Running pipeline stage MKMLizer
Starting job with name nitral-ai-nyanade-maid-7b-v1-mkmlizer
Waiting for job on nitral-ai-nyanade-maid-7b-v1-mkmlizer to finish
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║     _____            __           __                                ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║       /___/                                                         ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║                                                                     ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║                                                                     ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  belonging to:                                                      ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║                                                                     ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  Chai Research Corp.                                                ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ║                                                                     ║
nitral-ai-nyanade-maid-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.0MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
README.md:   0%|          | 0.00/138 [00:00<?, ?B/s]
README.md: 100%|██████████| 138/138 [00:00<00:00, 1.54MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
config.json:   0%|          | 0.00/646 [00:00<?, ?B/s]
config.json: 100%|██████████| 646/646 [00:00<00:00, 9.51MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
mergekit_config.yml:   0%|          | 0.00/388 [00:00<?, ?B/s]
mergekit_config.yml: 100%|██████████| 388/388 [00:00<00:00, 5.10MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00002-of-00008.safetensors:   0%|          | 0.00/1.98G [00:00<?, ?B/s]
model-00002-of-00008.safetensors:   1%|          | 10.5M/1.98G [00:00<02:19, 14.1MB/s]
model-00002-of-00008.safetensors:   1%|          | 21.0M/1.98G [00:02<04:07, 7.91MB/s]
model-00002-of-00008.safetensors:   5%|▍         | 94.4M/1.98G [00:02<00:37, 50.5MB/s]
model-00002-of-00008.safetensors:   7%|▋         | 136M/1.98G [00:02<00:23, 77.3MB/s] 
model-00002-of-00008.safetensors:  12%|█▏        | 241M/1.98G [00:02<00:10, 171MB/s] 
model-00002-of-00008.safetensors:  21%|██        | 409M/1.98G [00:02<00:04, 353MB/s]
model-00002-of-00008.safetensors:  28%|██▊       | 556M/1.98G [00:03<00:02, 513MB/s]
model-00002-of-00008.safetensors:  39%|███▉      | 776M/1.98G [00:03<00:01, 802MB/s]
model-00002-of-00008.safetensors:  53%|█████▎    | 1.05G/1.98G [00:03<00:01, 838MB/s]
model-00002-of-00008.safetensors:  59%|█████▉    | 1.17G/1.98G [00:05<00:03, 239MB/s]
model-00002-of-00008.safetensors:  64%|██████▍   | 1.27G/1.98G [00:05<00:02, 263MB/s]
model-00002-of-00008.safetensors:  69%|██████▉   | 1.37G/1.98G [00:05<00:01, 317MB/s]
model-00002-of-00008.safetensors:  78%|███████▊  | 1.55G/1.98G [00:05<00:00, 455MB/s]
model-00002-of-00008.safetensors:  87%|████████▋ | 1.72G/1.98G [00:05<00:00, 600MB/s]
model-00002-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:14<00:00, 66.6MB/s]
model-00002-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:14<00:00, 137MB/s] 
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00003-of-00008.safetensors:   0%|          | 0.00/1.95G [00:00<?, ?B/s]
model-00003-of-00008.safetensors:   1%|          | 10.5M/1.95G [00:02<06:13, 5.18MB/s]
model-00003-of-00008.safetensors:   1%|          | 21.0M/1.95G [00:02<03:32, 9.07MB/s]
model-00003-of-00008.safetensors:   2%|▏         | 41.9M/1.95G [00:02<01:24, 22.5MB/s]
model-00003-of-00008.safetensors:   3%|▎         | 62.9M/1.95G [00:02<00:48, 38.7MB/s]
model-00003-of-00008.safetensors:   5%|▌         | 105M/1.95G [00:02<00:23, 80.1MB/s] 
model-00003-of-00008.safetensors:   9%|▉         | 178M/1.95G [00:03<00:10, 168MB/s] 
model-00003-of-00008.safetensors:  16%|█▌        | 304M/1.95G [00:03<00:04, 342MB/s]
model-00003-of-00008.safetensors:  20%|█▉        | 388M/1.95G [00:03<00:03, 402MB/s]
model-00003-of-00008.safetensors:  30%|███       | 587M/1.95G [00:03<00:01, 714MB/s]
model-00003-of-00008.safetensors:  54%|█████▍    | 1.05G/1.95G [00:03<00:00, 1.40GB/s]
model-00003-of-00008.safetensors:  63%|██████▎   | 1.22G/1.95G [00:04<00:01, 411MB/s] 
model-00003-of-00008.safetensors:  69%|██████▉   | 1.35G/1.95G [00:05<00:01, 410MB/s]
model-00003-of-00008.safetensors:  75%|███████▍  | 1.45G/1.95G [00:05<00:01, 405MB/s]
model-00003-of-00008.safetensors:  80%|████████  | 1.56G/1.95G [00:05<00:00, 468MB/s]
model-00003-of-00008.safetensors:  87%|████████▋ | 1.68G/1.95G [00:05<00:00, 565MB/s]
model-00003-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 342MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00004-of-00008.safetensors:   0%|          | 0.00/1.98G [00:00<?, ?B/s]
model-00004-of-00008.safetensors:   1%|          | 10.5M/1.98G [00:01<03:36, 9.08MB/s]
model-00004-of-00008.safetensors:   1%|          | 21.0M/1.98G [00:02<04:09, 7.84MB/s]
model-00004-of-00008.safetensors:   2%|▏         | 31.5M/1.98G [00:02<02:23, 13.5MB/s]
model-00004-of-00008.safetensors:   4%|▎         | 73.4M/1.98G [00:02<00:43, 43.5MB/s]
model-00004-of-00008.safetensors:   7%|▋         | 136M/1.98G [00:03<00:19, 95.4MB/s] 
model-00004-of-00008.safetensors:  14%|█▍        | 283M/1.98G [00:03<00:06, 253MB/s] 
model-00004-of-00008.safetensors:  20%|██        | 398M/1.98G [00:03<00:04, 372MB/s]
model-00004-of-00008.safetensors:  27%|██▋       | 535M/1.98G [00:03<00:02, 535MB/s]
model-00004-of-00008.safetensors:  53%|█████▎    | 1.06G/1.98G [00:03<00:01, 717MB/s]
model-00004-of-00008.safetensors:  58%|█████▊    | 1.15G/1.98G [00:05<00:03, 248MB/s]
model-00004-of-00008.safetensors:  62%|██████▏   | 1.23G/1.98G [00:05<00:02, 258MB/s]
model-00004-of-00008.safetensors:  65%|██████▌   | 1.29G/1.98G [00:06<00:02, 265MB/s]
model-00004-of-00008.safetensors:  70%|██████▉   | 1.38G/1.98G [00:06<00:01, 316MB/s]
model-00004-of-00008.safetensors:  80%|████████  | 1.59G/1.98G [00:06<00:00, 498MB/s]
model-00004-of-00008.safetensors:  86%|████████▌ | 1.70G/1.98G [00:06<00:00, 565MB/s]
model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:06<00:00, 302MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00005-of-00008.safetensors:   0%|          | 0.00/1.83G [00:00<?, ?B/s]
model-00005-of-00008.safetensors:   1%|          | 10.5M/1.83G [00:02<06:42, 4.52MB/s]
model-00005-of-00008.safetensors:   2%|▏         | 41.9M/1.83G [00:02<01:20, 22.1MB/s]
model-00005-of-00008.safetensors:  11%|█▏        | 210M/1.83G [00:02<00:11, 146MB/s]  
model-00005-of-00008.safetensors:  17%|█▋        | 304M/1.83G [00:02<00:07, 215MB/s]
model-00005-of-00008.safetensors:  21%|██        | 388M/1.83G [00:02<00:05, 285MB/s]
model-00005-of-00008.safetensors:  57%|█████▋    | 1.05G/1.83G [00:02<00:00, 1.18GB/s]
model-00005-of-00008.safetensors:  72%|███████▏  | 1.33G/1.83G [00:04<00:00, 510MB/s] 
model-00005-of-00008.safetensors:  83%|████████▎ | 1.52G/1.83G [00:04<00:00, 525MB/s]
model-00005-of-00008.safetensors:  92%|█████████▏| 1.68G/1.83G [00:04<00:00, 614MB/s]
model-00005-of-00008.safetensors: 100%|█████████▉| 1.83G/1.83G [00:04<00:00, 397MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00006-of-00008.safetensors:   0%|          | 0.00/1.95G [00:00<?, ?B/s]
model-00006-of-00008.safetensors:   1%|          | 10.5M/1.95G [00:02<06:20, 5.10MB/s]
model-00006-of-00008.safetensors:   1%|          | 21.0M/1.95G [00:02<03:35, 8.97MB/s]
model-00006-of-00008.safetensors:   3%|▎         | 62.9M/1.95G [00:02<00:52, 35.8MB/s]
model-00006-of-00008.safetensors:   9%|▊         | 168M/1.95G [00:02<00:14, 120MB/s]  
model-00006-of-00008.safetensors:  16%|█▌        | 315M/1.95G [00:02<00:06, 261MB/s]
model-00006-of-00008.safetensors:  20%|██        | 398M/1.95G [00:03<00:04, 333MB/s]
model-00006-of-00008.safetensors:  27%|██▋       | 535M/1.95G [00:03<00:02, 483MB/s]
model-00006-of-00008.safetensors:  55%|█████▍    | 1.07G/1.95G [00:03<00:00, 1.02GB/s]
model-00006-of-00008.safetensors:  61%|██████▏   | 1.20G/1.95G [00:03<00:01, 670MB/s] 
model-00006-of-00008.safetensors:  66%|██████▌   | 1.29G/1.95G [00:04<00:01, 534MB/s]
model-00006-of-00008.safetensors:  70%|██████▉   | 1.36G/1.95G [00:04<00:01, 450MB/s]
model-00006-of-00008.safetensors:  76%|███████▋  | 1.49G/1.95G [00:04<00:00, 548MB/s]
model-00006-of-00008.safetensors:  81%|████████  | 1.57G/1.95G [00:04<00:00, 531MB/s]
model-00006-of-00008.safetensors:  88%|████████▊ | 1.72G/1.95G [00:04<00:00, 674MB/s]
model-00006-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 908MB/s]
model-00006-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 379MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00007-of-00008.safetensors:   0%|          | 0.00/1.98G [00:00<?, ?B/s]
model-00007-of-00008.safetensors:   1%|          | 10.5M/1.98G [00:02<09:22, 3.50MB/s]
model-00007-of-00008.safetensors:   2%|▏         | 41.9M/1.98G [00:03<01:51, 17.4MB/s]
model-00007-of-00008.safetensors:   3%|▎         | 62.9M/1.98G [00:03<01:10, 27.4MB/s]
model-00007-of-00008.safetensors:   6%|▌         | 115M/1.98G [00:03<00:29, 64.2MB/s] 
model-00007-of-00008.safetensors:  19%|█▉        | 377M/1.98G [00:03<00:05, 310MB/s] 
model-00007-of-00008.safetensors:  25%|██▍       | 493M/1.98G [00:03<00:03, 391MB/s]
model-00007-of-00008.safetensors:  39%|███▉      | 776M/1.98G [00:03<00:01, 729MB/s]
model-00007-of-00008.safetensors:  53%|█████▎    | 1.06G/1.98G [00:04<00:01, 501MB/s]
model-00007-of-00008.safetensors:  60%|█████▉    | 1.18G/1.98G [00:05<00:02, 278MB/s]
model-00007-of-00008.safetensors:  65%|██████▍   | 1.28G/1.98G [00:05<00:02, 296MB/s]
model-00007-of-00008.safetensors:  69%|██████▉   | 1.37G/1.98G [00:06<00:01, 346MB/s]
model-00007-of-00008.safetensors:  74%|███████▍  | 1.47G/1.98G [00:06<00:01, 400MB/s]
model-00007-of-00008.safetensors:  78%|███████▊  | 1.55G/1.98G [00:06<00:01, 426MB/s]
model-00007-of-00008.safetensors:  86%|████████▌ | 1.70G/1.98G [00:06<00:00, 569MB/s]
model-00007-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:06<00:00, 301MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model-00008-of-00008.safetensors:   0%|          | 0.00/839M [00:00<?, ?B/s]
model-00008-of-00008.safetensors:   0%|          | 35.2k/839M [00:00<2:18:52, 101kB/s]
model-00008-of-00008.safetensors:   1%|▏         | 10.5M/839M [00:01<01:53, 7.28MB/s] 
model-00008-of-00008.safetensors:   4%|▍         | 31.5M/839M [00:01<00:33, 23.8MB/s]
model-00008-of-00008.safetensors:   5%|▌         | 42.0M/839M [00:01<00:24, 32.5MB/s]
model-00008-of-00008.safetensors:   8%|▊         | 62.9M/839M [00:01<00:13, 55.8MB/s]
model-00008-of-00008.safetensors:  14%|█▍        | 115M/839M [00:02<00:05, 130MB/s]  
model-00008-of-00008.safetensors:  26%|██▋       | 220M/839M [00:02<00:02, 274MB/s]
model-00008-of-00008.safetensors:  33%|███▎      | 273M/839M [00:02<00:01, 293MB/s]
model-00008-of-00008.safetensors:  56%|█████▋    | 472M/839M [00:02<00:00, 633MB/s]
model-00008-of-00008.safetensors: 100%|█████████▉| 839M/839M [00:02<00:00, 334MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
model.safetensors.index.json:   0%|          | 0.00/22.8k [00:00<?, ?B/s]
