submission_id: khanhnto-khanhnto_v56
developer_uid: robert_irvine
status: torndown
model_repo: khanhnto/khanhnto
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.2, 'top_p': 0.7, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.8, 'frequency_penalty': 0.2, 'stopping_words': ['<\\s>', '###', '\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "### Instruction:\n\n{bot_name}'s Persona: {memory}.\n\nPlay the role of {bot_name}. Engage in a chat with {user_name} while stay in character. Do not write dialogues and narration for {user_name}. {bot_name} should response with messages of medium length.", 'prompt_template': '{prompt}\n\n', 'bot_template': '### Response:\n\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n\n{user_name}: {message}\n\n', 'response_template': '### Response:\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-03-05T22:53:18+00:00
model_name: khanhnto-khanhnto_v56
model_eval_status: success
model_group: khanhnto/khanhnto
num_battles: 175504
num_wins: 87376
celo_rating: 1152.47
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 13015864320.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: khanhnto-khanhnto_v56
ineligible_reason: propriety_total_count < 800
language_model: khanhnto/khanhnto
model_size: 13B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-05
win_ratio: 0.4978575986872094
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v56-mkmlizer
Waiting for job on khanhnto-khanhnto-v56-mkmlizer to finish
khanhnto-khanhnto-v56-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v56-mkmlizer: ║     _____            __           __                                ║
khanhnto-khanhnto-v56-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
khanhnto-khanhnto-v56-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
khanhnto-khanhnto-v56-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
khanhnto-khanhnto-v56-mkmlizer: ║       /___/                                                         ║
khanhnto-khanhnto-v56-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v56-mkmlizer: ║  Version: 0.6.11                                                    ║
khanhnto-khanhnto-v56-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
khanhnto-khanhnto-v56-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v56-mkmlizer: ║  The license key for the current software has been verified as      ║
khanhnto-khanhnto-v56-mkmlizer: ║  belonging to:                                                      ║
khanhnto-khanhnto-v56-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v56-mkmlizer: ║  Chai Research Corp.                                                ║
khanhnto-khanhnto-v56-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
khanhnto-khanhnto-v56-mkmlizer: ║  Expiration: 2024-04-15 23:59:59                                    ║
khanhnto-khanhnto-v56-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v56-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v56-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 16.8MB/s]
khanhnto-khanhnto-v56-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, 232kB/s]
khanhnto-khanhnto-v56-mkmlizer: 
config.json:   0%|          | 0.00/702 [00:00<?, ?B/s]
config.json: 100%|██████████| 702/702 [00:00<00:00, 9.56MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
generation_config.json:   0%|          | 0.00/137 [00:00<?, ?B/s]
generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.88MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
model-00001-of-00006.safetensors:   0%|          | 0.00/4.98G [00:00<?, ?B/s]
model-00001-of-00006.safetensors:   0%|          | 10.5M/4.98G [00:00<03:04, 26.9MB/s]
model-00001-of-00006.safetensors:   0%|          | 21.0M/4.98G [00:02<09:09, 9.02MB/s]
model-00001-of-00006.safetensors:   1%|          | 31.5M/4.98G [00:02<05:32, 14.9MB/s]
model-00001-of-00006.safetensors:   1%|          | 41.9M/4.98G [00:02<04:04, 20.2MB/s]
model-00001-of-00006.safetensors:   1%|▏         | 73.4M/4.98G [00:02<01:43, 47.3MB/s]
model-00001-of-00006.safetensors:   3%|▎         | 136M/4.98G [00:02<00:42, 115MB/s]  
model-00001-of-00006.safetensors:   4%|▍         | 220M/4.98G [00:02<00:22, 214MB/s]
model-00001-of-00006.safetensors:   9%|▉         | 472M/4.98G [00:02<00:07, 587MB/s]
model-00001-of-00006.safetensors:  12%|█▏        | 577M/4.98G [00:03<00:07, 625MB/s]
model-00001-of-00006.safetensors:  18%|█▊        | 912M/4.98G [00:03<00:03, 1.17GB/s]
model-00001-of-00006.safetensors:  22%|██▏       | 1.08G/4.98G [00:03<00:04, 840MB/s]
model-00001-of-00006.safetensors:  24%|██▍       | 1.22G/4.98G [00:04<00:08, 469MB/s]
model-00001-of-00006.safetensors:  27%|██▋       | 1.32G/4.98G [00:04<00:09, 384MB/s]
model-00001-of-00006.safetensors:  28%|██▊       | 1.41G/4.98G [00:04<00:08, 409MB/s]
model-00001-of-00006.safetensors:  30%|██▉       | 1.48G/4.98G [00:04<00:08, 407MB/s]
model-00001-of-00006.safetensors:  33%|███▎      | 1.63G/4.98G [00:05<00:06, 551MB/s]
model-00001-of-00006.safetensors:  35%|███▍      | 1.73G/4.98G [00:05<00:05, 629MB/s]
model-00001-of-00006.safetensors:  37%|███▋      | 1.82G/4.98G [00:05<00:04, 647MB/s]
model-00001-of-00006.safetensors:  39%|███▉      | 1.96G/4.98G [00:05<00:03, 783MB/s]
model-00001-of-00006.safetensors:  42%|████▏     | 2.11G/4.98G [00:05<00:03, 852MB/s]
model-00001-of-00006.safetensors:  44%|████▍     | 2.21G/4.98G [00:05<00:03, 859MB/s]
model-00001-of-00006.safetensors:  52%|█████▏    | 2.61G/4.98G [00:05<00:01, 1.59GB/s]
model-00001-of-00006.safetensors:  56%|█████▌    | 2.80G/4.98G [00:05<00:01, 1.37GB/s]
model-00001-of-00006.safetensors:  60%|█████▉    | 2.97G/4.98G [00:06<00:01, 1.07GB/s]
model-00001-of-00006.safetensors:  62%|██████▏   | 3.10G/4.98G [00:06<00:02, 791MB/s] 
model-00001-of-00006.safetensors:  65%|██████▍   | 3.22G/4.98G [00:06<00:02, 637MB/s]
model-00001-of-00006.safetensors:  67%|██████▋   | 3.33G/4.98G [00:06<00:02, 711MB/s]
model-00001-of-00006.safetensors:  70%|██████▉   | 3.47G/4.98G [00:07<00:01, 808MB/s]
model-00001-of-00006.safetensors:  73%|███████▎  | 3.63G/4.98G [00:07<00:01, 958MB/s]
model-00001-of-00006.safetensors:  77%|███████▋  | 3.85G/4.98G [00:07<00:00, 1.17GB/s]
model-00001-of-00006.safetensors:  80%|████████  | 4.00G/4.98G [00:07<00:00, 1.11GB/s]
model-00001-of-00006.safetensors:  83%|████████▎ | 4.12G/4.98G [00:07<00:00, 890MB/s] 
model-00001-of-00006.safetensors:  85%|████████▍ | 4.23G/4.98G [00:07<00:00, 889MB/s]
model-00001-of-00006.safetensors:  87%|████████▋ | 4.33G/4.98G [00:08<00:00, 747MB/s]
model-00001-of-00006.safetensors:  90%|████████▉ | 4.46G/4.98G [00:08<00:00, 845MB/s]
model-00001-of-00006.safetensors:  92%|█████████▏| 4.60G/4.98G [00:08<00:00, 976MB/s]
model-00001-of-00006.safetensors:  95%|█████████▍| 4.72G/4.98G [00:08<00:00, 1.00GB/s]
model-00001-of-00006.safetensors: 100%|█████████▉| 4.96G/4.98G [00:08<00:00, 1.35GB/s]
model-00001-of-00006.safetensors: 100%|█████████▉| 4.98G/4.98G [00:08<00:00, 588MB/s] 
khanhnto-khanhnto-v56-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<02:44, 30.2MB/s]
model-00002-of-00006.safetensors:   0%|          | 21.0M/4.97G [00:01<06:42, 12.3MB/s]
model-00002-of-00006.safetensors:   1%|          | 31.5M/4.97G [00:02<06:17, 13.1MB/s]
model-00002-of-00006.safetensors:   1%|          | 52.4M/4.97G [00:02<03:04, 26.7MB/s]
model-00002-of-00006.safetensors:   2%|▏         | 94.4M/4.97G [00:02<01:17, 62.7MB/s]
model-00002-of-00006.safetensors:   3%|▎         | 168M/4.97G [00:02<00:34, 140MB/s]  
model-00002-of-00006.safetensors:   5%|▌         | 262M/4.97G [00:02<00:18, 254MB/s]
model-00002-of-00006.safetensors:   7%|▋         | 325M/4.97G [00:02<00:15, 308MB/s]
model-00002-of-00006.safetensors:   9%|▉         | 440M/4.97G [00:02<00:09, 467MB/s]
model-00002-of-00006.safetensors:  19%|█▉        | 933M/4.97G [00:03<00:02, 1.41GB/s]
model-00002-of-00006.safetensors:  23%|██▎       | 1.14G/4.97G [00:03<00:02, 1.40GB/s]
model-00002-of-00006.safetensors:  27%|██▋       | 1.33G/4.97G [00:04<00:06, 551MB/s] 
model-00002-of-00006.safetensors:  30%|██▉       | 1.47G/4.97G [00:04<00:05, 632MB/s]
model-00002-of-00006.safetensors:  33%|███▎      | 1.66G/4.97G [00:04<00:04, 781MB/s]
model-00002-of-00006.safetensors:  36%|███▋      | 1.80G/4.97G [00:04<00:05, 618MB/s]
model-00002-of-00006.safetensors:  39%|███▉      | 1.93G/4.97G [00:04<00:04, 696MB/s]
model-00002-of-00006.safetensors:  42%|████▏     | 2.08G/4.97G [00:04<00:03, 814MB/s]
model-00002-of-00006.safetensors:  44%|████▍     | 2.20G/4.97G [00:05<00:03, 808MB/s]
model-00002-of-00006.safetensors:  50%|████▉     | 2.47G/4.97G [00:05<00:02, 1.17GB/s]
model-00002-of-00006.safetensors:  58%|█████▊    | 2.90G/4.97G [00:05<00:01, 1.84GB/s]
model-00002-of-00006.safetensors:  63%|██████▎   | 3.15G/4.97G [00:05<00:01, 964MB/s] 
model-00002-of-00006.safetensors:  67%|██████▋   | 3.33G/4.97G [00:06<00:02, 710MB/s]
model-00002-of-00006.safetensors:  70%|███████   | 3.48G/4.97G [00:06<00:01, 787MB/s]
model-00002-of-00006.safetensors:  73%|███████▎  | 3.63G/4.97G [00:06<00:01, 862MB/s]
model-00002-of-00006.safetensors:  76%|███████▌  | 3.79G/4.97G [00:06<00:01, 978MB/s]
model-00002-of-00006.safetensors:  82%|████████▏ | 4.06G/4.97G [00:06<00:00, 1.29GB/s]
model-00002-of-00006.safetensors:  85%|████████▌ | 4.24G/4.97G [00:07<00:00, 869MB/s] 
model-00002-of-00006.safetensors:  88%|████████▊ | 4.37G/4.97G [00:07<00:00, 828MB/s]
model-00002-of-00006.safetensors:  91%|█████████▏| 4.54G/4.97G [00:07<00:00, 951MB/s]
model-00002-of-00006.safetensors:  94%|█████████▍| 4.68G/4.97G [00:07<00:00, 1.01GB/s]
model-00002-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:07<00:00, 648MB/s] 
khanhnto-khanhnto-v56-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 [00:01<11:23, 7.26MB/s]
model-00003-of-00006.safetensors:   0%|          | 21.0M/4.97G [00:01<05:29, 15.0MB/s]
model-00003-of-00006.safetensors:   1%|          | 31.5M/4.97G [00:02<04:35, 17.9MB/s]
model-00003-of-00006.safetensors:   1%|          | 41.9M/4.97G [00:02<03:34, 23.0MB/s]
model-00003-of-00006.safetensors:   1%|          | 52.4M/4.97G [00:02<02:39, 30.8MB/s]
model-00003-of-00006.safetensors:   1%|▏         | 62.9M/4.97G [00:02<02:06, 38.9MB/s]
model-00003-of-00006.safetensors:   3%|▎         | 126M/4.97G [00:02<00:38, 127MB/s]  
model-00003-of-00006.safetensors:   4%|▍         | 210M/4.97G [00:02<00:19, 250MB/s]
model-00003-of-00006.safetensors:   7%|▋         | 325M/4.97G [00:02<00:11, 415MB/s]
model-00003-of-00006.safetensors:   8%|▊         | 388M/4.97G [00:03<00:12, 379MB/s]
model-00003-of-00006.safetensors:  10%|▉         | 493M/4.97G [00:03<00:08, 508MB/s]
model-00003-of-00006.safetensors:  22%|██▏       | 1.11G/4.97G [00:03<00:02, 1.73GB/s]
model-00003-of-00006.safetensors:  27%|██▋       | 1.33G/4.97G [00:03<00:04, 893MB/s] 
model-00003-of-00006.safetensors:  30%|███       | 1.50G/4.97G [00:04<00:05, 612MB/s]
model-00003-of-00006.safetensors:  33%|███▎      | 1.63G/4.97G [00:04<00:05, 656MB/s]
model-00003-of-00006.safetensors:  35%|███▌      | 1.74G/4.97G [00:04<00:05, 624MB/s]
model-00003-of-00006.safetensors:  39%|███▉      | 1.93G/4.97G [00:04<00:03, 797MB/s]
model-00003-of-00006.safetensors:  50%|████▉     | 2.47G/4.97G [00:05<00:01, 1.55GB/s]
model-00003-of-00006.safetensors:  55%|█████▍    | 2.72G/4.97G [00:05<00:02, 1.06GB/s]
model-00003-of-00006.safetensors:  58%|█████▊    | 2.90G/4.97G [00:06<00:03, 679MB/s] 
model-00003-of-00006.safetensors:  61%|██████▏   | 3.05G/4.97G [00:06<00:02, 740MB/s]
model-00003-of-00006.safetensors:  64%|██████▍   | 3.19G/4.97G [00:06<00:02, 806MB/s]
model-00003-of-00006.safetensors:  67%|██████▋   | 3.32G/4.97G [00:06<00:02, 796MB/s]
model-00003-of-00006.safetensors:  73%|███████▎  | 3.64G/4.97G [00:06<00:01, 1.18GB/s]
model-00003-of-00006.safetensors:  78%|███████▊  | 3.86G/4.97G [00:06<00:00, 1.33GB/s]
model-00003-of-00006.safetensors:  81%|████████  | 4.04G/4.97G [00:07<00:01, 893MB/s] 
model-00003-of-00006.safetensors:  84%|████████▍ | 4.18G/4.97G [00:07<00:01, 759MB/s]
model-00003-of-00006.safetensors:  86%|████████▋ | 4.30G/4.97G [00:07<00:00, 719MB/s]
model-00003-of-00006.safetensors:  90%|█████████ | 4.49G/4.97G [00:07<00:00, 890MB/s]
model-00003-of-00006.safetensors:  93%|█████████▎| 4.61G/4.97G [00:07<00:00, 844MB/s]
model-00003-of-00006.safetensors:  95%|█████████▌| 4.73G/4.97G [00:07<00:00, 871MB/s]
model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:08<00:00, 615MB/s]
khanhnto-khanhnto-v56-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 [00:01<12:26, 6.59MB/s]
model-00004-of-00006.safetensors:   0%|          | 21.0M/4.93G [00:01<06:05, 13.4MB/s]
model-00004-of-00006.safetensors:   1%|          | 31.5M/4.93G [00:02<04:58, 16.4MB/s]
model-00004-of-00006.safetensors:   1%|          | 41.9M/4.93G [00:02<03:53, 20.9MB/s]
model-00004-of-00006.safetensors:   2%|▏         | 83.9M/4.93G [00:02<01:19, 60.8MB/s]
model-00004-of-00006.safetensors:   3%|▎         | 147M/4.93G [00:02<00:37, 128MB/s]  
model-00004-of-00006.safetensors:   6%|▌         | 283M/4.93G [00:02<00:15, 304MB/s]
model-00004-of-00006.safetensors:   8%|▊         | 377M/4.93G [00:03<00:12, 363MB/s]
model-00004-of-00006.safetensors:   9%|▉         | 440M/4.93G [00:03<00:11, 403MB/s]
model-00004-of-00006.safetensors:  23%|██▎       | 1.11G/4.93G [00:03<00:02, 1.64GB/s]
model-00004-of-00006.safetensors:  27%|██▋       | 1.35G/4.93G [00:04<00:06, 584MB/s] 
model-00004-of-00006.safetensors:  31%|███       | 1.53G/4.93G [00:04<00:06, 503MB/s]
model-00004-of-00006.safetensors:  34%|███▍      | 1.69G/4.93G [00:04<00:05, 590MB/s]
model-00004-of-00006.safetensors:  38%|███▊      | 1.86G/4.93G [00:05<00:04, 700MB/s]
model-00004-of-00006.safetensors:  41%|████      | 2.00G/4.93G [00:05<00:03, 780MB/s]
model-00004-of-00006.safetensors:  45%|████▍     | 2.21G/4.93G [00:05<00:02, 987MB/s]
model-00004-of-00006.safetensors:  48%|████▊     | 2.37G/4.93G [00:05<00:03, 645MB/s]
model-00004-of-00006.safetensors:  51%|█████     | 2.50G/4.93G [00:06<00:05, 472MB/s]
model-00004-of-00006.safetensors:  52%|█████▏    | 2.59G/4.93G [00:06<00:05, 469MB/s]
model-00004-of-00006.safetensors:  54%|█████▍    | 2.67G/4.93G [00:06<00:04, 495MB/s]
model-00004-of-00006.safetensors:  56%|█████▌    | 2.75G/4.93G [00:06<00:04, 519MB/s]
model-00004-of-00006.safetensors:  58%|█████▊    | 2.85G/4.93G [00:06<00:03, 595MB/s]
model-00004-of-00006.safetensors:  61%|██████    | 2.99G/4.93G [00:07<00:02, 681MB/s]
model-00004-of-00006.safetensors:  63%|██████▎   | 3.12G/4.93G [00:07<00:02, 805MB/s]
model-00004-of-00006.safetensors:  69%|██████▉   | 3.41G/4.93G [00:07<00:01, 1.20GB/s]
model-00004-of-00006.safetensors:  72%|███████▏  | 3.55G/4.93G [00:07<00:02, 685MB/s] 
model-00004-of-00006.safetensors:  74%|███████▍  | 3.67G/4.93G [00:08<00:02, 571MB/s]
model-00004-of-00006.safetensors:  76%|███████▋  | 3.76G/4.93G [00:08<00:01, 585MB/s]
model-00004-of-00006.safetensors:  78%|███████▊  | 3.85G/4.93G [00:08<00:01, 591MB/s]
model-00004-of-00006.safetensors:  80%|███████▉  | 3.93G/4.93G [00:08<00:01, 581MB/s]
model-00004-of-00006.safetensors:  81%|████████  | 4.01G/4.93G [00:08<00:01, 600MB/s]
model-00004-of-00006.safetensors:  83%|████████▎ | 4.09G/4.93G [00:08<00:01, 642MB/s]
model-00004-of-00006.safetensors:  84%|████████▍ | 4.16G/4.93G [00:08<00:01, 625MB/s]
model-00004-of-00006.safetensors:  88%|████████▊ | 4.36G/4.93G [00:08<00:00, 946MB/s]
model-00004-of-00006.safetensors:  93%|█████████▎| 4.61G/4.93G [00:09<00:00, 1.27GB/s]
model-00004-of-00006.safetensors:  96%|█████████▋| 4.76G/4.93G [00:09<00:00, 1.32GB/s]
model-00004-of-00006.safetensors:  99%|█████████▉| 4.90G/4.93G [00:09<00:00, 1.22GB/s]
model-00004-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:09<00:00, 529MB/s] 
khanhnto-khanhnto-v56-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 [00:01<12:39, 6.48MB/s]
model-00005-of-00006.safetensors:   0%|          | 21.0M/4.93G [00:01<05:40, 14.4MB/s]
model-00005-of-00006.safetensors:   1%|          | 31.5M/4.93G [00:02<05:16, 15.5MB/s]
model-00005-of-00006.safetensors:   1%|          | 52.4M/4.93G [00:02<02:37, 30.9MB/s]
model-00005-of-00006.safetensors:   2%|▏         | 83.9M/4.93G [00:02<01:19, 60.7MB/s]
model-00005-of-00006.safetensors:   3%|▎         | 136M/4.93G [00:02<00:40, 119MB/s]  
model-00005-of-00006.safetensors:   5%|▍         | 241M/4.93G [00:02<00:18, 260MB/s]
model-00005-of-00006.safetensors:   6%|▌         | 294M/4.93G [00:03<00:26, 178MB/s]
model-00005-of-00006.safetensors:   7%|▋         | 336M/4.93G [00:03<00:26, 175MB/s]
model-00005-of-00006.safetensors:   8%|▊         | 377M/4.93G [00:03<00:22, 201MB/s]
model-00005-of-00006.safetensors:  11%|█         | 524M/4.93G [00:03<00:11, 398MB/s]
model-00005-of-00006.safetensors:  20%|██        | 1.01G/4.93G [00:03<00:03, 1.19GB/s]
model-00005-of-00006.safetensors:  28%|██▊       | 1.37G/4.93G [00:04<00:02, 1.63GB/s]
model-00005-of-00006.safetensors:  33%|███▎      | 1.60G/4.93G [00:05<00:05, 581MB/s] 
model-00005-of-00006.safetensors:  36%|███▌      | 1.77G/4.93G [00:05<00:04, 638MB/s]
model-00005-of-00006.safetensors:  41%|████      | 2.00G/4.93G [00:05<00:03, 801MB/s]
model-00005-of-00006.safetensors:  44%|████▍     | 2.16G/4.93G [00:05<00:03, 862MB/s]
model-00005-of-00006.safetensors:  47%|████▋     | 2.31G/4.93G [00:05<00:02, 893MB/s]
model-00005-of-00006.safetensors:  53%|█████▎    | 2.62G/4.93G [00:05<00:01, 1.21GB/s]
model-00005-of-00006.safetensors:  57%|█████▋    | 2.79G/4.93G [00:06<00:02, 745MB/s] 
model-00005-of-00006.safetensors:  59%|█████▉    | 2.92G/4.93G [00:06<00:02, 697MB/s]
model-00005-of-00006.safetensors:  62%|██████▏   | 3.04G/4.93G [00:06<00:02, 753MB/s]
model-00005-of-00006.safetensors:  65%|██████▌   | 3.21G/4.93G [00:06<00:01, 896MB/s]
model-00005-of-00006.safetensors:  68%|██████▊   | 3.33G/4.93G [00:06<00:01, 921MB/s]
model-00005-of-00006.safetensors:  70%|██████▉   | 3.45G/4.93G [00:06<00:01, 927MB/s]
model-00005-of-00006.safetensors:  76%|███████▌  | 3.74G/4.93G [00:07<00:01, 1.19GB/s]
model-00005-of-00006.safetensors:  79%|███████▊  | 3.88G/4.93G [00:07<00:01, 652MB/s] 
model-00005-of-00006.safetensors:  81%|████████  | 3.98G/4.93G [00:07<00:01, 680MB/s]
model-00005-of-00006.safetensors:  83%|████████▎ | 4.08G/4.93G [00:07<00:01, 707MB/s]
model-00005-of-00006.safetensors:  85%|████████▍ | 4.17G/4.93G [00:08<00:01, 734MB/s]
model-00005-of-00006.safetensors:  87%|████████▋ | 4.29G/4.93G [00:08<00:00, 799MB/s]
model-00005-of-00006.safetensors:  91%|█████████ | 4.47G/4.93G [00:08<00:00, 1.01GB/s]
model-00005-of-00006.safetensors:  95%|█████████▍| 4.68G/4.93G [00:08<00:00, 1.27GB/s]
model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:08<00:00, 1.59GB/s]
model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:08<00:00, 581MB/s] 
khanhnto-khanhnto-v56-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 [00:01<02:23, 8.57MB/s]
model-00006-of-00006.safetensors:   2%|▏         | 21.0M/1.25G [00:01<01:45, 11.6MB/s]
model-00006-of-00006.safetensors:   3%|▎         | 31.5M/1.25G [00:02<01:25, 14.2MB/s]
model-00006-of-00006.safetensors:   3%|▎         | 41.9M/1.25G [00:02<00:57, 21.1MB/s]
model-00006-of-00006.safetensors:   5%|▌         | 62.9M/1.25G [00:02<00:29, 39.6MB/s]
model-00006-of-00006.safetensors:  10%|█         | 126M/1.25G [00:02<00:09, 113MB/s]  
model-00006-of-00006.safetensors:  19%|█▉        | 241M/1.25G [00:02<00:03, 268MB/s]
model-00006-of-00006.safetensors:  28%|██▊       | 346M/1.25G [00:03<00:02, 396MB/s]
model-00006-of-00006.safetensors:  34%|███▎      | 419M/1.25G [00:03<00:02, 385MB/s]
model-00006-of-00006.safetensors:  55%|█████▍    | 682M/1.25G [00:03<00:00, 809MB/s]
model-00006-of-00006.safetensors:  97%|█████████▋| 1.21G/1.25G [00:03<00:00, 1.77GB/s]
model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:03<00:00, 343MB/s] 
khanhnto-khanhnto-v56-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, 191MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/548 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 5.78MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.84M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 20.0MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
tokenizer.model:   0%|          | 0.00/500k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 38.9MB/s]
khanhnto-khanhnto-v56-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, 13.5MB/s]
khanhnto-khanhnto-v56-mkmlizer: Downloaded to shared memory in 49.781s
khanhnto-khanhnto-v56-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v56-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v56-mkmlizer: Reading /tmp/tmpipm44qce/model.safetensors.index.json
khanhnto-khanhnto-v56-mkmlizer: 
Profiling:   0%|          | 0/363 [00:00<?, ?it/s]
Profiling:   0%|          | 1/363 [00:02<14:31,  2.41s/it]
Profiling:   2%|▏         | 9/363 [00:02<01:12,  4.87it/s]
Profiling:   5%|▍         | 18/363 [00:02<00:31, 11.11it/s]
Profiling:   7%|▋         | 26/363 [00:02<00:19, 17.66it/s]
Profiling:  10%|▉         | 35/363 [00:02<00:12, 26.09it/s]
Profiling:  12%|█▏        | 45/363 [00:02<00:08, 36.46it/s]
Profiling:  16%|█▌        | 57/363 [00:03<00:06, 49.41it/s]
Profiling:  19%|█▊        | 68/363 [00:03<00:04, 61.01it/s]
Profiling:  21%|██▏       | 78/363 [00:03<00:06, 43.49it/s]
Profiling:  24%|██▎       | 86/363 [00:03<00:05, 48.12it/s]
Profiling:  26%|██▌       | 95/363 [00:03<00:04, 54.98it/s]
Profiling:  28%|██▊       | 103/363 [00:03<00:04, 60.01it/s]
Profiling:  31%|███       | 112/363 [00:03<00:03, 65.72it/s]
Profiling:  33%|███▎      | 120/363 [00:04<00:03, 68.61it/s]
Profiling:  35%|███▌      | 128/363 [00:04<00:03, 71.16it/s]
Profiling:  37%|███▋      | 136/363 [00:04<00:03, 72.11it/s]
Profiling:  40%|███▉      | 144/363 [00:04<00:05, 43.37it/s]
Profiling:  42%|████▏     | 151/363 [00:04<00:04, 47.57it/s]
Profiling:  44%|████▎     | 158/363 [00:04<00:03, 51.27it/s]
Profiling:  46%|████▌     | 167/363 [00:04<00:03, 58.49it/s]
Profiling:  48%|████▊     | 176/363 [00:05<00:02, 63.16it/s]
Profiling:  51%|█████     | 185/363 [00:05<00:02, 67.20it/s]
Profiling:  53%|█████▎    | 194/363 [00:05<00:02, 71.74it/s]
Profiling:  56%|█████▌    | 203/363 [00:05<00:02, 74.25it/s]
Profiling:  58%|█████▊    | 211/363 [00:05<00:03, 45.09it/s]
Profiling:  61%|██████    | 220/363 [00:05<00:02, 51.53it/s]
Profiling:  63%|██████▎   | 229/363 [00:06<00:02, 56.93it/s]
Profiling:  66%|██████▌   | 238/363 [00:06<00:02, 62.41it/s]
Profiling:  68%|██████▊   | 247/363 [00:06<00:01, 66.78it/s]
Profiling:  71%|███████   | 256/363 [00:06<00:01, 69.97it/s]
Profiling:  73%|███████▎  | 265/363 [00:06<00:01, 72.72it/s]
Profiling:  75%|███████▌  | 273/363 [00:06<00:01, 72.65it/s]
Profiling:  77%|███████▋  | 281/363 [00:07<00:02, 37.28it/s]
Profiling:  79%|███████▉  | 287/363 [00:07<00:01, 40.58it/s]
Profiling:  81%|████████  | 294/363 [00:07<00:01, 45.80it/s]
Profiling:  83%|████████▎ | 302/363 [00:07<00:01, 50.98it/s]
Profiling:  86%|████████▌ | 311/363 [00:07<00:00, 57.56it/s]
Profiling:  88%|████████▊ | 320/363 [00:07<00:00, 63.43it/s]
Profiling:  91%|█████████ | 330/363 [00:07<00:00, 71.98it/s]
Profiling:  93%|█████████▎| 339/363 [00:07<00:00, 76.20it/s]
Profiling:  96%|█████████▌| 349/363 [00:09<00:01, 12.96it/s]
Profiling:  98%|█████████▊| 356/363 [00:10<00:00, 16.12it/s]
Profiling: 100%|██████████| 363/363 [00:10<00:00, 35.69it/s]
khanhnto-khanhnto-v56-mkmlizer: quantized model in 30.977s
khanhnto-khanhnto-v56-mkmlizer: Processed model khanhnto/khanhnto in 82.717s
khanhnto-khanhnto-v56-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v56-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v56-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v56
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v56/config.json
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v56/added_tokens.json
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v56/tokenizer_config.json
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v56/tokenizer.model
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v56/tokenizer.json
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v56/special_tokens_map.json
khanhnto-khanhnto-v56-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v56/mkml_model.tensors
khanhnto-khanhnto-v56-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
khanhnto-khanhnto-v56-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-v56-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v56-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 10.1MB/s]
khanhnto-khanhnto-v56-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-v56-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v56-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.22MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 36.1MB/s]
khanhnto-khanhnto-v56-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 24.8MB/s]
khanhnto-khanhnto-v56-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-v56-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v56-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v56-mkmlizer: Saving duration: 0.246s
khanhnto-khanhnto-v56-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.716s
khanhnto-khanhnto-v56-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v56-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v56-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/config.json
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/special_tokens_map.json
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/vocab.json
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/merges.txt
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/tokenizer_config.json
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/tokenizer.json
khanhnto-khanhnto-v56-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v56_reward/reward.tensors
Job khanhnto-khanhnto-v56-mkmlizer completed after 112.92s with status: succeeded
Stopping job with name khanhnto-khanhnto-v56-mkmlizer
Pipeline stage MKMLizer completed in 118.04s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v56
Waiting for inference service khanhnto-khanhnto-v56 to be ready
Inference service khanhnto-khanhnto-v56 ready after 50.35567927360535s
Pipeline stage ISVCDeployer completed in 59.35s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0733861923217773s
Received healthy response to inference request in 1.055837869644165s
Received healthy response to inference request in 1.30379319190979s
Received healthy response to inference request in 1.7312254905700684s
Received healthy response to inference request in 2.4161863327026367s
5 requests
0 failed requests
5th percentile: 1.10542893409729
10th percentile: 1.155019998550415
20th percentile: 1.254202127456665
30th percentile: 1.3892796516418457
40th percentile: 1.5602525711059572
50th percentile: 1.7312254905700684
60th percentile: 1.868089771270752
70th percentile: 2.0049540519714353
80th percentile: 2.141946220397949
90th percentile: 2.279066276550293
95th percentile: 2.347626304626465
99th percentile: 2.4024743270874023
mean time: 1.7160858154296874
Pipeline stage StressChecker completed in 9.49s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
AUTO_DEACTIVATION: submission %s deactivated %s
khanhnto-khanhnto_v56 status is now inactive due to auto deactivation removed underperforming models
khanhnto-khanhnto_v56 status is now deployed due to admin request
khanhnto-khanhnto_v56 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khanhnto-khanhnto_v56
Running pipeline stage ISVCDeleter
Checking if service khanhnto-khanhnto-v56 is running
Tearing down inference service khanhnto-khanhnto-v56
Toredown service khanhnto-khanhnto-v56
Pipeline stage ISVCDeleter completed in 6.38s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v56/added_tokens.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/config.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/tokenizer.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/tokenizer.model from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v56/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v56_reward/config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/merges.txt from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v56_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.63s
khanhnto-khanhnto_v56 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics