intervitens-mini-magnum-_5180_v8
model_name: mehmeh
model_group: intervitens/mini-magnum-
status: torndown
timestamp: 2024-11-05T00:53:26+00:00
num_battles: 7152
num_wins: 3727
celo_rating: 1257.29
family_friendly_score: 0.5626
family_friendly_standard_error: 0.0070154292812343285
submission_type: basic
model_repo: intervitens/mini-magnum-12b-v1.1
model_architecture: MistralForCausalLM
model_num_parameters: 12772080640.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: mehmeh
is_internal_developer: True
language_model: intervitens/mini-magnum-12b-v1.1
model_size: 13B
ranking_group: single
us_pacific_date: 2024-11-04
win_ratio: 0.5211129753914989
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', '<|eot_id|>', '<|end_of_text|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{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 intervitens-mini-magnum-5180-v8-mkmlizer
Waiting for job on intervitens-mini-magnum-5180-v8-mkmlizer to finish
intervitens-mini-magnum-5180-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
intervitens-mini-magnum-5180-v8-mkmlizer: ║     _____            __           __                                ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║       /___/                                                         ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║                                                                     ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  Version: 0.11.12                                                   ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  https://mk1.ai                                                     ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║                                                                     ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  belonging to:                                                      ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║                                                                     ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  Chai Research Corp.                                                ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
intervitens-mini-magnum-5180-v8-mkmlizer: ║                                                                     ║
intervitens-mini-magnum-5180-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
intervitens-mini-magnum-5180-v8-mkmlizer: Downloaded to shared memory in 95.402s
intervitens-mini-magnum-5180-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi06n65vr, device:0
intervitens-mini-magnum-5180-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
intervitens-mini-magnum-5180-v8-mkmlizer: quantized model in 36.741s
intervitens-mini-magnum-5180-v8-mkmlizer: Processed model intervitens/mini-magnum-12b-v1.1 in 132.143s
intervitens-mini-magnum-5180-v8-mkmlizer: creating bucket guanaco-mkml-models
intervitens-mini-magnum-5180-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
intervitens-mini-magnum-5180-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8
intervitens-mini-magnum-5180-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8/config.json
intervitens-mini-magnum-5180-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8/special_tokens_map.json
intervitens-mini-magnum-5180-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8/tokenizer_config.json
intervitens-mini-magnum-5180-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8/tokenizer.json
intervitens-mini-magnum-5180-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/intervitens-mini-magnum-5180-v8/flywheel_model.0.safetensors
intervitens-mini-magnum-5180-v8-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 29.44it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 45.48it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:08, 42.00it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:08, 41.20it/s]
Loading 0:   7%|▋         | 27/363 [00:00<00:07, 43.05it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:09, 34.52it/s]
Loading 0:  11%|█         | 39/363 [00:00<00:07, 42.61it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:07, 42.55it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:07, 42.26it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:07, 43.84it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:06, 44.70it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:11, 25.73it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:08, 33.24it/s]
Loading 0:  21%|██        | 76/363 [00:02<00:08, 35.07it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:07, 37.11it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 38.99it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 32.81it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 39.05it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 39.08it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:06, 41.18it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:07, 35.27it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:07, 34.58it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 40.60it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 40.08it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 38.99it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 39.84it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:08, 25.52it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:08, 26.23it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:06, 33.65it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 34.38it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 36.59it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 39.47it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 34.48it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 42.32it/s]
Loading 0:  52%|█████▏    | 188/363 [00:05<00:04, 42.23it/s]
Loading 0:  53%|█████▎    | 193/363 [00:05<00:03, 42.80it/s]
Loading 0:  55%|█████▍    | 198/363 [00:05<00:04, 40.43it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 34.63it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 42.44it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 42.86it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 44.30it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:04, 28.93it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 31.39it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 38.78it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 39.30it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 40.72it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 39.89it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 39.67it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 44.43it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 44.25it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:01, 44.95it/s]
Loading 0:  77%|███████▋  | 279/363 [00:07<00:01, 45.24it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 38.30it/s]
Loading 0:  80%|████████  | 292/363 [00:07<00:01, 46.26it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 43.74it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:20,  2.82it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:15,  3.53it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:11,  4.42it/s]
Loading 0:  88%|████████▊ | 319/363 [00:14<00:06,  6.81it/s]
Loading 0:  89%|████████▉ | 324/363 [00:15<00:04,  8.89it/s]
Loading 0:  91%|█████████ | 329/363 [00:15<00:02, 11.50it/s]
Loading 0:  92%|█████████▏| 334/363 [00:15<00:01, 14.75it/s]
Loading 0:  93%|█████████▎| 339/363 [00:15<00:01, 16.75it/s]
Loading 0:  95%|█████████▌| 346/363 [00:15<00:00, 23.08it/s]
Loading 0:  97%|█████████▋| 351/363 [00:15<00:00, 26.41it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 29.91it/s]
Loading 0:  99%|█████████▉| 361/363 [00:15<00:00, 33.69it/s]
                                                            
Job intervitens-mini-magnum-5180-v8-mkmlizer completed after 155.7s with status: succeeded
Stopping job with name intervitens-mini-magnum-5180-v8-mkmlizer
Pipeline stage MKMLizer completed in 156.28s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service intervitens-mini-magnum-5180-v8
Waiting for inference service intervitens-mini-magnum-5180-v8 to be ready
Inference service intervitens-mini-magnum-5180-v8 ready after 160.63951587677002s
Pipeline stage MKMLDeployer completed in 161.10s
run pipeline stage %s
Running pipeline stage StressChecker
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
Received unhealthy response to inference request!
Received healthy response to inference request in 1.9464466571807861s
Received healthy response to inference request in 1.519505262374878s
Received healthy response to inference request in 1.539201021194458s
Received healthy response to inference request in 1.4614200592041016s
5 requests
1 failed requests
5th percentile: 0.38953189849853515
10th percentile: 0.6575039386749267
20th percentile: 1.1934480190277101
30th percentile: 1.473037099838257
40th percentile: 1.4962711811065674
50th percentile: 1.519505262374878
60th percentile: 1.52738356590271
70th percentile: 1.535261869430542
80th percentile: 1.6206501483917237
90th percentile: 1.783548402786255
95th percentile: 1.8649975299835204
99th percentile: 1.930156831741333
mean time: 1.3176265716552735
%s, retrying in %s seconds...
Received healthy response to inference request in 1.4933123588562012s
Received healthy response to inference request in 1.6064660549163818s
Received healthy response to inference request in 1.448230504989624s
Received healthy response to inference request in 1.3919072151184082s
Received healthy response to inference request in 1.5118701457977295s
5 requests
0 failed requests
5th percentile: 1.4031718730926515
10th percentile: 1.4144365310668945
20th percentile: 1.4369658470153808
30th percentile: 1.4572468757629395
40th percentile: 1.4752796173095704
50th percentile: 1.4933123588562012
60th percentile: 1.5007354736328125
70th percentile: 1.5081585884094237
80th percentile: 1.53078932762146
90th percentile: 1.568627691268921
95th percentile: 1.5875468730926514
99th percentile: 1.6026822185516358
mean time: 1.490357255935669
Pipeline stage StressChecker completed in 16.68s
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 2.43s
Shutdown handler de-registered
intervitens-mini-magnum-_5180_v8 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 2484.82s
Shutdown handler de-registered
intervitens-mini-magnum-_5180_v8 status is now inactive due to auto deactivation removed underperforming models
intervitens-mini-magnum-_5180_v8 status is now torndown due to DeploymentManager action