submission_id: chaiml-nemo-20241010-t_5991_v133
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1256.62
display_name: chaiml-nemo-20241010-t_5991_v133
family_friendly_score: 0.5702638329058263
family_friendly_standard_error: 0.006677014196477237
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}
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|>', 'You:'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: True
language_model: ChaiML/nemo-20241010_tier_merge_v4-albert
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/nemo-20241010_tie
model_name: chaiml-nemo-20241010-t_5991_v133
model_num_parameters: 12772070400.0
model_repo: ChaiML/nemo-20241010_tier_merge_v4-albert
model_size: 13B
num_battles: 5723
num_wins: 3170
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-15T02:00:30+00:00
us_pacific_date: 2024-10-14
win_ratio: 0.5539052944260003
Download Preference Data
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 chaiml-nemo-20241010-t-5991-v133-mkmlizer
Waiting for job on chaiml-nemo-20241010-t-5991-v133-mkmlizer to finish
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ _____ __ __ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ /___/ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ Version: 0.11.12 ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ https://mk1.ai ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ belonging to: ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ Chai Research Corp. ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ║ ║
chaiml-nemo-20241010-t-5991-v133-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-nemo-20241010-t-5991-v133-mkmlizer: Downloaded to shared memory in 35.450s
chaiml-nemo-20241010-t-5991-v133-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbsp41ad6, device:0
chaiml-nemo-20241010-t-5991-v133-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-nemo-20241010-t-5991-v133-mkmlizer: quantized model in 35.894s
chaiml-nemo-20241010-t-5991-v133-mkmlizer: Processed model ChaiML/nemo-20241010_tier_merge_v4-albert in 71.344s
chaiml-nemo-20241010-t-5991-v133-mkmlizer: creating bucket guanaco-mkml-models
chaiml-nemo-20241010-t-5991-v133-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-nemo-20241010-t-5991-v133-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133
chaiml-nemo-20241010-t-5991-v133-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133/config.json
chaiml-nemo-20241010-t-5991-v133-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133/special_tokens_map.json
chaiml-nemo-20241010-t-5991-v133-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133/tokenizer_config.json
chaiml-nemo-20241010-t-5991-v133-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133/tokenizer.json
chaiml-nemo-20241010-t-5991-v133-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-nemo-20241010-t-5991-v133/flywheel_model.0.safetensors
chaiml-nemo-20241010-t-5991-v133-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:05<18:00, 2.99s/it] Loading 0: 2%|▏ | 6/363 [00:06<04:48, 1.24it/s] Loading 0: 3%|▎ | 11/363 [00:06<02:06, 2.78it/s] Loading 0: 4%|▍ | 15/363 [00:06<01:20, 4.35it/s] Loading 0: 6%|▋ | 23/363 [00:06<00:39, 8.60it/s] Loading 0: 8%|▊ | 29/363 [00:06<00:27, 11.96it/s] Loading 0: 9%|▉ | 34/363 [00:06<00:21, 15.19it/s] Loading 0: 11%|█ | 40/363 [00:07<00:19, 16.38it/s] Loading 0: 12%|█▏ | 44/363 [00:07<00:16, 18.99it/s] Loading 0: 14%|█▍ | 50/363 [00:07<00:12, 24.24it/s] Loading 0: 15%|█▌ | 55/363 [00:07<00:10, 28.23it/s] Loading 0: 17%|█▋ | 60/363 [00:07<00:11, 27.29it/s] Loading 0: 18%|█▊ | 67/363 [00:07<00:08, 34.95it/s] Loading 0: 20%|█▉ | 72/363 [00:07<00:07, 36.98it/s] Loading 0: 21%|██ | 77/363 [00:07<00:07, 38.49it/s] Loading 0: 23%|██▎ | 83/363 [00:08<00:07, 37.43it/s] Loading 0: 24%|██▍ | 88/363 [00:08<00:07, 37.41it/s] Loading 0: 26%|██▌ | 94/363 [00:08<00:06, 41.48it/s] Loading 0: 27%|██▋ | 99/363 [00:08<00:06, 42.10it/s] Loading 0: 29%|██▊ | 104/363 [00:08<00:05, 43.53it/s] Loading 0: 30%|███ | 110/363 [00:08<00:06, 41.71it/s] Loading 0: 32%|███▏ | 115/363 [00:08<00:06, 40.61it/s] Loading 0: 33%|███▎ | 121/363 [00:09<00:07, 31.21it/s] Loading 0: 34%|███▍ | 125/363 [00:09<00:07, 32.07it/s] Loading 0: 36%|███▌ | 131/363 [00:09<00:06, 37.12it/s] Loading 0: 38%|███▊ | 137/363 [00:09<00:05, 37.88it/s] Loading 0: 39%|███▉ | 142/363 [00:09<00:05, 37.24it/s] Loading 0: 41%|████ | 148/363 [00:09<00:05, 42.43it/s] Loading 0: 42%|████▏ | 153/363 [00:09<00:04, 42.41it/s] Loading 0: 44%|████▎ | 158/363 [00:10<00:04, 42.89it/s] Loading 0: 45%|████▍ | 163/363 [00:10<00:04, 44.69it/s] Loading 0: 46%|████▋ | 168/363 [00:10<00:05, 37.84it/s] Loading 0: 48%|████▊ | 175/363 [00:10<00:04, 45.42it/s] Loading 0: 50%|████▉ | 180/363 [00:10<00:04, 45.41it/s] Loading 0: 51%|█████ | 185/363 [00:10<00:03, 45.61it/s] Loading 0: 53%|█████▎ | 191/363 [00:10<00:03, 43.14it/s] Loading 0: 54%|█████▍ | 196/363 [00:10<00:03, 42.66it/s] Loading 0: 56%|█████▌ | 202/363 [00:11<00:05, 31.82it/s] Loading 0: 57%|█████▋ | 206/363 [00:11<00:04, 32.21it/s] Loading 0: 58%|█████▊ | 211/363 [00:11<00:04, 35.86it/s] Loading 0: 59%|█████▉ | 215/363 [00:11<00:04, 36.18it/s] Loading 0: 61%|██████ | 221/363 [00:11<00:03, 40.00it/s] Loading 0: 62%|██████▏ | 226/363 [00:11<00:03, 42.48it/s] Loading 0: 64%|██████▎ | 231/363 [00:11<00:03, 36.48it/s] Loading 0: 66%|██████▌ | 238/363 [00:12<00:02, 43.58it/s] Loading 0: 67%|██████▋ | 243/363 [00:12<00:02, 43.62it/s] Loading 0: 68%|██████▊ | 248/363 [00:12<00:02, 43.95it/s] Loading 0: 70%|██████▉ | 253/363 [00:12<00:02, 44.36it/s] Loading 0: 71%|███████ | 258/363 [00:12<00:02, 36.38it/s] Loading 0: 73%|███████▎ | 265/363 [00:12<00:02, 42.70it/s] Loading 0: 74%|███████▍ | 270/363 [00:12<00:02, 42.74it/s] Loading 0: 76%|███████▌ | 275/363 [00:12<00:02, 43.20it/s] Loading 0: 77%|███████▋ | 280/363 [00:13<00:01, 44.65it/s] Loading 0: 79%|███████▊ | 285/363 [00:13<00:02, 26.15it/s] Loading 0: 80%|████████ | 292/363 [00:13<00:02, 33.90it/s] Loading 0: 82%|████████▏ | 297/363 [00:13<00:01, 36.24it/s] Loading 0: 83%|████████▎ | 302/363 [00:13<00:01, 37.95it/s] Loading 0: 85%|████████▍ | 307/363 [00:13<00:01, 40.22it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:01, 35.32it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:00, 44.02it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:00, 42.36it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:00, 42.16it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:00, 47.25it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:00, 44.89it/s] Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 43.73it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 48.23it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 45.57it/s]
Job chaiml-nemo-20241010-t-5991-v133-mkmlizer completed after 93.75s with status: succeeded
Stopping job with name chaiml-nemo-20241010-t-5991-v133-mkmlizer
Pipeline stage MKMLizer completed in 94.26s
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 chaiml-nemo-20241010-t-5991-v133
Waiting for inference service chaiml-nemo-20241010-t-5991-v133 to be ready
Inference service chaiml-nemo-20241010-t-5991-v133 ready after 150.61963367462158s
Pipeline stage MKMLDeployer completed in 151.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8440892696380615s
Received healthy response to inference request in 1.6407890319824219s
Received healthy response to inference request in 1.5564897060394287s
Received healthy response to inference request in 1.5172553062438965s
Received healthy response to inference request in 1.5643796920776367s
5 requests
0 failed requests
5th percentile: 1.525102186203003
10th percentile: 1.5329490661621095
20th percentile: 1.5486428260803222
30th percentile: 1.5580677032470702
40th percentile: 1.5612236976623535
50th percentile: 1.5643796920776367
60th percentile: 1.5949434280395507
70th percentile: 1.6255071640014649
80th percentile: 1.68144907951355
90th percentile: 1.7627691745758056
95th percentile: 1.8034292221069335
99th percentile: 1.835957260131836
mean time: 1.624600601196289
Pipeline stage StressChecker completed in 9.81s
Shutdown handler de-registered
chaiml-nemo-20241010-t_5991_v133 status is now deployed due to DeploymentManager action
chaiml-nemo-20241010-t_5991_v133 status is now inactive due to auto deactivation removed underperforming models