Running pipeline stage MKMLizer
Starting job with name abx-ai-laymonade-7b-v1-mkmlizer
Waiting for job on abx-ai-laymonade-7b-v1-mkmlizer to finish
abx-ai-laymonade-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
abx-ai-laymonade-7b-v1-mkmlizer: ║ _____ __ __ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ /___/ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ belonging to: ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ Chai Research Corp. ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
abx-ai-laymonade-7b-v1-mkmlizer: ║ ║
abx-ai-laymonade-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
abx-ai-laymonade-7b-v1-mkmlizer:
.gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 14.8MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
README.md: 0%| | 0.00/1.48k [00:00<?, ?B/s]
README.md: 100%|██████████| 1.48k/1.48k [00:00<00:00, 22.0MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
config.json: 0%| | 0.00/638 [00:00<?, ?B/s]
config.json: 100%|██████████| 638/638 [00:00<00:00, 5.17MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
mergekit_config.yml: 0%| | 0.00/404 [00:00<?, ?B/s]
mergekit_config.yml: 100%|██████████| 404/404 [00:00<00:00, 3.34MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00001-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s]
model-00001-of-00008.safetensors: 1%| | 10.5M/1.98G [00:00<02:31, 13.0MB/s]
model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<02:14, 14.5MB/s]
model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:01<01:35, 20.3MB/s]
model-00001-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:02<01:17, 24.9MB/s]
model-00001-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:02<00:58, 33.0MB/s]
model-00001-of-00008.safetensors: 4%|▎ | 73.4M/1.98G [00:02<00:38, 49.5MB/s]
model-00001-of-00008.safetensors: 7%|▋ | 136M/1.98G [00:02<00:13, 133MB/s]
model-00001-of-00008.safetensors: 16%|█▌ | 315M/1.98G [00:02<00:04, 398MB/s]
model-00001-of-00008.safetensors: 22%|██▏ | 430M/1.98G [00:02<00:03, 461MB/s]
model-00001-of-00008.safetensors: 28%|██▊ | 545M/1.98G [00:02<00:02, 588MB/s]
model-00001-of-00008.safetensors: 48%|████▊ | 944M/1.98G [00:02<00:00, 1.30GB/s]
model-00001-of-00008.safetensors: 57%|█████▋ | 1.12G/1.98G [00:03<00:01, 847MB/s]
model-00001-of-00008.safetensors: 64%|██████▍ | 1.27G/1.98G [00:03<00:00, 733MB/s]
model-00001-of-00008.safetensors: 71%|███████ | 1.40G/1.98G [00:03<00:00, 825MB/s]
model-00001-of-00008.safetensors: 77%|███████▋ | 1.53G/1.98G [00:03<00:00, 735MB/s]
model-00001-of-00008.safetensors: 83%|████████▎ | 1.63G/1.98G [00:04<00:00, 740MB/s]
model-00001-of-00008.safetensors: 87%|████████▋ | 1.73G/1.98G [00:04<00:00, 721MB/s]
model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 453MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00002-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s]
model-00002-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<01:41, 19.1MB/s]
model-00002-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:54, 16.8MB/s]
model-00002-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:01<00:49, 38.8MB/s]
model-00002-of-00008.safetensors: 4%|▍ | 83.9M/1.95G [00:01<00:21, 87.8MB/s]
model-00002-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:20, 90.4MB/s]
model-00002-of-00008.safetensors: 6%|▋ | 126M/1.95G [00:01<00:18, 101MB/s]
model-00002-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:01<00:11, 156MB/s]
model-00002-of-00008.safetensors: 10%|█ | 199M/1.95G [00:02<00:10, 166MB/s]
model-00002-of-00008.safetensors: 13%|█▎ | 262M/1.95G [00:02<00:06, 258MB/s]
model-00002-of-00008.safetensors: 17%|█▋ | 325M/1.95G [00:02<00:04, 334MB/s]
model-00002-of-00008.safetensors: 20%|██ | 398M/1.95G [00:02<00:03, 423MB/s]
model-00002-of-00008.safetensors: 27%|██▋ | 524M/1.95G [00:02<00:02, 605MB/s]
model-00002-of-00008.safetensors: 31%|███ | 598M/1.95G [00:02<00:02, 576MB/s]
model-00002-of-00008.safetensors: 38%|███▊ | 744M/1.95G [00:02<00:01, 792MB/s]
model-00002-of-00008.safetensors: 68%|██████▊ | 1.32G/1.95G [00:02<00:00, 2.03GB/s]
model-00002-of-00008.safetensors: 79%|███████▉ | 1.54G/1.95G [00:03<00:00, 1.52GB/s]
model-00002-of-00008.safetensors: 89%|████████▊ | 1.73G/1.95G [00:03<00:00, 1.26GB/s]
model-00002-of-00008.safetensors: 97%|█████████▋| 1.88G/1.95G [00:03<00:00, 1.18GB/s]
model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:03<00:00, 539MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00003-of-00008.safetensors: 0%| | 0.00/1.97G [00:00<?, ?B/s]
model-00003-of-00008.safetensors: 1%| | 10.5M/1.97G [00:00<03:06, 10.5MB/s]
model-00003-of-00008.safetensors: 1%| | 21.0M/1.97G [00:01<01:39, 19.7MB/s]
model-00003-of-00008.safetensors: 2%|▏ | 31.5M/1.97G [00:01<01:02, 31.0MB/s]
model-00003-of-00008.safetensors: 3%|▎ | 62.9M/1.97G [00:01<00:25, 75.7MB/s]
model-00003-of-00008.safetensors: 5%|▌ | 105M/1.97G [00:01<00:13, 139MB/s]
model-00003-of-00008.safetensors: 7%|▋ | 136M/1.97G [00:01<00:12, 145MB/s]
model-00003-of-00008.safetensors: 10%|█ | 199M/1.97G [00:01<00:07, 227MB/s]
model-00003-of-00008.safetensors: 12%|█▏ | 231M/1.97G [00:02<00:08, 202MB/s]
model-00003-of-00008.safetensors: 15%|█▍ | 294M/1.97G [00:02<00:06, 274MB/s]
model-00003-of-00008.safetensors: 19%|█▊ | 367M/1.97G [00:02<00:04, 347MB/s]
model-00003-of-00008.safetensors: 26%|██▌ | 503M/1.97G [00:02<00:02, 552MB/s]
model-00003-of-00008.safetensors: 29%|██▉ | 577M/1.97G [00:02<00:02, 522MB/s]
model-00003-of-00008.safetensors: 32%|███▏ | 640M/1.97G [00:02<00:02, 507MB/s]
model-00003-of-00008.safetensors: 48%|████▊ | 944M/1.97G [00:02<00:00, 1.09GB/s]
model-00003-of-00008.safetensors: 75%|███████▍ | 1.48G/1.97G [00:02<00:00, 2.00GB/s]
model-00003-of-00008.safetensors: 86%|████████▌ | 1.70G/1.97G [00:03<00:00, 1.59GB/s]
model-00003-of-00008.safetensors: 96%|█████████▌| 1.89G/1.97G [00:03<00:00, 1.48GB/s]
model-00003-of-00008.safetensors: 100%|█████████▉| 1.97G/1.97G [00:03<00:00, 559MB/s]
abx-ai-laymonade-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 [00:00<01:20, 24.5MB/s]
model-00004-of-00008.safetensors: 1%| | 21.0M/1.98G [00:00<00:59, 32.7MB/s]
model-00004-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:01<01:25, 22.8MB/s]
model-00004-of-00008.safetensors: 3%|▎ | 62.9M/1.98G [00:01<00:34, 55.5MB/s]
model-00004-of-00008.safetensors: 4%|▎ | 73.4M/1.98G [00:01<00:37, 51.3MB/s]
model-00004-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:01<00:41, 46.0MB/s]
model-00004-of-00008.safetensors: 5%|▍ | 94.4M/1.98G [00:02<00:41, 45.1MB/s]
model-00004-of-00008.safetensors: 7%|▋ | 136M/1.98G [00:02<00:19, 95.4MB/s]
model-00004-of-00008.safetensors: 13%|█▎ | 252M/1.98G [00:02<00:06, 268MB/s]
model-00004-of-00008.safetensors: 15%|█▌ | 304M/1.98G [00:02<00:05, 290MB/s]
model-00004-of-00008.safetensors: 19%|█▊ | 367M/1.98G [00:02<00:04, 356MB/s]
model-00004-of-00008.safetensors: 23%|██▎ | 461M/1.98G [00:02<00:03, 474MB/s]
model-00004-of-00008.safetensors: 58%|█████▊ | 1.15G/1.98G [00:02<00:00, 1.99GB/s]
model-00004-of-00008.safetensors: 71%|███████ | 1.40G/1.98G [00:03<00:00, 1.07GB/s]
model-00004-of-00008.safetensors: 81%|████████ | 1.60G/1.98G [00:03<00:00, 827MB/s]
model-00004-of-00008.safetensors: 89%|████████▉ | 1.76G/1.98G [00:03<00:00, 859MB/s]
model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 479MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00005-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s]
model-00005-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<02:43, 11.9MB/s]
model-00005-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:39, 19.4MB/s]
model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:09, 27.6MB/s]
model-00005-of-00008.safetensors: 4%|▍ | 83.9M/1.95G [00:01<00:19, 96.5MB/s]
model-00005-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:16, 111MB/s]
model-00005-of-00008.safetensors: 6%|▋ | 126M/1.95G [00:01<00:16, 108MB/s]
model-00005-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:01<00:10, 164MB/s]
model-00005-of-00008.safetensors: 11%|█ | 210M/1.95G [00:02<00:08, 199MB/s]
model-00005-of-00008.safetensors: 13%|█▎ | 262M/1.95G [00:02<00:06, 261MB/s]
model-00005-of-00008.safetensors: 16%|█▌ | 315M/1.95G [00:02<00:05, 308MB/s]
model-00005-of-00008.safetensors: 23%|██▎ | 440M/1.95G [00:02<00:02, 513MB/s]
model-00005-of-00008.safetensors: 29%|██▊ | 556M/1.95G [00:02<00:02, 594MB/s]
model-00005-of-00008.safetensors: 35%|███▌ | 682M/1.95G [00:02<00:01, 727MB/s]
model-00005-of-00008.safetensors: 44%|████▎ | 849M/1.95G [00:02<00:01, 956MB/s]
model-00005-of-00008.safetensors: 73%|███████▎ | 1.43G/1.95G [00:02<00:00, 2.19GB/s]
model-00005-of-00008.safetensors: 86%|████████▌ | 1.68G/1.95G [00:03<00:00, 1.48GB/s]
model-00005-of-00008.safetensors: 96%|█████████▌| 1.87G/1.95G [00:03<00:00, 1.51GB/s]
model-00005-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 486MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00006-of-00008.safetensors: 0%| | 0.00/1.92G [00:00<?, ?B/s]
model-00006-of-00008.safetensors: 1%| | 10.5M/1.92G [00:00<01:03, 30.2MB/s]
model-00006-of-00008.safetensors: 2%|▏ | 31.5M/1.92G [00:01<01:20, 23.5MB/s]
model-00006-of-00008.safetensors: 2%|▏ | 41.9M/1.92G [00:01<00:59, 31.8MB/s]
model-00006-of-00008.safetensors: 3%|▎ | 52.4M/1.92G [00:01<00:53, 34.9MB/s]
model-00006-of-00008.safetensors: 4%|▍ | 83.9M/1.92G [00:01<00:25, 72.6MB/s]
model-00006-of-00008.safetensors: 6%|▌ | 115M/1.92G [00:02<00:21, 83.2MB/s]
model-00006-of-00008.safetensors: 8%|▊ | 157M/1.92G [00:02<00:14, 125MB/s]
model-00006-of-00008.safetensors: 13%|█▎ | 252M/1.92G [00:02<00:06, 259MB/s]
model-00006-of-00008.safetensors: 17%|█▋ | 336M/1.92G [00:02<00:04, 369MB/s]
model-00006-of-00008.safetensors: 24%|██▍ | 461M/1.92G [00:02<00:02, 546MB/s]
model-00006-of-00008.safetensors: 28%|██▊ | 535M/1.92G [00:02<00:02, 493MB/s]
model-00006-of-00008.safetensors: 31%|███ | 598M/1.92G [00:02<00:02, 460MB/s]
model-00006-of-00008.safetensors: 65%|██████▍ | 1.25G/1.92G [00:02<00:00, 1.75GB/s]
model-00006-of-00008.safetensors: 77%|███████▋ | 1.49G/1.92G [00:03<00:00, 1.46GB/s]
model-00006-of-00008.safetensors: 88%|████████▊ | 1.69G/1.92G [00:03<00:00, 1.15GB/s]
model-00006-of-00008.safetensors: 99%|█████████▉| 1.91G/1.92G [00:03<00:00, 1.26GB/s]
model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:03<00:00, 514MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00007-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s]
model-00007-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<02:10, 14.8MB/s]
model-00007-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:56, 16.6MB/s]
model-00007-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:12, 26.5MB/s]
model-00007-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:01<00:25, 73.5MB/s]
model-00007-of-00008.safetensors: 5%|▍ | 94.4M/1.95G [00:01<00:19, 94.2MB/s]
model-00007-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:01<00:19, 93.8MB/s]
model-00007-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:02<00:17, 106MB/s]
model-00007-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:02<00:13, 131MB/s]
model-00007-of-00008.safetensors: 11%|█ | 210M/1.95G [00:02<00:09, 187MB/s]
model-00007-of-00008.safetensors: 12%|█▏ | 241M/1.95G [00:02<00:08, 211MB/s]
model-00007-of-00008.safetensors: 14%|█▍ | 273M/1.95G [00:02<00:07, 232MB/s]
model-00007-of-00008.safetensors: 17%|█▋ | 325M/1.95G [00:02<00:05, 302MB/s]
model-00007-of-00008.safetensors: 23%|██▎ | 451M/1.95G [00:02<00:03, 490MB/s]
model-00007-of-00008.safetensors: 26%|██▌ | 503M/1.95G [00:02<00:03, 437MB/s]
model-00007-of-00008.safetensors: 32%|███▏ | 619M/1.95G [00:03<00:02, 600MB/s]
model-00007-of-00008.safetensors: 53%|█████▎ | 1.03G/1.95G [00:03<00:00, 1.47GB/s]
model-00007-of-00008.safetensors: 71%|███████ | 1.38G/1.95G [00:03<00:00, 2.01GB/s]
model-00007-of-00008.safetensors: 83%|████████▎ | 1.61G/1.95G [00:03<00:00, 1.71GB/s]
model-00007-of-00008.safetensors: 93%|█████████▎| 1.81G/1.95G [00:03<00:00, 1.34GB/s]
model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 464MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
model-00008-of-00008.safetensors: 0%| | 0.00/789M [00:00<?, ?B/s]
model-00008-of-00008.safetensors: 1%|▏ | 10.5M/789M [00:00<00:40, 19.1MB/s]
model-00008-of-00008.safetensors: 3%|▎ | 21.0M/789M [00:00<00:21, 36.4MB/s]
model-00008-of-00008.safetensors: 4%|▍ | 33.6M/789M [00:00<00:16, 44.9MB/s]
model-00008-of-00008.safetensors: 7%|▋ | 54.6M/789M [00:01<00:10, 70.5MB/s]
model-00008-of-00008.safetensors: 12%|█▏ | 96.5M/789M [00:01<00:04, 139MB/s]
model-00008-of-00008.safetensors: 15%|█▍ | 117M/789M [00:01<00:07, 91.5MB/s]
model-00008-of-00008.safetensors: 20%|██ | 159M/789M [00:01<00:04, 136MB/s]
model-00008-of-00008.safetensors: 28%|██▊ | 222M/789M [00:01<00:02, 220MB/s]
model-00008-of-00008.safetensors: 34%|███▎ | 264M/789M [00:01<00:02, 254MB/s]
model-00008-of-00008.safetensors: 40%|████ | 317M/789M [00:02<00:01, 313MB/s]
model-00008-of-00008.safetensors: 100%|█████████▉| 789M/789M [00:02<00:00, 369MB/s]
abx-ai-laymonade-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, 105MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 6.87MB/s]
abx-ai-laymonade-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, 15.5MB/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.5MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 48.9MB/s]
abx-ai-laymonade-7b-v1-mkmlizer:
tokenizer_config.json: 0%| | 0.00/2.05k [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 2.05k/2.05k [00:00<00:00, 16.5MB/s]
abx-ai-laymonade-7b-v1-mkmlizer: Downloaded to shared memory in 33.702s
abx-ai-laymonade-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
abx-ai-laymonade-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
abx-ai-laymonade-7b-v1-mkmlizer: Reading /tmp/tmpbx646kze/model.safetensors.index.json
abx-ai-laymonade-7b-v1-mkmlizer:
Profiling: 0%| | 0/291 [00:00<?, ?it/s]
Profiling: 0%| | 1/291 [00:00<00:37, 7.80it/s]
Profiling: 3%|▎ | 9/291 [00:00<00:06, 44.58it/s]
Profiling: 7%|▋ | 21/291 [00:00<00:03, 74.10it/s]
Profiling: 11%|█ | 31/291 [00:00<00:03, 82.57it/s]
Profiling: 14%|█▎ | 40/291 [00:00<00:04, 61.89it/s]
Profiling: 17%|█▋ | 50/291 [00:00<00:03, 70.91it/s]
Profiling: 21%|██ | 60/291 [00:00<00:02, 77.97it/s]
Profiling: 25%|██▌ | 74/291 [00:00<00:02, 94.91it/s]
Profiling: 29%|██▉ | 85/291 [00:02<00:09, 21.09it/s]
Profiling: 34%|███▍ | 100/291 [00:02<00:06, 30.94it/s]
Profiling: 38%|███▊ | 110/291 [00:02<00:04, 37.71it/s]
Profiling: 41%|████ | 120/291 [00:02<00:04, 42.19it/s]
Profiling: 44%|████▍ | 129/291 [00:02<00:03, 47.50it/s]
Profiling: 48%|████▊ | 141/291 [00:02<00:02, 58.73it/s]
Profiling: 52%|█████▏ | 151/291 [00:03<00:02, 66.07it/s]
Profiling: 55%|█████▌ | 161/291 [00:03<00:02, 61.18it/s]
Profiling: 61%|██████ | 177/291 [00:03<00:01, 78.48it/s]
Profiling: 65%|██████▍ | 188/291 [00:03<00:01, 81.75it/s]
Profiling: 69%|██████▉ | 201/291 [00:05<00:04, 21.58it/s]
Profiling: 72%|███████▏ | 210/291 [00:05<00:03, 26.03it/s]
Profiling: 78%|███████▊ | 226/291 [00:05<00:01, 37.73it/s]
Profiling: 81%|████████ | 236/291 [00:05<00:01, 42.16it/s]
Profiling: 85%|████████▍ | 247/291 [00:05<00:00, 50.38it/s]
Profiling: 90%|█████████ | 263/291 [00:05<00:00, 67.17it/s]
Profiling: 96%|█████████▌| 278/291 [00:05<00:00, 72.55it/s]
Profiling: 99%|█████████▉| 289/291 [00:05<00:00, 74.54it/s]
Profiling: 100%|██████████| 291/291 [00:06<00:00, 48.26it/s]
abx-ai-laymonade-7b-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
abx-ai-laymonade-7b-v1-mkmlizer: quantized model in 16.776s
abx-ai-laymonade-7b-v1-mkmlizer: Processed model ABX-AI/Laymonade-7B in 51.450s
abx-ai-laymonade-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
abx-ai-laymonade-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
abx-ai-laymonade-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/config.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/tokenizer.model
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/added_tokens.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/special_tokens_map.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/tokenizer_config.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/tokenizer.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/abx-ai-laymonade-7b-v1/mkml_model.tensors
abx-ai-laymonade-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
abx-ai-laymonade-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.
abx-ai-laymonade-7b-v1-mkmlizer: warnings.warn(
abx-ai-laymonade-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, 10.5MB/s]
abx-ai-laymonade-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.
abx-ai-laymonade-7b-v1-mkmlizer: warnings.warn(
abx-ai-laymonade-7b-v1-mkmlizer:
tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.69MB/s]
abx-ai-laymonade-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, 11.1MB/s]
abx-ai-laymonade-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, 18.0MB/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.9MB/s]
abx-ai-laymonade-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.
abx-ai-laymonade-7b-v1-mkmlizer: warnings.warn(
abx-ai-laymonade-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<00:15, 92.7MB/s]
pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:10, 139MB/s]
pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:10, 132MB/s]
pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:03, 342MB/s]
pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:01, 643MB/s]
pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:00<00:01, 635MB/s]
pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:00<00:01, 604MB/s]
pytorch_model.bin: 40%|████ | 585M/1.44G [00:00<00:01, 834MB/s]
pytorch_model.bin: 47%|████▋ | 679M/1.44G [00:01<00:00, 801MB/s]
pytorch_model.bin: 59%|█████▊ | 847M/1.44G [00:01<00:00, 1.00GB/s]
pytorch_model.bin: 72%|███████▏ | 1.05G/1.44G [00:01<00:00, 1.26GB/s]
pytorch_model.bin: 88%|████████▊ | 1.28G/1.44G [00:01<00:00, 1.54GB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 581MB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 657MB/s]
abx-ai-laymonade-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
abx-ai-laymonade-7b-v1-mkmlizer: Saving duration: 0.282s
abx-ai-laymonade-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.417s
abx-ai-laymonade-7b-v1-mkmlizer: creating bucket guanaco-reward-models
abx-ai-laymonade-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
abx-ai-laymonade-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/config.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/special_tokens_map.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/tokenizer_config.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/merges.txt
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/tokenizer.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/vocab.json
abx-ai-laymonade-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/abx-ai-laymonade-7b-v1_reward/reward.tensors
Job abx-ai-laymonade-7b-v1-mkmlizer completed after 85.85s with status: succeeded
Stopping job with name abx-ai-laymonade-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 88.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service abx-ai-laymonade-7b-v1
Waiting for inference service abx-ai-laymonade-7b-v1 to be ready
Inference service abx-ai-laymonade-7b-v1 ready after 40.23156404495239s
Pipeline stage ISVCDeployer completed in 47.33s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5542409420013428s
Received healthy response to inference request in 0.8457891941070557s
Received healthy response to inference request in 0.9162349700927734s
Received healthy response to inference request in 1.1559529304504395s
Received healthy response to inference request in 1.1472856998443604s
5 requests
0 failed requests
5th percentile: 0.8598783493041993
10th percentile: 0.8739675045013428
20th percentile: 0.9021458148956298
30th percentile: 0.9624451160430908
40th percentile: 1.0548654079437256
50th percentile: 1.1472856998443604
60th percentile: 1.150752592086792
70th percentile: 1.1542194843292237
80th percentile: 1.2356105327606202
90th percentile: 1.3949257373809814
95th percentile: 1.474583339691162
99th percentile: 1.5383094215393067
mean time: 1.1239007472991944
Pipeline stage StressChecker completed in 6.49s
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
abx-ai-laymonade-7b_v1 status is now deployed due to DeploymentManager action
abx-ai-laymonade-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of abx-ai-laymonade-7b_v1
Running pipeline stage ISVCDeleter
Checking if service abx-ai-laymonade-7b-v1 is running
Tearing down inference service abx-ai-laymonade-7b-v1
Toredown service abx-ai-laymonade-7b-v1
Pipeline stage ISVCDeleter completed in 6.13s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key abx-ai-laymonade-7b-v1/added_tokens.json from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key abx-ai-laymonade-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key abx-ai-laymonade-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key abx-ai-laymonade-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.49s
abx-ai-laymonade-7b_v1 status is now torndown due to DeploymentManager action
admin requested tearing down of abx-ai-laymonade-7b_v1
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.09s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.08s
abx-ai-laymonade-7b_v1 status is now torndown due to DeploymentManager action