submission_id: severian-nexus-ikm-rolep_5578_v3
developer_uid: chai_backend_admin
status: inactive
model_repo: Severian/Nexus-IKM-RolePlay-StoryWriter-Hermes-2-Pro-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
timestamp: 2024-04-02T15:30:42+00:00
model_name: auto_submit_ricum_soyijasupe
model_eval_status: success
safety_score: 0.96
entertaining: 6.8
stay_in_character: 8.52
user_preference: 7.34
double_thumbs_up: 259
thumbs_up: 396
thumbs_down: 244
num_battles: 25108
num_wins: 10643
win_ratio: 0.4238888003823483
celo_rating: 1100.5
Resubmit model
Running pipeline stage MKMLizer
Starting job with name severian-nexus-ikm-rolep-5578-v3-mkmlizer
Waiting for job on severian-nexus-ikm-rolep-5578-v3-mkmlizer to finish
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ _____ __ __ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ /___/ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ Version: 0.6.11 ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ The license key for the current software has been verified as ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ belonging to: ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ Chai Research Corp. ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ║ ║
severian-nexus-ikm-rolep-5578-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
severian-nexus-ikm-rolep-5578-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.3MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: README.md: 0%| | 0.00/7.58k [00:00<?, ?B/s] README.md: 100%|██████████| 7.58k/7.58k [00:00<00:00, 50.5MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: added_tokens.json: 0%| | 0.00/51.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 51.0/51.0 [00:00<00:00, 422kB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: config.json: 0%| | 0.00/689 [00:00<?, ?B/s] config.json: 100%|██████████| 689/689 [00:00<00:00, 5.75MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: generation_config.json: 0%| | 0.00/136 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 136/136 [00:00<00:00, 2.29MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/4.94G [00:01<09:03, 9.07MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:01<04:45, 17.2MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:01<02:58, 27.5MB/s] model-00001-of-00003.safetensors: 1%| | 52.4M/4.94G [00:01<01:30, 54.1MB/s] model-00001-of-00003.safetensors: 2%|▏ | 94.4M/4.94G [00:01<00:42, 115MB/s] model-00001-of-00003.safetensors: 3%|▎ | 126M/4.94G [00:01<00:41, 117MB/s] model-00001-of-00003.safetensors: 3%|▎ | 168M/4.94G [00:02<00:33, 144MB/s] model-00001-of-00003.safetensors: 4%|▍ | 189M/4.94G [00:02<00:36, 132MB/s] model-00001-of-00003.safetensors: 4%|▍ | 210M/4.94G [00:02<00:34, 137MB/s] model-00001-of-00003.safetensors: 5%|▌ | 262M/4.94G [00:02<00:23, 199MB/s] model-00001-of-00003.safetensors: 6%|▌ | 304M/4.94G [00:02<00:20, 227MB/s] model-00001-of-00003.safetensors: 7%|▋ | 346M/4.94G [00:02<00:17, 257MB/s] model-00001-of-00003.safetensors: 10%|▉ | 482M/4.94G [00:03<00:09, 495MB/s] model-00001-of-00003.safetensors: 14%|█▍ | 692M/4.94G [00:03<00:05, 835MB/s] model-00001-of-00003.safetensors: 17%|█▋ | 839M/4.94G [00:03<00:04, 985MB/s] model-00001-of-00003.safetensors: 25%|██▌ | 1.24G/4.94G [00:03<00:02, 1.70GB/s] model-00001-of-00003.safetensors: 29%|██▉ | 1.43G/4.94G [00:04<00:07, 493MB/s] model-00001-of-00003.safetensors: 32%|███▏ | 1.56G/4.94G [00:04<00:06, 562MB/s] model-00001-of-00003.safetensors: 34%|███▍ | 1.69G/4.94G [00:04<00:06, 511MB/s] model-00001-of-00003.safetensors: 37%|███▋ | 1.81G/4.94G [00:05<00:05, 549MB/s] model-00001-of-00003.safetensors: 39%|███▊ | 1.91G/4.94G [00:05<00:05, 594MB/s] model-00001-of-00003.safetensors: 42%|████▏ | 2.06G/4.94G [00:05<00:04, 710MB/s] model-00001-of-00003.safetensors: 44%|████▍ | 2.19G/4.94G [00:05<00:03, 823MB/s] model-00001-of-00003.safetensors: 47%|████▋ | 2.33G/4.94G [00:05<00:02, 924MB/s] model-00001-of-00003.safetensors: 49%|████▉ | 2.44G/4.94G [00:05<00:02, 935MB/s] model-00001-of-00003.safetensors: 56%|█████▋ | 2.79G/4.94G [00:05<00:01, 1.52GB/s] model-00001-of-00003.safetensors: 60%|██████ | 2.98G/4.94G [00:05<00:01, 1.12GB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.12G/4.94G [00:06<00:02, 640MB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 3.24G/4.94G [00:06<00:03, 536MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 3.33G/4.94G [00:06<00:02, 568MB/s] model-00001-of-00003.safetensors: 69%|██████▉ | 3.42G/4.94G [00:07<00:02, 587MB/s] model-00001-of-00003.safetensors: 71%|███████ | 3.50G/4.94G [00:07<00:02, 590MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 3.62G/4.94G [00:07<00:01, 690MB/s] model-00001-of-00003.safetensors: 78%|███████▊ | 3.86G/4.94G [00:07<00:01, 1.03GB/s] model-00001-of-00003.safetensors: 81%|████████▏ | 4.03G/4.94G [00:07<00:00, 1.07GB/s] model-00001-of-00003.safetensors: 84%|████████▍ | 4.15G/4.94G [00:07<00:00, 797MB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 4.26G/4.94G [00:08<00:01, 631MB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 4.40G/4.94G [00:08<00:00, 759MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.56G/4.94G [00:08<00:00, 870MB/s] model-00001-of-00003.safetensors: 95%|█████████▍| 4.68G/4.94G [00:08<00:00, 942MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:08<00:00, 925MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:08<00:00, 562MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/5.00G [00:01<15:32, 5.35MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/5.00G [00:02<07:10, 11.6MB/s] model-00002-of-00003.safetensors: 1%| | 31.5M/5.00G [00:02<05:22, 15.4MB/s] model-00002-of-00003.safetensors: 1%| | 52.4M/5.00G [00:02<02:38, 31.1MB/s] model-00002-of-00003.safetensors: 1%|▏ | 62.9M/5.00G [00:02<02:13, 37.1MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:02<01:52, 43.9MB/s] model-00002-of-00003.safetensors: 3%|▎ | 136M/5.00G [00:03<00:37, 130MB/s] model-00002-of-00003.safetensors: 5%|▌ | 262M/5.00G [00:03<00:14, 321MB/s] model-00002-of-00003.safetensors: 8%|▊ | 388M/5.00G [00:03<00:09, 493MB/s] model-00002-of-00003.safetensors: 10%|▉ | 482M/5.00G [00:03<00:08, 555MB/s] model-00002-of-00003.safetensors: 20%|█▉ | 996M/5.00G [00:03<00:02, 1.58GB/s] model-00002-of-00003.safetensors: 24%|██▍ | 1.21G/5.00G [00:04<00:06, 577MB/s] model-00002-of-00003.safetensors: 27%|██▋ | 1.36G/5.00G [00:04<00:05, 641MB/s] model-00002-of-00003.safetensors: 30%|██▉ | 1.50G/5.00G [00:04<00:05, 674MB/s] model-00002-of-00003.safetensors: 33%|███▎ | 1.63G/5.00G [00:05<00:05, 621MB/s] model-00002-of-00003.safetensors: 35%|███▌ | 1.75G/5.00G [00:05<00:04, 711MB/s] model-00002-of-00003.safetensors: 37%|███▋ | 1.87G/5.00G [00:05<00:04, 727MB/s] model-00002-of-00003.safetensors: 40%|███▉ | 1.98G/5.00G [00:05<00:03, 804MB/s] model-00002-of-00003.safetensors: 44%|████▍ | 2.19G/5.00G [00:05<00:02, 1.07GB/s] model-00002-of-00003.safetensors: 49%|████▊ | 2.43G/5.00G [00:05<00:01, 1.37GB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 2.64G/5.00G [00:05<00:01, 1.53GB/s] model-00002-of-00003.safetensors: 56%|█████▋ | 2.82G/5.00G [00:06<00:02, 924MB/s] model-00002-of-00003.safetensors: 59%|█████▉ | 2.97G/5.00G [00:06<00:02, 716MB/s] model-00002-of-00003.safetensors: 62%|██████▏ | 3.08G/5.00G [00:06<00:02, 698MB/s] model-00002-of-00003.safetensors: 64%|██████▍ | 3.22G/5.00G [00:06<00:02, 756MB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.36G/5.00G [00:06<00:02, 806MB/s] model-00002-of-00003.safetensors: 72%|███████▏ | 3.58G/5.00G [00:06<00:01, 1.07GB/s] model-00002-of-00003.safetensors: 74%|███████▍ | 3.71G/5.00G [00:07<00:01, 1.08GB/s] model-00002-of-00003.safetensors: 77%|███████▋ | 3.85G/5.00G [00:07<00:01, 879MB/s] model-00002-of-00003.safetensors: 79%|███████▉ | 3.96G/5.00G [00:07<00:01, 659MB/s] model-00002-of-00003.safetensors: 81%|████████ | 4.06G/5.00G [00:07<00:01, 631MB/s] model-00002-of-00003.safetensors: 83%|████████▎ | 4.14G/5.00G [00:07<00:01, 640MB/s] model-00002-of-00003.safetensors: 86%|████████▌ | 4.30G/5.00G [00:08<00:00, 815MB/s] model-00002-of-00003.safetensors: 89%|████████▊ | 4.44G/5.00G [00:08<00:00, 912MB/s] model-00002-of-00003.safetensors: 92%|█████████▏| 4.60G/5.00G [00:08<00:00, 1.08GB/s] model-00002-of-00003.safetensors: 96%|█████████▋| 4.82G/5.00G [00:08<00:00, 1.35GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:08<00:00, 1.28GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:08<00:00, 585MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/4.54G [00:01<12:37, 5.98MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:01<05:38, 13.3MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:02<03:45, 20.0MB/s] model-00003-of-00003.safetensors: 1%| | 52.4M/4.54G [00:02<02:18, 32.5MB/s] model-00003-of-00003.safetensors: 1%|▏ | 62.9M/4.54G [00:02<01:59, 37.5MB/s] model-00003-of-00003.safetensors: 2%|▏ | 83.9M/4.54G [00:02<01:24, 52.5MB/s] model-00003-of-00003.safetensors: 3%|▎ | 136M/4.54G [00:02<00:37, 117MB/s] model-00003-of-00003.safetensors: 6%|▌ | 273M/4.54G [00:03<00:13, 320MB/s] model-00003-of-00003.safetensors: 10%|█ | 461M/4.54G [00:03<00:06, 613MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 577M/4.54G [00:03<00:05, 719MB/s] model-00003-of-00003.safetensors: 18%|█▊ | 818M/4.54G [00:03<00:03, 1.11GB/s] model-00003-of-00003.safetensors: 24%|██▍ | 1.08G/4.54G [00:03<00:02, 1.35GB/s] model-00003-of-00003.safetensors: 27%|██▋ | 1.24G/4.54G [00:04<00:05, 584MB/s] model-00003-of-00003.safetensors: 30%|███ | 1.36G/4.54G [00:04<00:05, 561MB/s] model-00003-of-00003.safetensors: 32%|███▏ | 1.47G/4.54G [00:04<00:05, 519MB/s] model-00003-of-00003.safetensors: 34%|███▍ | 1.55G/4.54G [00:04<00:05, 521MB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.63G/4.54G [00:04<00:05, 549MB/s] model-00003-of-00003.safetensors: 37%|███▋ | 1.70G/4.54G [00:05<00:05, 516MB/s] model-00003-of-00003.safetensors: 40%|████ | 1.82G/4.54G [00:05<00:04, 650MB/s] model-00003-of-00003.safetensors: 42%|████▏ | 1.91G/4.54G [00:05<00:04, 637MB/s] model-00003-of-00003.safetensors: 45%|████▍ | 2.03G/4.54G [00:05<00:03, 768MB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.19G/4.54G [00:05<00:02, 941MB/s] model-00003-of-00003.safetensors: 54%|█████▍ | 2.47G/4.54G [00:05<00:01, 1.39GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.63G/4.54G [00:05<00:01, 1.23GB/s] model-00003-of-00003.safetensors: 65%|██████▌ | 2.96G/4.54G [00:05<00:00, 1.63GB/s] model-00003-of-00003.safetensors: 69%|██████▉ | 3.14G/4.54G [00:06<00:01, 1.01GB/s] model-00003-of-00003.safetensors: 72%|███████▏ | 3.28G/4.54G [00:06<00:01, 838MB/s] model-00003-of-00003.safetensors: 75%|███████▍ | 3.40G/4.54G [00:06<00:01, 796MB/s] model-00003-of-00003.safetensors: 77%|███████▋ | 3.51G/4.54G [00:06<00:01, 841MB/s] model-00003-of-00003.safetensors: 80%|████████ | 3.64G/4.54G [00:06<00:00, 903MB/s] model-00003-of-00003.safetensors: 85%|████████▍ | 3.84G/4.54G [00:07<00:00, 1.13GB/s] model-00003-of-00003.safetensors: 89%|████████▉ | 4.04G/4.54G [00:07<00:00, 1.27GB/s] model-00003-of-00003.safetensors: 92%|█████████▏| 4.18G/4.54G [00:07<00:00, 1.26GB/s] model-00003-of-00003.safetensors: 97%|█████████▋| 4.39G/4.54G [00:07<00:00, 1.47GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:07<00:00, 595MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: model.safetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 130MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/557 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 557/557 [00:00<00:00, 5.16MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 45.7MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 14.7MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.60k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.60k/1.60k [00:00<00:00, 13.0MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Downloaded to shared memory in 28.051s
severian-nexus-ikm-rolep-5578-v3-mkmlizer: quantizing model to /dev/shm/model_cache
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Reading /tmp/tmpe1aboqg9/model.safetensors.index.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:15, 1.29s/it] Profiling: 7%|▋ | 20/291 [00:01<00:13, 19.38it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 39.07it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 69.63it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 90.87it/s] Profiling: 35%|███▍ | 101/291 [00:02<00:02, 79.66it/s] Profiling: 40%|████ | 117/291 [00:02<00:01, 93.19it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 115.49it/s] Profiling: 54%|█████▍ | 157/291 [00:02<00:01, 131.02it/s] Profiling: 60%|██████ | 175/291 [00:02<00:00, 138.97it/s] Profiling: 66%|██████▌ | 192/291 [00:02<00:00, 144.88it/s] Profiling: 72%|███████▏ | 209/291 [00:04<00:02, 33.01it/s] Profiling: 78%|███████▊ | 227/291 [00:04<00:01, 43.96it/s] Profiling: 85%|████████▍ | 247/291 [00:04<00:00, 58.84it/s] Profiling: 91%|█████████▏| 266/291 [00:04<00:00, 74.67it/s] Profiling: 99%|█████████▉| 288/291 [00:04<00:00, 95.82it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.85it/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
severian-nexus-ikm-rolep-5578-v3-mkmlizer: quantized model in 14.565s
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Processed model Severian/Nexus-IKM-RolePlay-StoryWriter-Hermes-2-Pro-7B in 43.460s
severian-nexus-ikm-rolep-5578-v3-mkmlizer: creating bucket guanaco-mkml-models
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
severian-nexus-ikm-rolep-5578-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/severian-nexus-ikm-rolep-5578-v3
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/severian-nexus-ikm-rolep-5578-v3/config.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/severian-nexus-ikm-rolep-5578-v3/mkml_model.tensors
severian-nexus-ikm-rolep-5578-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
severian-nexus-ikm-rolep-5578-v3-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.
severian-nexus-ikm-rolep-5578-v3-mkmlizer: warnings.warn(
severian-nexus-ikm-rolep-5578-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.1MB/s]
severian-nexus-ikm-rolep-5578-v3-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.
severian-nexus-ikm-rolep-5578-v3-mkmlizer: warnings.warn(
severian-nexus-ikm-rolep-5578-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.25MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 33.9MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 44.1MB/s]
severian-nexus-ikm-rolep-5578-v3-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.
severian-nexus-ikm-rolep-5578-v3-mkmlizer: warnings.warn(
severian-nexus-ikm-rolep-5578-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:05, 244MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:15, 86.9MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:00<00:06, 201MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:01<00:07, 164MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:01<00:05, 235MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:01<00:02, 395MB/s] pytorch_model.bin: 56%|█████▌ | 807M/1.44G [00:01<00:00, 1.17GB/s] pytorch_model.bin: 97%|█████████▋| 1.40G/1.44G [00:01<00:00, 2.23GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 859MB/s]
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Saving duration: 0.210s
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.765s
severian-nexus-ikm-rolep-5578-v3-mkmlizer: creating bucket guanaco-reward-models
severian-nexus-ikm-rolep-5578-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
severian-nexus-ikm-rolep-5578-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/special_tokens_map.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/tokenizer_config.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/merges.txt
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/config.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/vocab.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/tokenizer.json
severian-nexus-ikm-rolep-5578-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/severian-nexus-ikm-rolep-5578-v3_reward/reward.tensors
Job severian-nexus-ikm-rolep-5578-v3-mkmlizer completed after 75.25s with status: succeeded
Stopping job with name severian-nexus-ikm-rolep-5578-v3-mkmlizer
Pipeline stage MKMLizer completed in 76.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service severian-nexus-ikm-rolep-5578-v3
Waiting for inference service severian-nexus-ikm-rolep-5578-v3 to be ready
Inference service severian-nexus-ikm-rolep-5578-v3 ready after 40.26865816116333s
Pipeline stage ISVCDeployer completed in 47.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.1151421070098877s
Received healthy response to inference request in 0.5002632141113281s
Received healthy response to inference request in 0.5300924777984619s
Received healthy response to inference request in 0.6535377502441406s
Received healthy response to inference request in 0.5831730365753174s
5 requests
0 failed requests
5th percentile: 0.5062290668487549
10th percentile: 0.5121949195861817
20th percentile: 0.5241266250610351
30th percentile: 0.540708589553833
40th percentile: 0.5619408130645752
50th percentile: 0.5831730365753174
60th percentile: 0.6113189220428467
70th percentile: 0.6394648075103759
80th percentile: 0.7458586215972901
90th percentile: 0.930500364303589
95th percentile: 1.022821235656738
99th percentile: 1.0966779327392577
mean time: 0.6764417171478272
Pipeline stage StressChecker completed in 4.30s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
severian-nexus-ikm-rolep_5578_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
severian-nexus-ikm-rolep_5578_v3 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics