submission_id: cgato-thespice-7b-quick-_3508_v3
developer_uid: c.gato
best_of: 16
celo_rating: 1180.47
display_name: cgato-thespice-7b-quick-_3508_v3
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} responds in one line.\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}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/TheSpice-7b-Quick-v0.2.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-Quick-
model_name: cgato-thespice-7b-quick-_3508_v3
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-Quick-v0.2.1
model_size: 7B
num_battles: 6457
num_wins: 3563
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} gives single line responses.\n{bot_name} gives short responses.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-16T02:42:04+00:00
us_pacific_date: 2024-04-15
win_ratio: 0.5518042434567136
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-quick-3508-v3-mkmlizer
Waiting for job on cgato-thespice-7b-quick-3508-v3-mkmlizer to finish
cgato-thespice-7b-quick-3508-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ /___/ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ║ ║
cgato-thespice-7b-quick-3508-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-quick-3508-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 12.8MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 285kB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 10.4MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 2.19MB/s]
cgato-thespice-7b-quick-3508-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 [00:00<03:58, 20.7MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:00<01:29, 55.1MB/s] model-00001-of-00003.safetensors: 4%|▍ | 189M/4.94G [00:00<00:15, 301MB/s] model-00001-of-00003.safetensors: 7%|▋ | 346M/4.94G [00:01<00:10, 456MB/s] model-00001-of-00003.safetensors: 8%|▊ | 409M/4.94G [00:01<00:09, 486MB/s] model-00001-of-00003.safetensors: 10%|▉ | 493M/4.94G [00:01<00:08, 533MB/s] model-00001-of-00003.safetensors: 11%|█ | 556M/4.94G [00:01<00:08, 519MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 650M/4.94G [00:01<00:07, 591MB/s] model-00001-of-00003.safetensors: 15%|█▍ | 734M/4.94G [00:01<00:06, 617MB/s] model-00001-of-00003.safetensors: 16%|█▋ | 807M/4.94G [00:01<00:06, 637MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 902M/4.94G [00:01<00:05, 686MB/s] model-00001-of-00003.safetensors: 20%|██ | 1.01G/4.94G [00:02<00:05, 760MB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.10G/4.94G [00:02<00:05, 754MB/s] model-00001-of-00003.safetensors: 24%|██▍ | 1.18G/4.94G [00:02<00:06, 592MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.32G/4.94G [00:02<00:04, 747MB/s] model-00001-of-00003.safetensors: 28%|██▊ | 1.41G/4.94G [00:02<00:05, 658MB/s] model-00001-of-00003.safetensors: 32%|███▏ | 1.56G/4.94G [00:02<00:04, 808MB/s] model-00001-of-00003.safetensors: 34%|███▍ | 1.70G/4.94G [00:02<00:03, 928MB/s] model-00001-of-00003.safetensors: 36%|███▋ | 1.80G/4.94G [00:03<00:03, 873MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 1.90G/4.94G [00:03<00:03, 870MB/s] model-00001-of-00003.safetensors: 41%|████ | 2.03G/4.94G [00:03<00:03, 946MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.14G/4.94G [00:03<00:03, 773MB/s] model-00001-of-00003.safetensors: 45%|████▌ | 2.23G/4.94G [00:03<00:04, 634MB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 2.85G/4.94G [00:03<00:01, 1.75GB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.22G/4.94G [00:03<00:00, 2.17GB/s] model-00001-of-00003.safetensors: 71%|███████ | 3.49G/4.94G [00:04<00:00, 1.51GB/s] model-00001-of-00003.safetensors: 75%|███████▌ | 3.71G/4.94G [00:04<00:01, 1.19GB/s] model-00001-of-00003.safetensors: 79%|███████▊ | 3.89G/4.94G [00:04<00:00, 1.13GB/s] model-00001-of-00003.safetensors: 82%|████████▏ | 4.07G/4.94G [00:04<00:00, 1.24GB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 4.26G/4.94G [00:04<00:00, 1.36GB/s] model-00001-of-00003.safetensors: 90%|████████▉ | 4.43G/4.94G [00:05<00:00, 685MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.56G/4.94G [00:05<00:00, 720MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 4.79G/4.94G [00:05<00:00, 954MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:05<00:00, 850MB/s]
cgato-thespice-7b-quick-3508-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 [00:00<04:23, 18.9MB/s] model-00002-of-00003.safetensors: 4%|▎ | 178M/5.00G [00:00<00:18, 265MB/s] model-00002-of-00003.safetensors: 5%|▍ | 241M/5.00G [00:00<00:14, 319MB/s] model-00002-of-00003.safetensors: 8%|▊ | 377M/5.00G [00:01<00:09, 497MB/s] model-00002-of-00003.safetensors: 9%|▉ | 451M/5.00G [00:01<00:09, 461MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 577M/5.00G [00:01<00:08, 546MB/s] model-00002-of-00003.safetensors: 13%|█▎ | 650M/5.00G [00:01<00:08, 492MB/s] model-00002-of-00003.safetensors: 15%|█▍ | 744M/5.00G [00:01<00:07, 570MB/s] model-00002-of-00003.safetensors: 16%|█▋ | 818M/5.00G [00:01<00:07, 576MB/s] model-00002-of-00003.safetensors: 18%|█▊ | 923M/5.00G [00:01<00:06, 650MB/s] model-00002-of-00003.safetensors: 20%|██ | 1.02G/5.00G [00:02<00:05, 718MB/s] model-00002-of-00003.safetensors: 23%|██▎ | 1.17G/5.00G [00:02<00:04, 931MB/s] model-00002-of-00003.safetensors: 26%|██▌ | 1.28G/5.00G [00:02<00:03, 955MB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.38G/5.00G [00:02<00:03, 914MB/s] model-00002-of-00003.safetensors: 30%|██▉ | 1.49G/5.00G [00:02<00:04, 723MB/s] model-00002-of-00003.safetensors: 32%|███▏ | 1.59G/5.00G [00:02<00:04, 774MB/s] model-00002-of-00003.safetensors: 34%|███▍ | 1.72G/5.00G [00:02<00:03, 881MB/s] model-00002-of-00003.safetensors: 36%|███▋ | 1.82G/5.00G [00:03<00:05, 602MB/s] model-00002-of-00003.safetensors: 38%|███▊ | 1.91G/5.00G [00:03<00:05, 520MB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 2.88G/5.00G [00:03<00:00, 2.17GB/s] model-00002-of-00003.safetensors: 65%|██████▍ | 3.23G/5.00G [00:04<00:01, 1.32GB/s] model-00002-of-00003.safetensors: 70%|███████ | 3.51G/5.00G [00:04<00:00, 1.51GB/s] model-00002-of-00003.safetensors: 76%|███████▌ | 3.77G/5.00G [00:04<00:00, 1.35GB/s] model-00002-of-00003.safetensors: 80%|███████▉ | 4.00G/5.00G [00:04<00:00, 1.30GB/s] model-00002-of-00003.safetensors: 84%|████████▎ | 4.18G/5.00G [00:04<00:00, 930MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 4.33G/5.00G [00:06<00:01, 417MB/s] model-00002-of-00003.safetensors: 89%|████████▊ | 4.43G/5.00G [00:06<00:01, 450MB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 4.67G/5.00G [00:06<00:00, 631MB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:06<00:00, 775MB/s]
cgato-thespice-7b-quick-3508-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 [00:00<02:34, 29.4MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/4.54G [00:00<01:35, 47.4MB/s] model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:00<00:18, 239MB/s] model-00003-of-00003.safetensors: 5%|▌ | 241M/4.54G [00:00<00:10, 395MB/s] model-00003-of-00003.safetensors: 6%|▋ | 294M/4.54G [00:01<00:11, 371MB/s] model-00003-of-00003.safetensors: 8%|▊ | 367M/4.54G [00:01<00:10, 406MB/s] model-00003-of-00003.safetensors: 10%|█ | 472M/4.54G [00:01<00:07, 539MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 535M/4.54G [00:01<00:07, 546MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 608M/4.54G [00:01<00:07, 509MB/s] model-00003-of-00003.safetensors: 15%|█▌ | 703M/4.54G [00:01<00:06, 556MB/s] model-00003-of-00003.safetensors: 17%|█▋ | 776M/4.54G [00:01<00:06, 586MB/s] model-00003-of-00003.safetensors: 19%|█▉ | 881M/4.54G [00:01<00:05, 684MB/s] model-00003-of-00003.safetensors: 22%|██▏ | 986M/4.54G [00:02<00:04, 729MB/s] model-00003-of-00003.safetensors: 24%|██▍ | 1.08G/4.54G [00:02<00:04, 739MB/s] model-00003-of-00003.safetensors: 26%|██▌ | 1.16G/4.54G [00:02<00:04, 750MB/s] model-00003-of-00003.safetensors: 27%|██▋ | 1.25G/4.54G [00:02<00:05, 656MB/s] model-00003-of-00003.safetensors: 29%|██▉ | 1.32G/4.54G [00:02<00:05, 630MB/s] model-00003-of-00003.safetensors: 31%|███ | 1.39G/4.54G [00:02<00:05, 587MB/s] model-00003-of-00003.safetensors: 33%|███▎ | 1.48G/4.54G [00:02<00:04, 634MB/s] model-00003-of-00003.safetensors: 34%|███▍ | 1.55G/4.54G [00:02<00:05, 576MB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.61G/4.54G [00:03<00:08, 342MB/s] model-00003-of-00003.safetensors: 37%|███▋ | 1.67G/4.54G [00:03<00:09, 309MB/s] model-00003-of-00003.safetensors: 40%|████ | 1.82G/4.54G [00:03<00:05, 506MB/s] model-00003-of-00003.safetensors: 48%|████▊ | 2.18G/4.54G [00:03<00:02, 1.07GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.64G/4.54G [00:03<00:01, 1.77GB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.94G/4.54G [00:04<00:00, 2.02GB/s] model-00003-of-00003.safetensors: 70%|███████ | 3.19G/4.54G [00:04<00:01, 1.34GB/s] model-00003-of-00003.safetensors: 75%|███████▍ | 3.39G/4.54G [00:04<00:01, 1.06GB/s] model-00003-of-00003.safetensors: 78%|███████▊ | 3.54G/4.54G [00:04<00:01, 892MB/s] model-00003-of-00003.safetensors: 81%|████████ | 3.68G/4.54G [00:05<00:01, 556MB/s] model-00003-of-00003.safetensors: 83%|████████▎ | 3.79G/4.54G [00:06<00:01, 431MB/s] model-00003-of-00003.safetensors: 86%|████████▋ | 3.92G/4.54G [00:06<00:01, 521MB/s] model-00003-of-00003.safetensors: 88%|████████▊ | 4.02G/4.54G [00:06<00:00, 544MB/s] model-00003-of-00003.safetensors: 90%|█████████ | 4.10G/4.54G [00:06<00:00, 583MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:06<00:00, 695MB/s]
cgato-thespice-7b-quick-3508-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, 101MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 7.00MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 53.2MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:54, 1.43s/it] Profiling: 4%|▍ | 13/291 [00:01<00:24, 11.40it/s] Profiling: 9%|▉ | 27/291 [00:01<00:10, 25.71it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 37.31it/s] Profiling: 19%|█▊ | 54/291 [00:01<00:04, 56.57it/s] Profiling: 23%|██▎ | 66/291 [00:01<00:03, 67.22it/s] Profiling: 28%|██▊ | 81/291 [00:02<00:02, 83.05it/s] Profiling: 32%|███▏ | 94/291 [00:02<00:02, 89.54it/s] Profiling: 36%|███▋ | 106/291 [00:02<00:03, 59.14it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:02, 73.26it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 89.70it/s] Profiling: 52%|█████▏ | 151/291 [00:02<00:01, 98.04it/s] Profiling: 57%|█████▋ | 166/291 [00:03<00:01, 106.20it/s] Profiling: 62%|██████▏ | 179/291 [00:03<00:01, 110.92it/s] Profiling: 66%|██████▌ | 192/291 [00:03<00:00, 115.52it/s] Profiling: 70%|███████ | 205/291 [00:04<00:03, 22.98it/s] Profiling: 74%|███████▍ | 215/291 [00:05<00:02, 27.93it/s] Profiling: 79%|███████▉ | 230/291 [00:05<00:01, 38.15it/s] Profiling: 84%|████████▍ | 244/291 [00:05<00:00, 49.35it/s] Profiling: 88%|████████▊ | 257/291 [00:05<00:00, 59.99it/s] Profiling: 93%|█████████▎| 271/291 [00:05<00:00, 72.76it/s] Profiling: 98%|█████████▊| 284/291 [00:05<00:00, 83.16it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 50.08it/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: quantized model in 16.758s
cgato-thespice-7b-quick-3508-v3-mkmlizer: Processed model cgato/TheSpice-7b-Quick-v0.2.1 in 40.298s
cgato-thespice-7b-quick-3508-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-quick-3508-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-quick-3508-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/special_tokens_map.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/tokenizer.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/tokenizer.model
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/tokenizer_config.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/config.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-quick-3508-v3/mkml_model.tensors
cgato-thespice-7b-quick-3508-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-quick-3508-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.
cgato-thespice-7b-quick-3508-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-3508-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 6.45MB/s]
cgato-thespice-7b-quick-3508-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.
cgato-thespice-7b-quick-3508-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-3508-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.26MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 32.3MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 5.77MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 5.76MB/s]
cgato-thespice-7b-quick-3508-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.
cgato-thespice-7b-quick-3508-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-3508-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:20, 71.4MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:08, 162MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:17, 79.2MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:00<00:05, 229MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:04, 265MB/s] pytorch_model.bin: 22%|██▏ | 315M/1.44G [00:01<00:02, 456MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:01<00:02, 435MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:01<00:01, 601MB/s] pytorch_model.bin: 40%|███▉ | 577M/1.44G [00:01<00:02, 358MB/s] pytorch_model.bin: 46%|████▌ | 661M/1.44G [00:01<00:01, 415MB/s] pytorch_model.bin: 64%|██████▍ | 923M/1.44G [00:02<00:00, 809MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 677MB/s]
cgato-thespice-7b-quick-3508-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-quick-3508-v3-mkmlizer: Saving duration: 0.277s
cgato-thespice-7b-quick-3508-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.588s
cgato-thespice-7b-quick-3508-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-quick-3508-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-quick-3508-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/tokenizer_config.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/special_tokens_map.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/merges.txt
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/config.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/vocab.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/tokenizer.json
cgato-thespice-7b-quick-3508-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-quick-3508-v3_reward/reward.tensors
Job cgato-thespice-7b-quick-3508-v3-mkmlizer completed after 69.15s with status: succeeded
Stopping job with name cgato-thespice-7b-quick-3508-v3-mkmlizer
Pipeline stage MKMLizer completed in 74.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-quick-3508-v3
Waiting for inference service cgato-thespice-7b-quick-3508-v3 to be ready
Inference service cgato-thespice-7b-quick-3508-v3 ready after 30.198615789413452s
Pipeline stage ISVCDeployer completed in 37.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5003578662872314s
Received healthy response to inference request in 1.0018181800842285s
Received healthy response to inference request in 2.1944174766540527s
Received healthy response to inference request in 1.174405574798584s
Received healthy response to inference request in 1.089066743850708s
5 requests
0 failed requests
5th percentile: 1.0192678928375245
10th percentile: 1.0367176055908203
20th percentile: 1.071617031097412
30th percentile: 1.1061345100402833
40th percentile: 1.1402700424194336
50th percentile: 1.174405574798584
60th percentile: 1.304786491394043
70th percentile: 1.4351674079895018
80th percentile: 1.6391697883605958
90th percentile: 1.9167936325073243
95th percentile: 2.0556055545806884
99th percentile: 2.1666550922393797
mean time: 1.392013168334961
Pipeline stage StressChecker completed in 7.70s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.08s
cgato-thespice-7b-quick-_3508_v3 status is now deployed due to DeploymentManager action
Scoring model output for bot %s
cgato-thespice-7b-quick-_3508_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-quick-_3508_v3
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-quick-3508-v3 is running
Tearing down inference service cgato-thespice-7b-quick-3508-v3
Toredown service cgato-thespice-7b-quick-3508-v3
Pipeline stage ISVCDeleter completed in 5.27s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-3508-v3/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-3508-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-3508-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-3508-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-3508-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-3508-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-3508-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-3508-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.09s
cgato-thespice-7b-quick-_3508_v3 status is now torndown due to DeploymentManager action