model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 50.9MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/414 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 4.36MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 18.9MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 7.34MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/967 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 7.97MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Downloaded to shared memory in 54.726s
nitral-ai-nyanade-maid-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Reading /tmp/tmpqllj6ru7/model.safetensors.index.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
Profiling:   0%|          | 0/291 [00:00<?, ?it/s]
Profiling:   0%|          | 1/291 [00:00<00:31,  9.30it/s]
Profiling:   5%|▍         | 14/291 [00:00<00:03, 70.93it/s]
Profiling:  11%|█         | 31/291 [00:00<00:02, 110.15it/s]
Profiling:  15%|█▍        | 43/291 [00:00<00:03, 81.97it/s] 
Profiling:  19%|█▉        | 56/291 [00:00<00:02, 92.75it/s]
Profiling:  25%|██▌       | 73/291 [00:00<00:01, 112.09it/s]
Profiling:  30%|██▉       | 86/291 [00:00<00:02, 96.14it/s] 
Profiling:  34%|███▍      | 100/291 [00:01<00:01, 104.48it/s]
Profiling:  41%|████      | 119/291 [00:01<00:01, 126.23it/s]
Profiling:  46%|████▌     | 133/291 [00:01<00:01, 99.06it/s] 
Profiling:  50%|█████     | 146/291 [00:01<00:01, 104.35it/s]
Profiling:  55%|█████▍    | 160/291 [00:01<00:01, 99.45it/s] 
Profiling:  59%|█████▉    | 172/291 [00:01<00:01, 101.51it/s]
Profiling:  65%|██████▍   | 189/291 [00:01<00:00, 117.19it/s]
Profiling:  69%|██████▉   | 202/291 [00:04<00:05, 16.75it/s] 
Profiling:  74%|███████▍  | 215/291 [00:04<00:03, 22.16it/s]
Profiling:  80%|███████▉  | 232/291 [00:04<00:01, 29.66it/s]
Profiling:  85%|████████▍ | 246/291 [00:04<00:01, 38.01it/s]
Profiling:  90%|████████▉ | 261/291 [00:04<00:00, 49.18it/s]
Profiling:  94%|█████████▍| 273/291 [00:05<00:00, 52.36it/s]
Profiling: 100%|██████████| 291/291 [00:05<00:00, 56.01it/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: quantized model in 15.695s
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Processed model Nitral-AI/Nyanade-Maid-7B in 71.415s
nitral-ai-nyanade-maid-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-nyanade-maid-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/special_tokens_map.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/tokenizer_config.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/tokenizer.model
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/config.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/tokenizer.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-nyanade-maid-7b-v1/mkml_model.tensors
nitral-ai-nyanade-maid-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-nyanade-maid-7b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-nyanade-maid-7b-v1-mkmlizer:   warnings.warn(
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.4MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-nyanade-maid-7b-v1-mkmlizer:   warnings.warn(
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.99MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 10.2MB/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 10.2MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 33.3MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-nyanade-maid-7b-v1-mkmlizer:   warnings.warn(
nitral-ai-nyanade-maid-7b-v1-mkmlizer: 
pytorch_model.bin:   0%|          | 0.00/1.44G [00:00<?, ?B/s]
pytorch_model.bin:   1%|          | 10.5M/1.44G [00:00<01:09, 20.6MB/s]
pytorch_model.bin:   2%|▏         | 31.5M/1.44G [00:00<00:24, 57.4MB/s]
pytorch_model.bin:  10%|█         | 147M/1.44G [00:00<00:04, 301MB/s]  
pytorch_model.bin:  18%|█▊        | 262M/1.44G [00:00<00:02, 473MB/s]
pytorch_model.bin:  23%|██▎       | 336M/1.44G [00:01<00:03, 361MB/s]
pytorch_model.bin:  28%|██▊       | 398M/1.44G [00:01<00:03, 322MB/s]
pytorch_model.bin:  31%|███       | 451M/1.44G [00:02<00:08, 120MB/s]
pytorch_model.bin:  41%|████▏     | 598M/1.44G [00:02<00:03, 218MB/s]
pytorch_model.bin:  46%|████▌     | 661M/1.44G [00:03<00:03, 233MB/s]
pytorch_model.bin:  70%|██████▉   | 1.01G/1.44G [00:03<00:00, 592MB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 451MB/s]
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Saving duration: 0.249s
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.561s
nitral-ai-nyanade-maid-7b-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-nyanade-maid-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-nyanade-maid-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/special_tokens_map.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/merges.txt
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/tokenizer_config.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/config.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/vocab.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/tokenizer.json
nitral-ai-nyanade-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-nyanade-maid-7b-v1_reward/reward.tensors
Job nitral-ai-nyanade-maid-7b-v1-mkmlizer completed after 96.13s with status: succeeded
Stopping job with name nitral-ai-nyanade-maid-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 100.23s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-nyanade-maid-7b-v1
Waiting for inference service nitral-ai-nyanade-maid-7b-v1 to be ready
Inference service nitral-ai-nyanade-maid-7b-v1 ready after 50.28782653808594s
Pipeline stage ISVCDeployer completed in 58.04s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.806894302368164s
Received healthy response to inference request in 1.212092638015747s
Received healthy response to inference request in 1.200214147567749s
Received healthy response to inference request in 1.3073313236236572s
Received healthy response to inference request in 1.2180042266845703s
5 requests
0 failed requests
5th percentile: 1.2025898456573487
10th percentile: 1.2049655437469482
20th percentile: 1.2097169399261474
30th percentile: 1.2132749557495117
40th percentile: 1.215639591217041
50th percentile: 1.2180042266845703
60th percentile: 1.253735065460205
70th percentile: 1.2894659042358398
80th percentile: 1.4072439193725588
90th percentile: 1.6070691108703614
95th percentile: 1.7069817066192625
99th percentile: 1.7869117832183838
mean time: 1.3489073276519776
Pipeline stage StressChecker completed in 7.54s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-nyanade-maid-7b_v1 status is now deployed due to DeploymentManager action
nitral-ai-nyanade-maid-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-nyanade-maid-7b_v1
Running pipeline stage ISVCDeleter
Checking if service nitral-ai-nyanade-maid-7b-v1 is running
Tearing down inference service nitral-ai-nyanade-maid-7b-v1
Toredown service nitral-ai-nyanade-maid-7b-v1
Pipeline stage ISVCDeleter completed in 4.03s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nitral-ai-nyanade-maid-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyanade-maid-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key nitral-ai-nyanade-maid-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyanade-maid-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyanade-maid-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-nyanade-maid-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyanade-maid-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.16s
nitral-ai-nyanade-maid-7b_v1 status is now torndown due to DeploymentManager action