developer_uid: Nitral-AI
submission_id: nitral-ai-expo-kukulstanta-7b_v1
model_name: nitral-ai-expo-kukulstanta-7b_v1
model_group: Nitral-AI/Expo-KukulStan
status: torndown
timestamp: 2024-04-03T01:19:58+00:00
num_battles: 29487
num_wins: 15851
celo_rating: 1184.9
family_friendly_score: 0.0
submission_type: basic
model_repo: Nitral-AI/Expo-KukulStanta-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-expo-kukulstanta-7b_v1
is_internal_developer: False
language_model: Nitral-AI/Expo-KukulStanta-7B
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-02
win_ratio: 0.5375589242717129
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'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'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-expo-kukulstanta-7b-v1-mkmlizer
Waiting for job on nitral-ai-expo-kukulstanta-7b-v1-mkmlizer to finish
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ /___/ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ belonging to: ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ║ ║
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.7MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: README.md: 0%| | 0.00/801 [00:00<?, ?B/s] README.md: 100%|██████████| 801/801 [00:00<00:00, 6.56MB/s]
nitral-ai-expo-kukulstanta-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-expo-kukulstanta-7b-v1-mkmlizer: mergekit_config.yml: 0%| | 0.00/375 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 375/375 [00:00<00:00, 3.48MB/s]
nitral-ai-expo-kukulstanta-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 [00:00<02:57, 11.1MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<01:39, 19.6MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:03<04:49, 6.72MB/s] model-00001-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:04<03:03, 10.6MB/s] model-00001-of-00008.safetensors: 12%|█▏ | 231M/1.98G [00:04<00:15, 112MB/s] model-00001-of-00008.safetensors: 22%|██▏ | 430M/1.98G [00:04<00:06, 241MB/s] model-00001-of-00008.safetensors: 27%|██▋ | 535M/1.98G [00:04<00:04, 295MB/s] model-00001-of-00008.safetensors: 55%|█████▍ | 1.08G/1.98G [00:04<00:01, 692MB/s] model-00001-of-00008.safetensors: 60%|██████ | 1.20G/1.98G [00:06<00:02, 275MB/s] model-00001-of-00008.safetensors: 65%|██████▍ | 1.28G/1.98G [00:06<00:02, 261MB/s] model-00001-of-00008.safetensors: 68%|██████▊ | 1.34G/1.98G [00:06<00:02, 280MB/s] model-00001-of-00008.safetensors: 72%|███████▏ | 1.43G/1.98G [00:07<00:01, 332MB/s] model-00001-of-00008.safetensors: 76%|███████▌ | 1.51G/1.98G [00:07<00:01, 369MB/s] model-00001-of-00008.safetensors: 80%|███████▉ | 1.58G/1.98G [00:07<00:00, 409MB/s] model-00001-of-00008.safetensors: 85%|████████▌ | 1.69G/1.98G [00:07<00:00, 493MB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:07<00:00, 264MB/s]
nitral-ai-expo-kukulstanta-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 [00:03<12:17, 2.62MB/s] model-00002-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:04<02:22, 13.4MB/s] model-00002-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:04<01:24, 22.3MB/s] model-00002-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:04<00:20, 85.9MB/s] model-00002-of-00008.safetensors: 20%|█▉ | 388M/1.95G [00:04<00:06, 256MB/s] model-00002-of-00008.safetensors: 26%|██▌ | 503M/1.95G [00:04<00:04, 346MB/s] model-00002-of-00008.safetensors: 35%|███▌ | 682M/1.95G [00:04<00:02, 527MB/s] model-00002-of-00008.safetensors: 55%|█████▍ | 1.07G/1.95G [00:05<00:01, 637MB/s] model-00002-of-00008.safetensors: 61%|██████ | 1.18G/1.95G [00:07<00:03, 227MB/s] model-00002-of-00008.safetensors: 65%|██████▍ | 1.26G/1.95G [00:07<00:02, 254MB/s] model-00002-of-00008.safetensors: 69%|██████▉ | 1.34G/1.95G [00:07<00:02, 281MB/s] model-00002-of-00008.safetensors: 75%|███████▍ | 1.45G/1.95G [00:07<00:01, 345MB/s] model-00002-of-00008.safetensors: 81%|████████ | 1.57G/1.95G [00:07<00:00, 414MB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:07<00:00, 254MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.95G [00:03<09:59, 3.23MB/s] model-00003-of-00008.safetensors: 1%| | 21.0M/1.95G [00:03<04:19, 7.42MB/s] model-00003-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:03<02:46, 11.5MB/s] model-00003-of-00008.safetensors: 3%|▎ | 52.4M/1.95G [00:04<01:35, 19.8MB/s] model-00003-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:04<01:19, 23.6MB/s] model-00003-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:04<00:28, 65.4MB/s] model-00003-of-00008.safetensors: 11%|█▏ | 220M/1.95G [00:04<00:10, 169MB/s] model-00003-of-00008.safetensors: 16%|█▌ | 304M/1.95G [00:04<00:06, 239MB/s] model-00003-of-00008.safetensors: 21%|██ | 409M/1.95G [00:04<00:04, 359MB/s] model-00003-of-00008.safetensors: 39%|███▉ | 765M/1.95G [00:04<00:01, 920MB/s] model-00003-of-00008.safetensors: 54%|█████▍ | 1.06G/1.95G [00:05<00:00, 1.27GB/s] model-00003-of-00008.safetensors: 64%|██████▍ | 1.25G/1.95G [00:07<00:02, 287MB/s] model-00003-of-00008.safetensors: 71%|███████ | 1.38G/1.95G [00:07<00:01, 303MB/s] model-00003-of-00008.safetensors: 76%|███████▋ | 1.48G/1.95G [00:07<00:01, 307MB/s] model-00003-of-00008.safetensors: 81%|████████ | 1.57G/1.95G [00:07<00:01, 347MB/s] model-00003-of-00008.safetensors: 87%|████████▋ | 1.68G/1.95G [00:07<00:00, 424MB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:07<00:00, 243MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: model-00004-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00004-of-00008.safetensors: 1%| | 10.5M/1.98G [00:00<02:35, 12.7MB/s] model-00004-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<02:31, 12.9MB/s] model-00004-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:02<01:55, 16.9MB/s] model-00004-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:02<01:35, 20.4MB/s] model-00004-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:03<01:58, 16.3MB/s] model-00004-of-00008.safetensors: 3%|▎ | 62.9M/1.98G [00:03<01:34, 20.2MB/s] model-00004-of-00008.safetensors: 4%|▎ | 73.4M/1.98G [00:03<01:25, 22.3MB/s] model-00004-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:04<01:27, 21.7MB/s] model-00004-of-00008.safetensors: 5%|▍ | 94.4M/1.98G [00:04<01:10, 26.7MB/s] model-00004-of-00008.safetensors: 6%|▋ | 126M/1.98G [00:04<00:33, 55.2MB/s] model-00004-of-00008.safetensors: 10%|▉ | 189M/1.98G [00:04<00:14, 126MB/s] model-00004-of-00008.safetensors: 13%|█▎ | 262M/1.98G [00:04<00:07, 218MB/s] model-00004-of-00008.safetensors: 18%|█▊ | 357M/1.98G [00:05<00:05, 304MB/s] model-00004-of-00008.safetensors: 22%|██▏ | 440M/1.98G [00:05<00:03, 397MB/s] model-00004-of-00008.safetensors: 44%|████▍ | 870M/1.98G [00:05<00:00, 1.19GB/s] model-00004-of-00008.safetensors: 58%|█████▊ | 1.15G/1.98G [00:05<00:00, 1.07GB/s] model-00004-of-00008.safetensors: 66%|██████▌ | 1.30G/1.98G [00:07<00:02, 288MB/s] model-00004-of-00008.safetensors: 71%|███████ | 1.41G/1.98G [00:07<00:02, 261MB/s] model-00004-of-00008.safetensors: 75%|███████▌ | 1.49G/1.98G [00:08<00:01, 259MB/s] model-00004-of-00008.safetensors: 78%|███████▊ | 1.55G/1.98G [00:08<00:01, 281MB/s] model-00004-of-00008.safetensors: 81%|████████▏ | 1.61G/1.98G [00:08<00:01, 312MB/s] model-00004-of-00008.safetensors: 87%|████████▋ | 1.72G/1.98G [00:08<00:00, 398MB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:08<00:00, 229MB/s]
nitral-ai-expo-kukulstanta-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<01:03, 29.8MB/s] model-00005-of-00008.safetensors: 1%| | 21.0M/1.89G [00:02<04:58, 6.25MB/s] model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.89G [00:03<03:35, 8.63MB/s] model-00005-of-00008.safetensors: 3%|▎ | 52.4M/1.89G [00:03<01:41, 18.0MB/s] model-00005-of-00008.safetensors: 4%|▍ | 73.4M/1.89G [00:04<01:03, 28.5MB/s] model-00005-of-00008.safetensors: 7%|▋ | 136M/1.89G [00:04<00:22, 76.5MB/s] model-00005-of-00008.safetensors: 11%|█ | 199M/1.89G [00:04<00:12, 132MB/s] model-00005-of-00008.safetensors: 17%|█▋ | 325M/1.89G [00:04<00:05, 275MB/s] model-00005-of-00008.safetensors: 24%|██▍ | 461M/1.89G [00:04<00:03, 426MB/s] model-00005-of-00008.safetensors: 29%|██▉ | 556M/1.89G [00:04<00:02, 513MB/s] model-00005-of-00008.safetensors: 56%|█████▌ | 1.06G/1.89G [00:04<00:00, 897MB/s] model-00005-of-00008.safetensors: 62%|██████▏ | 1.17G/1.89G [00:07<00:03, 202MB/s] model-00005-of-00008.safetensors: 67%|██████▋ | 1.26G/1.89G [00:07<00:02, 235MB/s] model-00005-of-00008.safetensors: 71%|███████ | 1.34G/1.89G [00:07<00:02, 264MB/s] model-00005-of-00008.safetensors: 81%|████████ | 1.53G/1.89G [00:07<00:00, 390MB/s] model-00005-of-00008.safetensors: 89%|████████▉ | 1.69G/1.89G [00:07<00:00, 507MB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.89G/1.89G [00:07<00:00, 239MB/s]
nitral-ai-expo-kukulstanta-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 [00:02<06:46, 4.71MB/s] model-00006-of-00008.safetensors: 1%| | 21.0M/1.92G [00:03<05:13, 6.07MB/s] model-00006-of-00008.safetensors: 3%|▎ | 52.4M/1.92G [00:03<01:33, 20.0MB/s] model-00006-of-00008.safetensors: 8%|▊ | 157M/1.92G [00:03<00:21, 82.3MB/s] model-00006-of-00008.safetensors: 14%|█▎ | 262M/1.92G [00:03<00:10, 156MB/s] model-00006-of-00008.safetensors: 17%|█▋ | 325M/1.92G [00:04<00:08, 194MB/s] model-00006-of-00008.safetensors: 26%|██▌ | 493M/1.92G [00:04<00:03, 372MB/s] model-00006-of-00008.safetensors: 57%|█████▋ | 1.09G/1.92G [00:04<00:00, 1.16GB/s] model-00006-of-00008.safetensors: 68%|██████▊ | 1.31G/1.92G [00:05<00:01, 509MB/s] model-00006-of-00008.safetensors: 77%|███████▋ | 1.47G/1.92G [00:06<00:01, 401MB/s] model-00006-of-00008.safetensors: 83%|████████▎ | 1.60G/1.92G [00:06<00:00, 438MB/s] model-00006-of-00008.safetensors: 93%|█████████▎| 1.80G/1.92G [00:06<00:00, 572MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:06<00:00, 298MB/s]
nitral-ai-expo-kukulstanta-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 [00:03<11:14, 2.87MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.95G [00:03<04:55, 6.52MB/s] model-00007-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:03<02:50, 11.2MB/s] model-00007-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:04<00:50, 37.2MB/s] model-00007-of-00008.safetensors: 8%|▊ | 147M/1.95G [00:04<00:19, 93.6MB/s] model-00007-of-00008.safetensors: 11%|█▏ | 220M/1.95G [00:04<00:10, 160MB/s] model-00007-of-00008.safetensors: 19%|█▉ | 377M/1.95G [00:04<00:04, 340MB/s] model-00007-of-00008.safetensors: 27%|██▋ | 524M/1.95G [00:04<00:02, 514MB/s] model-00007-of-00008.safetensors: 35%|███▌ | 682M/1.95G [00:04<00:01, 705MB/s] model-00007-of-00008.safetensors: 54%|█████▍ | 1.06G/1.95G [00:04<00:00, 1.15GB/s] model-00007-of-00008.safetensors: 62%|██████▏ | 1.21G/1.95G [00:07<00:03, 224MB/s] model-00007-of-00008.safetensors: 68%|██████▊ | 1.32G/1.95G [00:07<00:02, 253MB/s] model-00007-of-00008.safetensors: 73%|███████▎ | 1.41G/1.95G [00:07<00:01, 280MB/s] model-00007-of-00008.safetensors: 81%|████████ | 1.58G/1.95G [00:07<00:00, 391MB/s] model-00007-of-00008.safetensors: 88%|████████▊ | 1.72G/1.95G [00:07<00:00, 480MB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:07<00:00, 248MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/872M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 0%| | 2.13M/872M [00:01<09:17, 1.56MB/s] model-00008-of-00008.safetensors: 1%|▏ | 12.6M/872M [00:02<02:51, 5.00MB/s] model-00008-of-00008.safetensors: 3%|▎ | 23.1M/872M [00:03<01:56, 7.26MB/s] model-00008-of-00008.safetensors: 7%|▋ | 65.0M/872M [00:03<00:28, 28.3MB/s] model-00008-of-00008.safetensors: 19%|█▉ | 170M/872M [00:03<00:07, 96.9MB/s] model-00008-of-00008.safetensors: 40%|███▉ | 348M/872M [00:04<00:02, 244MB/s] model-00008-of-00008.safetensors: 51%|█████ | 443M/872M [00:04<00:01, 315MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 872M/872M [00:04<00:00, 202MB/s]
nitral-ai-expo-kukulstanta-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, 162MB/s]
nitral-ai-expo-kukulstanta-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, 3.80MB/s]
nitral-ai-expo-kukulstanta-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, 19.2MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 64.3MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 7.35MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Downloaded to shared memory in 68.948s
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Reading /tmp/tmp1n5ds7w8/model.safetensors.index.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<01:30, 3.19it/s] Profiling: 6%|▌ | 18/291 [00:00<00:04, 54.84it/s] Profiling: 13%|█▎ | 39/291 [00:00<00:03, 78.40it/s] Profiling: 20%|█▉ | 57/291 [00:00<00:02, 102.70it/s] Profiling: 27%|██▋ | 80/291 [00:00<00:01, 111.30it/s] Profiling: 34%|███▍ | 100/291 [00:01<00:01, 131.99it/s] Profiling: 42%|████▏ | 122/291 [00:01<00:01, 124.64it/s] Profiling: 48%|████▊ | 139/291 [00:01<00:01, 134.12it/s] Profiling: 55%|█████▍ | 160/291 [00:02<00:03, 36.76it/s] Profiling: 62%|██████▏ | 181/291 [00:02<00:02, 49.85it/s] Profiling: 68%|██████▊ | 197/291 [00:03<00:03, 29.41it/s] Profiling: 74%|███████▍ | 215/291 [00:04<00:01, 38.79it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 47.27it/s] Profiling: 86%|████████▋ | 251/291 [00:04<00:00, 62.29it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 77.40it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.68it/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: quantized model in 14.320s
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Processed model Nitral-AI/Expo-KukulStanta-7B in 84.140s
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1/config.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1/special_tokens_map.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1/tokenizer_config.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1/tokenizer.model
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-expo-kukulstanta-7b-v1/tokenizer.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-expo-kukulstanta-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-expo-kukulstanta-7b-v1-mkmlizer: warnings.warn(
nitral-ai-expo-kukulstanta-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, 11.3MB/s]
nitral-ai-expo-kukulstanta-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-expo-kukulstanta-7b-v1-mkmlizer: warnings.warn(
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.67MB/s]
nitral-ai-expo-kukulstanta-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, 17.3MB/s]
nitral-ai-expo-kukulstanta-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, 4.16MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 4.15MB/s]
nitral-ai-expo-kukulstanta-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-expo-kukulstanta-7b-v1-mkmlizer: warnings.warn(
nitral-ai-expo-kukulstanta-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<00:24, 57.9MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:36, 39.5MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:16, 83.6MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:01<00:04, 254MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:01<00:04, 250MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:01<00:04, 281MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:01<00:02, 488MB/s] pytorch_model.bin: 52%|█████▏ | 755M/1.44G [00:01<00:00, 1.23GB/s] pytorch_model.bin: 91%|█████████▏| 1.32G/1.44G [00:01<00:00, 2.33GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 905MB/s]
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Saving duration: 0.224s
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 15.713s
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/config.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/tokenizer_config.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/special_tokens_map.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/vocab.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/merges.txt
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/tokenizer.json
nitral-ai-expo-kukulstanta-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-expo-kukulstanta-7b-v1_reward/reward.tensors
Job nitral-ai-expo-kukulstanta-7b-v1-mkmlizer completed after 127.2s with status: succeeded
Stopping job with name nitral-ai-expo-kukulstanta-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 130.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-expo-kukulstanta-7b-v1
Waiting for inference service nitral-ai-expo-kukulstanta-7b-v1 to be ready
Inference service nitral-ai-expo-kukulstanta-7b-v1 ready after 30.18066120147705s
Pipeline stage ISVCDeployer completed in 37.51s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6890301704406738s
Received healthy response to inference request in 1.198349952697754s
Received healthy response to inference request in 1.199995994567871s
Received healthy response to inference request in 1.2041218280792236s
Received healthy response to inference request in 1.1989390850067139s
5 requests
0 failed requests
5th percentile: 1.198467779159546
10th percentile: 1.198585605621338
20th percentile: 1.1988212585449218
30th percentile: 1.1991504669189452
40th percentile: 1.1995732307434082
50th percentile: 1.199995994567871
60th percentile: 1.201646327972412
70th percentile: 1.2032966613769531
80th percentile: 1.3011034965515138
90th percentile: 1.4950668334960937
95th percentile: 1.5920485019683837
99th percentile: 1.6696338367462158
mean time: 1.2980874061584473
Pipeline stage StressChecker completed in 7.88s
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 0.09s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-expo-kukulstanta-7b_v1 status is now deployed due to DeploymentManager action
nitral-ai-expo-kukulstanta-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nitral-ai-expo-kukulstanta-7b_v1
Running pipeline stage ISVCDeleter
Checking if service nitral-ai-expo-kukulstanta-7b-v1 is running
Tearing down inference service nitral-ai-expo-kukulstanta-7b-v1
Toredown service nitral-ai-expo-kukulstanta-7b-v1
Pipeline stage ISVCDeleter completed in 3.21s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nitral-ai-expo-kukulstanta-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nitral-ai-expo-kukulstanta-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.83s
nitral-ai-expo-kukulstanta-7b_v1 status is now torndown due to DeploymentManager action