submission_id: seyf1elislam-westkunai-h_6416_v1
developer_uid: seyf1elislam
status: torndown
model_repo: seyf1elislam/WestKunai-Hermes-10.7b-test
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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': 4, '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: {'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}
timestamp: 2024-04-13T15:19:43+00:00
model_name: seyf1elislam-westkunai-h_6416_v1
model_eval_status: success
model_group: seyf1elislam/WestKunai-H
num_battles: 54580
num_wins: 25944
celo_rating: 1132.22
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 10731524096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: seyf1elislam-westkunai-h_6416_v1
ineligible_reason: propriety_total_count < 800
language_model: seyf1elislam/WestKunai-Hermes-10.7b-test
model_size: 11B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-13
win_ratio: 0.47533895199706855
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name seyf1elislam-westkunai-h-6416-v1-mkmlizer
Waiting for job on seyf1elislam-westkunai-h-6416-v1-mkmlizer to finish
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ _____ __ __ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ /___/ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ Version: 0.6.11 ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ The license key for the current software has been verified as ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ belonging to: ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ Chai Research Corp. ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6416-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
seyf1elislam-westkunai-h-6416-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.8MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: README.md: 0%| | 0.00/6.04k [00:00<?, ?B/s] README.md: 100%|██████████| 6.04k/6.04k [00:00<00:00, 41.0MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: config.json: 0%| | 0.00/649 [00:00<?, ?B/s] config.json: 100%|██████████| 649/649 [00:00<00:00, 10.5MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: mergekit_config.yml: 0%| | 0.00/478 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 478/478 [00:00<00:00, 6.08MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00001-of-00012.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00001-of-00012.safetensors: 1%| | 10.5M/1.98G [00:00<01:52, 17.6MB/s] model-00001-of-00012.safetensors: 1%| | 21.0M/1.98G [00:02<03:42, 8.80MB/s] model-00001-of-00012.safetensors: 2%|▏ | 31.5M/1.98G [00:02<02:19, 14.0MB/s] model-00001-of-00012.safetensors: 3%|▎ | 52.4M/1.98G [00:02<01:07, 28.6MB/s] model-00001-of-00012.safetensors: 7%|▋ | 136M/1.98G [00:02<00:17, 108MB/s] model-00001-of-00012.safetensors: 17%|█▋ | 336M/1.98G [00:02<00:04, 339MB/s] model-00001-of-00012.safetensors: 22%|██▏ | 440M/1.98G [00:02<00:03, 438MB/s] model-00001-of-00012.safetensors: 29%|██▊ | 566M/1.98G [00:02<00:02, 580MB/s] model-00001-of-00012.safetensors: 51%|█████ | 1.01G/1.98G [00:03<00:01, 505MB/s] model-00001-of-00012.safetensors: 57%|█████▋ | 1.12G/1.98G [00:04<00:01, 502MB/s] model-00001-of-00012.safetensors: 61%|██████ | 1.21G/1.98G [00:04<00:01, 437MB/s] model-00001-of-00012.safetensors: 64%|██████▍ | 1.27G/1.98G [00:04<00:01, 453MB/s] model-00001-of-00012.safetensors: 67%|██████▋ | 1.33G/1.98G [00:04<00:01, 462MB/s] model-00001-of-00012.safetensors: 80%|███████▉ | 1.58G/1.98G [00:04<00:00, 728MB/s] model-00001-of-00012.safetensors: 86%|████████▌ | 1.70G/1.98G [00:04<00:00, 759MB/s] model-00001-of-00012.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 380MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00002-of-00012.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00002-of-00012.safetensors: 1%| | 10.5M/1.98G [00:01<05:07, 6.41MB/s] model-00002-of-00012.safetensors: 1%| | 21.0M/1.98G [00:02<02:57, 11.0MB/s] model-00002-of-00012.safetensors: 2%|▏ | 31.5M/1.98G [00:02<02:06, 15.4MB/s] model-00002-of-00012.safetensors: 2%|▏ | 41.9M/1.98G [00:02<01:41, 19.1MB/s] model-00002-of-00012.safetensors: 6%|▋ | 126M/1.98G [00:02<00:19, 95.4MB/s] model-00002-of-00012.safetensors: 12%|█▏ | 241M/1.98G [00:03<00:08, 194MB/s] model-00002-of-00012.safetensors: 19%|█▊ | 367M/1.98G [00:03<00:04, 328MB/s] model-00002-of-00012.safetensors: 31%|███ | 619M/1.98G [00:03<00:02, 665MB/s] model-00002-of-00012.safetensors: 56%|█████▌ | 1.10G/1.98G [00:03<00:00, 1.40GB/s] model-00002-of-00012.safetensors: 67%|██████▋ | 1.33G/1.98G [00:04<00:00, 728MB/s] model-00002-of-00012.safetensors: 76%|███████▋ | 1.51G/1.98G [00:04<00:00, 626MB/s] model-00002-of-00012.safetensors: 83%|████████▎ | 1.64G/1.98G [00:04<00:00, 558MB/s] model-00002-of-00012.safetensors: 88%|████████▊ | 1.75G/1.98G [00:04<00:00, 606MB/s] model-00002-of-00012.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 394MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00003-of-00012.safetensors: 0%| | 0.00/1.90G [00:00<?, ?B/s] model-00003-of-00012.safetensors: 1%| | 10.5M/1.90G [00:02<06:13, 5.05MB/s] model-00003-of-00012.safetensors: 1%| | 21.0M/1.90G [00:02<03:09, 9.89MB/s] model-00003-of-00012.safetensors: 2%|▏ | 41.9M/1.90G [00:02<01:18, 23.5MB/s] model-00003-of-00012.safetensors: 5%|▍ | 94.4M/1.90G [00:02<00:26, 67.6MB/s] model-00003-of-00012.safetensors: 8%|▊ | 147M/1.90G [00:02<00:14, 117MB/s] model-00003-of-00012.safetensors: 13%|█▎ | 241M/1.90G [00:02<00:07, 230MB/s] model-00003-of-00012.safetensors: 22%|██▏ | 419M/1.90G [00:03<00:03, 483MB/s] model-00003-of-00012.safetensors: 27%|██▋ | 514M/1.90G [00:03<00:02, 551MB/s] model-00003-of-00012.safetensors: 56%|█████▌ | 1.06G/1.90G [00:03<00:00, 921MB/s] model-00003-of-00012.safetensors: 61%|██████▏ | 1.16G/1.90G [00:03<00:01, 662MB/s] model-00003-of-00012.safetensors: 67%|██████▋ | 1.27G/1.90G [00:04<00:00, 700MB/s] model-00003-of-00012.safetensors: 71%|███████▏ | 1.35G/1.90G [00:04<00:00, 647MB/s] model-00003-of-00012.safetensors: 75%|███████▌ | 1.43G/1.90G [00:04<00:00, 557MB/s] model-00003-of-00012.safetensors: 81%|████████▏ | 1.54G/1.90G [00:04<00:00, 650MB/s] model-00003-of-00012.safetensors: 86%|████████▌ | 1.62G/1.90G [00:04<00:00, 669MB/s] model-00003-of-00012.safetensors: 100%|█████████▉| 1.90G/1.90G [00:04<00:00, 392MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00004-of-00012.safetensors: 0%| | 0.00/1.90G [00:00<?, ?B/s] model-00004-of-00012.safetensors: 1%| | 10.5M/1.90G [00:02<06:45, 4.65MB/s] model-00004-of-00012.safetensors: 2%|▏ | 31.5M/1.90G [00:02<02:01, 15.4MB/s] model-00004-of-00012.safetensors: 3%|▎ | 52.4M/1.90G [00:02<01:04, 28.6MB/s] model-00004-of-00012.safetensors: 6%|▌ | 105M/1.90G [00:02<00:24, 73.1MB/s] model-00004-of-00012.safetensors: 9%|▉ | 178M/1.90G [00:02<00:11, 146MB/s] model-00004-of-00012.safetensors: 17%|█▋ | 325M/1.90G [00:02<00:04, 323MB/s] model-00004-of-00012.safetensors: 22%|██▏ | 409M/1.90G [00:03<00:03, 383MB/s] model-00004-of-00012.safetensors: 34%|███▍ | 650M/1.90G [00:03<00:01, 746MB/s] model-00004-of-00012.safetensors: 57%|█████▋ | 1.08G/1.90G [00:03<00:00, 1.40GB/s] model-00004-of-00012.safetensors: 67%|██████▋ | 1.28G/1.90G [00:03<00:00, 783MB/s] model-00004-of-00012.safetensors: 75%|███████▌ | 1.43G/1.90G [00:04<00:00, 646MB/s] model-00004-of-00012.safetensors: 81%|████████▏ | 1.54G/1.90G [00:04<00:00, 590MB/s] model-00004-of-00012.safetensors: 86%|████████▋ | 1.64G/1.90G [00:04<00:00, 616MB/s] model-00004-of-00012.safetensors: 100%|█████████▉| 1.90G/1.90G [00:04<00:00, 400MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00005-of-00012.safetensors: 0%| | 0.00/1.89G [00:00<?, ?B/s] model-00005-of-00012.safetensors: 1%| | 10.5M/1.89G [00:00<01:21, 23.1MB/s] model-00005-of-00012.safetensors: 1%| | 21.0M/1.89G [00:02<03:23, 9.18MB/s] model-00005-of-00012.safetensors: 2%|▏ | 31.5M/1.89G [00:02<02:01, 15.3MB/s] model-00005-of-00012.safetensors: 2%|▏ | 41.9M/1.89G [00:02<01:35, 19.3MB/s] model-00005-of-00012.safetensors: 3%|▎ | 52.4M/1.89G [00:02<01:08, 26.9MB/s] model-00005-of-00012.safetensors: 4%|▍ | 83.9M/1.89G [00:02<00:30, 59.6MB/s] model-00005-of-00012.safetensors: 6%|▌ | 115M/1.89G [00:02<00:18, 95.3MB/s] model-00005-of-00012.safetensors: 15%|█▍ | 283M/1.89G [00:02<00:04, 351MB/s] model-00005-of-00012.safetensors: 19%|█▉ | 367M/1.89G [00:03<00:03, 443MB/s] model-00005-of-00012.safetensors: 24%|██▍ | 451M/1.89G [00:03<00:02, 516MB/s] model-00005-of-00012.safetensors: 57%|█████▋ | 1.07G/1.89G [00:03<00:00, 1.73GB/s] model-00005-of-00012.safetensors: 68%|██████▊ | 1.28G/1.89G [00:04<00:00, 761MB/s] model-00005-of-00012.safetensors: 76%|███████▌ | 1.44G/1.89G [00:04<00:00, 657MB/s] model-00005-of-00012.safetensors: 83%|████████▎ | 1.56G/1.89G [00:04<00:00, 699MB/s] model-00005-of-00012.safetensors: 89%|████████▉ | 1.68G/1.89G [00:04<00:00, 701MB/s] model-00005-of-00012.safetensors: 100%|█████████▉| 1.89G/1.89G [00:04<00:00, 395MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00006-of-00012.