developer_uid: Nitral-AI
submission_id: nitral-ai-nyan-stunna-7b_v1
model_name: nitral-ai-nyan-stunna-7b_v1
model_group: Nitral-AI/Nyan-Stunna-7B
status: torndown
timestamp: 2024-04-05T13:46:46+00:00
num_battles: 172077
num_wins: 93362
celo_rating: 1189.33
family_friendly_score: 0.0
submission_type: basic
model_repo: Nitral-AI/Nyan-Stunna-7B
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-nyan-stunna-7b_v1
is_internal_developer: False
language_model: Nitral-AI/Nyan-Stunna-7B
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-05
win_ratio: 0.542559435601504
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}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-nyan-stunna-7b-v1-mkmlizer
Waiting for job on nitral-ai-nyan-stunna-7b-v1-mkmlizer to finish
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ /___/ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ belonging to: ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ║ ║
nitral-ai-nyan-stunna-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-nyan-stunna-7b-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 20.0MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: README.md: 0%| | 0.00/133 [00:00<?, ?B/s] README.md: 100%|██████████| 133/133 [00:00<00:00, 1.86MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: config.json: 0%| | 0.00/641 [00:00<?, ?B/s] config.json: 100%|██████████| 641/641 [00:00<00:00, 5.24MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: mergekit_config.yml: 0%| | 0.00/378 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 378/378 [00:00<00:00, 5.10MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00001-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00001-of-00008.safetensors: 1%| | 10.5M/1.98G [00:02<07:14, 4.53MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:02<02:03, 15.7MB/s] model-00001-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:02<01:06, 28.8MB/s] model-00001-of-00008.safetensors: 4%|▎ | 73.4M/1.98G [00:02<00:42, 45.1MB/s] model-00001-of-00008.safetensors: 8%|▊ | 157M/1.98G [00:02<00:13, 134MB/s] model-00001-of-00008.safetensors: 13%|█▎ | 262M/1.98G [00:02<00:06, 258MB/s] model-00001-of-00008.safetensors: 17%|█▋ | 346M/1.98G [00:03<00:05, 326MB/s] model-00001-of-00008.safetensors: 24%|██▍ | 472M/1.98G [00:03<00:03, 466MB/s] model-00001-of-00008.safetensors: 53%|█████▎ | 1.06G/1.98G [00:03<00:00, 1.51GB/s] model-00001-of-00008.safetensors: 65%|██████▌ | 1.29G/1.98G [00:04<00:01, 648MB/s] model-00001-of-00008.safetensors: 74%|███████▎ | 1.46G/1.98G [00:04<00:00, 560MB/s] model-00001-of-00008.safetensors: 80%|████████ | 1.59G/1.98G [00:04<00:00, 550MB/s] model-00001-of-00008.safetensors: 86%|████████▌ | 1.70G/1.98G [00:05<00:00, 561MB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 383MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00002-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00002-of-00008.safetensors: 1%| | 10.5M/1.95G [00:02<07:42, 4.19MB/s] model-00002-of-00008.safetensors: 1%| | 21.0M/1.95G [00:02<03:36, 8.90MB/s] model-00002-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:02<01:26, 22.0MB/s] model-00002-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:02<00:49, 37.9MB/s] model-00002-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:03<00:20, 90.0MB/s] model-00002-of-00008.safetensors: 12%|█▏ | 241M/1.95G [00:03<00:07, 241MB/s] model-00002-of-00008.safetensors: 20%|█▉ | 388M/1.95G [00:03<00:03, 421MB/s] model-00002-of-00008.safetensors: 24%|██▍ | 472M/1.95G [00:03<00:03, 463MB/s] model-00002-of-00008.safetensors: 55%|█████▌ | 1.08G/1.95G [00:03<00:00, 1.51GB/s] model-00002-of-00008.safetensors: 67%|██████▋ | 1.31G/1.95G [00:04<00:00, 764MB/s] model-00002-of-00008.safetensors: 76%|███████▌ | 1.47G/1.95G [00:04<00:00, 571MB/s] model-00002-of-00008.safetensors: 82%|████████▏ | 1.60G/1.95G [00:05<00:00, 565MB/s] model-00002-of-00008.safetensors: 88%|████████▊ | 1.71G/1.95G [00:05<00:00, 595MB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 369MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.98G [00:02<06:49, 4.81MB/s] model-00003-of-00008.safetensors: 1%| | 21.0M/1.98G [00:02<02:59, 10.9MB/s] model-00003-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:02<01:46, 18.2MB/s] model-00003-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:02<01:16, 25.4MB/s] model-00003-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:02<01:08, 28.2MB/s] model-00003-of-00008.safetensors: 3%|▎ | 62.9M/1.98G [00:02<00:52, 36.6MB/s] model-00003-of-00008.safetensors: 5%|▌ | 105M/1.98G [00:03<00:21, 86.2MB/s] model-00003-of-00008.safetensors: 10%|▉ | 189M/1.98G [00:03<00:08, 205MB/s] model-00003-of-00008.safetensors: 20%|██ | 398M/1.98G [00:03<00:03, 511MB/s] model-00003-of-00008.safetensors: 24%|██▍ | 472M/1.98G [00:03<00:02, 543MB/s] model-00003-of-00008.safetensors: 43%|████▎ | 860M/1.98G [00:03<00:00, 1.26GB/s] model-00003-of-00008.safetensors: 54%|█████▍ | 1.07G/1.98G [00:04<00:01, 758MB/s] model-00003-of-00008.safetensors: 61%|██████ | 1.21G/1.98G [00:04<00:01, 514MB/s] model-00003-of-00008.safetensors: 67%|██████▋ | 1.32G/1.98G [00:04<00:01, 579MB/s] model-00003-of-00008.safetensors: 72%|███████▏ | 1.43G/1.98G [00:04<00:01, 534MB/s] model-00003-of-00008.safetensors: 76%|███████▋ | 1.51G/1.98G [00:05<00:00, 570MB/s] model-00003-of-00008.safetensors: 84%|████████▎ | 1.65G/1.98G [00:05<00:00, 696MB/s] model-00003-of-00008.safetensors: 88%|████████▊ | 1.75G/1.98G [00:05<00:00, 721MB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 364MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00005-of-00008.safetensors: 0%| | 0.00/1.89G [00:00<?, ?B/s] model-00005-of-00008.safetensors: 1%| | 10.5M/1.89G [00:00<01:00, 31.0MB/s] model-00005-of-00008.safetensors: 1%| | 21.0M/1.89G [00:01<02:09, 14.4MB/s] model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.89G [00:01<01:35, 19.4MB/s] model-00005-of-00008.safetensors: 2%|▏ | 41.9M/1.89G [00:01<01:15, 24.4MB/s] model-00005-of-00008.safetensors: 3%|▎ | 52.4M/1.89G [00:02<01:26, 21.2MB/s] model-00005-of-00008.safetensors: 3%|▎ | 62.9M/1.89G [00:02<01:16, 23.9MB/s] model-00005-of-00008.safetensors: 4%|▍ | 83.9M/1.89G [00:03<00:48, 37.3MB/s] model-00005-of-00008.safetensors: 5%|▍ | 94.4M/1.89G [00:03<00:40, 44.2MB/s] model-00005-of-00008.safetensors: 8%|▊ | 157M/1.89G [00:03<00:14, 121MB/s] model-00005-of-00008.safetensors: 16%|█▌ | 294M/1.89G [00:03<00:05, 318MB/s] model-00005-of-00008.safetensors: 24%|██▍ | 451M/1.89G [00:03<00:02, 493MB/s] model-00005-of-00008.safetensors: 31%|███ | 577M/1.89G [00:03<00:02, 635MB/s] model-00005-of-00008.safetensors: 60%|█████▉ | 1.13G/1.89G [00:03<00:00, 1.48GB/s] model-00005-of-00008.safetensors: 69%|██████▉ | 1.30G/1.89G [00:04<00:00, 771MB/s] model-00005-of-00008.safetensors: 76%|███████▌ | 1.43G/1.89G [00:04<00:00, 699MB/s] model-00005-of-00008.safetensors: 81%|████████ | 1.53G/1.89G [00:04<00:00, 729MB/s] model-00005-of-00008.safetensors: 87%|████████▋ | 1.65G/1.89G [00:04<00:00, 792MB/s] model-00005-of-00008.safetensors: 96%|█████████▌| 1.82G/1.89G [00:04<00:00, 953MB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.89G/1.89G [00:05<00:00, 375MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00006-of-00008.safetensors: 0%| | 0.00/1.92G [00:00<?, ?B/s] model-00006-of-00008.safetensors: 1%| | 10.5M/1.92G [00:00<02:40, 11.9MB/s] model-00006-of-00008.safetensors: 2%|▏ | 41.9M/1.92G [00:01<00:37, 50.7MB/s] model-00006-of-00008.safetensors: 3%|▎ | 62.9M/1.92G [00:01<00:29, 63.7MB/s] model-00006-of-00008.safetensors: 4%|▍ | 83.9M/1.92G [00:01<00:25, 72.4MB/s] model-00006-of-00008.safetensors: 7%|▋ | 136M/1.92G [00:01<00:16, 111MB/s] model-00006-of-00008.safetensors: 8%|▊ | 157M/1.92G [00:01<00:14, 123MB/s] model-00006-of-00008.safetensors: 9%|▉ | 178M/1.92G [00:02<00:13, 128MB/s] model-00006-of-00008.safetensors: 11%|█▏ | 220M/1.92G [00:02<00:10, 157MB/s] model-00006-of-00008.safetensors: 13%|█▎ | 252M/1.92G [00:02<00:09, 185MB/s] model-00006-of-00008.safetensors: 15%|█▍ | 283M/1.92G [00:02<00:09, 181MB/s] model-00006-of-00008.safetensors: 17%|█▋ | 325M/1.92G [00:02<00:07, 218MB/s] model-00006-of-00008.safetensors: 19%|█▊ | 357M/1.92G [00:02<00:06, 224MB/s] model-00006-of-00008.safetensors: 21%|██▏ | 409M/1.92G [00:02<00:05, 288MB/s] model-00006-of-00008.safetensors: 31%|███ | 587M/1.92G [00:02<00:02, 642MB/s] model-00006-of-00008.safetensors: 35%|███▌ | 682M/1.92G [00:03<00:01, 697MB/s] model-00006-of-00008.safetensors: 43%|████▎ | 818M/1.92G [00:03<00:01, 870MB/s] model-00006-of-00008.safetensors: 66%|██████▌ | 1.27G/1.92G [00:03<00:00, 1.73GB/s] model-00006-of-00008.safetensors: 75%|███████▌ | 1.45G/1.92G [00:03<00:00, 848MB/s] model-00006-of-00008.safetensors: 83%|████████▎ | 1.59G/1.92G [00:04<00:00, 487MB/s] model-00006-of-00008.safetensors: 88%|████████▊ | 1.69G/1.92G [00:04<00:00, 544MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:04<00:00, 638MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:15<00:00, 638MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:15<00:00, 128MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00007-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00007-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<03:04, 10.5MB/s] model-00007-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:21, 23.5MB/s] model-00007-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:01<00:37, 49.8MB/s] model-00007-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:01<00:20, 87.8MB/s] model-00007-of-00008.safetensors: 8%|▊ | 157M/1.95G [00:02<00:14, 124MB/s] model-00007-of-00008.safetensors: 9%|▉ | 178M/1.95G [00:02<00:13, 134MB/s] model-00007-of-00008.safetensors: 10%|█ | 199M/1.95G [00:02<00:11, 146MB/s] model-00007-of-00008.safetensors: 12%|█▏ | 231M/1.95G [00:02<00:10, 161MB/s] model-00007-of-00008.safetensors: 15%|█▍ | 283M/1.95G [00:02<00:07, 224MB/s] model-00007-of-00008.safetensors: 20%|██ | 398M/1.95G [00:02<00:03, 420MB/s] model-00007-of-00008.safetensors: 29%|██▊ | 556M/1.95G [00:02<00:02, 614MB/s] model-00007-of-00008.safetensors: 34%|███▍ | 671M/1.95G [00:02<00:01, 731MB/s] model-00007-of-00008.safetensors: 65%|██████▍ | 1.26G/1.95G [00:03<00:00, 1.77GB/s] model-00007-of-00008.safetensors: 74%|███████▍ | 1.44G/1.95G [00:03<00:00, 795MB/s] model-00007-of-00008.safetensors: 81%|████████ | 1.57G/1.95G [00:04<00:00, 679MB/s] model-00007-of-00008.safetensors: 87%|████████▋ | 1.68G/1.95G [00:04<00:00, 725MB/s] model-00007-of-00008.safetensors: 92%|█████████▏| 1.80G/1.95G [00:04<00:00, 787MB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:11<00:00, 177MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/872M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 1%| | 10.5M/872M [00:00<01:13, 11.8MB/s] model-00008-of-00008.safetensors: 3%|▎ | 23.1M/872M [00:01<00:33, 25.6MB/s] model-00008-of-00008.safetensors: 10%|▉ | 86.0M/872M [00:01<00:06, 118MB/s] model-00008-of-00008.safetensors: 13%|█▎ | 117M/872M [00:01<00:04, 152MB/s] model-00008-of-00008.safetensors: 17%|█▋ | 149M/872M [00:01<00:05, 121MB/s] model-00008-of-00008.safetensors: 21%|██ | 180M/872M [00:01<00:06, 114MB/s] model-00008-of-00008.safetensors: 23%|██▎ | 201M/872M [00:02<00:05, 122MB/s] model-00008-of-00008.safetensors: 31%|███▏ | 275M/872M [00:02<00:02, 218MB/s] model-00008-of-00008.safetensors: 42%|████▏ | 369M/872M [00:02<00:01, 338MB/s] model-00008-of-00008.safetensors: 53%|█████▎ | 464M/872M [00:02<00:00, 454MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 872M/872M [00:05<00:00, 172MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/22.8k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 26.7MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 5.14MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 4.75MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 4.74MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 15.0MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 12.4MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Downloaded to shared memory in 60.008s
nitral-ai-nyan-stunna-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Reading /tmp/tmpwey3jrk5/model.safetensors.index.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:53, 5.45it/s] Profiling: 7%|▋ | 19/291 [00:00<00:03, 80.71it/s] Profiling: 13%|█▎ | 37/291 [00:00<00:02, 89.05it/s] Profiling: 20%|█▉ | 57/291 [00:00<00:01, 118.46it/s] Profiling: 27%|██▋ | 80/291 [00:00<00:01, 125.46it/s] Profiling: 33%|███▎ | 95/291 [00:00<00:01, 130.00it/s] Profiling: 40%|████ | 117/291 [00:00<00:01, 153.58it/s] Profiling: 46%|████▌ | 134/291 [00:01<00:01, 134.64it/s] Profiling: 53%|█████▎ | 154/291 [00:01<00:00, 148.31it/s] Profiling: 58%|█████▊ | 170/291 [00:02<00:03, 35.47it/s] Profiling: 65%|██████▌ | 190/291 [00:02<00:02, 48.59it/s] Profiling: 70%|███████ | 204/291 [00:03<00:03, 27.20it/s] Profiling: 77%|███████▋ | 224/291 [00:03<00:01, 38.30it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:01, 45.08it/s] Profiling: 89%|████████▉ | 259/291 [00:04<00:00, 61.50it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 69.77it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 64.51it/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: quantized model in 14.280s
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Processed model Nitral-AI/Nyan-Stunna-7B in 75.221s
nitral-ai-nyan-stunna-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-nyan-stunna-7b-v1/mkml_model.tensors
nitral-ai-nyan-stunna-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-nyan-stunna-7b-v1-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.
nitral-ai-nyan-stunna-7b-v1-mkmlizer: warnings.warn(
nitral-ai-nyan-stunna-7b-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.0MB/s]
nitral-ai-nyan-stunna-7b-v1-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.
nitral-ai-nyan-stunna-7b-v1-mkmlizer: warnings.warn(
nitral-ai-nyan-stunna-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.13MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 52.6MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 23.2MB/s]
nitral-ai-nyan-stunna-7b-v1-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.
nitral-ai-nyan-stunna-7b-v1-mkmlizer: warnings.warn(
nitral-ai-nyan-stunna-7b-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:19, 72.6MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:11, 118MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:09, 141MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:00<00:07, 185MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:06, 204MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:05, 229MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:01<00:05, 208MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:01<00:02, 401MB/s] pytorch_model.bin: 47%|████▋ | 682M/1.44G [00:01<00:00, 1.11GB/s] pytorch_model.bin: 88%|████████▊ | 1.27G/1.44G [00:01<00:00, 2.28GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 277MB/s]
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Saving duration: 0.224s
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.440s
nitral-ai-nyan-stunna-7b-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-nyan-stunna-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-nyan-stunna-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/special_tokens_map.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/config.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/tokenizer_config.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/vocab.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/merges.txt
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/tokenizer.json
nitral-ai-nyan-stunna-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-nyan-stunna-7b-v1_reward/reward.tensors
Job nitral-ai-nyan-stunna-7b-v1-mkmlizer completed after 112.59s with status: succeeded
Stopping job with name nitral-ai-nyan-stunna-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-nyan-stunna-7b-v1
Waiting for inference service nitral-ai-nyan-stunna-7b-v1 to be ready
Inference service nitral-ai-nyan-stunna-7b-v1 ready after 40.240973472595215s
Pipeline stage ISVCDeployer completed in 47.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.703334093093872s
Received healthy response to inference request in 1.1988847255706787s
Received healthy response to inference request in 1.182568073272705s
Received healthy response to inference request in 1.2001142501831055s
Received healthy response to inference request in 1.1943738460540771s
5 requests
0 failed requests
5th percentile: 1.1849292278289796
10th percentile: 1.1872903823852539
20th percentile: 1.1920126914978026
30th percentile: 1.1952760219573975
40th percentile: 1.197080373764038
50th percentile: 1.1988847255706787
60th percentile: 1.1993765354156494
70th percentile: 1.19986834526062
80th percentile: 1.3007582187652589
90th percentile: 1.5020461559295655
95th percentile: 1.6026901245117187
99th percentile: 1.6832052993774413
mean time: 1.2958549976348877
Pipeline stage StressChecker completed in 7.33s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-nyan-stunna-7b_v1 status is now deployed due to DeploymentManager action
nitral-ai-nyan-stunna-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-nyan-stunna-7b_v1
Running pipeline stage ISVCDeleter
Checking if service nitral-ai-nyan-stunna-7b-v1 is running
Tearing down inference service nitral-ai-nyan-stunna-7b-v1
Toredown service nitral-ai-nyan-stunna-7b-v1
Pipeline stage ISVCDeleter completed in 3.83s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nitral-ai-nyan-stunna-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyan-stunna-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key nitral-ai-nyan-stunna-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyan-stunna-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-nyan-stunna-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-nyan-stunna-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nitral-ai-nyan-stunna-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.67s
nitral-ai-nyan-stunna-7b_v1 status is now torndown due to DeploymentManager action