developer_uid: PocketDoc
submission_id: pocketdoc-dans-personali_1885_v1
model_name: pocketdoc-dans-personali_1885_v1
model_group: PocketDoc/Dans-Personali
status: torndown
timestamp: 2024-04-18T15:13:22+00:00
num_battles: 17426
num_wins: 9118
celo_rating: 1152.83
family_friendly_score: 0.0
submission_type: basic
model_repo: PocketDoc/Dans-PersonalityEngine-30b
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 32528943616.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: pocketdoc-dans-personali_1885_v1
is_internal_developer: False
language_model: PocketDoc/Dans-PersonalityEngine-30b
model_size: 33B
ranking_group: single
us_pacific_date: 2024-04-18
win_ratio: 0.5232411339377941
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 3, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|', '</'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "<|system|>{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}', 'bot_template': '<|model|>{bot_name}: {message}', 'user_template': '<|user|>{user_name}: {message}', 'response_template': '<|model|>{bot_name}:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name pocketdoc-dans-personali-1885-v1-mkmlizer
Waiting for job on pocketdoc-dans-personali-1885-v1-mkmlizer to finish
pocketdoc-dans-personali-1885-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.48k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.48k/1.48k [00:00<00:00, 17.9MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: README.md: 0%| | 0.00/2.63k [00:00<?, ?B/s] README.md: 100%|██████████| 2.63k/2.63k [00:00<00:00, 21.9MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: config.json: 0%| | 0.00/538 [00:00<?, ?B/s] config.json: 100%|██████████| 538/538 [00:00<00:00, 8.27MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 2.12MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00001-of-00017.bin: 0%| | 0.00/3.99G [00:00<?, ?B/s] pytorch_model-00001-of-00017.bin: 0%| | 10.5M/3.99G [00:00<02:59, 22.2MB/s] pytorch_model-00001-of-00017.bin: 1%| | 21.0M/3.99G [00:02<07:39, 8.65MB/s] pytorch_model-00001-of-00017.bin: 1%| | 31.5M/3.99G [00:02<05:37, 11.7MB/s] pytorch_model-00001-of-00017.bin: 1%| | 41.9M/3.99G [00:02<03:50, 17.2MB/s] pytorch_model-00001-of-00017.bin: 2%|▏ | 62.9M/3.99G [00:03<01:59, 33.0MB/s] pytorch_model-00001-of-00017.bin: 2%|▏ | 94.4M/3.99G [00:03<01:07, 57.9MB/s] pytorch_model-00001-of-00017.bin: 4%|▍ | 168M/3.99G [00:03<00:27, 140MB/s] pytorch_model-00001-of-00017.bin: 7%|▋ | 283M/3.99G [00:03<00:14, 264MB/s] pytorch_model-00001-of-00017.bin: 9%|▉ | 357M/3.99G [00:03<00:10, 331MB/s] pytorch_model-00001-of-00017.bin: 10%|█ | 409M/3.99G [00:03<00:10, 336MB/s] pytorch_model-00001-of-00017.bin: 16%|█▌ | 619M/3.99G [00:03<00:04, 677MB/s] pytorch_model-00001-of-00017.bin: 27%|██▋ | 1.08G/3.99G [00:03<00:02, 1.45GB/s] pytorch_model-00001-of-00017.bin: 32%|███▏ | 1.26G/3.99G [00:04<00:04, 647MB/s] pytorch_model-00001-of-00017.bin: 35%|███▍ | 1.39G/3.99G [00:04<00:03, 703MB/s] pytorch_model-00001-of-00017.bin: 39%|███▊ | 1.54G/3.99G [00:04<00:03, 802MB/s] pytorch_model-00001-of-00017.bin: 42%|████▏ | 1.68G/3.99G [00:05<00:02, 777MB/s] pytorch_model-00001-of-00017.bin: 45%|████▍ | 1.79G/3.99G [00:05<00:03, 603MB/s] pytorch_model-00001-of-00017.bin: 47%|████▋ | 1.89G/3.99G [00:05<00:03, 633MB/s] pytorch_model-00001-of-00017.bin: 50%|█████ | 2.01G/3.99G [00:05<00:02, 712MB/s] pytorch_model-00001-of-00017.bin: 53%|█████▎ | 2.11G/3.99G [00:05<00:02, 679MB/s] pytorch_model-00001-of-00017.bin: 55%|█████▍ | 2.19G/3.99G [00:05<00:02, 665MB/s] pytorch_model-00001-of-00017.bin: 58%|█████▊ | 2.33G/3.99G [00:06<00:02, 798MB/s] pytorch_model-00001-of-00017.bin: 69%|██████▊ | 2.74G/3.99G [00:06<00:00, 1.52GB/s] pytorch_model-00001-of-00017.bin: 77%|███████▋ | 3.06G/3.99G [00:06<00:00, 1.91GB/s] pytorch_model-00001-of-00017.bin: 82%|████████▏ | 3.28G/3.99G [00:06<00:00, 1.23GB/s] pytorch_model-00001-of-00017.bin: 87%|████████▋ | 3.46G/3.99G [00:06<00:00, 1.01GB/s] pytorch_model-00001-of-00017.bin: 90%|█████████ | 3.60G/3.99G [00:07<00:00, 1.05GB/s] pytorch_model-00001-of-00017.bin: 95%|█████████▌| 3.80G/3.99G [00:07<00:00, 1.22GB/s] pytorch_model-00001-of-00017.bin: 100%|█████████▉| 3.99G/3.99G [00:07<00:00, 548MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00002-of-00017.bin: 0%| | 0.00/4.01G [00:00<?, ?B/s] pytorch_model-00002-of-00017.bin: 0%| | 10.5M/4.01G [00:02<18:08, 3.68MB/s] pytorch_model-00002-of-00017.bin: 1%| | 31.5M/4.01G [00:03<05:27, 12.1MB/s] pytorch_model-00002-of-00017.bin: 2%|▏ | 62.9M/4.01G [00:03<02:14, 29.4MB/s] pytorch_model-00002-of-00017.bin: 4%|▍ | 157M/4.01G [00:03<00:39, 98.6MB/s] pytorch_model-00002-of-00017.bin: 5%|▌ | 210M/4.01G [00:03<00:30, 126MB/s] pytorch_model-00002-of-00017.bin: 6%|▋ | 252M/4.01G [00:03<00:24, 156MB/s] pytorch_model-00002-of-00017.bin: 8%|▊ | 315M/4.01G [00:03<00:16, 219MB/s] pytorch_model-00002-of-00017.bin: 11%|█ | 440M/4.01G [00:03<00:09, 387MB/s] pytorch_model-00002-of-00017.bin: 28%|██▊ | 1.14G/4.01G [00:04<00:01, 1.63GB/s] pytorch_model-00002-of-00017.bin: 35%|███▌ | 1.42G/4.01G [00:05<00:04, 554MB/s] pytorch_model-00002-of-00017.bin: 40%|████ | 1.61G/4.01G [00:05<00:04, 584MB/s] pytorch_model-00002-of-00017.bin: 44%|████▍ | 1.77G/4.01G [00:05<00:03, 569MB/s] pytorch_model-00002-of-00017.bin: 48%|████▊ | 1.92G/4.01G [00:05<00:03, 656MB/s] pytorch_model-00002-of-00017.bin: 61%|██████ | 2.45G/4.01G [00:06<00:01, 1.23GB/s] pytorch_model-00002-of-00017.bin: 67%|██████▋ | 2.69G/4.01G [00:06<00:01, 1.11GB/s] pytorch_model-00002-of-00017.bin: 72%|███████▏ | 2.89G/4.01G [00:06<00:01, 976MB/s] pytorch_model-00002-of-00017.bin: 76%|███████▌ | 3.05G/4.01G [00:06<00:01, 893MB/s] pytorch_model-00002-of-00017.bin: 79%|███████▉ | 3.19G/4.01G [00:06<00:00, 959MB/s] pytorch_model-00002-of-00017.bin: 84%|████████▍ | 3.37G/4.01G [00:07<00:00, 1.09GB/s] pytorch_model-00002-of-00017.bin: 87%|████████▋ | 3.51G/4.01G [00:07<00:00, 797MB/s] pytorch_model-00002-of-00017.bin: 90%|█████████ | 3.63G/4.01G [00:07<00:00, 774MB/s] pytorch_model-00002-of-00017.bin: 93%|█████████▎| 3.74G/4.01G [00:07<00:00, 823MB/s] pytorch_model-00002-of-00017.bin: 96%|█████████▌| 3.85G/4.01G [00:07<00:00, 850MB/s] pytorch_model-00002-of-00017.bin: 100%|█████████▉| 4.01G/4.01G [00:07<00:00, 508MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00003-of-00017.bin: 0%| | 0.00/3.95G [00:00<?, ?B/s] pytorch_model-00003-of-00017.bin: 0%| | 10.5M/3.95G [00:01<11:54, 5.52MB/s] pytorch_model-00003-of-00017.bin: 1%| | 21.0M/3.95G [00:02<06:05, 10.7MB/s] pytorch_model-00003-of-00017.bin: 1%| | 41.9M/3.95G [00:02<03:33, 18.3MB/s] pytorch_model-00003-of-00017.bin: 2%|▏ | 73.4M/3.95G [00:03<01:44, 37.0MB/s] pytorch_model-00003-of-00017.bin: 3%|▎ | 126M/3.95G [00:03<00:49, 77.7MB/s] pytorch_model-00003-of-00017.bin: 5%|▍ | 178M/3.95G [00:03<00:30, 126MB/s] pytorch_model-00003-of-00017.bin: 8%|▊ | 336M/3.95G [00:03<00:11, 317MB/s] pytorch_model-00003-of-00017.bin: 10%|█ | 409M/3.95G [00:03<00:09, 365MB/s] pytorch_model-00003-of-00017.bin: 14%|█▍ | 566M/3.95G [00:03<00:06, 549MB/s] pytorch_model-00003-of-00017.bin: 25%|██▍ | 986M/3.95G [00:03<00:02, 1.25GB/s] pytorch_model-00003-of-00017.bin: 30%|██▉ | 1.17G/3.95G [00:04<00:04, 578MB/s] pytorch_model-00003-of-00017.bin: 33%|███▎ | 1.31G/3.95G [00:04<00:04, 614MB/s] pytorch_model-00003-of-00017.bin: 37%|███▋ | 1.48G/3.95G [00:04<00:03, 687MB/s] pytorch_model-00003-of-00017.bin: 40%|████ | 1.59G/3.95G [00:05<00:04, 519MB/s] pytorch_model-00003-of-00017.bin: 43%|████▎ | 1.69G/3.95G [00:05<00:04, 553MB/s] pytorch_model-00003-of-00017.bin: 45%|████▍ | 1.77G/3.95G [00:05<00:03, 568MB/s] pytorch_model-00003-of-00017.bin: 47%|████▋ | 1.86G/3.95G [00:05<00:03, 613MB/s] pytorch_model-00003-of-00017.bin: 52%|█████▏ | 2.04G/3.95G [00:05<00:02, 858MB/s] pytorch_model-00003-of-00017.bin: 57%|█████▋ | 2.24G/3.95G [00:05<00:01, 969MB/s] pytorch_model-00003-of-00017.bin: 60%|█████▉ | 2.36G/3.95G [00:06<00:01, 969MB/s] pytorch_model-00003-of-00017.bin: 70%|███████ | 2.77G/3.95G [00:06<00:00, 1.66GB/s] pytorch_model-00003-of-00017.bin: 75%|███████▌ | 2.97G/3.95G [00:06<00:00, 1.15GB/s] pytorch_model-00003-of-00017.bin: 79%|███████▉ | 3.12G/3.95G [00:06<00:00, 1.03GB/s] pytorch_model-00003-of-00017.bin: 82%|████████▏ | 3.26G/3.95G [00:06<00:00, 1.08GB/s] pytorch_model-00003-of-00017.bin: 86%|████████▌ | 3.40G/3.95G [00:06<00:00, 1.09GB/s] pytorch_model-00003-of-00017.bin: 91%|█████████ | 3.60G/3.95G [00:07<00:00, 1.28GB/s] pytorch_model-00003-of-00017.bin: 95%|█████████▍| 3.74G/3.95G [00:07<00:00, 1.14GB/s] pytorch_model-00003-of-00017.bin: 100%|█████████▉| 3.95G/3.95G [00:07<00:00, 541MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00004-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00004-of-00017.bin: 0%| | 10.5M/4.04G [00:01<09:49, 6.84MB/s] pytorch_model-00004-of-00017.bin: 1%| | 21.0M/4.04G [00:03<09:42, 6.91MB/s] pytorch_model-00004-of-00017.bin: 1%| | 41.9M/4.04G [00:03<03:59, 16.7MB/s] pytorch_model-00004-of-00017.bin: 2%|▏ | 94.4M/4.04G [00:03<01:18, 50.0MB/s] pytorch_model-00004-of-00017.bin: 5%|▍ | 199M/4.04G [00:03<00:28, 135MB/s] pytorch_model-00004-of-00017.bin: 6%|▌ | 252M/4.04G [00:03<00:23, 160MB/s] pytorch_model-00004-of-00017.bin: 8%|▊ | 315M/4.04G [00:03<00:17, 216MB/s] pytorch_model-00004-of-00017.bin: 10%|█ | 419M/4.04G [00:03<00:10, 332MB/s] pytorch_model-00004-of-00017.bin: 24%|██▎ | 954M/4.04G [00:03<00:02, 1.19GB/s] pytorch_model-00004-of-00017.bin: 30%|███ | 1.22G/4.04G [00:04<00:01, 1.42GB/s] pytorch_model-00004-of-00017.bin: 36%|███▌ | 1.44G/4.04G [00:04<00:04, 618MB/s] pytorch_model-00004-of-00017.bin: 39%|███▉ | 1.59G/4.04G [00:05<00:03, 715MB/s] pytorch_model-00004-of-00017.bin: 43%|████▎ | 1.75G/4.04G [00:05<00:04, 545MB/s] pytorch_model-00004-of-00017.bin: 46%|████▋ | 1.88G/4.04G [00:05<00:03, 565MB/s] pytorch_model-00004-of-00017.bin: 49%|████▉ | 1.98G/4.04G [00:05<00:03, 595MB/s] pytorch_model-00004-of-00017.bin: 53%|█████▎ | 2.13G/4.04G [00:05<00:02, 715MB/s] pytorch_model-00004-of-00017.bin: 56%|█████▌ | 2.24G/4.04G [00:06<00:02, 758MB/s] pytorch_model-00004-of-00017.bin: 58%|█████▊ | 2.35G/4.04G [00:06<00:02, 751MB/s] pytorch_model-00004-of-00017.bin: 63%|██████▎ | 2.55G/4.04G [00:06<00:01, 995MB/s] pytorch_model-00004-of-00017.bin: 71%|███████ | 2.85G/4.04G [00:06<00:00, 1.43GB/s] pytorch_model-00004-of-00017.bin: 78%|███████▊ | 3.14G/4.04G [00:06<00:00, 1.75GB/s] pytorch_model-00004-of-00017.bin: 83%|████████▎ | 3.34G/4.04G [00:06<00:00, 1.53GB/s] pytorch_model-00004-of-00017.bin: 87%|████████▋ | 3.53G/4.04G [00:06<00:00, 1.32GB/s] pytorch_model-00004-of-00017.bin: 91%|█████████ | 3.69G/4.04G [00:07<00:00, 1.25GB/s] pytorch_model-00004-of-00017.bin: 98%|█████████▊| 3.96G/4.04G [00:07<00:00, 1.54GB/s] pytorch_model-00004-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 531MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00005-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00005-of-00017.bin: 0%| | 10.5M/4.04G [00:02<14:41, 4.57MB/s] pytorch_model-00005-of-00017.bin: 1%| | 21.0M/4.04G [00:02<07:30, 8.93MB/s] pytorch_model-00005-of-00017.bin: 1%| | 41.9M/4.04G [00:02<03:05, 21.5MB/s] pytorch_model-00005-of-00017.bin: 1%|▏ | 52.4M/4.04G [00:03<02:30, 26.5MB/s] pytorch_model-00005-of-00017.bin: 2%|▏ | 83.9M/4.04G [00:03<01:14, 53.1MB/s] pytorch_model-00005-of-00017.bin: 5%|▍ | 189M/4.04G [00:03<00:22, 172MB/s] pytorch_model-00005-of-00017.bin: 6%|▌ | 241M/4.04G [00:03<00:17, 220MB/s] pytorch_model-00005-of-00017.bin: 7%|▋ | 294M/4.04G [00:03<00:17, 210MB/s] pytorch_model-00005-of-00017.bin: 11%|█▏ | 461M/4.04G [00:03<00:08, 441MB/s] pytorch_model-00005-of-00017.bin: 22%|██▏ | 902M/4.04G [00:03<00:02, 1.16GB/s] pytorch_model-00005-of-00017.bin: 31%|███▏ | 1.27G/4.04G [00:03<00:01, 1.60GB/s] pytorch_model-00005-of-00017.bin: 37%|███▋ | 1.49G/4.04G [00:05<00:04, 521MB/s] pytorch_model-00005-of-00017.bin: 41%|████ | 1.65G/4.04G [00:05<00:04, 560MB/s] pytorch_model-00005-of-00017.bin: 50%|████▉ | 2.01G/4.04G [00:05<00:02, 872MB/s] pytorch_model-00005-of-00017.bin: 55%|█████▍ | 2.22G/4.04G [00:05<00:01, 952MB/s] pytorch_model-00005-of-00017.bin: 60%|█████▉ | 2.41G/4.04G [00:05<00:01, 1.06GB/s] pytorch_model-00005-of-00017.bin: 64%|██████▍ | 2.59G/4.04G [00:06<00:01, 730MB/s] pytorch_model-00005-of-00017.bin: 67%|██████▋ | 2.73G/4.04G [00:06<00:01, 735MB/s] pytorch_model-00005-of-00017.bin: 71%|███████ | 2.86G/4.04G [00:06<00:01, 815MB/s] pytorch_model-00005-of-00017.bin: 75%|███████▍ | 3.02G/4.04G [00:06<00:01, 936MB/s] pytorch_model-00005-of-00017.bin: 82%|████████▏ | 3.30G/4.04G [00:06<00:00, 1.25GB/s] pytorch_model-00005-of-00017.bin: 86%|████████▌ | 3.47G/4.04G [00:06<00:00, 1.23GB/s] pytorch_model-00005-of-00017.bin: 92%|█████████▏| 3.72G/4.04G [00:06<00:00, 1.48GB/s] pytorch_model-00005-of-00017.bin: 97%|█████████▋| 3.94G/4.04G [00:07<00:00, 1.64GB/s] pytorch_model-00005-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 541MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00006-of-00017.bin: 0%| | 0.00/4.01G [00:00<?, ?B/s] pytorch_model-00006-of-00017.bin: 0%| | 10.5M/4.01G [00:03<19:06, 3.49MB/s] pytorch_model-00006-of-00017.bin: 1%| | 21.0M/4.01G [00:03<08:19, 8.00MB/s] pytorch_model-00006-of-00017.bin: 1%| | 41.9M/4.01G [00:03<03:35, 18.4MB/s] pytorch_model-00006-of-00017.bin: 2%|▏ | 62.9M/4.01G [00:03<02:02, 32.3MB/s] pytorch_model-00006-of-00017.bin: 4%|▎ | 147M/4.01G [00:03<00:36, 107MB/s] pytorch_model-00006-of-00017.bin: 5%|▍ | 199M/4.01G [00:03<00:24, 155MB/s] pytorch_model-00006-of-00017.bin: 7%|▋ | 262M/4.01G [00:03<00:17, 212MB/s] pytorch_model-00006-of-00017.bin: 8%|▊ | 304M/4.01G [00:03<00:16, 231MB/s] pytorch_model-00006-of-00017.bin: 13%|█▎ | 503M/4.01G [00:04<00:06, 545MB/s] pytorch_model-00006-of-00017.bin: 27%|██▋ | 1.10G/4.01G [00:04<00:01, 1.57GB/s] pytorch_model-00006-of-00017.bin: 33%|███▎ | 1.31G/4.01G [00:05<00:04, 627MB/s] pytorch_model-00006-of-00017.bin: 37%|███▋ | 1.47G/4.01G [00:05<00:03, 714MB/s] pytorch_model-00006-of-00017.bin: 40%|████ | 1.61G/4.01G [00:05<00:03, 791MB/s] pytorch_model-00006-of-00017.bin: 44%|████▍ | 1.76G/4.01G [00:05<00:03, 631MB/s] pytorch_model-00006-of-00017.bin: 47%|████▋ | 1.88G/4.01G [00:05<00:03, 611MB/s] pytorch_model-00006-of-00017.bin: 49%|████▉ | 1.97G/4.01G [00:06<00:03, 622MB/s] pytorch_model-00006-of-00017.bin: 51%|█████▏ | 2.07G/4.01G [00:06<00:02, 665MB/s] pytorch_model-00006-of-00017.bin: 56%|█████▌ | 2.25G/4.01G [00:06<00:02, 876MB/s] pytorch_model-00006-of-00017.bin: 60%|█████▉ | 2.40G/4.01G [00:06<00:01, 866MB/s] pytorch_model-00006-of-00017.bin: 62%|██████▏ | 2.51G/4.01G [00:06<00:01, 886MB/s] pytorch_model-00006-of-00017.bin: 70%|███████ | 2.82G/4.01G [00:06<00:00, 1.39GB/s] pytorch_model-00006-of-00017.bin: 77%|███████▋ | 3.08G/4.01G [00:06<00:00, 1.65GB/s] pytorch_model-00006-of-00017.bin: 82%|████████▏ | 3.28G/4.01G [00:07<00:00, 1.13GB/s] pytorch_model-00006-of-00017.bin: 86%|████████▌ | 3.44G/4.01G [00:07<00:00, 983MB/s] pytorch_model-00006-of-00017.bin: 89%|████████▉ | 3.58G/4.01G [00:07<00:00, 1.02GB/s] pytorch_model-00006-of-00017.bin: 92%|█████████▏| 3.71G/4.01G [00:07<00:00, 1.05GB/s] pytorch_model-00006-of-00017.bin: 96%|█████████▌| 3.84G/4.01G [00:07<00:00, 998MB/s] pytorch_model-00006-of-00017.bin: 100%|█████████▉| 4.01G/4.01G [00:07<00:00, 516MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00007-of-00017.bin: 0%| | 0.00/3.95G [00:00<?, ?B/s] pytorch_model-00007-of-00017.bin: 0%| | 10.5M/3.95G [00:01<06:26, 10.2MB/s] pytorch_model-00007-of-00017.bin: 1%| | 21.0M/3.95G [00:02<06:22, 10.3MB/s] pytorch_model-00007-of-00017.bin: 1%| | 31.5M/3.95G [00:02<04:01, 16.2MB/s] pytorch_model-00007-of-00017.bin: 1%| | 41.9M/3.95G [00:02<02:58, 21.9MB/s] pytorch_model-00007-of-00017.bin: 2%|▏ | 62.9M/3.95G [00:02<01:45, 37.0MB/s] pytorch_model-00007-of-00017.bin: 2%|▏ | 83.9M/3.95G [00:03<01:35, 40.7MB/s] pytorch_model-00007-of-00017.bin: 5%|▌ | 199M/3.95G [00:03<00:24, 153MB/s] pytorch_model-00007-of-00017.bin: 6%|▋ | 252M/3.95G [00:03<00:18, 198MB/s] pytorch_model-00007-of-00017.bin: 7%|▋ | 294M/3.95G [00:03<00:16, 219MB/s] pytorch_model-00007-of-00017.bin: 8%|▊ | 336M/3.95G [00:03<00:14, 248MB/s] pytorch_model-00007-of-00017.bin: 14%|█▎ | 535M/3.95G [00:03<00:05, 584MB/s] pytorch_model-00007-of-00017.bin: 29%|██▉ | 1.15G/3.95G [00:03<00:01, 1.77GB/s] pytorch_model-00007-of-00017.bin: 35%|███▌ | 1.39G/3.95G [00:04<00:03, 766MB/s] pytorch_model-00007-of-00017.bin: 40%|███▉ | 1.57G/3.95G [00:04<00:03, 709MB/s] pytorch_model-00007-of-00017.bin: 45%|████▍ | 1.76G/3.95G [00:04<00:02, 847MB/s] pytorch_model-00007-of-00017.bin: 49%|████▊ | 1.92G/3.95G [00:05<00:02, 694MB/s] pytorch_model-00007-of-00017.bin: 52%|█████▏ | 2.04G/3.95G [00:05<00:02, 753MB/s] pytorch_model-00007-of-00017.bin: 56%|█████▌ | 2.20G/3.95G [00:05<00:02, 864MB/s] pytorch_model-00007-of-00017.bin: 59%|█████▉ | 2.33G/3.95G [00:05<00:01, 900MB/s] pytorch_model-00007-of-00017.bin: 62%|██████▏ | 2.45G/3.95G [00:05<00:01, 859MB/s] pytorch_model-00007-of-00017.bin: 68%|██████▊ | 2.71G/3.95G [00:05<00:01, 1.18GB/s] pytorch_model-00007-of-00017.bin: 76%|███████▌ | 3.01G/3.95G [00:06<00:00, 1.35GB/s] pytorch_model-00007-of-00017.bin: 80%|████████ | 3.17G/3.95G [00:06<00:00, 1.30GB/s] pytorch_model-00007-of-00017.bin: 84%|████████▍ | 3.31G/3.95G [00:06<00:00, 1.24GB/s] pytorch_model-00007-of-00017.bin: 87%|████████▋ | 3.45G/3.95G [00:06<00:00, 1.13GB/s] pytorch_model-00007-of-00017.bin: 94%|█████████▎| 3.70G/3.95G [00:06<00:00, 1.43GB/s] pytorch_model-00007-of-00017.bin: 99%|█████████▉| 3.92G/3.95G [00:06<00:00, 1.51GB/s] pytorch_model-00007-of-00017.bin: 100%|█████████▉| 3.95G/3.95G [00:07<00:00, 564MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00008-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00008-of-00017.bin: 0%| | 10.5M/4.04G [00:02<16:43, 4.02MB/s] pytorch_model-00008-of-00017.bin: 1%| | 21.0M/4.04G [00:02<07:26, 9.01MB/s] pytorch_model-00008-of-00017.bin: 1%| | 31.5M/4.04G [00:02<04:34, 14.6MB/s] pytorch_model-00008-of-00017.bin: 2%|▏ | 73.4M/4.04G [00:03<01:25, 46.4MB/s] pytorch_model-00008-of-00017.bin: 4%|▎ | 147M/4.04G [00:03<00:34, 114MB/s] pytorch_model-00008-of-00017.bin: 7%|▋ | 294M/4.04G [00:03<00:13, 275MB/s] pytorch_model-00008-of-00017.bin: 9%|▉ | 357M/4.04G [00:03<00:13, 269MB/s] pytorch_model-00008-of-00017.bin: 10%|█ | 409M/4.04G [00:03<00:11, 305MB/s] pytorch_model-00008-of-00017.bin: 22%|██▏ | 902M/4.04G [00:03<00:02, 1.11GB/s] pytorch_model-00008-of-00017.bin: 28%|██▊ | 1.12G/4.04G [00:03<00:02, 1.27GB/s] pytorch_model-00008-of-00017.bin: 32%|███▏ | 1.31G/4.04G [00:04<00:04, 568MB/s] pytorch_model-00008-of-00017.bin: 36%|███▌ | 1.45G/4.04G [00:05<00:05, 505MB/s] pytorch_model-00008-of-00017.bin: 39%|███▉ | 1.57G/4.04G [00:05<00:04, 584MB/s] pytorch_model-00008-of-00017.bin: 42%|████▏ | 1.69G/4.04G [00:05<00:03, 613MB/s] pytorch_model-00008-of-00017.bin: 46%|████▌ | 1.86G/4.04G [00:05<00:02, 758MB/s] pytorch_model-00008-of-00017.bin: 49%|████▉ | 1.97G/4.04G [00:05<00:02, 803MB/s] pytorch_model-00008-of-00017.bin: 55%|█████▍ | 2.22G/4.04G [00:05<00:01, 1.14GB/s] pytorch_model-00008-of-00017.bin: 64%|██████▍ | 2.59G/4.04G [00:05<00:00, 1.50GB/s] pytorch_model-00008-of-00017.bin: 68%|██████▊ | 2.77G/4.04G [00:06<00:01, 945MB/s] pytorch_model-00008-of-00017.bin: 72%|███████▏ | 2.92G/4.04G [00:06<00:01, 909MB/s] pytorch_model-00008-of-00017.bin: 75%|███████▌ | 3.04G/4.04G [00:06<00:01, 862MB/s] pytorch_model-00008-of-00017.bin: 79%|███████▊ | 3.18G/4.04G [00:06<00:00, 939MB/s] pytorch_model-00008-of-00017.bin: 82%|████████▏ | 3.33G/4.04G [00:06<00:00, 1.03GB/s] pytorch_model-00008-of-00017.bin: 87%|████████▋ | 3.53G/4.04G [00:06<00:00, 1.20GB/s] pytorch_model-00008-of-00017.bin: 91%|█████████ | 3.67G/4.04G [00:07<00:00, 1.23GB/s] pytorch_model-00008-of-00017.bin: 95%|█████████▍| 3.82G/4.04G [00:07<00:00, 1.29GB/s] pytorch_model-00008-of-00017.bin: 100%|█████████▉| 4.03G/4.04G [00:07<00:00, 1.43GB/s] pytorch_model-00008-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 550MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00009-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00009-of-00017.bin: 0%| | 10.5M/4.04G [00:02<15:36, 4.31MB/s] pytorch_model-00009-of-00017.bin: 1%| | 21.0M/4.04G [00:02<07:02, 9.51MB/s] pytorch_model-00009-of-00017.bin: 1%| | 41.9M/4.04G [00:02<02:55, 22.8MB/s] pytorch_model-00009-of-00017.bin: 1%|▏ | 52.4M/4.04G [00:02<02:22, 27.9MB/s] pytorch_model-00009-of-00017.bin: 2%|▏ | 94.4M/4.04G [00:03<00:59, 65.9MB/s] pytorch_model-00009-of-00017.bin: 6%|▋ | 262M/4.04G [00:03<00:15, 240MB/s] pytorch_model-00009-of-00017.bin: 8%|▊ | 304M/4.04G [00:03<00:18, 205MB/s] pytorch_model-00009-of-00017.bin: 17%|█▋ | 692M/4.04G [00:03<00:04, 693MB/s] pytorch_model-00009-of-00017.bin: 28%|██▊ | 1.14G/4.04G [00:03<00:02, 1.24GB/s] pytorch_model-00009-of-00017.bin: 33%|███▎ | 1.35G/4.04G [00:04<00:03, 721MB/s] pytorch_model-00009-of-00017.bin: 37%|███▋ | 1.51G/4.04G [00:04<00:03, 733MB/s] pytorch_model-00009-of-00017.bin: 41%|████ | 1.65G/4.04G [00:04<00:03, 772MB/s] pytorch_model-00009-of-00017.bin: 44%|████▍ | 1.77G/4.04G [00:05<00:03, 581MB/s] pytorch_model-00009-of-00017.bin: 46%|████▌ | 1.87G/4.04G [00:05<00:03, 591MB/s] pytorch_model-00009-of-00017.bin: 49%|████▊ | 1.96G/4.04G [00:05<00:03, 618MB/s] pytorch_model-00009-of-00017.bin: 51%|█████ | 2.04G/4.04G [00:05<00:03, 603MB/s] pytorch_model-00009-of-00017.bin: 53%|█████▎ | 2.13G/4.04G [00:05<00:03, 597MB/s] pytorch_model-00009-of-00017.bin: 56%|█████▋ | 2.28G/4.04G [00:05<00:02, 763MB/s] pytorch_model-00009-of-00017.bin: 70%|██████▉ | 2.81G/4.04G [00:05<00:00, 1.74GB/s] pytorch_model-00009-of-00017.bin: 75%|███████▍ | 3.03G/4.04G [00:06<00:00, 1.37GB/s] pytorch_model-00009-of-00017.bin: 80%|███████▉ | 3.22G/4.04G [00:06<00:00, 1.23GB/s] pytorch_model-00009-of-00017.bin: 84%|████████▎ | 3.38G/4.04G [00:06<00:00, 1.17GB/s] pytorch_model-00009-of-00017.bin: 87%|████████▋ | 3.52G/4.04G [00:06<00:00, 1.04GB/s] pytorch_model-00009-of-00017.bin: 92%|█████████▏| 3.73G/4.04G [00:06<00:00, 1.23GB/s] pytorch_model-00009-of-00017.bin: 99%|█████████▊| 3.99G/4.04G [00:07<00:00, 1.42GB/s] pytorch_model-00009-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 554MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00010-of-00017.bin: 0%| | 0.00/4.01G [00:00<?, ?B/s] pytorch_model-00010-of-00017.bin: 0%| | 10.5M/4.01G [00:01<10:40, 6.26MB/s] pytorch_model-00010-of-00017.bin: 1%| | 21.0M/4.01G [00:02<08:07, 8.19MB/s] pytorch_model-00010-of-00017.bin: 1%| | 31.5M/4.01G [00:03<05:55, 11.2MB/s] pytorch_model-00010-of-00017.bin: 2%|▏ | 62.9M/4.01G [00:03<02:10, 30.3MB/s] pytorch_model-00010-of-00017.bin: 3%|▎ | 115M/4.01G [00:03<00:56, 68.7MB/s] pytorch_model-00010-of-00017.bin: 5%|▍ | 189M/4.01G [00:03<00:28, 134MB/s] pytorch_model-00010-of-00017.bin: 6%|▌ | 231M/4.01G [00:03<00:24, 153MB/s] pytorch_model-00010-of-00017.bin: 7%|▋ | 283M/4.01G [00:03<00:18, 197MB/s] pytorch_model-00010-of-00017.bin: 15%|█▍ | 587M/4.01G [00:04<00:05, 650MB/s] pytorch_model-00010-of-00017.bin: 30%|██▉ | 1.20G/4.01G [00:04<00:01, 1.57GB/s] pytorch_model-00010-of-00017.bin: 36%|███▌ | 1.43G/4.01G [00:05<00:04, 645MB/s] pytorch_model-00010-of-00017.bin: 40%|███▉ | 1.59G/4.01G [00:05<00:03, 692MB/s] pytorch_model-00010-of-00017.bin: 44%|████▍ | 1.78G/4.01G [00:05<00:02, 827MB/s] pytorch_model-00010-of-00017.bin: 48%|████▊ | 1.94G/4.01G [00:05<00:03, 613MB/s] pytorch_model-00010-of-00017.bin: 52%|█████▏ | 2.08G/4.01G [00:05<00:02, 686MB/s] pytorch_model-00010-of-00017.bin: 55%|█████▍ | 2.20G/4.01G [00:06<00:02, 700MB/s] pytorch_model-00010-of-00017.bin: 64%|██████▍ | 2.57G/4.01G [00:06<00:01, 1.14GB/s] pytorch_model-00010-of-00017.bin: 68%|██████▊ | 2.75G/4.01G [00:06<00:01, 1.15GB/s] pytorch_model-00010-of-00017.bin: 72%|███████▏ | 2.90G/4.01G [00:06<00:00, 1.12GB/s] pytorch_model-00010-of-00017.bin: 77%|███████▋ | 3.08G/4.01G [00:06<00:00, 1.23GB/s] pytorch_model-00010-of-00017.bin: 81%|████████ | 3.24G/4.01G [00:06<00:00, 1.23GB/s] pytorch_model-00010-of-00017.bin: 84%|████████▍ | 3.39G/4.01G [00:06<00:00, 1.17GB/s] pytorch_model-00010-of-00017.bin: 88%|████████▊ | 3.52G/4.01G [00:07<00:00, 1.20GB/s] pytorch_model-00010-of-00017.bin: 91%|█████████ | 3.66G/4.01G [00:07<00:00, 1.24GB/s] pytorch_model-00010-of-00017.bin: 95%|█████████▍| 3.80G/4.01G [00:07<00:00, 1.08GB/s] pytorch_model-00010-of-00017.bin: 98%|█████████▊| 3.92G/4.01G [00:07<00:00, 1.06GB/s] pytorch_model-00010-of-00017.bin: 100%|█████████▉| 4.01G/4.01G [00:07<00:00, 531MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00011-of-00017.bin: 0%| | 0.00/3.95G [00:00<?, ?B/s] pytorch_model-00011-of-00017.bin: 0%| | 10.5M/3.95G [00:02<17:07, 3.84MB/s] pytorch_model-00011-of-00017.bin: 1%| | 41.9M/3.95G [00:02<03:39, 17.9MB/s] pytorch_model-00011-of-00017.bin: 2%|▏ | 73.4M/3.95G [00:03<01:48, 35.9MB/s] pytorch_model-00011-of-00017.bin: 3%|▎ | 126M/3.95G [00:03<00:51, 74.2MB/s] pytorch_model-00011-of-00017.bin: 6%|▋ | 252M/3.95G [00:03<00:19, 193MB/s] pytorch_model-00011-of-00017.bin: 8%|▊ | 315M/3.95G [00:03<00:16, 222MB/s] pytorch_model-00011-of-00017.bin: 9%|▉ | 367M/3.95G [00:03<00:13, 263MB/s] pytorch_model-00011-of-00017.bin: 11%|█ | 440M/3.95G [00:03<00:10, 335MB/s] pytorch_model-00011-of-00017.bin: 23%|██▎ | 912M/3.95G [00:03<00:02, 1.16GB/s] pytorch_model-00011-of-00017.bin: 28%|██▊ | 1.10G/3.95G [00:03<00:02, 1.28GB/s] pytorch_model-00011-of-00017.bin: 33%|███▎ | 1.29G/3.95G [00:04<00:04, 540MB/s] pytorch_model-00011-of-00017.bin: 36%|███▌ | 1.43G/3.95G [00:04<00:04, 586MB/s] pytorch_model-00011-of-00017.bin: 40%|███▉ | 1.56G/3.95G [00:05<00:03, 676MB/s] pytorch_model-00011-of-00017.bin: 43%|████▎ | 1.69G/3.95G [00:05<00:03, 686MB/s] pytorch_model-00011-of-00017.bin: 45%|████▌ | 1.79G/3.95G [00:05<00:03, 615MB/s] pytorch_model-00011-of-00017.bin: 48%|████▊ | 1.89G/3.95G [00:05<00:03, 649MB/s] pytorch_model-00011-of-00017.bin: 50%|█████ | 1.98G/3.95G [00:05<00:03, 612MB/s] pytorch_model-00011-of-00017.bin: 53%|█████▎ | 2.10G/3.95G [00:05<00:02, 699MB/s] pytorch_model-00011-of-00017.bin: 55%|█████▌ | 2.18G/3.95G [00:05<00:02, 697MB/s] pytorch_model-00011-of-00017.bin: 62%|██████▏ | 2.45G/3.95G [00:06<00:01, 1.14GB/s] pytorch_model-00011-of-00017.bin: 66%|██████▌ | 2.61G/3.95G [00:06<00:01, 1.23GB/s] pytorch_model-00011-of-00017.bin: 75%|███████▍ | 2.95G/3.95G [00:06<00:00, 1.76GB/s] pytorch_model-00011-of-00017.bin: 80%|███████▉ | 3.15G/3.95G [00:06<00:00, 1.35GB/s] pytorch_model-00011-of-00017.bin: 84%|████████▍ | 3.31G/3.95G [00:06<00:00, 1.22GB/s] pytorch_model-00011-of-00017.bin: 88%|████████▊ | 3.46G/3.95G [00:06<00:00, 1.12GB/s] pytorch_model-00011-of-00017.bin: 91%|█████████ | 3.60G/3.95G [00:07<00:00, 1.05GB/s] pytorch_model-00011-of-00017.bin: 96%|█████████▌| 3.80G/3.95G [00:07<00:00, 1.24GB/s] pytorch_model-00011-of-00017.bin: 100%|█████████▉| 3.94G/3.95G [00:07<00:00, 1.23GB/s] pytorch_model-00011-of-00017.bin: 100%|█████████▉| 3.95G/3.95G [00:07<00:00, 530MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00012-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00012-of-00017.bin: 0%| | 10.5M/4.04G [00:02<17:33, 3.83MB/s] pytorch_model-00012-of-00017.bin: 1%| | 31.5M/4.04G [00:03<05:26, 12.3MB/s] pytorch_model-00012-of-00017.bin: 2%|▏ | 62.9M/4.04G [00:03<02:14, 29.7MB/s] pytorch_model-00012-of-00017.bin: 3%|▎ | 115M/4.04G [00:03<00:59, 66.5MB/s] pytorch_model-00012-of-00017.bin: 6%|▌ | 241M/4.04G [00:03<00:21, 179MB/s] pytorch_model-00012-of-00017.bin: 8%|▊ | 304M/4.04G [00:03<00:19, 194MB/s] pytorch_model-00012-of-00017.bin: 10%|▉ | 398M/4.04G [00:03<00:12, 288MB/s] pytorch_model-00012-of-00017.bin: 17%|█▋ | 692M/4.04G [00:03<00:04, 686MB/s] pytorch_model-00012-of-00017.bin: 28%|██▊ | 1.12G/4.04G [00:04<00:02, 1.32GB/s] pytorch_model-00012-of-00017.bin: 33%|███▎ | 1.35G/4.04G [00:04<00:04, 656MB/s] pytorch_model-00012-of-00017.bin: 38%|███▊ | 1.53G/4.04G [00:04<00:03, 779MB/s] pytorch_model-00012-of-00017.bin: 42%|████▏ | 1.70G/4.04G [00:05<00:03, 706MB/s] pytorch_model-00012-of-00017.bin: 45%|████▌ | 1.84G/4.04G [00:05<00:03, 574MB/s] pytorch_model-00012-of-00017.bin: 48%|████▊ | 1.94G/4.04G [00:05<00:03, 599MB/s] pytorch_model-00012-of-00017.bin: 52%|█████▏ | 2.10G/4.04G [00:05<00:02, 731MB/s] pytorch_model-00012-of-00017.bin: 56%|█████▌ | 2.25G/4.04G [00:05<00:02, 858MB/s] pytorch_model-00012-of-00017.bin: 59%|█████▉ | 2.38G/4.04G [00:06<00:01, 840MB/s] pytorch_model-00012-of-00017.bin: 62%|██████▏ | 2.50G/4.04G [00:06<00:01, 790MB/s] pytorch_model-00012-of-00017.bin: 68%|██████▊ | 2.74G/4.04G [00:06<00:01, 1.11GB/s] pytorch_model-00012-of-00017.bin: 74%|███████▍ | 3.01G/4.04G [00:06<00:00, 1.46GB/s] pytorch_model-00012-of-00017.bin: 79%|███████▉ | 3.20G/4.04G [00:06<00:00, 1.50GB/s] pytorch_model-00012-of-00017.bin: 84%|████████▎ | 3.38G/4.04G [00:06<00:00, 1.33GB/s] pytorch_model-00012-of-00017.bin: 87%|████████▋ | 3.53G/4.04G [00:06<00:00, 1.32GB/s] pytorch_model-00012-of-00017.bin: 92%|█████████▏| 3.72G/4.04G [00:07<00:00, 1.41GB/s] pytorch_model-00012-of-00017.bin: 96%|█████████▌| 3.88G/4.04G [00:07<00:00, 1.43GB/s] pytorch_model-00012-of-00017.bin: 100%|█████████▉| 4.03G/4.04G [00:07<00:00, 1.14GB/s] pytorch_model-00012-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 543MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00013-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00013-of-00017.bin: 0%| | 10.5M/4.04G [00:01<12:01, 5.59MB/s] pytorch_model-00013-of-00017.bin: 1%| | 21.0M/4.04G [00:02<05:45, 11.7MB/s] pytorch_model-00013-of-00017.bin: 1%| | 31.5M/4.04G [00:02<03:36, 18.5MB/s] pytorch_model-00013-of-00017.bin: 1%| | 41.9M/4.04G [00:02<02:28, 26.9MB/s] pytorch_model-00013-of-00017.bin: 1%|▏ | 52.4M/4.04G [00:02<01:54, 34.9MB/s] pytorch_model-00013-of-00017.bin: 2%|▏ | 62.9M/4.04G [00:02<01:35, 41.6MB/s] pytorch_model-00013-of-00017.bin: 2%|▏ | 73.4M/4.04G [00:02<01:37, 40.8MB/s] pytorch_model-00013-of-00017.bin: 4%|▎ | 147M/4.04G [00:03<00:26, 145MB/s] pytorch_model-00013-of-00017.bin: 6%|▌ | 231M/4.04G [00:03<00:18, 212MB/s] pytorch_model-00013-of-00017.bin: 8%|▊ | 304M/4.04G [00:03<00:12, 290MB/s] pytorch_model-00013-of-00017.bin: 10%|▉ | 388M/4.04G [00:03<00:09, 386MB/s] pytorch_model-00013-of-00017.bin: 19%|█▉ | 776M/4.04G [00:03<00:02, 1.11GB/s] pytorch_model-00013-of-00017.bin: 30%|███ | 1.22G/4.04G [00:03<00:01, 1.78GB/s] pytorch_model-00013-of-00017.bin: 36%|███▌ | 1.44G/4.04G [00:04<00:03, 666MB/s] pytorch_model-00013-of-00017.bin: 40%|███▉ | 1.60G/4.04G [00:04<00:03, 742MB/s] pytorch_model-00013-of-00017.bin: 45%|████▌ | 1.82G/4.04G [00:04<00:02, 904MB/s] pytorch_model-00013-of-00017.bin: 49%|████▉ | 1.98G/4.04G [00:05<00:02, 836MB/s] pytorch_model-00013-of-00017.bin: 57%|█████▋ | 2.30G/4.04G [00:05<00:01, 1.18GB/s] pytorch_model-00013-of-00017.bin: 64%|██████▍ | 2.59G/4.04G [00:05<00:01, 1.40GB/s] pytorch_model-00013-of-00017.bin: 69%|██████▉ | 2.79G/4.04G [00:05<00:01, 1.16GB/s] pytorch_model-00013-of-00017.bin: 73%|███████▎ | 2.95G/4.04G [00:05<00:01, 1.04GB/s] pytorch_model-00013-of-00017.bin: 76%|███████▋ | 3.08G/4.04G [00:05<00:00, 998MB/s] pytorch_model-00013-of-00017.bin: 79%|███████▉ | 3.21G/4.04G [00:06<00:00, 891MB/s] pytorch_model-00013-of-00017.bin: 85%|████████▌ | 3.44G/4.04G [00:06<00:00, 1.14GB/s] pytorch_model-00013-of-00017.bin: 90%|████████▉ | 3.62G/4.04G [00:06<00:00, 1.22GB/s] pytorch_model-00013-of-00017.bin: 98%|█████████▊| 3.97G/4.04G [00:06<00:00, 1.64GB/s] pytorch_model-00013-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 574MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00014-of-00017.bin: 0%| | 0.00/4.01G [00:00<?, ?B/s] pytorch_model-00014-of-00017.bin: 0%| | 10.5M/4.01G [00:01<10:53, 6.12MB/s] pytorch_model-00014-of-00017.bin: 1%| | 21.0M/4.01G [00:02<07:35, 8.78MB/s] pytorch_model-00014-of-00017.bin: 1%| | 31.5M/4.01G [00:02<05:06, 13.0MB/s] pytorch_model-00014-of-00017.bin: 2%|▏ | 83.9M/4.01G [00:02<01:16, 51.1MB/s] pytorch_model-00014-of-00017.bin: 4%|▎ | 147M/4.01G [00:03<00:36, 106MB/s] pytorch_model-00014-of-00017.bin: 6%|▌ | 241M/4.01G [00:03<00:18, 205MB/s] pytorch_model-00014-of-00017.bin: 8%|▊ | 304M/4.01G [00:03<00:15, 244MB/s] pytorch_model-00014-of-00017.bin: 10%|▉ | 398M/4.01G [00:03<00:10, 341MB/s] pytorch_model-00014-of-00017.bin: 15%|█▍ | 587M/4.01G [00:03<00:05, 619MB/s] pytorch_model-00014-of-00017.bin: 27%|██▋ | 1.10G/4.01G [00:03<00:01, 1.52GB/s] pytorch_model-00014-of-00017.bin: 33%|███▎ | 1.32G/4.01G [00:04<00:04, 548MB/s] pytorch_model-00014-of-00017.bin: 37%|███▋ | 1.49G/4.01G [00:04<00:04, 609MB/s] pytorch_model-00014-of-00017.bin: 41%|████ | 1.64G/4.01G [00:05<00:03, 651MB/s] pytorch_model-00014-of-00017.bin: 44%|████▍ | 1.76G/4.01G [00:05<00:04, 543MB/s] pytorch_model-00014-of-00017.bin: 47%|████▋ | 1.89G/4.01G [00:05<00:03, 625MB/s] pytorch_model-00014-of-00017.bin: 50%|████▉ | 1.99G/4.01G [00:05<00:02, 683MB/s] pytorch_model-00014-of-00017.bin: 52%|█████▏ | 2.11G/4.01G [00:05<00:02, 751MB/s] pytorch_model-00014-of-00017.bin: 60%|█████▉ | 2.40G/4.01G [00:05<00:01, 1.16GB/s] pytorch_model-00014-of-00017.bin: 64%|██████▎ | 2.56G/4.01G [00:06<00:01, 1.15GB/s] pytorch_model-00014-of-00017.bin: 67%|██████▋ | 2.71G/4.01G [00:06<00:01, 1.15GB/s] pytorch_model-00014-of-00017.bin: 71%|███████▏ | 2.86G/4.01G [00:06<00:00, 1.20GB/s] pytorch_model-00014-of-00017.bin: 75%|███████▍ | 3.00G/4.01G [00:06<00:00, 1.02GB/s] pytorch_model-00014-of-00017.bin: 78%|███████▊ | 3.12G/4.01G [00:06<00:00, 1.03GB/s] pytorch_model-00014-of-00017.bin: 82%|████████▏ | 3.28G/4.01G [00:06<00:00, 1.15GB/s] pytorch_model-00014-of-00017.bin: 86%|████████▋ | 3.47G/4.01G [00:06<00:00, 1.27GB/s] pytorch_model-00014-of-00017.bin: 90%|████████▉ | 3.61G/4.01G [00:06<00:00, 1.27GB/s] pytorch_model-00014-of-00017.bin: 96%|█████████▋| 3.87G/4.01G [00:07<00:00, 1.59GB/s] pytorch_model-00014-of-00017.bin: 100%|█████████▉| 4.01G/4.01G [00:07<00:00, 524MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00015-of-00017.bin: 0%| | 0.00/3.95G [00:00<?, ?B/s] pytorch_model-00015-of-00017.bin: 0%| | 10.5M/3.95G [00:02<12:41, 5.18MB/s] pytorch_model-00015-of-00017.bin: 1%| | 41.9M/3.95G [00:02<03:06, 20.9MB/s] pytorch_model-00015-of-00017.bin: 1%|▏ | 52.4M/3.95G [00:02<02:58, 21.9MB/s] pytorch_model-00015-of-00017.bin: 2%|▏ | 73.4M/3.95G [00:02<01:47, 36.0MB/s] pytorch_model-00015-of-00017.bin: 4%|▎ | 147M/3.95G [00:03<00:36, 103MB/s] pytorch_model-00015-of-00017.bin: 6%|▌ | 220M/3.95G [00:03<00:20, 178MB/s] pytorch_model-00015-of-00017.bin: 7%|▋ | 273M/3.95G [00:03<00:19, 193MB/s] pytorch_model-00015-of-00017.bin: 9%|▉ | 357M/3.95G [00:03<00:12, 288MB/s] pytorch_model-00015-of-00017.bin: 14%|█▍ | 566M/3.95G [00:03<00:05, 600MB/s] pytorch_model-00015-of-00017.bin: 28%|██▊ | 1.10G/3.95G [00:03<00:01, 1.54GB/s] pytorch_model-00015-of-00017.bin: 34%|███▍ | 1.34G/3.95G [00:04<00:03, 690MB/s] pytorch_model-00015-of-00017.bin: 38%|███▊ | 1.52G/3.95G [00:04<00:04, 585MB/s] pytorch_model-00015-of-00017.bin: 42%|████▏ | 1.66G/3.95G [00:05<00:03, 621MB/s] pytorch_model-00015-of-00017.bin: 45%|████▍ | 1.77G/3.95G [00:05<00:03, 611MB/s] pytorch_model-00015-of-00017.bin: 47%|████▋ | 1.88G/3.95G [00:05<00:03, 583MB/s] pytorch_model-00015-of-00017.bin: 54%|█████▍ | 2.13G/3.95G [00:05<00:02, 851MB/s] pytorch_model-00015-of-00017.bin: 63%|██████▎ | 2.49G/3.95G [00:05<00:01, 1.30GB/s] pytorch_model-00015-of-00017.bin: 71%|███████ | 2.79G/3.95G [00:05<00:00, 1.62GB/s] pytorch_model-00015-of-00017.bin: 76%|███████▋ | 3.02G/3.95G [00:06<00:01, 676MB/s] pytorch_model-00015-of-00017.bin: 81%|████████ | 3.19G/3.95G [00:06<00:01, 761MB/s] pytorch_model-00015-of-00017.bin: 85%|████████▍ | 3.35G/3.95G [00:07<00:00, 708MB/s] pytorch_model-00015-of-00017.bin: 88%|████████▊ | 3.48G/3.95G [00:07<00:00, 667MB/s] pytorch_model-00015-of-00017.bin: 91%|█████████ | 3.60G/3.95G [00:07<00:00, 732MB/s] pytorch_model-00015-of-00017.bin: 94%|█████████▍| 3.71G/3.95G [00:07<00:00, 798MB/s] pytorch_model-00015-of-00017.bin: 100%|█████████▉| 3.95G/3.95G [00:07<00:00, 514MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00016-of-00017.bin: 0%| | 0.00/4.04G [00:00<?, ?B/s] pytorch_model-00016-of-00017.bin: 0%| | 10.5M/4.04G [00:02<13:51, 4.85MB/s] pytorch_model-00016-of-00017.bin: 1%| | 21.0M/4.04G [00:02<07:27, 8.99MB/s] pytorch_model-00016-of-00017.bin: 1%| | 31.5M/4.04G [00:02<04:51, 13.8MB/s] pytorch_model-00016-of-00017.bin: 1%|▏ | 52.4M/4.04G [00:03<02:20, 28.5MB/s] pytorch_model-00016-of-00017.bin: 4%|▍ | 157M/4.04G [00:03<00:30, 129MB/s] pytorch_model-00016-of-00017.bin: 6%|▌ | 241M/4.04G [00:03<00:21, 178MB/s] pytorch_model-00016-of-00017.bin: 7%|▋ | 294M/4.04G [00:03<00:16, 221MB/s] pytorch_model-00016-of-00017.bin: 9%|▉ | 357M/4.04G [00:03<00:13, 280MB/s] pytorch_model-00016-of-00017.bin: 13%|█▎ | 524M/4.04G [00:03<00:06, 514MB/s] pytorch_model-00016-of-00017.bin: 28%|██▊ | 1.13G/4.04G [00:03<00:02, 1.45GB/s] pytorch_model-00016-of-00017.bin: 32%|███▏ | 1.31G/4.04G [00:04<00:04, 633MB/s] pytorch_model-00016-of-00017.bin: 36%|███▌ | 1.45G/4.04G [00:05<00:04, 558MB/s] pytorch_model-00016-of-00017.bin: 38%|███▊ | 1.55G/4.04G [00:05<00:04, 576MB/s] pytorch_model-00016-of-00017.bin: 41%|████ | 1.67G/4.04G [00:05<00:03, 645MB/s] pytorch_model-00016-of-00017.bin: 44%|████▍ | 1.77G/4.04G [00:05<00:03, 615MB/s] pytorch_model-00016-of-00017.bin: 47%|████▋ | 1.89G/4.04G [00:05<00:03, 683MB/s] pytorch_model-00016-of-00017.bin: 51%|█████ | 2.04G/4.04G [00:05<00:02, 840MB/s] pytorch_model-00016-of-00017.bin: 61%|██████ | 2.47G/4.04G [00:05<00:01, 1.53GB/s] pytorch_model-00016-of-00017.bin: 66%|██████▌ | 2.67G/4.04G [00:05<00:00, 1.53GB/s] pytorch_model-00016-of-00017.bin: 71%|███████ | 2.86G/4.04G [00:06<00:01, 1.01GB/s] pytorch_model-00016-of-00017.bin: 74%|███████▍ | 3.01G/4.04G [00:06<00:01, 863MB/s] pytorch_model-00016-of-00017.bin: 78%|███████▊ | 3.14G/4.04G [00:06<00:01, 737MB/s] pytorch_model-00016-of-00017.bin: 81%|████████▏ | 3.29G/4.04G [00:06<00:00, 864MB/s] pytorch_model-00016-of-00017.bin: 86%|████████▌ | 3.47G/4.04G [00:07<00:00, 1.03GB/s] pytorch_model-00016-of-00017.bin: 89%|████████▉ | 3.61G/4.04G [00:07<00:00, 998MB/s] pytorch_model-00016-of-00017.bin: 93%|█████████▎| 3.77G/4.04G [00:07<00:00, 1.12GB/s] pytorch_model-00016-of-00017.bin: 100%|█████████▉| 4.04G/4.04G [00:07<00:00, 543MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model-00017-of-00017.bin: 0%| | 0.00/903M [00:00<?, ?B/s] pytorch_model-00017-of-00017.bin: 0%| | 1.35M/903M [00:00<10:46, 1.40MB/s] pytorch_model-00017-of-00017.bin: 1%|▏ | 11.8M/903M [00:01<01:58, 7.54MB/s] pytorch_model-00017-of-00017.bin: 2%|▏ | 22.3M/903M [00:01<00:56, 15.5MB/s] pytorch_model-00017-of-00017.bin: 5%|▍ | 43.3M/903M [00:02<00:27, 31.8MB/s] pytorch_model-00017-of-00017.bin: 8%|▊ | 74.8M/903M [00:02<00:15, 54.7MB/s] pytorch_model-00017-of-00017.bin: 11%|█ | 95.7M/903M [00:02<00:10, 73.6MB/s] pytorch_model-00017-of-00017.bin: 28%|██▊ | 253M/903M [00:02<00:02, 287MB/s] pytorch_model-00017-of-00017.bin: 34%|███▍ | 305M/903M [00:02<00:02, 294MB/s] pytorch_model-00017-of-00017.bin: 47%|████▋ | 421M/903M [00:02<00:01, 447MB/s] pytorch_model-00017-of-00017.bin: 100%|█████████▉| 903M/903M [00:03<00:00, 293MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model.bin.index.json: 0%| | 0.00/50.1k [00:00<?, ?B/s] pytorch_model.bin.index.json: 100%|██████████| 50.1k/50.1k [00:00<00:00, 90.1MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/411 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 411/411 [00:00<00:00, 6.60MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 16.9MB/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 16.8MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 12.0MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/700 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 700/700 [00:00<00:00, 10.9MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: Downloaded to shared memory in 131.205s
pocketdoc-dans-personali-1885-v1-mkmlizer: quantizing model to /dev/shm/model_cache
pocketdoc-dans-personali-1885-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
pocketdoc-dans-personali-1885-v1-mkmlizer: Reading /tmp/tmpkp8_991o/pytorch_model.bin.index.json
pocketdoc-dans-personali-1885-v1-mkmlizer: Profiling: 0%| | 0/543 [00:00<?, ?it/s] Profiling: 0%| | 1/543 [00:02<25:20, 2.81s/it] Profiling: 6%|▌ | 33/543 [00:03<00:42, 11.92it/s] Profiling: 12%|█▏ | 66/543 [00:04<00:22, 20.99it/s] Profiling: 18%|█▊ | 98/543 [00:05<00:16, 27.05it/s] Profiling: 24%|██▍ | 133/543 [00:05<00:12, 32.79it/s] Profiling: 31%|███ | 168/543 [00:06<00:10, 37.14it/s] Profiling: 37%|███▋ | 201/543 [00:07<00:08, 39.25it/s] Profiling: 43%|████▎ | 233/543 [00:08<00:07, 39.86it/s] Profiling: 49%|████▉ | 268/543 [00:08<00:06, 41.87it/s] Profiling: 56%|█████▌ | 303/543 [00:09<00:05, 43.22it/s] Profiling: 62%|██████▏ | 336/543 [00:10<00:04, 43.26it/s] Profiling: 68%|██████▊ | 368/543 [00:11<00:04, 43.28it/s] Profiling: 74%|███████▍ | 403/543 [00:11<00:03, 44.39it/s] Profiling: 81%|████████ | 438/543 [00:12<00:02, 45.36it/s] Profiling: 87%|████████▋ | 471/543 [00:13<00:01, 44.88it/s] Profiling: 93%|█████████▎| 503/543 [00:14<00:00, 44.36it/s] Profiling: 99%|█████████▉| 538/543 [00:14<00:00, 57.72it/s] Profiling: 100%|██████████| 543/543 [00:16<00:00, 33.00it/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: quantized model in 68.282s
pocketdoc-dans-personali-1885-v1-mkmlizer: Processed model PocketDoc/Dans-PersonalityEngine-30b in 205.784s
pocketdoc-dans-personali-1885-v1-mkmlizer: creating bucket guanaco-mkml-models
pocketdoc-dans-personali-1885-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
pocketdoc-dans-personali-1885-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/config.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/special_tokens_map.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/tokenizer_config.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/tokenizer.model
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/tokenizer.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/pocketdoc-dans-personali-1885-v1/mkml_model.tensors
pocketdoc-dans-personali-1885-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
pocketdoc-dans-personali-1885-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.
pocketdoc-dans-personali-1885-v1-mkmlizer: warnings.warn(
pocketdoc-dans-personali-1885-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.0MB/s]
pocketdoc-dans-personali-1885-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.
pocketdoc-dans-personali-1885-v1-mkmlizer: warnings.warn(
pocketdoc-dans-personali-1885-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.87MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 31.0MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 47.1MB/s]
pocketdoc-dans-personali-1885-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.
pocketdoc-dans-personali-1885-v1-mkmlizer: warnings.warn(
pocketdoc-dans-personali-1885-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:25, 57.2MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:05, 267MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:06, 215MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:03, 322MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:06, 179MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:01<00:06, 187MB/s] pytorch_model.bin: 31%|███ | 451M/1.44G [00:01<00:02, 454MB/s] pytorch_model.bin: 77%|███████▋ | 1.11G/1.44G [00:01<00:00, 1.64GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 844MB/s]
pocketdoc-dans-personali-1885-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
pocketdoc-dans-personali-1885-v1-mkmlizer: Saving duration: 0.328s
pocketdoc-dans-personali-1885-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.860s
pocketdoc-dans-personali-1885-v1-mkmlizer: creating bucket guanaco-reward-models
pocketdoc-dans-personali-1885-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
pocketdoc-dans-personali-1885-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/special_tokens_map.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/tokenizer_config.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/merges.txt
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/vocab.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/config.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/tokenizer.json
pocketdoc-dans-personali-1885-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/pocketdoc-dans-personali-1885-v1_reward/reward.tensors
Job pocketdoc-dans-personali-1885-v1-mkmlizer completed after 263.31s with status: succeeded
Stopping job with name pocketdoc-dans-personali-1885-v1-mkmlizer
Pipeline stage MKMLizer completed in 267.58s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service pocketdoc-dans-personali-1885-v1
Waiting for inference service pocketdoc-dans-personali-1885-v1 to be ready
Inference service pocketdoc-dans-personali-1885-v1 ready after 81.03337621688843s
Pipeline stage ISVCDeployer completed in 88.53s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.50746750831604s
Received healthy response to inference request in 2.8307178020477295s
Received healthy response to inference request in 2.52962589263916s
Received healthy response to inference request in 3.4161949157714844s
Received healthy response to inference request in 3.4281535148620605s
5 requests
0 failed requests
5th percentile: 2.5118991851806642
10th percentile: 2.516330862045288
20th percentile: 2.525194215774536
30th percentile: 2.589844274520874
40th percentile: 2.7102810382843017
50th percentile: 2.8307178020477295
60th percentile: 3.0649086475372314
70th percentile: 3.299099493026733
80th percentile: 3.4185866355895995
90th percentile: 3.4233700752258303
95th percentile: 3.4257617950439454
99th percentile: 3.4276751708984374
mean time: 2.942431926727295
Pipeline stage StressChecker completed in 15.76s
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 0.06s
M-Eval Dataset for topic stay_in_character is loaded
pocketdoc-dans-personali_1885_v1 status is now deployed due to DeploymentManager action
pocketdoc-dans-personali_1885_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of pocketdoc-dans-personali_1885_v1
Running pipeline stage ISVCDeleter
Checking if service pocketdoc-dans-personali-1885-v1 is running
Tearing down inference service pocketdoc-dans-personali-1885-v1
Toredown service pocketdoc-dans-personali-1885-v1
Pipeline stage ISVCDeleter completed in 3.58s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key pocketdoc-dans-personali-1885-v1/config.json from bucket guanaco-mkml-models
Deleting key pocketdoc-dans-personali-1885-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key pocketdoc-dans-personali-1885-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key pocketdoc-dans-personali-1885-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key pocketdoc-dans-personali-1885-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key pocketdoc-dans-personali-1885-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key pocketdoc-dans-personali-1885-v1_reward/config.json from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key pocketdoc-dans-personali-1885-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.15s
pocketdoc-dans-personali_1885_v1 status is now torndown due to DeploymentManager action