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00006-of-00012.safetensors: 1%| | 10.5M/1.98G [00:02<06:47, 4.83MB/s] model-00006-of-00012.safetensors: 1%| | 21.0M/1.98G [00:02<03:07, 10.4MB/s] model-00006-of-00012.safetensors: 3%|▎ | 52.4M/1.98G [00:02<00:59, 32.6MB/s] model-00006-of-00012.safetensors: 4%|▎ | 73.4M/1.98G [00:02<00:41, 46.1MB/s] model-00006-of-00012.safetensors: 6%|▌ | 115M/1.98G [00:02<00:21, 86.7MB/s] model-00006-of-00012.safetensors: 12%|█▏ | 241M/1.98G [00:02<00:07, 238MB/s] model-00006-of-00012.safetensors: 20%|██ | 398M/1.98G [00:03<00:03, 414MB/s] model-00006-of-00012.safetensors: 25%|██▍ | 493M/1.98G [00:03<00:02, 503MB/s] model-00006-of-00012.safetensors: 54%|█████▍ | 1.07G/1.98G [00:03<00:00, 1.14GB/s] model-00006-of-00012.safetensors: 60%|██████ | 1.20G/1.98G [00:04<00:01, 655MB/s] model-00006-of-00012.safetensors: 65%|██████▌ | 1.29G/1.98G [00:04<00:01, 611MB/s] model-00006-of-00012.safetensors: 69%|██████▉ | 1.37G/1.98G [00:04<00:01, 557MB/s] model-00006-of-00012.safetensors: 73%|███████▎ | 1.45G/1.98G [00:04<00:01, 455MB/s] model-00006-of-00012.safetensors: 80%|███████▉ | 1.58G/1.98G [00:04<00:00, 564MB/s] model-00006-of-00012.safetensors: 84%|████████▎ | 1.65G/1.98G [00:04<00:00, 556MB/s] model-00006-of-00012.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 386MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00007-of-00012.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00007-of-00012.safetensors: 1%| | 10.5M/1.95G [00:02<07:08, 4.52MB/s] model-00007-of-00012.safetensors: 1%| | 21.0M/1.95G [00:02<03:21, 9.54MB/s] model-00007-of-00012.safetensors: 2%|▏ | 41.9M/1.95G [00:02<01:21, 23.5MB/s] model-00007-of-00012.safetensors: 4%|▍ | 73.4M/1.95G [00:02<00:38, 49.2MB/s] model-00007-of-00012.safetensors: 8%|▊ | 147M/1.95G [00:02<00:14, 126MB/s] model-00007-of-00012.safetensors: 12%|█▏ | 241M/1.95G [00:03<00:07, 237MB/s] model-00007-of-00012.safetensors: 20%|██ | 398M/1.95G [00:03<00:03, 449MB/s] model-00007-of-00012.safetensors: 25%|██▍ | 482M/1.95G [00:03<00:02, 509MB/s] model-00007-of-00012.safetensors: 40%|███▉ | 776M/1.95G [00:03<00:01, 1.01GB/s] model-00007-of-00012.safetensors: 57%|█████▋ | 1.11G/1.95G [00:03<00:00, 1.36GB/s] model-00007-of-00012.safetensors: 66%|██████▌ | 1.29G/1.95G [00:04<00:00, 754MB/s] model-00007-of-00012.safetensors: 74%|███████▎ | 1.43G/1.95G [00:04<00:00, 840MB/s] model-00007-of-00012.safetensors: 84%|████████▍ | 1.63G/1.95G [00:04<00:00, 990MB/s] model-00007-of-00012.safetensors: 91%|█████████▏| 1.78G/1.95G [00:04<00:00, 940MB/s] model-00007-of-00012.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 432MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00008-of-00012.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00008-of-00012.safetensors: 1%| | 10.5M/1.98G [00:00<01:03, 30.9MB/s] model-00008-of-00012.safetensors: 1%| | 21.0M/1.98G [00:02<03:57, 8.24MB/s] model-00008-of-00012.safetensors: 2%|▏ | 41.9M/1.98G [00:02<01:38, 19.7MB/s] model-00008-of-00012.safetensors: 4%|▍ | 83.9M/1.98G [00:02<00:37, 50.2MB/s] model-00008-of-00012.safetensors: 9%|▉ | 178M/1.98G [00:02<00:12, 139MB/s] model-00008-of-00012.safetensors: 14%|█▍ | 273M/1.98G [00:02<00:07, 230MB/s] model-00008-of-00012.safetensors: 17%|█▋ | 346M/1.98G [00:02<00:05, 302MB/s] model-00008-of-00012.safetensors: 30%|███ | 598M/1.98G [00:02<00:02, 681MB/s] model-00008-of-00012.safetensors: 56%|█████▌ | 1.11G/1.98G [00:03<00:00, 1.52GB/s] model-00008-of-00012.safetensors: 68%|██████▊ | 1.34G/1.98G [00:03<00:00, 680MB/s] model-00008-of-00012.safetensors: 76%|███████▋ | 1.51G/1.98G [00:04<00:00, 580MB/s] model-00008-of-00012.safetensors: 83%|████████▎ | 1.64G/1.98G [00:04<00:00, 609MB/s] model-00008-of-00012.safetensors: 89%|████████▉ | 1.76G/1.98G [00:04<00:00, 672MB/s] model-00008-of-00012.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 388MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00009-of-00012.safetensors: 0%| | 0.00/1.89G [00:00<?, ?B/s] model-00009-of-00012.safetensors: 1%| | 10.5M/1.89G [00:01<04:45, 6.57MB/s] model-00009-of-00012.safetensors: 1%| | 21.0M/1.89G [00:02<03:03, 10.2MB/s] model-00009-of-00012.safetensors: 2%|▏ | 31.5M/1.89G [00:02<02:13, 13.9MB/s] model-00009-of-00012.safetensors: 2%|▏ | 41.9M/1.89G [00:02<01:29, 20.8MB/s] model-00009-of-00012.safetensors: 4%|▍ | 73.4M/1.89G [00:02<00:37, 48.7MB/s] model-00009-of-00012.safetensors: 6%|▌ | 105M/1.89G [00:03<00:22, 81.1MB/s] model-00009-of-00012.safetensors: 9%|▉ | 168M/1.89G [00:03<00:10, 161MB/s] model-00009-of-00012.safetensors: 17%|█▋ | 315M/1.89G [00:03<00:04, 382MB/s] model-00009-of-00012.safetensors: 21%|██ | 388M/1.89G [00:03<00:03, 424MB/s] model-00009-of-00012.safetensors: 32%|███▏ | 608M/1.89G [00:03<00:01, 794MB/s] model-00009-of-00012.safetensors: 58%|█████▊ | 1.10G/1.89G [00:03<00:00, 1.59GB/s] model-00009-of-00012.safetensors: 68%|██████▊ | 1.29G/1.89G [00:04<00:00, 722MB/s] model-00009-of-00012.safetensors: 76%|███████▌ | 1.43G/1.89G [00:04<00:00, 570MB/s] model-00009-of-00012.safetensors: 82%|████████▏ | 1.54G/1.89G [00:04<00:00, 539MB/s] model-00009-of-00012.safetensors: 91%|█████████ | 1.71G/1.89G [00:05<00:00, 674MB/s] model-00009-of-00012.safetensors: 100%|█████████▉| 1.89G/1.89G [00:05<00:00, 368MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00010-of-00012.safetensors: 0%| | 0.00/1.90G [00:00<?, ?B/s] model-00010-of-00012.safetensors: 1%| | 10.5M/1.90G [00:00<01:05, 28.7MB/s] model-00010-of-00012.safetensors: 1%| | 21.0M/1.90G [00:01<02:19, 13.5MB/s] model-00010-of-00012.safetensors: 2%|▏ | 31.5M/1.90G [00:02<02:10, 14.3MB/s] model-00010-of-00012.safetensors: 2%|▏ | 41.9M/1.90G [00:02<01:26, 21.3MB/s] model-00010-of-00012.safetensors: 3%|▎ | 52.4M/1.90G [00:02<01:07, 27.3MB/s] model-00010-of-00012.safetensors: 4%|▍ | 83.9M/1.90G [00:02<00:32, 55.6MB/s] model-00010-of-00012.safetensors: 6%|▌ | 105M/1.90G [00:02<00:24, 74.0MB/s] model-00010-of-00012.safetensors: 15%|█▍ | 283M/1.90G [00:02<00:04, 338MB/s] model-00010-of-00012.safetensors: 20%|██ | 388M/1.90G [00:02<00:03, 443MB/s] model-00010-of-00012.safetensors: 27%|██▋ | 514M/1.90G [00:03<00:02, 600MB/s] model-00010-of-00012.safetensors: 55%|█████▌ | 1.05G/1.90G [00:03<00:00, 1.25GB/s] model-00010-of-00012.safetensors: 62%|██████▏ | 1.18G/1.90G [00:03<00:01, 628MB/s] model-00010-of-00012.safetensors: 67%|██████▋ | 1.28G/1.90G [00:04<00:01, 449MB/s] model-00010-of-00012.safetensors: 71%|███████▏ | 1.35G/1.90G [00:04<00:01, 458MB/s] model-00010-of-00012.safetensors: 77%|███████▋ | 1.46G/1.90G [00:04<00:00, 524MB/s] model-00010-of-00012.safetensors: 83%|████████▎ | 1.57G/1.90G [00:04<00:00, 586MB/s] model-00010-of-00012.safetensors: 99%|█████████▉| 1.87G/1.90G [00:04<00:00, 996MB/s] model-00010-of-00012.safetensors: 100%|█████████▉| 1.90G/1.90G [00:07<00:00, 252MB/s]
Failed to get response for submission blend_gulur_2024-04-10: ('http://a100-anhnv125-llama-op-v17-1-v32-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '')
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00011-of-00012.safetensors: 0%| | 0.00/1.90G [00:00<?, ?B/s] model-00011-of-00012.safetensors: 1%| | 10.5M/1.90G [00:01<05:39, 5.55MB/s] model-00011-of-00012.safetensors: 1%| | 21.0M/1.90G [00:02<03:11, 9.81MB/s] model-00011-of-00012.safetensors: 2%|▏ | 41.9M/1.90G [00:02<01:21, 22.8MB/s] model-00011-of-00012.safetensors: 3%|▎ | 62.9M/1.90G [00:02<00:47, 38.8MB/s] model-00011-of-00012.safetensors: 10%|▉ | 189M/1.90G [00:02<00:09, 171MB/s] model-00011-of-00012.safetensors: 16%|█▌ | 304M/1.90G [00:02<00:05, 288MB/s] model-00011-of-00012.safetensors: 19%|█▉ | 367M/1.90G [00:03<00:04, 321MB/s] model-00011-of-00012.safetensors: 49%|████▉ | 933M/1.90G [00:03<00:00, 1.24GB/s] model-00011-of-00012.safetensors: 61%|██████ | 1.15G/1.90G [00:03<00:00, 970MB/s] model-00011-of-00012.safetensors: 70%|███████ | 1.33G/1.90G [00:03<00:00, 835MB/s] model-00011-of-00012.safetensors: 77%|███████▋ | 1.47G/1.90G [00:04<00:00, 744MB/s] model-00011-of-00012.safetensors: 84%|████████▎ | 1.58G/1.90G [00:04<00:00, 649MB/s] model-00011-of-00012.safetensors: 89%|████████▉ | 1.69G/1.90G [00:04<00:00, 703MB/s] model-00011-of-00012.safetensors: 100%|█████████▉| 1.90G/1.90G [00:04<00:00, 419MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model-00012-of-00012.safetensors: 0%| | 0.00/235M [00:00<?, ?B/s] model-00012-of-00012.safetensors: 4%|▍ | 10.5M/235M [00:00<00:08, 27.6MB/s] model-00012-of-00012.safetensors: 13%|█▎ | 31.5M/235M [00:00<00:02, 74.2MB/s] model-00012-of-00012.safetensors: 20%|█▉ | 46.2M/235M [00:00<00:02, 90.3MB/s] model-00012-of-00012.safetensors: 33%|███▎ | 77.6M/235M [00:00<00:01, 141MB/s] model-00012-of-00012.safetensors: 87%|████████▋ | 203M/235M [00:00<00:00, 416MB/s] model-00012-of-00012.safetensors: 100%|█████████▉| 235M/235M [00:00<00:00, 250MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/34.1k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 34.1k/34.1k [00:00<00:00, 184MB/s]
seyf1elislam-westkunai-h-6416-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, 6.43MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 13.3MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 13.3MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 48.6MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 16.0MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Downloaded to shared memory in 68.896s
seyf1elislam-westkunai-h-6416-v1-mkmlizer: quantizing model to /dev/shm/model_cache
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Reading /tmp/tmpgld1u4q2/model.safetensors.index.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Profiling: 0%| | 0/435 [00:00<?, ?it/s] Profiling: 0%| | 1/435 [00:01<09:06, 1.26s/it] Profiling: 3%|▎ | 13/435 [00:01<00:32, 12.94it/s] Profiling: 6%|▌ | 27/435 [00:01<00:14, 28.67it/s] Profiling: 9%|▉ | 41/435 [00:01<00:09, 41.44it/s] Profiling: 12%|█▏ | 53/435 [00:01<00:07, 53.30it/s] Profiling: 18%|█▊ | 79/435 [00:01<00:03, 89.63it/s] Profiling: 22%|██▏ | 94/435 [00:02<00:03, 88.19it/s] Profiling: 25%|██▌ | 110/435 [00:02<00:03, 101.40it/s] Profiling: 29%|██▊ | 124/435 [00:02<00:03, 102.91it/s] Profiling: 31%|███▏ | 137/435 [00:02<00:03, 96.71it/s] Profiling: 34%|███▍ | 150/435 [00:02<00:02, 103.46it/s] Profiling: 38%|███▊ | 167/435 [00:04<00:14, 18.86it/s] Profiling: 41%|████▏ | 180/435 [00:04<00:10, 24.44it/s] Profiling: 46%|████▌ | 198/435 [00:05<00:06, 35.03it/s] Profiling: 48%|████▊ | 210/435 [00:05<00:05, 41.25it/s] Profiling: 51%|█████ | 222/435 [00:05<00:04, 49.24it/s] Profiling: 54%|█████▍ | 235/435 [00:05<00:03, 60.03it/s] Profiling: 57%|█████▋ | 247/435 [00:05<00:02, 63.77it/s] Profiling: 61%|██████ | 264/435 [00:05<00:02, 80.64it/s] Profiling: 64%|██████▎ | 277/435 [00:05<00:01, 88.10it/s] Profiling: 66%|██████▋ | 289/435 [00:05<00:01, 86.82it/s] Profiling: 70%|██████▉ | 303/435 [00:06<00:01, 95.27it/s] Profiling: 73%|███████▎ | 317/435 [00:06<00:01, 105.01it/s] Profiling: 76%|███████▌ | 329/435 [00:07<00:04, 23.34it/s] Profiling: 79%|███████▉ | 343/435 [00:07<00:02, 31.27it/s] Profiling: 83%|████████▎ | 359/435 [00:07<00:01, 40.90it/s] Profiling: 86%|████████▌ | 374/435 [00:08<00:01, 52.89it/s] Profiling: 89%|████████▉ | 387/435 [00:08<00:00, 62.48it/s] Profiling: 92%|█████████▏| 399/435 [00:08<00:00, 63.52it/s] Profiling: 94%|█████████▍| 411/435 [00:08<00:00, 72.93it/s] Profiling: 97%|█████████▋| 423/435 [00:08<00:00, 81.82it/s] Profiling: 100%|█████████▉| 434/435 [00:08<00:00, 79.41it/s] Profiling: 100%|██████████| 435/435 [00:08<00:00, 49.61it/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: quantized model in 24.955s
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Processed model seyf1elislam/WestKunai-Hermes-10.7b-test in 95.174s
seyf1elislam-westkunai-h-6416-v1-mkmlizer: creating bucket guanaco-mkml-models
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6416-v1/mkml_model.tensors
seyf1elislam-westkunai-h-6416-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
seyf1elislam-westkunai-h-6416-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.
seyf1elislam-westkunai-h-6416-v1-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6416-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.9MB/s]
seyf1elislam-westkunai-h-6416-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.
seyf1elislam-westkunai-h-6416-v1-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6416-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.02MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 28.9MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 19.8MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 19.7MB/s]
seyf1elislam-westkunai-h-6416-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.
seyf1elislam-westkunai-h-6416-v1-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6416-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:56, 25.2MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:11, 125MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:02, 444MB/s] pytorch_model.bin: 37%|███▋ | 535M/1.44G [00:00<00:00, 1.00GB/s] pytorch_model.bin: 45%|████▌ | 650M/1.44G [00:01<00:01, 785MB/s] pytorch_model.bin: 52%|█████▏ | 744M/1.44G [00:02<00:02, 290MB/s] pytorch_model.bin: 58%|█████▊ | 839M/1.44G [00:02<00:01, 324MB/s] pytorch_model.bin: 83%|████████▎ | 1.20G/1.44G [00:02<00:00, 684MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 599MB/s]
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Saving duration: 0.311s
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.734s
seyf1elislam-westkunai-h-6416-v1-mkmlizer: creating bucket guanaco-reward-models
seyf1elislam-westkunai-h-6416-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
seyf1elislam-westkunai-h-6416-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/config.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/tokenizer_config.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/special_tokens_map.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/vocab.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/merges.txt
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/tokenizer.json
seyf1elislam-westkunai-h-6416-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/seyf1elislam-westkunai-h-6416-v1_reward/reward.tensors
Job seyf1elislam-westkunai-h-6416-v1-mkmlizer completed after 146.9s with status: succeeded
Stopping job with name seyf1elislam-westkunai-h-6416-v1-mkmlizer
Pipeline stage MKMLizer completed in 151.10s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service seyf1elislam-westkunai-h-6416-v1
Waiting for inference service seyf1elislam-westkunai-h-6416-v1 to be ready
Inference service seyf1elislam-westkunai-h-6416-v1 ready after 60.37909483909607s
Pipeline stage ISVCDeployer completed in 68.20s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4358549118041992s
Received healthy response to inference request in 1.190361738204956s
Received healthy response to inference request in 2.5727643966674805s
Received healthy response to inference request in 1.5552308559417725s
Received healthy response to inference request in 1.543623447418213s
5 requests
0 failed requests
5th percentile: 1.2394603729248046
10th percentile: 1.2885590076446534
20th percentile: 1.3867562770843507
30th percentile: 1.457408618927002
40th percentile: 1.5005160331726075
50th percentile: 1.543623447418213
60th percentile: 1.5482664108276367
70th percentile: 1.5529093742370605
80th percentile: 1.7587375640869143
90th percentile: 2.1657509803771973
95th percentile: 2.369257688522339
99th percentile: 2.532063055038452
mean time: 1.6595670700073242
Pipeline stage StressChecker completed in 9.18s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
seyf1elislam-westkunai-h_6416_v1 status is now deployed due to DeploymentManager action
seyf1elislam-westkunai-h_6416_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of seyf1elislam-westkunai-h_6416_v1
Running pipeline stage ISVCDeleter
Checking if service seyf1elislam-westkunai-h-6416-v1 is running
Tearing down inference service seyf1elislam-westkunai-h-6416-v1
Toredown service seyf1elislam-westkunai-h-6416-v1
Pipeline stage ISVCDeleter completed in 4.25s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key seyf1elislam-westkunai-h-6416-v1/config.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6416-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6416-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6416-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6416-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6416-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/config.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6416-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.60s
seyf1elislam-westkunai-h_6416_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics