submission_id: decem-dionysus-mistral-m3-v6_v10
developer_uid: chai_backend_admin
status: inactive
model_repo: decem/Dionysus-Mistral-m3-v6
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: 2024-04-02T16:58:34+00:00
model_name: auto_submit_ricum_mehosidace
model_eval_status: success
safety_score: 0.96
entertaining: 6.54
stay_in_character: 8.31
user_preference: 7.12
double_thumbs_up: 227
thumbs_up: 400
thumbs_down: 276
num_battles: 24116
num_wins: 9917
win_ratio: 0.4112207662962349
celo_rating: 1091.24
Resubmit model
Running pipeline stage MKMLizer
Starting job with name decem-dionysus-mistral-m3-v6-v10-mkmlizer
Waiting for job on decem-dionysus-mistral-m3-v6-v10-mkmlizer to finish
Stopping job with name decem-dionysus-mistral-m3-v6-v10-mkmlizer
%s, retrying in %s seconds...
Starting job with name decem-dionysus-mistral-m3-v6-v10-mkmlizer
Waiting for job on decem-dionysus-mistral-m3-v6-v10-mkmlizer to finish
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ _____ __ __ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ /___/ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ Version: 0.6.11 ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ The license key for the current software has been verified as ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ belonging to: ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ Chai Research Corp. ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ║ ║
decem-dionysus-mistral-m3-v6-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
decem-dionysus-mistral-m3-v6-v10-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 9.22MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: README.md: 0%| | 0.00/4.30k [00:00<?, ?B/s] README.md: 100%|██████████| 4.30k/4.30k [00:00<00:00, 29.8MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: config.json: 0%| | 0.00/600 [00:00<?, ?B/s] config.json: 100%|██████████| 600/600 [00:00<00:00, 9.57MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: dionysus.jpg: 0%| | 0.00/746k [00:00<?, ?B/s] dionysus.jpg: 100%|██████████| 746k/746k [00:00<00:00, 18.2MB/s]
decem-dionysus-mistral-m3-v6-v10-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 [00:00<05:11, 15.8MB/s] model-00001-of-00003.safetensors: 1%| | 41.9M/4.94G [00:00<01:15, 65.3MB/s] model-00001-of-00003.safetensors: 2%|▏ | 105M/4.94G [00:01<00:34, 139MB/s] model-00001-of-00003.safetensors: 3%|▎ | 126M/4.94G [00:01<00:40, 120MB/s] model-00001-of-00003.safetensors: 3%|▎ | 147M/4.94G [00:01<00:43, 111MB/s] model-00001-of-00003.safetensors: 3%|▎ | 168M/4.94G [00:01<00:42, 114MB/s] model-00001-of-00003.safetensors: 4%|▍ | 189M/4.94G [00:01<00:37, 127MB/s] model-00001-of-00003.safetensors: 4%|▍ | 220M/4.94G [00:01<00:28, 163MB/s] model-00001-of-00003.safetensors: 6%|▌ | 283M/4.94G [00:02<00:19, 236MB/s] model-00001-of-00003.safetensors: 6%|▋ | 315M/4.94G [00:02<00:21, 216MB/s] model-00001-of-00003.safetensors: 7%|▋ | 346M/4.94G [00:02<00:25, 183MB/s] model-00001-of-00003.safetensors: 8%|▊ | 398M/4.94G [00:02<00:18, 244MB/s] model-00001-of-00003.safetensors: 9%|▊ | 430M/4.94G [00:02<00:17, 252MB/s] model-00001-of-00003.safetensors: 10%|▉ | 482M/4.94G [00:02<00:14, 307MB/s] model-00001-of-00003.safetensors: 12%|█▏ | 608M/4.94G [00:02<00:09, 476MB/s] model-00001-of-00003.safetensors: 15%|█▌ | 765M/4.94G [00:03<00:06, 691MB/s] model-00001-of-00003.safetensors: 19%|█▊ | 923M/4.94G [00:03<00:04, 898MB/s] model-00001-of-00003.safetensors: 21%|██ | 1.03G/4.94G [00:03<00:04, 795MB/s] model-00001-of-00003.safetensors: 23%|██▎ | 1.12G/4.94G [00:03<00:06, 578MB/s] model-00001-of-00003.safetensors: 24%|██▍ | 1.20G/4.94G [00:03<00:06, 550MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 1.27G/4.94G [00:03<00:06, 542MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.33G/4.94G [00:04<00:06, 558MB/s] model-00001-of-00003.safetensors: 29%|██▊ | 1.42G/4.94G [00:04<00:05, 617MB/s] model-00001-of-00003.safetensors: 30%|███ | 1.49G/4.94G [00:04<00:06, 559MB/s] model-00001-of-00003.safetensors: 31%|███▏ | 1.55G/4.94G [00:04<00:06, 513MB/s] model-00001-of-00003.safetensors: 33%|███▎ | 1.64G/4.94G [00:04<00:05, 578MB/s] model-00001-of-00003.safetensors: 34%|███▍ | 1.70G/4.94G [00:04<00:06, 525MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 1.76G/4.94G [00:04<00:06, 521MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 1.88G/4.94G [00:04<00:04, 661MB/s] model-00001-of-00003.safetensors: 39%|███▉ | 1.95G/4.94G [00:05<00:04, 674MB/s] model-00001-of-00003.safetensors: 41%|████ | 2.02G/4.94G [00:05<00:04, 613MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.12G/4.94G [00:05<00:04, 689MB/s] model-00001-of-00003.safetensors: 44%|████▍ | 2.19G/4.94G [00:05<00:04, 676MB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.26G/4.94G [00:05<00:04, 595MB/s] model-00001-of-00003.safetensors: 47%|████▋ | 2.33G/4.94G [00:05<00:04, 593MB/s] model-00001-of-00003.safetensors: 48%|████▊ | 2.39G/4.94G [00:05<00:05, 500MB/s] model-00001-of-00003.safetensors: 50%|████▉ | 2.46G/4.94G [00:05<00:04, 552MB/s] model-00001-of-00003.safetensors: 52%|█████▏ | 2.57G/4.94G [00:06<00:03, 660MB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 2.64G/4.94G [00:06<00:03, 660MB/s] model-00001-of-00003.safetensors: 55%|█████▍ | 2.72G/4.94G [00:06<00:03, 679MB/s] model-00001-of-00003.safetensors: 56%|█████▋ | 2.79G/4.94G [00:06<00:03, 576MB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 2.85G/4.94G [00:06<00:03, 555MB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 2.92G/4.94G [00:06<00:03, 569MB/s] model-00001-of-00003.safetensors: 60%|██████ | 2.99G/4.94G [00:06<00:03, 564MB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 3.10G/4.94G [00:06<00:02, 714MB/s] model-00001-of-00003.safetensors: 64%|██████▍ | 3.19G/4.94G [00:07<00:02, 648MB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 3.26G/4.94G [00:07<00:02, 580MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 3.32G/4.94G [00:07<00:03, 440MB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 3.38G/4.94G [00:07<00:03, 447MB/s] model-00001-of-00003.safetensors: 70%|███████ | 3.46G/4.94G [00:07<00:03, 457MB/s] model-00001-of-00003.safetensors: 71%|███████ | 3.51G/4.94G [00:07<00:03, 394MB/s] model-00001-of-00003.safetensors: 74%|███████▍ | 3.68G/4.94G [00:08<00:01, 637MB/s] model-00001-of-00003.safetensors: 76%|███████▌ | 3.76G/4.94G [00:08<00:02, 511MB/s] model-00001-of-00003.safetensors: 77%|███████▋ | 3.83G/4.94G [00:08<00:02, 418MB/s] model-00001-of-00003.safetensors: 79%|███████▊ | 3.89G/4.94G [00:08<00:02, 399MB/s] model-00001-of-00003.safetensors: 80%|███████▉ | 3.94G/4.94G [00:08<00:02, 412MB/s] model-00001-of-00003.safetensors: 81%|████████ | 4.02G/4.94G [00:08<00:01, 476MB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.08G/4.94G [00:09<00:01, 482MB/s] model-00001-of-00003.safetensors: 84%|████████▍ | 4.14G/4.94G [00:09<00:01, 498MB/s] model-00001-of-00003.safetensors: 85%|████████▌ | 4.23G/4.94G [00:09<00:01, 575MB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 4.34G/4.94G [00:09<00:00, 629MB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 4.41G/4.94G [00:09<00:00, 653MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.55G/4.94G [00:09<00:00, 763MB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 4.63G/4.94G [00:09<00:00, 602MB/s] model-00001-of-00003.safetensors: 95%|█████████▌| 4.70G/4.94G [00:10<00:00, 483MB/s] model-00001-of-00003.safetensors: 96%|█████████▋| 4.76G/4.94G [00:10<00:00, 446MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 4.82G/4.94G [00:10<00:00, 424MB/s] model-00001-of-00003.safetensors: 99%|█████████▊| 4.87G/4.94G [00:10<00:00, 259MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 4.91G/4.94G [00:11<00:00, 205MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:12<00:00, 78.5MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:12<00:00, 387MB/s]
decem-dionysus-mistral-m3-v6-v10-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 [00:00<05:08, 16.2MB/s] model-00002-of-00003.safetensors: 1%| | 41.9M/5.00G [00:00<01:11, 69.1MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:00<00:44, 110MB/s] model-00002-of-00003.safetensors: 2%|▏ | 94.4M/5.00G [00:01<00:45, 107MB/s] model-00002-of-00003.safetensors: 2%|▏ | 115M/5.00G [00:01<00:38, 125MB/s] model-00002-of-00003.safetensors: 3%|▎ | 136M/5.00G [00:01<00:37, 129MB/s] model-00002-of-00003.safetensors: 3%|▎ | 168M/5.00G [00:01<00:30, 160MB/s] model-00002-of-00003.safetensors: 4%|▍ | 189M/5.00G [00:01<00:29, 163MB/s] model-00002-of-00003.safetensors: 5%|▌ | 252M/5.00G [00:01<00:17, 265MB/s] model-00002-of-00003.safetensors: 6%|▌ | 283M/5.00G [00:01<00:19, 237MB/s] model-00002-of-00003.safetensors: 6%|▋ | 315M/5.00G [00:02<00:22, 212MB/s] model-00002-of-00003.safetensors: 9%|▉ | 440M/5.00G [00:02<00:11, 409MB/s] model-00002-of-00003.safetensors: 10%|▉ | 493M/5.00G [00:02<00:11, 395MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 577M/5.00G [00:02<00:09, 472MB/s] model-00002-of-00003.safetensors: 14%|█▎ | 682M/5.00G [00:02<00:07, 598MB/s] model-00002-of-00003.safetensors: 15%|█▌ | 765M/5.00G [00:02<00:06, 655MB/s] model-00002-of-00003.safetensors: 19%|█▉ | 944M/5.00G [00:02<00:04, 931MB/s] model-00002-of-00003.safetensors: 22%|██▏ | 1.08G/5.00G [00:02<00:03, 1.03GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.41G/5.00G [00:03<00:02, 1.63GB/s] model-00002-of-00003.safetensors: 32%|███▏ | 1.58G/5.00G [00:03<00:02, 1.35GB/s] model-00002-of-00003.safetensors: 35%|███▍ | 1.74G/5.00G [00:03<00:03, 834MB/s] model-00002-of-00003.safetensors: 37%|███▋ | 1.87G/5.00G [00:03<00:03, 789MB/s] model-00002-of-00003.safetensors: 39%|███▉ | 1.97G/5.00G [00:03<00:03, 822MB/s] model-00002-of-00003.safetensors: 42%|████▏ | 2.08G/5.00G [00:03<00:03, 852MB/s] model-00002-of-00003.safetensors: 44%|████▍ | 2.20G/5.00G [00:04<00:03, 916MB/s] model-00002-of-00003.safetensors: 46%|████▌ | 2.31G/5.00G [00:04<00:02, 931MB/s] model-00002-of-00003.safetensors: 50%|████▉ | 2.50G/5.00G [00:04<00:02, 1.17GB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 2.63G/5.00G [00:04<00:02, 1.16GB/s] model-00002-of-00003.safetensors: 55%|█████▌ | 2.76G/5.00G [00:04<00:02, 837MB/s] model-00002-of-00003.safetensors: 57%|█████▋ | 2.86G/5.00G [00:04<00:02, 767MB/s] model-00002-of-00003.safetensors: 60%|█████▉ | 2.99G/5.00G [00:04<00:02, 862MB/s] model-00002-of-00003.safetensors: 62%|██████▏ | 3.09G/5.00G [00:05<00:02, 903MB/s] model-00002-of-00003.safetensors: 64%|██████▍ | 3.22G/5.00G [00:05<00:01, 974MB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 3.33G/5.00G [00:05<00:02, 769MB/s] model-00002-of-00003.safetensors: 69%|██████▊ | 3.43G/5.00G [00:05<00:02, 714MB/s] model-00002-of-00003.safetensors: 70%|███████ | 3.51G/5.00G [00:05<00:02, 718MB/s] model-00002-of-00003.safetensors: 72%|███████▏ | 3.61G/5.00G [00:05<00:01, 767MB/s] model-00002-of-00003.safetensors: 74%|███████▍ | 3.71G/5.00G [00:05<00:01, 824MB/s] model-00002-of-00003.safetensors: 76%|███████▌ | 3.81G/5.00G [00:06<00:01, 697MB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.89G/5.00G [00:06<00:01, 658MB/s] model-00002-of-00003.safetensors: 80%|███████▉ | 3.98G/5.00G [00:06<00:01, 720MB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 4.12G/5.00G [00:06<00:01, 871MB/s] model-00002-of-00003.safetensors: 85%|████████▍ | 4.24G/5.00G [00:06<00:00, 880MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 4.33G/5.00G [00:06<00:00, 837MB/s] model-00002-of-00003.safetensors: 91%|█████████ | 4.53G/5.00G [00:06<00:00, 1.12GB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 4.67G/5.00G [00:06<00:00, 1.17GB/s] model-00002-of-00003.safetensors: 96%|█████████▌| 4.79G/5.00G [00:06<00:00, 1.10GB/s] model-00002-of-00003.safetensors: 98%|█████████▊| 4.91G/5.00G [00:07<00:00, 1.05GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:07<00:00, 672MB/s]
decem-dionysus-mistral-m3-v6-v10-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 [00:00<06:33, 11.5MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:01<03:11, 23.5MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:01<01:39, 45.2MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:01<00:54, 82.1MB/s] model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:01<00:28, 156MB/s] model-00003-of-00003.safetensors: 4%|▍ | 178M/4.54G [00:01<00:20, 213MB/s] model-00003-of-00003.safetensors: 5%|▍ | 210M/4.54G [00:01<00:25, 173MB/s] model-00003-of-00003.safetensors: 5%|▌ | 241M/4.54G [00:02<00:22, 191MB/s] model-00003-of-00003.safetensors: 6%|▌ | 273M/4.54G [00:02<00:20, 209MB/s] model-00003-of-00003.safetensors: 9%|▉ | 409M/4.54G [00:02<00:10, 402MB/s] model-00003-of-00003.safetensors: 10%|█ | 461M/4.54G [00:02<00:11, 343MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 566M/4.54G [00:02<00:08, 473MB/s] model-00003-of-00003.safetensors: 15%|█▌ | 692M/4.54G [00:02<00:06, 623MB/s] model-00003-of-00003.safetensors: 20%|█▉ | 891M/4.54G [00:02<00:03, 924MB/s] model-00003-of-00003.safetensors: 22%|██▏ | 1.01G/4.54G [00:02<00:03, 946MB/s] model-00003-of-00003.safetensors: 29%|██▉ | 1.32G/4.54G [00:03<00:02, 1.50GB/s] model-00003-of-00003.safetensors: 33%|███▎ | 1.49G/4.54G [00:03<00:02, 1.13GB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.64G/4.54G [00:03<00:04, 709MB/s] model-00003-of-00003.safetensors: 39%|███▊ | 1.75G/4.54G [00:03<00:04, 681MB/s] model-00003-of-00003.safetensors: 41%|████ | 1.87G/4.54G [00:04<00:03, 757MB/s] model-00003-of-00003.safetensors: 43%|████▎ | 1.97G/4.54G [00:04<00:03, 782MB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.16G/4.54G [00:04<00:02, 1.00GB/s] model-00003-of-00003.safetensors: 51%|█████ | 2.31G/4.54G [00:04<00:02, 1.11GB/s] model-00003-of-00003.safetensors: 55%|█████▍ | 2.47G/4.54G [00:04<00:01, 1.20GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.61G/4.54G [00:04<00:02, 939MB/s] model-00003-of-00003.safetensors: 60%|██████ | 2.73G/4.54G [00:05<00:02, 681MB/s] model-00003-of-00003.safetensors: 62%|██████▏ | 2.82G/4.54G [00:05<00:02, 683MB/s] model-00003-of-00003.safetensors: 64%|██████▍ | 2.92G/4.54G [00:05<00:02, 726MB/s] model-00003-of-00003.safetensors: 66%|██████▋ | 3.01G/4.54G [00:05<00:02, 673MB/s] model-00003-of-00003.safetensors: 69%|██████▉ | 3.15G/4.54G [00:05<00:01, 817MB/s] model-00003-of-00003.safetensors: 71%|███████▏ | 3.24G/4.54G [00:05<00:01, 842MB/s] model-00003-of-00003.safetensors: 73%|███████▎ | 3.33G/4.54G [00:05<00:01, 697MB/s] model-00003-of-00003.safetensors: 76%|███████▌ | 3.44G/4.54G [00:05<00:01, 756MB/s] model-00003-of-00003.safetensors: 78%|███████▊ | 3.53G/4.54G [00:06<00:01, 742MB/s] model-00003-of-00003.safetensors: 80%|███████▉ | 3.62G/4.54G [00:06<00:01, 719MB/s] model-00003-of-00003.safetensors: 82%|████████▏ | 3.70G/4.54G [00:06<00:01, 715MB/s] model-00003-of-00003.safetensors: 84%|████████▎ | 3.80G/4.54G [00:06<00:01, 733MB/s] model-00003-of-00003.safetensors: 87%|████████▋ | 3.95G/4.54G [00:06<00:00, 910MB/s] model-00003-of-00003.safetensors: 90%|█████████ | 4.10G/4.54G [00:06<00:00, 1.03GB/s] model-00003-of-00003.safetensors: 93%|█████████▎| 4.22G/4.54G [00:06<00:00, 1.03GB/s] model-00003-of-00003.safetensors: 97%|█████████▋| 4.41G/4.54G [00:06<00:00, 1.25GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:07<00:00, 617MB/s]
decem-dionysus-mistral-m3-v6-v10-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, 118MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: special_tokens_map.json: 0%| | 0.00/510 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 510/510 [00:00<00:00, 4.68MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 59.3MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 19.5MB/s]
decem-dionysus-mistral-m3-v6-v10-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, 10.7MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Downloaded to shared memory in 55.898s
decem-dionysus-mistral-m3-v6-v10-mkmlizer: quantizing model to /dev/shm/model_cache
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Saving mkml model at /dev/shm/model_cache
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Reading /tmp/tmpiq9k_dlk/model.safetensors.index.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:48, 1.41s/it] Profiling: 5%|▍ | 14/291 [00:01<00:21, 12.61it/s] Profiling: 11%|█ | 32/291 [00:01<00:08, 31.96it/s] Profiling: 16%|█▌ | 47/291 [00:01<00:05, 48.38it/s] Profiling: 22%|██▏ | 65/291 [00:01<00:03, 69.16it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 88.46it/s] Profiling: 34%|███▎ | 98/291 [00:02<00:02, 74.73it/s] Profiling: 38%|███▊ | 112/291 [00:02<00:02, 86.47it/s] Profiling: 45%|████▍ | 130/291 [00:02<00:01, 103.35it/s] Profiling: 51%|█████ | 148/291 [00:02<00:01, 117.96it/s] Profiling: 57%|█████▋ | 166/291 [00:02<00:00, 129.99it/s] Profiling: 63%|██████▎ | 184/291 [00:02<00:00, 138.59it/s] Profiling: 70%|███████ | 204/291 [00:04<00:02, 32.03it/s] Profiling: 74%|███████▍ | 216/291 [00:04<00:01, 38.26it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 48.21it/s] Profiling: 86%|████████▌ | 249/291 [00:04<00:00, 62.48it/s] Profiling: 92%|█████████▏| 267/291 [00:04<00:00, 77.30it/s] Profiling: 98%|█████████▊| 285/291 [00:04<00:00, 91.97it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 57.28it/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: quantized model in 17.318s
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Processed model decem/Dionysus-Mistral-m3-v6 in 74.046s
decem-dionysus-mistral-m3-v6-v10-mkmlizer: creating bucket guanaco-mkml-models
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
decem-dionysus-mistral-m3-v6-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/config.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/special_tokens_map.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/tokenizer_config.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/tokenizer.model
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/tokenizer.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/decem-dionysus-mistral-m3-v6-v10/mkml_model.tensors
decem-dionysus-mistral-m3-v6-v10-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
decem-dionysus-mistral-m3-v6-v10-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-v10-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v10-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.3MB/s]
decem-dionysus-mistral-m3-v6-v10-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-v10-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v10-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.65MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 14.7MB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 6.11MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 6.09MB/s]
decem-dionysus-mistral-m3-v6-v10-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-v10-mkmlizer: warnings.warn(
decem-dionysus-mistral-m3-v6-v10-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:28, 50.0MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:07, 197MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:03, 340MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 466MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:00<00:03, 358MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:03, 351MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:01<00:02, 368MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:01<00:01, 657MB/s] pytorch_model.bin: 54%|█████▍ | 786M/1.44G [00:01<00:00, 1.21GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.07GB/s]
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Saving duration: 0.294s
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.144s
decem-dionysus-mistral-m3-v6-v10-mkmlizer: creating bucket guanaco-reward-models
decem-dionysus-mistral-m3-v6-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
decem-dionysus-mistral-m3-v6-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/config.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/tokenizer_config.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/vocab.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/merges.txt
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/special_tokens_map.json
decem-dionysus-mistral-m3-v6-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/decem-dionysus-mistral-m3-v6-v10_reward/tokenizer.json
Job decem-dionysus-mistral-m3-v6-v10-mkmlizer completed after 105.88s with status: succeeded
Stopping job with name decem-dionysus-mistral-m3-v6-v10-mkmlizer
Pipeline stage MKMLizer completed in 109.93s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service decem-dionysus-mistral-m3-v6-v10
Waiting for inference service decem-dionysus-mistral-m3-v6-v10 to be ready
Inference service decem-dionysus-mistral-m3-v6-v10 ready after 40.21025538444519s
Pipeline stage ISVCDeployer completed in 47.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0836389064788818s
Received healthy response to inference request in 1.3605012893676758s
Received healthy response to inference request in 0.6784975528717041s
Received healthy response to inference request in 1.0669455528259277s
Received healthy response to inference request in 0.687401533126831s
5 requests
0 failed requests
5th percentile: 0.6802783489227295
10th percentile: 0.6820591449737549
20th percentile: 0.6856207370758056
30th percentile: 0.7633103370666504
40th percentile: 0.9151279449462891
50th percentile: 1.0669455528259277
60th percentile: 1.0736228942871093
70th percentile: 1.080300235748291
80th percentile: 1.1390113830566406
90th percentile: 1.2497563362121582
95th percentile: 1.305128812789917
99th percentile: 1.349426794052124
mean time: 0.9753969669342041
Pipeline stage StressChecker completed in 5.83s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
decem-dionysus-mistral-m3-v6_v10 status is now deployed due to DeploymentManager action
decem-dionysus-mistral-m3-v6_v10 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics