Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v55-mkmlizer
Waiting for job on khanhnto-khanhnto-v55-mkmlizer to finish
khanhnto-khanhnto-v55-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v55-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v55-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v55-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v55-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v55-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v55-mkmlizer: ║ ║
khanhnto-khanhnto-v55-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v55-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v55-mkmlizer: ║ ║
khanhnto-khanhnto-v55-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v55-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v55-mkmlizer: ║ ║
khanhnto-khanhnto-v55-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v55-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v55-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
khanhnto-khanhnto-v55-mkmlizer: ║ ║
khanhnto-khanhnto-v55-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v55-mkmlizer:
.gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.6MB/s]
khanhnto-khanhnto-v55-mkmlizer:
added_tokens.json: 0%| | 0.00/21.0 [00:00<?, ?B/s]
added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 189kB/s]
khanhnto-khanhnto-v55-mkmlizer:
config.json: 0%| | 0.00/702 [00:00<?, ?B/s]
config.json: 100%|██████████| 702/702 [00:00<00:00, 9.23MB/s]
khanhnto-khanhnto-v55-mkmlizer:
generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s]
generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.23MB/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00002-of-00006.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s]
model-00002-of-00006.safetensors: 0%| | 10.5M/4.97G [00:00<03:00, 27.5MB/s]
model-00002-of-00006.safetensors: 2%|▏ | 105M/4.97G [00:00<00:19, 246MB/s]
model-00002-of-00006.safetensors: 3%|▎ | 147M/4.97G [00:00<00:18, 255MB/s]
model-00002-of-00006.safetensors: 4%|▍ | 210M/4.97G [00:00<00:14, 333MB/s]
model-00002-of-00006.safetensors: 7%|▋ | 336M/4.97G [00:00<00:08, 563MB/s]
model-00002-of-00006.safetensors: 10%|█ | 514M/4.97G [00:01<00:05, 840MB/s]
model-00002-of-00006.safetensors: 13%|█▎ | 650M/4.97G [00:01<00:04, 954MB/s]
model-00002-of-00006.safetensors: 18%|█▊ | 881M/4.97G [00:01<00:03, 1.21GB/s]
model-00002-of-00006.safetensors: 20%|██ | 1.02G/4.97G [00:01<00:03, 998MB/s]
model-00002-of-00006.safetensors: 23%|██▎ | 1.13G/4.97G [00:01<00:04, 946MB/s]
model-00002-of-00006.safetensors: 26%|██▌ | 1.29G/4.97G [00:01<00:03, 1.08GB/s]
model-00002-of-00006.safetensors: 28%|██▊ | 1.42G/4.97G [00:01<00:03, 1.10GB/s]
model-00002-of-00006.safetensors: 31%|███ | 1.54G/4.97G [00:01<00:03, 1.09GB/s]
model-00002-of-00006.safetensors: 34%|███▍ | 1.68G/4.97G [00:02<00:02, 1.12GB/s]
model-00002-of-00006.safetensors: 37%|███▋ | 1.85G/4.97G [00:02<00:02, 1.26GB/s]
model-00002-of-00006.safetensors: 40%|███▉ | 1.98G/4.97G [00:02<00:02, 1.23GB/s]
model-00002-of-00006.safetensors: 42%|████▏ | 2.11G/4.97G [00:02<00:02, 1.23GB/s]
model-00002-of-00006.safetensors: 45%|████▍ | 2.23G/4.97G [00:02<00:02, 1.10GB/s]
model-00002-of-00006.safetensors: 49%|████▉ | 2.45G/4.97G [00:02<00:01, 1.33GB/s]
model-00002-of-00006.safetensors: 52%|█████▏ | 2.59G/4.97G [00:02<00:01, 1.27GB/s]
model-00002-of-00006.safetensors: 55%|█████▍ | 2.73G/4.97G [00:02<00:01, 1.25GB/s]
model-00002-of-00006.safetensors: 58%|█████▊ | 2.86G/4.97G [00:02<00:01, 1.27GB/s]
model-00002-of-00006.safetensors: 60%|██████ | 3.00G/4.97G [00:03<00:01, 1.27GB/s]
model-00002-of-00006.safetensors: 65%|██████▍ | 3.21G/4.97G [00:03<00:01, 1.49GB/s]
model-00002-of-00006.safetensors: 68%|██████▊ | 3.37G/4.97G [00:03<00:01, 1.45GB/s]
model-00002-of-00006.safetensors: 71%|███████ | 3.52G/4.97G [00:03<00:00, 1.47GB/s]
model-00002-of-00006.safetensors: 74%|███████▍ | 3.68G/4.97G [00:03<00:00, 1.49GB/s]
model-00002-of-00006.safetensors: 78%|███████▊ | 3.87G/4.97G [00:03<00:00, 1.60GB/s]
model-00002-of-00006.safetensors: 81%|████████ | 4.04G/4.97G [00:03<00:00, 1.57GB/s]
model-00002-of-00006.safetensors: 86%|████████▌ | 4.26G/4.97G [00:03<00:00, 1.73GB/s]
model-00002-of-00006.safetensors: 89%|████████▉ | 4.44G/4.97G [00:03<00:00, 1.45GB/s]
model-00002-of-00006.safetensors: 96%|█████████▋| 4.79G/4.97G [00:04<00:00, 1.97GB/s]
model-00002-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:04<00:00, 1.19GB/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00003-of-00006.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s]
model-00003-of-00006.safetensors: 0%| | 10.5M/4.97G [00:00<03:18, 25.0MB/s]
model-00003-of-00006.safetensors: 0%| | 21.0M/4.97G [00:00<02:20, 35.2MB/s]
model-00003-of-00006.safetensors: 1%| | 52.4M/4.97G [00:00<00:53, 92.5MB/s]
model-00003-of-00006.safetensors: 1%|▏ | 73.4M/4.97G [00:00<00:46, 105MB/s]
model-00003-of-00006.safetensors: 2%|▏ | 115M/4.97G [00:01<00:32, 149MB/s]
model-00003-of-00006.safetensors: 8%|▊ | 388M/4.97G [00:01<00:06, 696MB/s]
model-00003-of-00006.safetensors: 23%|██▎ | 1.16G/4.97G [00:01<00:01, 2.29GB/s]
model-00003-of-00006.safetensors: 30%|██▉ | 1.47G/4.97G [00:02<00:03, 949MB/s]
model-00003-of-00006.safetensors: 34%|███▍ | 1.69G/4.97G [00:02<00:03, 919MB/s]
model-00003-of-00006.safetensors: 48%|████▊ | 2.37G/4.97G [00:02<00:01, 1.65GB/s]
model-00003-of-00006.safetensors: 54%|█████▍ | 2.71G/4.97G [00:02<00:01, 1.80GB/s]
model-00003-of-00006.safetensors: 61%|██████ | 3.01G/4.97G [00:02<00:01, 1.75GB/s]
model-00003-of-00006.safetensors: 66%|██████▌ | 3.27G/4.97G [00:03<00:01, 1.19GB/s]
model-00003-of-00006.safetensors: 70%|███████ | 3.50G/4.97G [00:03<00:01, 1.32GB/s]
model-00003-of-00006.safetensors: 75%|███████▍ | 3.71G/4.97G [00:03<00:00, 1.29GB/s]
model-00003-of-00006.safetensors: 84%|████████▎ | 4.15G/4.97G [00:03<00:00, 1.81GB/s]
model-00003-of-00006.safetensors: 89%|████████▉ | 4.41G/4.97G [00:03<00:00, 1.68GB/s]
model-00003-of-00006.safetensors: 100%|█████████▉| 4.96G/4.97G [00:03<00:00, 2.39GB/s]
model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:03<00:00, 1.27GB/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00004-of-00006.safetensors: 0%| | 0.00/4.93G [00:00<?, ?B/s]
model-00004-of-00006.safetensors: 0%| | 10.5M/4.93G [00:00<03:35, 22.8MB/s]
model-00004-of-00006.safetensors: 0%| | 21.0M/4.93G [00:00<02:18, 35.6MB/s]
model-00004-of-00006.safetensors: 1%| | 52.4M/4.93G [00:00<00:54, 89.2MB/s]
model-00004-of-00006.safetensors: 2%|▏ | 83.9M/4.93G [00:00<00:38, 128MB/s]
model-00004-of-00006.safetensors: 2%|▏ | 105M/4.93G [00:01<00:43, 112MB/s]
model-00004-of-00006.safetensors: 3%|▎ | 126M/4.93G [00:01<00:36, 130MB/s]
model-00004-of-00006.safetensors: 14%|█▍ | 703M/4.93G [00:01<00:03, 1.37GB/s]
model-00004-of-00006.safetensors: 26%|██▌ | 1.26G/4.93G [00:01<00:01, 2.36GB/s]
model-00004-of-00006.safetensors: 32%|███▏ | 1.57G/4.93G [00:02<00:04, 813MB/s]
model-00004-of-00006.safetensors: 37%|███▋ | 1.80G/4.93G [00:02<00:03, 812MB/s]
model-00004-of-00006.safetensors: 40%|████ | 1.99G/4.93G [00:02<00:03, 916MB/s]
model-00004-of-00006.safetensors: 50%|█████ | 2.47G/4.93G [00:02<00:01, 1.43GB/s]
model-00004-of-00006.safetensors: 56%|█████▌ | 2.75G/4.93G [00:03<00:01, 1.41GB/s]
model-00004-of-00006.safetensors: 62%|██████▏ | 3.06G/4.93G [00:03<00:01, 1.68GB/s]
model-00004-of-00006.safetensors: 67%|██████▋ | 3.31G/4.93G [00:03<00:01, 1.52GB/s]
model-00004-of-00006.safetensors: 72%|███████▏ | 3.54G/4.93G [00:03<00:00, 1.63GB/s]
model-00004-of-00006.safetensors: 76%|███████▌ | 3.75G/4.93G [00:03<00:00, 1.22GB/s]
model-00004-of-00006.safetensors: 83%|████████▎ | 4.09G/4.93G [00:03<00:00, 1.56GB/s]
model-00004-of-00006.safetensors: 87%|████████▋ | 4.30G/4.93G [00:04<00:00, 1.56GB/s]
model-00004-of-00006.safetensors: 94%|█████████▍| 4.63G/4.93G [00:04<00:00, 1.91GB/s]
model-00004-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:04<00:00, 1.15GB/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00005-of-00006.safetensors: 0%| | 0.00/4.93G [00:00<?, ?B/s]
model-00005-of-00006.safetensors: 0%| | 10.5M/4.93G [00:00<03:52, 21.2MB/s]
model-00005-of-00006.safetensors: 0%| | 21.0M/4.93G [00:00<02:43, 30.1MB/s]
model-00005-of-00006.safetensors: 1%|▏ | 62.9M/4.93G [00:00<00:50, 96.2MB/s]
model-00005-of-00006.safetensors: 2%|▏ | 83.9M/4.93G [00:01<00:41, 116MB/s]
model-00005-of-00006.safetensors: 2%|▏ | 115M/4.93G [00:01<00:30, 158MB/s]
model-00005-of-00006.safetensors: 10%|█ | 503M/4.93G [00:01<00:04, 1.04GB/s]
model-00005-of-00006.safetensors: 25%|██▍ | 1.22G/4.93G [00:01<00:01, 2.56GB/s]
model-00005-of-00006.safetensors: 31%|███ | 1.54G/4.93G [00:02<00:03, 1.03GB/s]
model-00005-of-00006.safetensors: 36%|███▌ | 1.78G/4.93G [00:02<00:04, 668MB/s]
model-00005-of-00006.safetensors: 46%|████▌ | 2.28G/4.93G [00:02<00:02, 1.05GB/s]
model-00005-of-00006.safetensors: 52%|█████▏ | 2.59G/4.93G [00:02<00:01, 1.28GB/s]
model-00005-of-00006.safetensors: 58%|█████▊ | 2.87G/4.93G [00:03<00:01, 1.28GB/s]
model-00005-of-00006.safetensors: 63%|██████▎ | 3.11G/4.93G [00:03<00:01, 980MB/s]
model-00005-of-00006.safetensors: 67%|██████▋ | 3.30G/4.93G [00:03<00:01, 980MB/s]
model-00005-of-00006.safetensors: 71%|███████ | 3.48G/4.93G [00:03<00:01, 1.09GB/s]
model-00005-of-00006.safetensors: 78%|███████▊ | 3.84G/4.93G [00:04<00:00, 1.49GB/s]
model-00005-of-00006.safetensors: 83%|████████▎ | 4.09G/4.93G [00:04<00:00, 1.67GB/s]
model-00005-of-00006.safetensors: 88%|████████▊ | 4.32G/4.93G [00:04<00:00, 1.66GB/s]
model-00005-of-00006.safetensors: 93%|█████████▎| 4.57G/4.93G [00:04<00:00, 1.83GB/s]
model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:04<00:00, 1.09GB/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00006-of-00006.safetensors: 0%| | 0.00/1.25G [00:00<?, ?B/s]
model-00006-of-00006.safetensors: 1%| | 10.5M/1.25G [00:00<00:52, 23.5MB/s]
model-00006-of-00006.safetensors: 2%|▏ | 21.0M/1.25G [00:00<00:30, 39.6MB/s]
model-00006-of-00006.safetensors: 7%|▋ | 83.9M/1.25G [00:00<00:07, 149MB/s]
model-00006-of-00006.safetensors: 10%|█ | 126M/1.25G [00:00<00:06, 169MB/s]
model-00006-of-00006.safetensors: 19%|█▉ | 241M/1.25G [00:01<00:02, 366MB/s]
model-00006-of-00006.safetensors: 70%|██████▉ | 870M/1.25G [00:01<00:00, 1.69GB/s]
model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:01<00:00, 924MB/s]
khanhnto-khanhnto-v55-mkmlizer:
model.safetensors.index.json: 0%| | 0.00/29.9k [00:00<?, ?B/s]
model.safetensors.index.json: 100%|██████████| 29.9k/29.9k [00:00<00:00, 196MB/s]
khanhnto-khanhnto-v55-mkmlizer:
special_tokens_map.json: 0%| | 0.00/548 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 7.27MB/s]
khanhnto-khanhnto-v55-mkmlizer:
tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 22.5MB/s]
khanhnto-khanhnto-v55-mkmlizer:
tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 56.4MB/s]
khanhnto-khanhnto-v55-mkmlizer:
tokenizer_config.json: 0%| | 0.00/1.02k [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 1.02k/1.02k [00:00<00:00, 13.8MB/s]
khanhnto-khanhnto-v55-mkmlizer: Downloaded to shared memory in 27.275s
khanhnto-khanhnto-v55-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v55-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v55-mkmlizer: Reading /tmp/tmpoybqiolg/model.safetensors.index.json
khanhnto-khanhnto-v55-mkmlizer:
Profiling: 0%| | 0/363 [00:00<?, ?it/s]
Profiling: 0%| | 1/363 [00:02<14:22, 2.38s/it]
Profiling: 3%|▎ | 10/363 [00:02<01:04, 5.48it/s]
Profiling: 5%|▌ | 19/363 [00:02<00:29, 11.76it/s]
Profiling: 8%|▊ | 28/363 [00:02<00:17, 19.25it/s]
Profiling: 10%|█ | 38/363 [00:02<00:11, 28.96it/s]
Profiling: 13%|█▎ | 47/363 [00:02<00:08, 37.14it/s]
Profiling: 15%|█▌ | 56/363 [00:03<00:06, 46.11it/s]
Profiling: 18%|█▊ | 65/363 [00:03<00:05, 53.31it/s]
Profiling: 20%|██ | 74/363 [00:03<00:07, 40.14it/s]
Profiling: 23%|██▎ | 83/363 [00:03<00:05, 48.06it/s]
Profiling: 26%|██▌ | 93/363 [00:03<00:04, 57.11it/s]
Profiling: 28%|██▊ | 102/363 [00:03<00:04, 63.83it/s]
Profiling: 31%|███ | 111/363 [00:03<00:03, 66.24it/s]
Profiling: 33%|███▎ | 119/363 [00:04<00:03, 68.15it/s]
Profiling: 35%|███▌ | 128/363 [00:04<00:03, 72.95it/s]
Profiling: 38%|███▊ | 137/363 [00:04<00:02, 75.98it/s]
Profiling: 40%|████ | 146/363 [00:04<00:04, 49.91it/s]
Profiling: 42%|████▏ | 154/363 [00:04<00:03, 55.29it/s]
Profiling: 45%|████▍ | 163/363 [00:04<00:03, 62.31it/s]
Profiling: 47%|████▋ | 172/363 [00:04<00:02, 67.38it/s]
Profiling: 50%|████▉ | 180/363 [00:04<00:02, 65.53it/s]
Profiling: 52%|█████▏ | 188/363 [00:05<00:02, 67.24it/s]
Profiling: 54%|█████▍ | 197/363 [00:05<00:02, 71.46it/s]
Profiling: 56%|█████▋ | 205/363 [00:05<00:02, 73.43it/s]
Profiling: 59%|█████▊ | 213/363 [00:05<00:03, 45.05it/s]
Profiling: 61%|██████ | 221/363 [00:05<00:02, 50.19it/s]
Profiling: 63%|██████▎ | 230/363 [00:05<00:02, 57.26it/s]
Profiling: 65%|██████▌ | 237/363 [00:05<00:02, 58.77it/s]
Profiling: 67%|██████▋ | 244/363 [00:06<00:02, 56.88it/s]
Profiling: 69%|██████▉ | 251/363 [00:06<00:01, 59.84it/s]
Profiling: 72%|███████▏ | 260/363 [00:06<00:01, 66.71it/s]
Profiling: 74%|███████▍ | 269/363 [00:06<00:01, 71.85it/s]
Profiling: 76%|███████▋ | 277/363 [00:06<00:01, 74.06it/s]
Profiling: 79%|███████▊ | 285/363 [00:06<00:01, 46.41it/s]
Profiling: 81%|████████ | 293/363 [00:06<00:01, 52.26it/s]
Profiling: 83%|████████▎ | 302/363 [00:07<00:01, 59.79it/s]
Profiling: 86%|████████▌ | 311/363 [00:07<00:00, 65.41it/s]
Profiling: 88%|████████▊ | 320/363 [00:07<00:00, 69.79it/s]
Profiling: 90%|█████████ | 328/363 [00:07<00:00, 72.38it/s]
Profiling: 93%|█████████▎| 337/363 [00:07<00:00, 74.50it/s]
Profiling: 95%|█████████▌| 346/363 [00:07<00:00, 77.24it/s]
Profiling: 98%|█████████▊| 355/363 [00:09<00:00, 12.51it/s]
Profiling: 100%|██████████| 363/363 [00:09<00:00, 36.80it/s]
khanhnto-khanhnto-v55-mkmlizer: quantized model in 30.379s
khanhnto-khanhnto-v55-mkmlizer: Processed model khanhnto/khanhnto in 59.448s
khanhnto-khanhnto-v55-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v55-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v55-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v55
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v55/added_tokens.json
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v55/tokenizer.model
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v55/tokenizer.json
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v55/config.json
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v55/special_tokens_map.json
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v55/tokenizer_config.json
khanhnto-khanhnto-v55-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v55/mkml_model.tensors
khanhnto-khanhnto-v55-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
khanhnto-khanhnto-v55-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.
khanhnto-khanhnto-v55-mkmlizer: warnings.warn(
khanhnto-khanhnto-v55-mkmlizer:
config.json: 0%| | 0.00/983 [00:00<?, ?B/s]
config.json: 100%|██████████| 983/983 [00:00<00:00, 7.87MB/s]
khanhnto-khanhnto-v55-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.
khanhnto-khanhnto-v55-mkmlizer: warnings.warn(
khanhnto-khanhnto-v55-mkmlizer:
tokenizer_config.json: 0%| | 0.00/445 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 445/445 [00:00<00:00, 5.93MB/s]
khanhnto-khanhnto-v55-mkmlizer:
vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s]
vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 19.4MB/s]
khanhnto-khanhnto-v55-mkmlizer:
merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s]
merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 93.0MB/s]
khanhnto-khanhnto-v55-mkmlizer:
tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.6MB/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.5MB/s]
khanhnto-khanhnto-v55-mkmlizer:
special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 5.47MB/s]
khanhnto-khanhnto-v55-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.
khanhnto-khanhnto-v55-mkmlizer: warnings.warn(
khanhnto-khanhnto-v55-mkmlizer:
model.safetensors.index.json: 0%| | 0.00/10.5k [00:00<?, ?B/s]
model.safetensors.index.json: 100%|██████████| 10.5k/10.5k [00:00<00:00, 79.1MB/s]
khanhnto-khanhnto-v55-mkmlizer:
Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
khanhnto-khanhnto-v55-mkmlizer:
model-00001-of-00001.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s][A
khanhnto-khanhnto-v55-mkmlizer:
model-00001-of-00001.safetensors: 4%|▍ | 10.5M/249M [00:00<00:06, 38.7MB/s][A
khanhnto-khanhnto-v55-mkmlizer:
model-00001-of-00001.safetensors: 13%|█▎ | 31.5M/249M [00:00<00:02, 95.0MB/s][A
khanhnto-khanhnto-v55-mkmlizer:
model-00001-of-00001.safetensors: 41%|████ | 102M/249M [00:00<00:00, 226MB/s] [A
khanhnto-khanhnto-v55-mkmlizer:
model-00001-of-00001.safetensors: 54%|█████▎ | 134M/249M [00:00<00:00, 210MB/s][A
model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 316MB/s]
khanhnto-khanhnto-v55-mkmlizer:
Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.22s/it]
Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.22s/it]
khanhnto-khanhnto-v55-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v55-mkmlizer: Saving duration: 0.101s
khanhnto-khanhnto-v55-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 3.636s
khanhnto-khanhnto-v55-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v55-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v55-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v55_reward
Job khanhnto-khanhnto-v55-mkmlizer completed after 95.42s with status: succeeded
Stopping job with name khanhnto-khanhnto-v55-mkmlizer
Pipeline stage MKMLizer completed in 96.92s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.38s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v55
Waiting for inference service khanhnto-khanhnto-v55 to be ready
Inference service khanhnto-khanhnto-v55 ready after 61.10867667198181s
Pipeline stage ISVCDeployer completed in 67.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.672839403152466s
Received healthy response to inference request in 2.2805352210998535s
Received healthy response to inference request in 2.2488605976104736s
Received healthy response to inference request in 2.161008358001709s
Received healthy response to inference request in 2.3687572479248047s
5 requests
0 failed requests
5th percentile: 2.178578805923462
10th percentile: 2.1961492538452148
20th percentile: 2.2312901496887205
30th percentile: 2.2551955223083495
40th percentile: 2.2678653717041017
50th percentile: 2.2805352210998535
60th percentile: 2.315824031829834
70th percentile: 2.3511128425598145
80th percentile: 2.429573678970337
90th percentile: 2.5512065410614015
95th percentile: 2.6120229721069337
99th percentile: 2.6606761169433595
mean time: 2.3464001655578612
Pipeline stage StressChecker completed in 14.73s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.14s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.12s
%s, retrying in %s seconds...
Running M-Eval for topic stay_in_character
khanhnto-khanhnto_v55 status is now inactive due to auto deactivation removed underperforming models
khanhnto-khanhnto_v55 status is now deployed due to admin request
khanhnto-khanhnto_v55 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khanhnto-khanhnto_v55
Running pipeline stage ISVCDeleter
Checking if service khanhnto-khanhnto-v55 is running
Tearing down inference service khanhnto-khanhnto-v55
Toredown service khanhnto-khanhnto-v55
Pipeline stage ISVCDeleter completed in 11.09s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v55/added_tokens.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/config.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/tokenizer.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/tokenizer.model from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v55/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v55_reward/config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/merges.txt from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v55_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.73s
khanhnto-khanhnto_v55 status is now torndown due to DeploymentManager action