submission_id: decem-dionysus-mistral-m3-v6_v9
developer_uid: chaiwill
status: torndown
model_repo: decem/Dionysus-Mistral-m3-v6
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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}:', 'truncate_by_message': False}
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}:', 'truncate_by_message': False}
timestamp: 2024-03-16T18:12:32+00:00
model_name: decem-dionysus-mistral-m3-v6_v9
model_eval_status: success
model_group: decem/Dionysus-Mistral-m
num_battles: 67407
num_wins: 34329
celo_rating: 1163.77
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: decem-dionysus-mistral-m3-v6_v9
ineligible_reason: propriety_total_count < 800
language_model: decem/Dionysus-Mistral-m3-v6
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-16
win_ratio: 0.5092794516889937
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name decem-dionysus-mistral-m3-v6-v9-mkmlizer
Waiting for job on decem-dionysus-mistral-m3-v6-v9-mkmlizer to finish
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ _____ __ __ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ /___/ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ Version: 0.6.11 ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ The license key for the current software has been verified as ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ belonging to: ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ Chai Research Corp. ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
decem-dionysus-mistral-m3-v6-v9-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.7MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: README.md: 0%| | 0.00/4.30k [00:00<?, ?B/s] README.md: 100%|██████████| 4.30k/4.30k [00:00<00:00, 49.7MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: config.json: 0%| | 0.00/600 [00:00<?, ?B/s] config.json: 100%|██████████| 600/600 [00:00<00:00, 4.67MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: dionysus.jpg: 0%| | 0.00/746k [00:00<?, ?B/s] dionysus.jpg: 100%|██████████| 746k/746k [00:00<00:00, 3.53MB/s] dionysus.jpg: 100%|██████████| 746k/746k [00:00<00:00, 3.52MB/s]
decem-dionysus-mistral-m3-v6-v9-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<10:13, 8.03MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:02<10:40, 7.69MB/s] model-00001-of-00003.safetensors: 1%| | 52.4M/4.94G [00:02<03:14, 25.1MB/s] model-00001-of-00003.safetensors: 1%|▏ | 73.4M/4.94G [00:03<02:18, 35.3MB/s] model-00001-of-00003.safetensors: 2%|▏ | 94.4M/4.94G [00:03<01:45, 46.0MB/s] model-00001-of-00003.safetensors: 4%|▍ | 199M/4.94G [00:03<00:32, 148MB/s] model-00001-of-00003.safetensors: 6%|▌ | 294M/4.94G [00:03<00:18, 248MB/s] model-00001-of-00003.safetensors: 9%|▊ | 430M/4.94G [00:03<00:11, 407MB/s] model-00001-of-00003.safetensors: 10%|█ | 514M/4.94G [00:03<00:09, 478MB/s] model-00001-of-00003.safetensors: 14%|█▎ | 671M/4.94G [00:03<00:06, 662MB/s] model-00001-of-00003.safetensors: 16%|█▋ | 807M/4.94G [00:03<00:05, 759MB/s] model-00001-of-00003.safetensors: 21%|██▏ | 1.06G/4.94G [00:04<00:03, 1.07GB/s] model-00001-of-00003.safetensors: 24%|██▍ | 1.18G/4.94G [00:04<00:07, 531MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 1.28G/4.94G [00:04<00:07, 494MB/s] model-00001-of-00003.safetensors: 28%|██▊ | 1.36G/4.94G [00:05<00:06, 530MB/s] model-00001-of-00003.safetensors: 29%|██▉ | 1.46G/4.94G [00:05<00:05, 587MB/s] model-00001-of-00003.safetensors: 33%|███▎ | 1.64G/4.94G [00:05<00:04, 802MB/s] model-00001-of-00003.safetensors: 35%|███▌ | 1.75G/4.94G [00:05<00:04, 764MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 1.86G/4.94G [00:05<00:04, 750MB/s] model-00001-of-00003.safetensors: 39%|███▉ | 1.95G/4.94G [00:05<00:03, 768MB/s] model-00001-of-00003.safetensors: 42%|████▏ | 2.08G/4.94G [00:05<00:03, 869MB/s] model-00001-of-00003.safetensors: 44%|████▍ | 2.18G/4.94G [00:05<00:03, 858MB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.29G/4.94G [00:06<00:02, 903MB/s] model-00001-of-00003.safetensors: 51%|█████ | 2.52G/4.94G [00:06<00:01, 1.26GB/s] model-00001-of-00003.safetensors: 55%|█████▍ | 2.71G/4.94G [00:06<00:01, 1.40GB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 2.85G/4.94G [00:06<00:01, 1.07GB/s] model-00001-of-00003.safetensors: 60%|██████ | 2.98G/4.94G [00:06<00:02, 825MB/s] model-00001-of-00003.safetensors: 62%|██████▏ | 3.08G/4.94G [00:06<00:02, 649MB/s] model-00001-of-00003.safetensors: 64%|██████▍ | 3.17G/4.94G [00:07<00:02, 634MB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 3.25G/4.94G [00:07<00:03, 560MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 3.33G/4.94G [00:07<00:02, 587MB/s] model-00001-of-00003.safetensors: 70%|██████▉ | 3.44G/4.94G [00:07<00:02, 677MB/s] model-00001-of-00003.safetensors: 71%|███████▏ | 3.53G/4.94G [00:07<00:01, 707MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 3.62G/4.94G [00:07<00:01, 665MB/s] model-00001-of-00003.safetensors: 75%|███████▌ | 3.71G/4.94G [00:07<00:01, 706MB/s] model-00001-of-00003.safetensors: 77%|███████▋ | 3.80G/4.94G [00:08<00:01, 682MB/s] model-00001-of-00003.safetensors: 80%|███████▉ | 3.93G/4.94G [00:08<00:01, 839MB/s] model-00001-of-00003.safetensors: 81%|████████▏ | 4.03G/4.94G [00:08<00:01, 697MB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.11G/4.94G [00:08<00:01, 715MB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 4.26G/4.94G [00:08<00:00, 853MB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 4.35G/4.94G [00:08<00:00, 815MB/s] model-00001-of-00003.safetensors: 90%|████████▉ | 4.45G/4.94G [00:08<00:00, 778MB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 4.60G/4.94G [00:08<00:00, 930MB/s] model-00001-of-00003.safetensors: 96%|█████████▌| 4.73G/4.94G [00:09<00:00, 1.04GB/s] model-00001-of-00003.safetensors: 99%|█████████▊| 4.88G/4.94G [00:09<00:00, 1.04GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:09<00:00, 512MB/s]
decem-dionysus-mistral-m3-v6-v9-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<08:25, 9.88MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/5.00G [00:02<10:10, 8.15MB/s] model-00002-of-00003.safetensors: 1%| | 41.9M/5.00G [00:02<04:05, 20.2MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:02<01:56, 42.2MB/s] model-00002-of-00003.safetensors: 2%|▏ | 94.4M/5.00G [00:02<01:26, 56.9MB/s] model-00002-of-00003.safetensors: 3%|▎ | 157M/5.00G [00:03<00:39, 121MB/s] model-00002-of-00003.safetensors: 5%|▍ | 241M/5.00G [00:03<00:21, 222MB/s] model-00002-of-00003.safetensors: 8%|▊ | 388M/5.00G [00:03<00:10, 426MB/s] model-00002-of-00003.safetensors: 9%|▉ | 472M/5.00G [00:03<00:09, 488MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 587M/5.00G [00:03<00:07, 624MB/s] model-00002-of-00003.safetensors: 14%|█▎ | 682M/5.00G [00:03<00:06, 660MB/s] model-00002-of-00003.safetensors: 17%|█▋ | 828M/5.00G [00:03<00:04, 839MB/s] model-00002-of-00003.safetensors: 22%|██▏ | 1.09G/5.00G [00:03<00:03, 1.11GB/s] model-00002-of-00003.safetensors: 24%|██▍ | 1.22G/5.00G [00:04<00:06, 560MB/s] model-00002-of-00003.safetensors: 27%|██▋ | 1.34G/5.00G [00:04<00:05, 626MB/s] model-00002-of-00003.safetensors: 29%|██▊ | 1.44G/5.00G [00:04<00:05, 619MB/s] model-00002-of-00003.safetensors: 31%|███ | 1.53G/5.00G [00:04<00:05, 666MB/s] model-00002-of-00003.safetensors: 34%|███▎ | 1.68G/5.00G [00:04<00:04, 821MB/s] model-00002-of-00003.safetensors: 36%|███▋ | 1.82G/5.00G [00:05<00:03, 927MB/s] model-00002-of-00003.safetensors: 39%|███▉ | 1.94G/5.00G [00:05<00:03, 890MB/s] model-00002-of-00003.safetensors: 42%|████▏ | 2.08G/5.00G [00:05<00:02, 985MB/s] model-00002-of-00003.safetensors: 45%|████▌ | 2.25G/5.00G [00:05<00:02, 1.09GB/s] model-00002-of-00003.safetensors: 48%|████▊ | 2.38G/5.00G [00:05<00:02, 1.09GB/s] model-00002-of-00003.safetensors: 54%|█████▍ | 2.71G/5.00G [00:05<00:01, 1.62GB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 2.88G/5.00G [00:05<00:01, 1.14GB/s] model-00002-of-00003.safetensors: 61%|██████ | 3.03G/5.00G [00:06<00:02, 875MB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 3.15G/5.00G [00:06<00:02, 684MB/s] model-00002-of-00003.safetensors: 65%|██████▍ | 3.24G/5.00G [00:06<00:02, 689MB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.33G/5.00G [00:06<00:02, 659MB/s] model-00002-of-00003.safetensors: 68%|██████▊ | 3.42G/5.00G [00:06<00:02, 635MB/s] model-00002-of-00003.safetensors: 72%|███████▏ | 3.58G/5.00G [00:07<00:01, 763MB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.67G/5.00G [00:07<00:01, 757MB/s] model-00002-of-00003.safetensors: 76%|███████▌ | 3.80G/5.00G [00:07<00:01, 849MB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.92G/5.00G [00:07<00:01, 877MB/s] model-00002-of-00003.safetensors: 80%|████████ | 4.02G/5.00G [00:07<00:01, 856MB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 4.11G/5.00G [00:07<00:01, 844MB/s] model-00002-of-00003.safetensors: 84%|████████▍ | 4.20G/5.00G [00:07<00:00, 809MB/s] model-00002-of-00003.safetensors: 86%|████████▌ | 4.31G/5.00G [00:07<00:00, 836MB/s] model-00002-of-00003.safetensors: 88%|████████▊ | 4.40G/5.00G [00:08<00:00, 769MB/s] model-00002-of-00003.safetensors: 90%|█████████ | 4.51G/5.00G [00:08<00:00, 807MB/s] model-00002-of-00003.safetensors: 92%|█████████▏| 4.62G/5.00G [00:08<00:00, 868MB/s] model-00002-of-00003.safetensors: 98%|█████████▊| 4.91G/5.00G [00:08<00:00, 1.38GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:08<00:00, 590MB/s]
decem-dionysus-mistral-m3-v6-v9-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<07:28, 10.1MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:02<10:15, 7.34MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:02<04:06, 18.2MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:02<01:54, 39.1MB/s] model-00003-of-00003.safetensors: 2%|▏ | 94.4M/4.54G [00:03<01:22, 54.0MB/s] model-00003-of-00003.safetensors: 4%|▍ | 189M/4.54G [00:03<00:27, 156MB/s] model-00003-of-00003.safetensors: 7%|▋ | 336M/4.54G [00:03<00:12, 338MB/s] model-00003-of-00003.safetensors: 9%|▉ | 419M/4.54G [00:03<00:10, 405MB/s] model-00003-of-00003.safetensors: 11%|█ | 493M/4.54G [00:03<00:08, 461MB/s] model-00003-of-00003.safetensors: 15%|█▍ | 661M/4.54G [00:03<00:05, 714MB/s] model-00003-of-00003.safetensors: 18%|█▊ | 818M/4.54G [00:03<00:04, 864MB/s] model-00003-of-00003.safetensors: 23%|██▎ | 1.04G/4.54G [00:03<00:03, 1.15GB/s] model-00003-of-00003.safetensors: 26%|██▌ | 1.17G/4.54G [00:04<00:07, 441MB/s] model-00003-of-00003.safetensors: 28%|██▊ | 1.28G/4.54G [00:04<00:06, 479MB/s] model-00003-of-00003.safetensors: 30%|███ | 1.37G/4.54G [00:05<00:06, 460MB/s] model-00003-of-00003.safetensors: 32%|███▏ | 1.47G/4.54G [00:05<00:05, 526MB/s] model-00003-of-00003.safetensors: 35%|███▍ | 1.57G/4.54G [00:05<00:05, 570MB/s] model-00003-of-00003.safetensors: 39%|███▉ | 1.77G/4.54G [00:05<00:03, 820MB/s] model-00003-of-00003.safetensors: 42%|████▏ | 1.89G/4.54G [00:05<00:03, 867MB/s] model-00003-of-00003.safetensors: 45%|████▌ | 2.06G/4.54G [00:05<00:02, 1.04GB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.19G/4.54G [00:05<00:02, 1.11GB/s] model-00003-of-00003.safetensors: 51%|█████▏ | 2.33G/4.54G [00:05<00:02, 1.09GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.62G/4.54G [00:05<00:01, 1.54GB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 2.80G/4.54G [00:06<00:02, 760MB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.94G/4.54G [00:06<00:02, 614MB/s] model-00003-of-00003.safetensors: 67%|██████▋ | 3.04G/4.54G [00:07<00:02, 556MB/s] model-00003-of-00003.safetensors: 69%|██████▉ | 3.12G/4.54G [00:07<00:02, 526MB/s] model-00003-of-00003.safetensors: 71%|███████ | 3.22G/4.54G [00:07<00:02, 573MB/s] model-00003-of-00003.safetensors: 73%|███████▎ | 3.30G/4.54G [00:07<00:02, 561MB/s] model-00003-of-00003.safetensors: 78%|███████▊ | 3.54G/4.54G [00:07<00:01, 845MB/s] model-00003-of-00003.safetensors: 81%|████████ | 3.67G/4.54G [00:07<00:00, 885MB/s] model-00003-of-00003.safetensors: 83%|████████▎ | 3.77G/4.54G [00:07<00:00, 869MB/s] model-00003-of-00003.safetensors: 85%|████████▌ | 3.88G/4.54G [00:08<00:00, 765MB/s] model-00003-of-00003.safetensors: 88%|████████▊ | 3.97G/4.54G [00:08<00:00, 748MB/s] model-00003-of-00003.safetensors: 90%|█████████ | 4.10G/4.54G [00:08<00:00, 852MB/s] model-00003-of-00003.safetensors: 93%|█████████▎| 4.23G/4.54G [00:08<00:00, 913MB/s] model-00003-of-00003.safetensors: 96%|█████████▌| 4.34G/4.54G [00:08<00:00, 965MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:08<00:00, 521MB/s]
decem-dionysus-mistral-m3-v6-v9-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, 125MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: special_tokens_map.json: 0%| | 0.00/510 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 510/510 [00:00<00:00, 4.30MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 11.9MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 11.9MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.24MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.24MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.07k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.07k/1.07k [00:00<00:00, 9.72MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Downloaded to shared memory in 33.306s
decem-dionysus-mistral-m3-v6-v9-mkmlizer: quantizing model to /dev/shm/model_cache
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Saving mkml model at /dev/shm/model_cache
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Reading /tmp/tmpubs60hyz/model.safetensors.index.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:08, 1.27s/it] Profiling: 4%|▍ | 13/291 [00:01<00:21, 12.76it/s] Profiling: 9%|▉ | 27/291 [00:01<00:09, 28.72it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 40.71it/s] Profiling: 19%|█▊ | 54/291 [00:01<00:03, 61.75it/s] Profiling: 23%|██▎ | 67/291 [00:01<00:03, 74.08it/s] Profiling: 28%|██▊ | 82/291 [00:01<00:02, 87.62it/s] Profiling: 33%|███▎ | 96/291 [00:02<00:01, 99.40it/s] Profiling: 37%|███▋ | 109/291 [00:02<00:02, 61.47it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:02, 70.76it/s] Profiling: 46%|████▋ | 135/291 [00:02<00:01, 83.93it/s] Profiling: 51%|█████ | 148/291 [00:02<00:01, 92.65it/s] Profiling: 56%|█████▌ | 162/291 [00:02<00:01, 102.61it/s] Profiling: 60%|██████ | 175/291 [00:02<00:01, 106.75it/s] Profiling: 65%|██████▌ | 190/291 [00:03<00:00, 117.57it/s] Profiling: 70%|███████ | 204/291 [00:04<00:03, 24.07it/s] Profiling: 74%|███████▎ | 214/291 [00:04<00:02, 29.09it/s] Profiling: 79%|███████▊ | 229/291 [00:04<00:01, 39.90it/s] Profiling: 82%|████████▏ | 240/291 [00:05<00:01, 47.45it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 62.89it/s] Profiling: 92%|█████████▏| 269/291 [00:05<00:00, 73.05it/s] Profiling: 98%|█████████▊| 284/291 [00:05<00:00, 85.91it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 51.91it/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: quantized model in 18.044s
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Processed model decem/Dionysus-Mistral-m3-v6 in 52.404s
decem-dionysus-mistral-m3-v6-v9-mkmlizer: creating bucket guanaco-mkml-models
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
decem-dionysus-mistral-m3-v6-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/config.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/tokenizer_config.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/special_tokens_map.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/tokenizer.model
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/tokenizer.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v9/mkml_model.tensors
decem-dionysus-mistral-m3-v6-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
decem-dionysus-mistral-m3-v6-v9-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.
decem-dionysus-mistral-m3-v6-v9-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v9-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 13.2MB/s]
decem-dionysus-mistral-m3-v6-v9-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.
decem-dionysus-mistral-m3-v6-v9-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v9-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.76MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.38MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.37MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 23.4MB/s]
decem-dionysus-mistral-m3-v6-v9-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.
decem-dionysus-mistral-m3-v6-v9-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v9-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<02:09, 11.1MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:01, 23.3MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:38, 36.5MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:01<00:28, 48.7MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:01<00:26, 51.4MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:01<00:09, 134MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:02<00:05, 231MB/s] pytorch_model.bin: 44%|████▍ | 640M/1.44G [00:02<00:00, 1.02GB/s] pytorch_model.bin: 78%|███████▊ | 1.12G/1.44G [00:02<00:00, 1.75GB/s] pytorch_model.bin: 94%|█████████▍| 1.36G/1.44G [00:02<00:00, 1.89GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 590MB/s]
decem-dionysus-mistral-m3-v6-v9-mkmlizer: creating bucket guanaco-reward-models
decem-dionysus-mistral-m3-v6-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
decem-dionysus-mistral-m3-v6-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/config.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/special_tokens_map.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/tokenizer_config.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/merges.txt
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/vocab.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/tokenizer.json
decem-dionysus-mistral-m3-v6-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v9_reward/reward.tensors
Job decem-dionysus-mistral-m3-v6-v9-mkmlizer completed after 85.78s with status: succeeded
Stopping job with name decem-dionysus-mistral-m3-v6-v9-mkmlizer
Pipeline stage MKMLizer completed in 91.23s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service decem-dionysus-mistral-m3-v6-v9
Waiting for inference service decem-dionysus-mistral-m3-v6-v9 to be ready
Inference service decem-dionysus-mistral-m3-v6-v9 ready after 40.21410274505615s
Pipeline stage ISVCDeployer completed in 48.41s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7425053119659424s
Received healthy response to inference request in 1.2087550163269043s
Received healthy response to inference request in 1.1942884922027588s
Received healthy response to inference request in 1.1719746589660645s
Received healthy response to inference request in 1.1803197860717773s
5 requests
0 failed requests
5th percentile: 1.1736436843872071
10th percentile: 1.1753127098083496
20th percentile: 1.1786507606506347
30th percentile: 1.1831135272979736
40th percentile: 1.1887010097503663
50th percentile: 1.1942884922027588
60th percentile: 1.200075101852417
70th percentile: 1.205861711502075
80th percentile: 1.315505075454712
90th percentile: 1.5290051937103273
95th percentile: 1.6357552528381347
99th percentile: 1.7211553001403808
mean time: 1.2995686531066895
Pipeline stage StressChecker completed in 7.44s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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
decem-dionysus-mistral-m3-v6_v9 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of decem-dionysus-mistral-m3-v6_v9
Running pipeline stage ISVCDeleter
Checking if service decem-dionysus-mistral-m3-v6-v9 is running
Tearing down inference service decem-dionysus-mistral-m3-v6-v9
Toredown service decem-dionysus-mistral-m3-v6-v9
Pipeline stage ISVCDeleter completed in 3.98s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key decem-dionysus-mistral-m3-v6-v9/config.json from bucket guanaco-mkml-models
Deleting key decem-dionysus-mistral-m3-v6-v9/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key decem-dionysus-mistral-m3-v6-v9/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key decem-dionysus-mistral-m3-v6-v9/tokenizer.json from bucket guanaco-mkml-models
Deleting key decem-dionysus-mistral-m3-v6-v9/tokenizer.model from bucket guanaco-mkml-models
Deleting key decem-dionysus-mistral-m3-v6-v9/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/config.json from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/merges.txt from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/reward.tensors from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key decem-dionysus-mistral-m3-v6-v9_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.28s
decem-dionysus-mistral-m3-v6_v9 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics