developer_uid: Nitral-AI
submission_id: nitral-ai-layla-nyan-stu_1677_v1
model_name: nitral-ai-layla-nyan-stu_1677_v1
model_group: Nitral-AI/Layla-Nyan-Stu
status: torndown
timestamp: 2024-04-06T19:47:32+00:00
num_battles: 129253
num_wins: 65651
celo_rating: 1164.86
family_friendly_score: 0.0
submission_type: basic
model_repo: Nitral-AI/Layla-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-layla-nyan-stu_1677_v1
is_internal_developer: False
language_model: Nitral-AI/Layla-Nyan-Stunna-7B
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-06
win_ratio: 0.5079263150565171
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-layla-nyan-stu-1677-v1-mkmlizer
Waiting for job on nitral-ai-layla-nyan-stu-1677-v1-mkmlizer to finish
Stopping job with name nitral-ai-layla-nyan-stu-1677-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name nitral-ai-layla-nyan-stu-1677-v1-mkmlizer
Waiting for job on nitral-ai-layla-nyan-stu-1677-v1-mkmlizer to finish
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ /___/ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ belonging to: ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ║ ║
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.3MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: README.md: 0%| | 0.00/143 [00:00<?, ?B/s] README.md: 100%|██████████| 143/143 [00:00<00:00, 1.90MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: config.json: 0%| | 0.00/677 [00:00<?, ?B/s] config.json: 100%|██████████| 677/677 [00:00<00:00, 5.55MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: mergekit_config.yml: 0%| | 0.00/399 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 399/399 [00:00<00:00, 3.26MB/s]
nitral-ai-layla-nyan-stu-1677-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 [00:01<04:26, 7.38MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:01<01:21, 23.9MB/s] model-00001-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:01<01:03, 30.3MB/s] model-00001-of-00008.safetensors: 3%|▎ | 62.9M/1.98G [00:01<00:36, 52.4MB/s] model-00001-of-00008.safetensors: 5%|▍ | 94.4M/1.98G [00:02<00:22, 82.9MB/s] model-00001-of-00008.safetensors: 6%|▌ | 115M/1.98G [00:02<00:22, 84.6MB/s] model-00001-of-00008.safetensors: 7%|▋ | 136M/1.98G [00:02<00:19, 93.3MB/s] model-00001-of-00008.safetensors: 9%|▉ | 178M/1.98G [00:02<00:12, 145MB/s] model-00001-of-00008.safetensors: 11%|█ | 210M/1.98G [00:02<00:09, 177MB/s] model-00001-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:02<00:06, 264MB/s] model-00001-of-00008.safetensors: 21%|██ | 409M/1.98G [00:02<00:03, 501MB/s] model-00001-of-00008.safetensors: 25%|██▍ | 493M/1.98G [00:03<00:02, 543MB/s] model-00001-of-00008.safetensors: 28%|██▊ | 556M/1.98G [00:03<00:02, 505MB/s] model-00001-of-00008.safetensors: 47%|████▋ | 923M/1.98G [00:03<00:00, 1.25GB/s] model-00001-of-00008.safetensors: 62%|██████▏ | 1.24G/1.98G [00:03<00:00, 1.73GB/s] model-00001-of-00008.safetensors: 73%|███████▎ | 1.44G/1.98G [00:04<00:00, 718MB/s] model-00001-of-00008.safetensors: 81%|████████ | 1.59G/1.98G [00:04<00:00, 659MB/s] model-00001-of-00008.safetensors: 87%|████████▋ | 1.72G/1.98G [00:04<00:00, 609MB/s] model-00001-of-00008.safetensors: 92%|█████████▏| 1.82G/1.98G [00:04<00:00, 654MB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 414MB/s]
nitral-ai-layla-nyan-stu-1677-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 [00:01<03:37, 8.91MB/s] model-00002-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:41, 19.0MB/s] model-00002-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:14, 127MB/s] model-00002-of-00008.safetensors: 8%|▊ | 147M/1.95G [00:01<00:11, 158MB/s] model-00002-of-00008.safetensors: 10%|▉ | 189M/1.95G [00:01<00:09, 180MB/s] model-00002-of-00008.safetensors: 14%|█▍ | 273M/1.95G [00:01<00:05, 296MB/s] model-00002-of-00008.safetensors: 17%|█▋ | 325M/1.95G [00:02<00:05, 283MB/s] model-00002-of-00008.safetensors: 19%|█▉ | 367M/1.95G [00:02<00:05, 307MB/s] model-00002-of-00008.safetensors: 25%|██▍ | 482M/1.95G [00:02<00:03, 451MB/s] model-00002-of-00008.safetensors: 31%|███ | 608M/1.95G [00:02<00:02, 619MB/s] model-00002-of-00008.safetensors: 36%|███▌ | 692M/1.95G [00:02<00:02, 537MB/s] model-00002-of-00008.safetensors: 40%|████ | 786M/1.95G [00:02<00:01, 616MB/s] model-00002-of-00008.safetensors: 66%|██████▌ | 1.28G/1.95G [00:02<00:00, 1.61GB/s] model-00002-of-00008.safetensors: 85%|████████▌ | 1.66G/1.95G [00:02<00:00, 2.10GB/s] model-00002-of-00008.safetensors: 98%|█████████▊| 1.90G/1.95G [00:03<00:00, 1.60GB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:03<00:00, 597MB/s]
nitral-ai-layla-nyan-stu-1677-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 [00:01<03:46, 8.70MB/s] model-00003-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:01<00:24, 78.3MB/s] model-00003-of-00008.safetensors: 8%|▊ | 168M/1.98G [00:01<00:10, 168MB/s] model-00003-of-00008.safetensors: 11%|█ | 220M/1.98G [00:01<00:09, 181MB/s] model-00003-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:01<00:07, 214MB/s] model-00003-of-00008.safetensors: 21%|██ | 409M/1.98G [00:02<00:04, 386MB/s] model-00003-of-00008.safetensors: 24%|██▍ | 482M/1.98G [00:02<00:03, 441MB/s] model-00003-of-00008.safetensors: 28%|██▊ | 556M/1.98G [00:02<00:02, 484MB/s] model-00003-of-00008.safetensors: 36%|███▌ | 713M/1.98G [00:02<00:01, 689MB/s] model-00003-of-00008.safetensors: 40%|████ | 797M/1.98G [00:02<00:01, 631MB/s] model-00003-of-00008.safetensors: 68%|██████▊ | 1.35G/1.98G [00:02<00:00, 1.71GB/s] model-00003-of-00008.safetensors: 79%|███████▉ | 1.57G/1.98G [00:02<00:00, 1.44GB/s] model-00003-of-00008.safetensors: 89%|████████▉ | 1.76G/1.98G [00:03<00:00, 1.35GB/s] model-00003-of-00008.safetensors: 97%|█████████▋| 1.93G/1.98G [00:03<00:00, 1.41GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:03<00:00, 577MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: model-00004-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00004-of-00008.safetensors: 1%| | 10.5M/1.95G [00:01<03:52, 8.31MB/s] model-00004-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:48, 17.7MB/s] model-00004-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:09, 27.6MB/s] model-00004-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:01<00:28, 67.0MB/s] model-00004-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:15, 116MB/s] model-00004-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:01<00:13, 136MB/s] model-00004-of-00008.safetensors: 12%|█▏ | 231M/1.95G [00:02<00:06, 279MB/s] model-00004-of-00008.safetensors: 15%|█▍ | 283M/1.95G [00:02<00:05, 301MB/s] model-00004-of-00008.safetensors: 17%|█▋ | 325M/1.95G [00:02<00:05, 305MB/s] model-00004-of-00008.safetensors: 20%|██ | 398M/1.95G [00:02<00:04, 380MB/s] model-00004-of-00008.safetensors: 23%|██▎ | 451M/1.95G [00:02<00:03, 383MB/s] model-00004-of-00008.safetensors: 32%|███▏ | 619M/1.95G [00:02<00:01, 678MB/s] model-00004-of-00008.safetensors: 37%|███▋ | 724M/1.95G [00:02<00:01, 760MB/s] model-00004-of-00008.safetensors: 42%|████▏ | 818M/1.95G [00:02<00:01, 718MB/s] model-00004-of-00008.safetensors: 71%|███████ | 1.37G/1.95G [00:03<00:00, 1.71GB/s] model-00004-of-00008.safetensors: 80%|███████▉ | 1.55G/1.95G [00:03<00:00, 892MB/s] model-00004-of-00008.safetensors: 87%|████████▋ | 1.68G/1.95G [00:03<00:00, 785MB/s] model-00004-of-00008.safetensors: 92%|█████████▏| 1.80G/1.95G [00:03<00:00, 838MB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 478MB/s]
nitral-ai-layla-nyan-stu-1677-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 [00:01<03:40, 8.50MB/s] model-00005-of-00008.safetensors: 3%|▎ | 52.4M/1.89G [00:01<00:36, 50.4MB/s] model-00005-of-00008.safetensors: 5%|▍ | 94.4M/1.89G [00:01<00:21, 83.7MB/s] model-00005-of-00008.safetensors: 8%|▊ | 147M/1.89G [00:01<00:12, 143MB/s] model-00005-of-00008.safetensors: 10%|▉ | 189M/1.89G [00:01<00:10, 165MB/s] model-00005-of-00008.safetensors: 12%|█▏ | 231M/1.89G [00:01<00:08, 204MB/s] model-00005-of-00008.safetensors: 14%|█▍ | 273M/1.89G [00:02<00:07, 208MB/s] model-00005-of-00008.safetensors: 17%|█▋ | 325M/1.89G [00:02<00:05, 267MB/s] model-00005-of-00008.safetensors: 20%|█▉ | 377M/1.89G [00:02<00:04, 317MB/s] model-00005-of-00008.safetensors: 23%|██▎ | 440M/1.89G [00:02<00:03, 387MB/s] model-00005-of-00008.safetensors: 29%|██▉ | 545M/1.89G [00:02<00:02, 547MB/s] model-00005-of-00008.safetensors: 39%|███▉ | 734M/1.89G [00:02<00:01, 756MB/s] model-00005-of-00008.safetensors: 43%|████▎ | 818M/1.89G [00:02<00:01, 768MB/s] model-00005-of-00008.safetensors: 73%|███████▎ | 1.38G/1.89G [00:03<00:00, 1.77GB/s] model-00005-of-00008.safetensors: 82%|████████▏ | 1.55G/1.89G [00:03<00:00, 718MB/s] model-00005-of-00008.safetensors: 89%|████████▉ | 1.69G/1.89G [00:03<00:00, 795MB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.89G/1.89G [00:03<00:00, 482MB/s]
nitral-ai-layla-nyan-stu-1677-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 [00:01<03:28, 9.18MB/s] model-00006-of-00008.safetensors: 2%|▏ | 41.9M/1.92G [00:01<00:45, 41.4MB/s] model-00006-of-00008.safetensors: 3%|▎ | 62.9M/1.92G [00:01<00:30, 61.9MB/s] model-00006-of-00008.safetensors: 6%|▌ | 115M/1.92G [00:01<00:15, 116MB/s] model-00006-of-00008.safetensors: 9%|▊ | 168M/1.92G [00:01<00:09, 178MB/s] model-00006-of-00008.safetensors: 10%|█ | 199M/1.92G [00:01<00:08, 200MB/s] model-00006-of-00008.safetensors: 14%|█▍ | 273M/1.92G [00:01<00:05, 281MB/s] model-00006-of-00008.safetensors: 17%|█▋ | 336M/1.92G [00:02<00:04, 352MB/s] model-00006-of-00008.safetensors: 21%|██ | 398M/1.92G [00:02<00:03, 413MB/s] model-00006-of-00008.safetensors: 25%|██▍ | 472M/1.92G [00:02<00:03, 446MB/s] model-00006-of-00008.safetensors: 29%|██▉ | 556M/1.92G [00:02<00:02, 537MB/s] model-00006-of-00008.safetensors: 34%|███▍ | 661M/1.92G [00:02<00:01, 660MB/s] model-00006-of-00008.safetensors: 41%|████ | 786M/1.92G [00:02<00:01, 789MB/s] model-00006-of-00008.safetensors: 45%|████▌ | 870M/1.92G [00:02<00:01, 711MB/s] model-00006-of-00008.safetensors: 77%|███████▋ | 1.48G/1.92G [00:02<00:00, 1.89GB/s] model-00006-of-00008.safetensors: 87%|████████▋ | 1.67G/1.92G [00:03<00:00, 1.04GB/s] model-00006-of-00008.safetensors: 95%|█████████▍| 1.82G/1.92G [00:03<00:00, 1.08GB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:03<00:00, 542MB/s]
nitral-ai-layla-nyan-stu-1677-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<00:41, 46.2MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:47, 18.0MB/s] model-00007-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:01<00:23, 80.7MB/s] model-00007-of-00008.safetensors: 6%|▋ | 126M/1.95G [00:01<00:13, 139MB/s] model-00007-of-00008.safetensors: 9%|▉ | 178M/1.95G [00:01<00:08, 196MB/s] model-00007-of-00008.safetensors: 11%|█▏ | 220M/1.95G [00:01<00:09, 184MB/s] model-00007-of-00008.safetensors: 17%|█▋ | 325M/1.95G [00:01<00:05, 315MB/s] model-00007-of-00008.safetensors: 19%|█▉ | 377M/1.95G [00:02<00:05, 295MB/s] model-00007-of-00008.safetensors: 23%|██▎ | 451M/1.95G [00:02<00:04, 365MB/s] model-00007-of-00008.safetensors: 28%|██▊ | 545M/1.95G [00:02<00:03, 462MB/s] model-00007-of-00008.safetensors: 33%|███▎ | 650M/1.95G [00:02<00:02, 571MB/s] model-00007-of-00008.safetensors: 42%|████▏ | 818M/1.95G [00:02<00:01, 717MB/s] model-00007-of-00008.safetensors: 46%|████▋ | 902M/1.95G [00:02<00:01, 667MB/s] model-00007-of-00008.safetensors: 59%|█████▉ | 1.15G/1.95G [00:02<00:00, 1.08GB/s] model-00007-of-00008.safetensors: 84%|████████▎ | 1.63G/1.95G [00:02<00:00, 1.90GB/s] model-00007-of-00008.safetensors: 95%|█████████▍| 1.84G/1.95G [00:03<00:00, 1.47GB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:03<00:00, 576MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/872M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 0%| | 2.13M/872M [00:00<05:25, 2.68MB/s] model-00008-of-00008.safetensors: 1%|▏ | 12.6M/872M [00:00<00:53, 16.0MB/s] model-00008-of-00008.safetensors: 5%|▌ | 44.1M/872M [00:01<00:13, 61.7MB/s] model-00008-of-00008.safetensors: 9%|▊ | 75.5M/872M [00:01<00:07, 105MB/s] model-00008-of-00008.safetensors: 15%|█▍ | 128M/872M [00:01<00:07, 105MB/s] model-00008-of-00008.safetensors: 17%|█▋ | 149M/872M [00:02<00:07, 95.1MB/s] model-00008-of-00008.safetensors: 29%|██▉ | 254M/872M [00:02<00:02, 222MB/s] model-00008-of-00008.safetensors: 42%|████▏ | 369M/872M [00:02<00:01, 345MB/s] model-00008-of-00008.safetensors: 75%|███████▍ | 652M/872M [00:02<00:00, 780MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 872M/872M [00:02<00:00, 363MB/s]
nitral-ai-layla-nyan-stu-1677-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, 120MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 5.72MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 14.8MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 14.7MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 57.4MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/2.05k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 2.05k/2.05k [00:00<00:00, 16.3MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Downloaded to shared memory in 33.745s
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Reading /tmp/tmp5qek6acx/model.safetensors.index.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<01:13, 3.96it/s] Profiling: 5%|▌ | 16/291 [00:00<00:04, 56.66it/s] Profiling: 11%|█ | 31/291 [00:00<00:02, 88.41it/s] Profiling: 15%|█▍ | 43/291 [00:00<00:03, 82.40it/s] Profiling: 22%|██▏ | 65/291 [00:00<00:01, 117.76it/s] Profiling: 27%|██▋ | 80/291 [00:00<00:01, 111.06it/s] Profiling: 33%|███▎ | 95/291 [00:00<00:01, 118.84it/s] Profiling: 40%|███▉ | 116/291 [00:01<00:01, 143.11it/s] Profiling: 45%|████▌ | 132/291 [00:01<00:01, 124.77it/s] Profiling: 53%|█████▎ | 153/291 [00:01<00:00, 145.50it/s] Profiling: 58%|█████▊ | 169/291 [00:02<00:03, 34.46it/s] Profiling: 65%|██████▌ | 190/291 [00:02<00:02, 48.41it/s] Profiling: 70%|███████ | 205/291 [00:04<00:03, 27.56it/s] Profiling: 76%|███████▋ | 222/291 [00:04<00:01, 36.65it/s] Profiling: 81%|████████ | 235/291 [00:04<00:01, 42.37it/s] Profiling: 89%|████████▉ | 259/291 [00:04<00:00, 62.23it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 69.65it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.30it/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: quantized model in 14.508s
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Processed model Nitral-AI/Layla-Nyan-Stunna-7B in 49.159s
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/config.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/tokenizer_config.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/added_tokens.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/tokenizer.model
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/special_tokens_map.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/tokenizer.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-layla-nyan-stu-1677-v1/mkml_model.tensors
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-layla-nyan-stu-1677-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-layla-nyan-stu-1677-v1-mkmlizer: warnings.warn(
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.6MB/s]
nitral-ai-layla-nyan-stu-1677-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-layla-nyan-stu-1677-v1-mkmlizer: warnings.warn(
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.73MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 16.5MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.9MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.8MB/s]
nitral-ai-layla-nyan-stu-1677-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-layla-nyan-stu-1677-v1-mkmlizer: warnings.warn(
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:33, 42.9MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:15, 91.1MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:06, 225MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:03, 330MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:06, 200MB/s] pytorch_model.bin: 22%|██▏ | 315M/1.44G [00:01<00:04, 280MB/s] pytorch_model.bin: 38%|███▊ | 545M/1.44G [00:01<00:01, 641MB/s] pytorch_model.bin: 88%|████████▊ | 1.27G/1.44G [00:01<00:00, 1.93GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 836MB/s]
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Saving duration: 0.238s
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.542s
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/config.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/merges.txt
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/tokenizer_config.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/special_tokens_map.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/vocab.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/tokenizer.json
nitral-ai-layla-nyan-stu-1677-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-layla-nyan-stu-1677-v1_reward/reward.tensors
Job nitral-ai-layla-nyan-stu-1677-v1-mkmlizer completed after 109.07s with status: succeeded
Stopping job with name nitral-ai-layla-nyan-stu-1677-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-layla-nyan-stu-1677-v1
Waiting for inference service nitral-ai-layla-nyan-stu-1677-v1 to be ready
Inference service nitral-ai-layla-nyan-stu-1677-v1 ready after 40.438714265823364s
Pipeline stage ISVCDeployer completed in 48.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.808427333831787s
Received healthy response to inference request in 1.1819956302642822s
Received healthy response to inference request in 1.20186448097229s
Received healthy response to inference request in 1.0804648399353027s
Received healthy response to inference request in 1.2011075019836426s
5 requests
0 failed requests
5th percentile: 1.1007709980010987
10th percentile: 1.1210771560668946
20th percentile: 1.1616894721984863
30th percentile: 1.1858180046081543
40th percentile: 1.1934627532958983
50th percentile: 1.2011075019836426
60th percentile: 1.2014102935791016
70th percentile: 1.2017130851745605
80th percentile: 1.5231770515441898
90th percentile: 2.1658021926879885
95th percentile: 2.4871147632598873
99th percentile: 2.7441648197174073
mean time: 1.494771957397461
Pipeline stage StressChecker completed in 8.40s
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
nitral-ai-layla-nyan-stu_1677_v1 status is now deployed due to DeploymentManager action
nitral-ai-layla-nyan-stu_1677_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-layla-nyan-stu_1677_v1
Running pipeline stage ISVCDeleter
Checking if service nitral-ai-layla-nyan-stu-1677-v1 is running
Tearing down inference service nitral-ai-layla-nyan-stu-1677-v1
Toredown service nitral-ai-layla-nyan-stu-1677-v1
Pipeline stage ISVCDeleter completed in 3.39s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nitral-ai-layla-nyan-stu-1677-v1/added_tokens.json from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nitral-ai-layla-nyan-stu-1677-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.17s
nitral-ai-layla-nyan-stu_1677_v1 status is now torndown due to DeploymentManager action