submission_id: hflserdaniel-chai-s6-13_2318_v11
developer_uid: chai_backend_admin
status: inactive
model_repo: hflserdaniel/chai_s6_13b_slp3
reward_repo: ChaiML/reward_models_100_170000000_cp_498032
generation_params: {'temperature': 1.0, 'top_p': 0.8, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['<|im_end|>', '</s>', '<|endoftext|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 48}
formatter: {'memory_template': "### Instruction:\n As the assistant, your task is to become the assigned character, weaving engaging stories that fully embrace their personality and background. Ensure your responses capture the essence of the character's traits accurately, immersing users in emotional, suspenseful, and anticipatory narratives. Craft more detailed and descriptive replies to enhance the vividness of the story. Foster an interactive environment by introducing new elements, providing choices, or posing questions to encourage active user participation. Think of the conversation as a continuous dance, always unfolding and evolving.\nYour character: {bot_name}.\nContext:{memory}\n", 'prompt_template': 'Example conversation:\n{prompt}\n', 'bot_template': '### Response:\n{bot_name}: {message}\n', 'user_template': '### Input:\n{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:'}
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}:'}
timestamp: 2024-03-31T01:57:42+00:00
model_name: chai_s6_13b_slp3-48
model_eval_status: success
safety_score: None
entertaining: 6.88
stay_in_character: 8.48
user_preference: 7.14
double_thumbs_up: 139
thumbs_up: 196
thumbs_down: 98
num_battles: 20633
num_wins: 8630
win_ratio: 0.4182620074637716
celo_rating: 1100.09
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v11-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v11-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.4MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: README.md: 0%| | 0.00/949 [00:00<?, ?B/s] README.md: 100%|██████████| 949/949 [00:00<00:00, 15.6MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: added_tokens.json: 0%| | 0.00/21.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 168kB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: config.json: 0%| | 0.00/738 [00:00<?, ?B/s] config.json: 100%|██████████| 738/738 [00:00<00:00, 11.9MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: mergekit_config.yml: 0%| | 0.00/370 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 370/370 [00:00<00:00, 6.13MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/9.95G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/9.95G [00:01<25:49, 6.41MB/s] model-00001-of-00003.safetensors: 0%| | 41.9M/9.95G [00:01<05:42, 28.9MB/s] model-00001-of-00003.safetensors: 1%| | 62.9M/9.95G [00:01<03:35, 45.8MB/s] model-00001-of-00003.safetensors: 1%| | 115M/9.95G [00:02<01:37, 100MB/s] model-00001-of-00003.safetensors: 2%|▏ | 168M/9.95G [00:02<01:01, 160MB/s] model-00001-of-00003.safetensors: 2%|▏ | 220M/9.95G [00:02<00:45, 214MB/s] model-00001-of-00003.safetensors: 3%|▎ | 262M/9.95G [00:02<00:46, 207MB/s] model-00001-of-00003.safetensors: 3%|▎ | 336M/9.95G [00:02<00:31, 302MB/s] model-00001-of-00003.safetensors: 4%|▍ | 409M/9.95G [00:02<00:25, 370MB/s] model-00001-of-00003.safetensors: 5%|▍ | 472M/9.95G [00:02<00:22, 423MB/s] model-00001-of-00003.safetensors: 5%|▌ | 524M/9.95G [00:02<00:21, 443MB/s] model-00001-of-00003.safetensors: 6%|▌ | 598M/9.95G [00:03<00:18, 514MB/s] model-00001-of-00003.safetensors: 7%|▋ | 682M/9.95G [00:03<00:17, 529MB/s] model-00001-of-00003.safetensors: 7%|▋ | 744M/9.95G [00:03<00:22, 416MB/s] model-00001-of-00003.safetensors: 8%|▊ | 828M/9.95G [00:03<00:19, 473MB/s] model-00001-of-00003.safetensors: 9%|▉ | 891M/9.95G [00:03<00:25, 361MB/s] model-00001-of-00003.safetensors: 10%|▉ | 954M/9.95G [00:03<00:22, 398MB/s] model-00001-of-00003.safetensors: 10%|█ | 1.01G/9.95G [00:04<00:26, 344MB/s] model-00001-of-00003.safetensors: 11%|█ | 1.06G/9.95G [00:04<00:25, 352MB/s] model-00001-of-00003.safetensors: 11%|█ | 1.10G/9.95G [00:04<00:25, 345MB/s] model-00001-of-00003.safetensors: 12%|█▏ | 1.17G/9.95G [00:04<00:25, 348MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 1.26G/9.95G [00:04<00:19, 441MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 1.31G/9.95G [00:04<00:20, 422MB/s] model-00001-of-00003.safetensors: 14%|█▎ | 1.36G/9.95G [00:05<00:28, 297MB/s] model-00001-of-00003.safetensors: 14%|█▍ | 1.41G/9.95G [00:05<00:32, 267MB/s] model-00001-of-00003.safetensors: 15%|█▍ | 1.48G/9.95G [00:05<00:28, 301MB/s] model-00001-of-00003.safetensors: 15%|█▌ | 1.52G/9.95G [00:05<00:26, 313MB/s] model-00001-of-00003.safetensors: 16%|█▌ | 1.56G/9.95G [00:05<00:26, 317MB/s] model-00001-of-00003.safetensors: 16%|█▌ | 1.60G/9.95G [00:05<00:26, 317MB/s] model-00001-of-00003.safetensors: 17%|█▋ | 1.65G/9.95G [00:06<00:26, 317MB/s] model-00001-of-00003.safetensors: 17%|█▋ | 1.72G/9.95G [00:06<00:21, 386MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 1.77G/9.95G [00:06<00:19, 411MB/s] model-00001-of-00003.safetensors: 18%|█▊ | 1.82G/9.95G [00:06<00:27, 292MB/s] model-00001-of-00003.safetensors: 19%|█▉ | 1.89G/9.95G [00:06<00:27, 293MB/s] model-00001-of-00003.safetensors: 19%|█▉ | 1.93G/9.95G [00:07<00:26, 306MB/s] model-00001-of-00003.safetensors: 20%|█▉ | 1.97G/9.95G [00:07<00:35, 228MB/s] model-00001-of-00003.safetensors: 20%|██ | 2.01G/9.95G [00:07<00:30, 258MB/s] model-00001-of-00003.safetensors: 21%|██ | 2.06G/9.95G [00:07<00:31, 249MB/s] model-00001-of-00003.safetensors: 21%|██ | 2.11G/9.95G [00:07<00:29, 269MB/s] model-00001-of-00003.safetensors: 22%|██▏ | 2.14G/9.95G [00:07<00:29, 260MB/s] model-00001-of-00003.safetensors: 22%|██▏ | 2.19G/9.95G [00:08<00:24, 313MB/s] model-00001-of-00003.safetensors: 22%|██▏ | 2.23G/9.95G [00:08<00:36, 209MB/s] model-00001-of-00003.safetensors: 23%|██▎ | 2.26G/9.95G [00:08<00:34, 222MB/s] model-00001-of-00003.safetensors: 23%|██▎ | 2.31G/9.95G [00:08<00:32, 234MB/s] model-00001-of-00003.safetensors: 24%|██▎ | 2.36G/9.95G [00:08<00:27, 274MB/s] model-00001-of-00003.safetensors: 24%|██▍ | 2.42G/9.95G [00:08<00:25, 301MB/s] model-00001-of-00003.safetensors: 25%|██▍ | 2.46G/9.95G [00:09<00:24, 308MB/s] model-00001-of-00003.safetensors: 25%|██▌ | 2.51G/9.95G [00:09<00:24, 308MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 2.55G/9.95G [00:09<00:26, 280MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 2.58G/9.95G [00:09<00:29, 248MB/s] model-00001-of-00003.safetensors: 26%|██▌ | 2.61G/9.95G [00:09<00:29, 248MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 2.66G/9.95G [00:09<00:31, 230MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 2.69G/9.95G [00:10<00:34, 209MB/s] model-00001-of-00003.safetensors: 27%|██▋ | 2.73G/9.95G [00:10<00:32, 223MB/s] model-00001-of-00003.safetensors: 28%|██▊ | 2.76G/9.95G [00:10<00:29, 242MB/s] model-00001-of-00003.safetensors: 28%|██▊ | 2.79G/9.95G [00:10<00:36, 195MB/s] model-00001-of-00003.safetensors: 29%|██▉ | 2.86G/9.95G [00:10<00:26, 266MB/s] model-00001-of-00003.safetensors: 29%|██▉ | 2.89G/9.95G [00:10<00:25, 274MB/s] model-00001-of-00003.safetensors: 30%|██▉ | 2.95G/9.95G [00:10<00:21, 326MB/s] model-00001-of-00003.safetensors: 30%|███ | 2.99G/9.95G [00:11<00:21, 331MB/s] model-00001-of-00003.safetensors: 30%|███ | 3.03G/9.95G [00:11<00:21, 328MB/s] model-00001-of-00003.safetensors: 31%|███ | 3.07G/9.95G [00:11<00:24, 277MB/s] model-00001-of-00003.safetensors: 31%|███ | 3.10G/9.95G [00:11<00:27, 253MB/s] model-00001-of-00003.safetensors: 32%|███▏ | 3.20G/9.95G [00:11<00:21, 321MB/s] model-00001-of-00003.safetensors: 33%|███▎ | 3.24G/9.95G [00:11<00:21, 313MB/s] model-00001-of-00003.safetensors: 33%|███▎ | 3.27G/9.95G [00:12<00:28, 235MB/s] model-00001-of-00003.safetensors: 33%|███▎ | 3.30G/9.95G [00:12<00:27, 241MB/s] model-00001-of-00003.safetensors: 34%|███▎ | 3.34G/9.95G [00:12<00:26, 251MB/s] model-00001-of-00003.safetensors: 34%|███▍ | 3.39G/9.95G [00:12<00:24, 273MB/s] model-00001-of-00003.safetensors: 34%|███▍ | 3.43G/9.95G [00:12<00:22, 291MB/s] model-00001-of-00003.safetensors: 35%|███▍ | 3.46G/9.95G [00:12<00:22, 284MB/s] model-00001-of-00003.safetensors: 35%|███▌ | 3.50G/9.95G [00:12<00:21, 302MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 3.54G/9.95G [00:13<00:22, 286MB/s] model-00001-of-00003.safetensors: 36%|███▋ | 3.62G/9.95G [00:13<00:19, 329MB/s] model-00001-of-00003.safetensors: 37%|███▋ | 3.66G/9.95G [00:13<00:21, 299MB/s] model-00001-of-00003.safetensors: 37%|███▋ | 3.69G/9.95G [00:13<00:23, 263MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 3.75G/9.95G [00:13<00:18, 331MB/s] model-00001-of-00003.safetensors: 38%|███▊ | 3.80G/9.95G [00:13<00:19, 319MB/s] model-00001-of-00003.safetensors: 39%|███▊ | 3.84G/9.95G [00:14<00:19, 313MB/s] model-00001-of-00003.safetensors: 39%|███▉ | 3.88G/9.95G [00:14<00:24, 246MB/s] model-00001-of-00003.safetensors: 40%|███▉ | 3.93G/9.95G [00:14<00:21, 281MB/s] model-00001-of-00003.safetensors: 40%|███▉ | 3.96G/9.95G [00:14<00:22, 266MB/s] model-00001-of-00003.safetensors: 41%|████ | 4.04G/9.95G [00:14<00:21, 277MB/s] model-00001-of-00003.safetensors: 41%|████▏ | 4.12G/9.95G [00:15<00:19, 305MB/s] model-00001-of-00003.safetensors: 42%|████▏ | 4.16G/9.95G [00:15<00:19, 296MB/s] model-00001-of-00003.safetensors: 42%|████▏ | 4.19G/9.95G [00:15<00:20, 287MB/s] model-00001-of-00003.safetensors: 42%|████▏ | 4.23G/9.95G [00:15<00:20, 285MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 4.26G/9.95G [00:15<00:20, 283MB/s] model-00001-of-00003.safetensors: 43%|████▎ | 4.31G/9.95G [00:15<00:18, 301MB/s] model-00001-of-00003.safetensors: 44%|████▎ | 4.34G/9.95G [00:15<00:19, 281MB/s] model-00001-of-00003.safetensors: 44%|████▍ | 4.38G/9.95G [00:16<00:19, 293MB/s] model-00001-of-00003.safetensors: 44%|████▍ | 4.42G/9.95G [00:16<00:17, 316MB/s] model-00001-of-00003.safetensors: 45%|████▍ | 4.47G/9.95G [00:16<00:16, 333MB/s] model-00001-of-00003.safetensors: 45%|████▌ | 4.51G/9.95G [00:16<00:15, 355MB/s] model-00001-of-00003.safetensors: 46%|████▌ | 4.56G/9.95G [00:16<00:13, 400MB/s] model-00001-of-00003.safetensors: 46%|████▋ | 4.60G/9.95G [00:16<00:15, 353MB/s] model-00001-of-00003.safetensors: 47%|████▋ | 4.65G/9.95G [00:16<00:15, 336MB/s] model-00001-of-00003.safetensors: 47%|████▋ | 4.69G/9.95G [00:16<00:16, 322MB/s] model-00001-of-00003.safetensors: 48%|████▊ | 4.73G/9.95G [00:16<00:15, 329MB/s] model-00001-of-00003.safetensors: 48%|████▊ | 4.79G/9.95G [00:17<00:12, 401MB/s] model-00001-of-00003.safetensors: 49%|████▊ | 4.83G/9.95G [00:17<00:15, 327MB/s] model-00001-of-00003.safetensors: 49%|████▉ | 4.89G/9.95G [00:17<00:13, 365MB/s] model-00001-of-00003.safetensors: 50%|████▉ | 4.96G/9.95G [00:17<00:11, 425MB/s] model-00001-of-00003.safetensors: 51%|█████ | 5.03G/9.95G [00:17<00:10, 485MB/s] model-00001-of-00003.safetensors: 51%|█████▏ | 5.12G/9.95G [00:17<00:08, 569MB/s] model-00001-of-00003.safetensors: 52%|█████▏ | 5.18G/9.95G [00:17<00:09, 504MB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 5.24G/9.95G [00:18<00:09, 478MB/s] model-00001-of-00003.safetensors: 53%|█████▎ | 5.32G/9.95G [00:18<00:08, 538MB/s] model-00001-of-00003.safetensors: 54%|█████▍ | 5.40G/9.95G [00:18<00:07, 570MB/s] model-00001-of-00003.safetensors: 55%|█████▍ | 5.46G/9.95G [00:18<00:08, 524MB/s] model-00001-of-00003.safetensors: 56%|█████▌ | 5.53G/9.95G [00:18<00:08, 498MB/s] model-00001-of-00003.safetensors: 56%|█████▋ | 5.60G/9.95G [00:18<00:08, 511MB/s] model-00001-of-00003.safetensors: 57%|█████▋ | 5.65G/9.95G [00:18<00:09, 446MB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 5.75G/9.95G [00:19<00:08, 481MB/s] model-00001-of-00003.safetensors: 59%|█████▊ | 5.83G/9.95G [00:19<00:07, 551MB/s] model-00001-of-00003.safetensors: 59%|█████▉ | 5.89G/9.95G [00:19<00:07, 568MB/s] model-00001-of-00003.safetensors: 60%|█████▉ | 5.97G/9.95G [00:19<00:07, 563MB/s] model-00001-of-00003.safetensors: 61%|██████ | 6.03G/9.95G [00:19<00:08, 484MB/s] model-00001-of-00003.safetensors: 62%|██████▏ | 6.14G/9.95G [00:19<00:06, 584MB/s] model-00001-of-00003.safetensors: 62%|██████▏ | 6.21G/9.95G [00:19<00:07, 511MB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 6.27G/9.95G [00:20<00:07, 490MB/s] model-00001-of-00003.safetensors: 64%|██████▎ | 6.32G/9.95G [00:20<00:07, 491MB/s] model-00001-of-00003.safetensors: 64%|██████▍ | 6.40G/9.95G [00:20<00:06, 511MB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 6.47G/9.95G [00:20<00:06, 558MB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 6.53G/9.95G [00:20<00:07, 484MB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 6.59G/9.95G [00:20<00:07, 478MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 6.64G/9.95G [00:20<00:07, 457MB/s] model-00001-of-00003.safetensors: 67%|██████▋ | 6.69G/9.95G [00:20<00:06, 473MB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 6.74G/9.95G [00:21<00:07, 457MB/s] model-00001-of-00003.safetensors: 68%|██████▊ | 6.79G/9.95G [00:21<00:06, 470MB/s] model-00001-of-00003.safetensors: 69%|██████▉ | 6.86G/9.95G [00:21<00:07, 426MB/s] model-00001-of-00003.safetensors: 70%|██████▉ | 6.93G/9.95G [00:21<00:06, 492MB/s] model-00001-of-00003.safetensors: 70%|███████ | 6.98G/9.95G [00:21<00:06, 473MB/s] model-00001-of-00003.safetensors: 71%|███████ | 7.05G/9.95G [00:21<00:05, 485MB/s] model-00001-of-00003.safetensors: 71%|███████▏ | 7.10G/9.95G [00:21<00:06, 414MB/s] model-00001-of-00003.safetensors: 72%|███████▏ | 7.16G/9.95G [00:21<00:06, 429MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 7.21G/9.95G [00:22<00:07, 378MB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 7.31G/9.95G [00:22<00:05, 501MB/s] model-00001-of-00003.safetensors: 74%|███████▍ | 7.37G/9.95G [00:22<00:05, 499MB/s] model-00001-of-00003.safetensors: 75%|███████▍ | 7.43G/9.95G [00:22<00:06, 377MB/s] model-00001-of-00003.safetensors: 75%|███████▌ | 7.49G/9.95G [00:22<00:06, 382MB/s] model-00001-of-00003.safetensors: 76%|███████▌ | 7.58G/9.95G [00:22<00:04, 496MB/s] model-00001-of-00003.safetensors: 77%|███████▋ | 7.64G/9.95G [00:22<00:04, 513MB/s] model-00001-of-00003.safetensors: 77%|███████▋ | 7.71G/9.95G [00:23<00:04, 498MB/s] model-00001-of-00003.safetensors: 78%|███████▊ | 7.77G/9.95G [00:23<00:04, 489MB/s] model-00001-of-00003.safetensors: 79%|███████▉ | 7.85G/9.95G [00:23<00:03, 527MB/s] model-00001-of-00003.safetensors: 80%|███████▉ | 7.92G/9.95G [00:23<00:04, 419MB/s] model-00001-of-00003.safetensors: 81%|████████ | 8.04G/9.95G [00:23<00:03, 556MB/s] model-00001-of-00003.safetensors: 81%|████████▏ | 8.11G/9.95G [00:23<00:03, 512MB/s] model-00001-of-00003.safetensors: 82%|████████▏ | 8.19G/9.95G [00:24<00:03, 518MB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 8.25G/9.95G [00:24<00:03, 518MB/s] model-00001-of-00003.safetensors: 84%|████████▎ | 8.32G/9.95G [00:24<00:03, 505MB/s] model-00001-of-00003.safetensors: 84%|████████▍ | 8.38G/9.95G [00:24<00:03, 421MB/s] model-00001-of-00003.safetensors: 85%|████████▍ | 8.43G/9.95G [00:24<00:03, 437MB/s] model-00001-of-00003.safetensors: 85%|████████▌ | 8.48G/9.95G [00:24<00:03, 427MB/s] model-00001-of-00003.safetensors: 86%|████████▌ | 8.54G/9.95G [00:24<00:03, 439MB/s] model-00001-of-00003.safetensors: 86%|████████▋ | 8.59G/9.95G [00:25<00:03, 389MB/s] model-00001-of-00003.safetensors: 87%|████████▋ | 8.64G/9.95G [00:25<00:03, 368MB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 8.73G/9.95G [00:25<00:02, 496MB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 8.80G/9.95G [00:25<00:02, 502MB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 8.86G/9.95G [00:25<00:02, 444MB/s] model-00001-of-00003.safetensors: 90%|████████▉ | 8.91G/9.95G [00:25<00:02, 398MB/s] model-00001-of-00003.safetensors: 90%|█████████ | 8.99G/9.95G [00:25<00:02, 433MB/s] model-00001-of-00003.safetensors: 91%|█████████ | 9.07G/9.95G [00:26<00:01, 506MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 9.13G/9.95G [00:26<00:01, 430MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 9.18G/9.95G [00:26<00:02, 377MB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 9.23G/9.95G [00:26<00:02, 345MB/s] model-00001-of-00003.safetensors: 93%|█████████▎| 9.27G/9.95G [00:26<00:02, 263MB/s] model-00001-of-00003.safetensors: 94%|█████████▎| 9.31G/9.95G [00:27<00:02, 264MB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 9.34G/9.95G [00:27<00:02, 266MB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 9.37G/9.95G [00:27<00:02, 254MB/s] model-00001-of-00003.safetensors: 95%|█████████▍| 9.40G/9.95G [00:27<00:03, 176MB/s] model-00001-of-00003.safetensors: 95%|█████████▌| 9.46G/9.95G [00:27<00:02, 234MB/s] model-00001-of-00003.safetensors: 96%|█████████▌| 9.51G/9.95G [00:27<00:01, 278MB/s] model-00001-of-00003.safetensors: 96%|█████████▌| 9.55G/9.95G [00:27<00:01, 281MB/s] model-00001-of-00003.safetensors: 96%|█████████▋| 9.59G/9.95G [00:28<00:01, 235MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 9.62G/9.95G [00:28<00:01, 211MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 9.66G/9.95G [00:28<00:01, 167MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 9.68G/9.95G [00:28<00:01, 165MB/s] model-00001-of-00003.safetensors: 97%|█████████▋| 9.70G/9.95G [00:29<00:01, 146MB/s] model-00001-of-00003.safetensors: 98%|█████████▊| 9.72G/9.95G [00:29<00:02, 96.3MB/s] model-00001-of-00003.safetensors: 98%|█████████▊| 9.74G/9.95G [00:30<00:02, 73.6MB/s] model-00001-of-00003.safetensors: 98%|█████████▊| 9.76G/9.95G [00:30<00:02, 86.4MB/s] model-00001-of-00003.safetensors: 98%|█████████▊| 9.79G/9.95G [00:30<00:01, 106MB/s] model-00001-of-00003.safetensors: 99%|█████████▊| 9.81G/9.95G [00:30<00:01, 112MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 9.83G/9.95G [00:30<00:01, 102MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 9.85G/9.95G [00:31<00:01, 81.9MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 9.86G/9.95G [00:31<00:01, 64.9MB/s] model-00001-of-00003.safetensors: 99%|█████████▉| 9.88G/9.95G [00:31<00:01, 55.4MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 9.91G/9.95G [00:31<00:00, 84.2MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 9.93G/9.95G [00:32<00:00, 46.3MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 9.94G/9.95G [00:33<00:00, 38.4MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 9.95G/9.95G [00:33<00:00, 298MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/9.90G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/9.90G [00:00<15:18, 10.8MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/9.90G [00:01<07:24, 22.2MB/s] model-00002-of-00003.safetensors: 1%| | 52.4M/9.90G [00:01<02:28, 66.3MB/s] model-00002-of-00003.safetensors: 1%| | 94.4M/9.90G [00:01<01:17, 126MB/s] model-00002-of-00003.safetensors: 2%|▏ | 178M/9.90G [00:01<00:38, 250MB/s] model-00002-of-00003.safetensors: 2%|▏ | 220M/9.90G [00:01<00:34, 283MB/s] model-00002-of-00003.safetensors: 3%|▎ | 283M/9.90G [00:01<00:26, 359MB/s] model-00002-of-00003.safetensors: 4%|▎ | 357M/9.90G [00:01<00:23, 400MB/s] model-00002-of-00003.safetensors: 4%|▍ | 409M/9.90G [00:01<00:24, 385MB/s] model-00002-of-00003.safetensors: 5%|▍ | 472M/9.90G [00:02<00:23, 406MB/s] model-00002-of-00003.safetensors: 6%|▌ | 545M/9.90G [00:02<00:20, 465MB/s] model-00002-of-00003.safetensors: 6%|▋ | 629M/9.90G [00:02<00:19, 480MB/s] model-00002-of-00003.safetensors: 7%|▋ | 703M/9.90G [00:02<00:18, 511MB/s] model-00002-of-00003.safetensors: 8%|▊ | 765M/9.90G [00:02<00:21, 422MB/s] model-00002-of-00003.safetensors: 8%|▊ | 818M/9.90G [00:02<00:23, 394MB/s] model-00002-of-00003.safetensors: 9%|▉ | 912M/9.90G [00:02<00:18, 495MB/s] model-00002-of-00003.safetensors: 10%|▉ | 975M/9.90G [00:03<00:18, 490MB/s] model-00002-of-00003.safetensors: 11%|█ | 1.07G/9.90G [00:03<00:15, 559MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 1.16G/9.90G [00:03<00:13, 649MB/s] model-00002-of-00003.safetensors: 13%|█▎ | 1.27G/9.90G [00:03<00:11, 728MB/s] model-00002-of-00003.safetensors: 14%|█▎ | 1.35G/9.90G [00:03<00:15, 567MB/s] model-00002-of-00003.safetensors: 15%|█▍ | 1.48G/9.90G [00:03<00:13, 647MB/s] model-00002-of-00003.safetensors: 16%|█▌ | 1.55G/9.90G [00:03<00:13, 612MB/s] model-00002-of-00003.safetensors: 17%|█▋ | 1.64G/9.90G [00:04<00:13, 634MB/s] model-00002-of-00003.safetensors: 17%|█▋ | 1.72G/9.90G [00:04<00:12, 659MB/s] model-00002-of-00003.safetensors: 19%|█▊ | 1.85G/9.90G [00:04<00:11, 706MB/s] model-00002-of-00003.safetensors: 20%|█▉ | 1.96G/9.90G [00:04<00:10, 790MB/s] model-00002-of-00003.safetensors: 21%|██ | 2.04G/9.90G [00:04<00:12, 646MB/s] model-00002-of-00003.safetensors: 21%|██▏ | 2.13G/9.90G [00:04<00:11, 681MB/s] model-00002-of-00003.safetensors: 22%|██▏ | 2.20G/9.90G [00:04<00:11, 652MB/s] model-00002-of-00003.safetensors: 23%|██▎ | 2.28G/9.90G [00:05<00:11, 648MB/s] model-00002-of-00003.safetensors: 24%|██▎ | 2.35G/9.90G [00:05<00:12, 620MB/s] model-00002-of-00003.safetensors: 24%|██▍ | 2.42G/9.90G [00:05<00:12, 623MB/s] model-00002-of-00003.safetensors: 25%|██▌ | 2.50G/9.90G [00:05<00:11, 634MB/s] model-00002-of-00003.safetensors: 26%|██▌ | 2.57G/9.90G [00:05<00:11, 626MB/s] model-00002-of-00003.safetensors: 27%|██▋ | 2.64G/9.90G [00:05<00:12, 575MB/s] model-00002-of-00003.safetensors: 28%|██▊ | 2.75G/9.90G [00:05<00:10, 690MB/s] model-00002-of-00003.safetensors: 28%|██▊ | 2.82G/9.90G [00:05<00:10, 698MB/s] model-00002-of-00003.safetensors: 29%|██▉ | 2.89G/9.90G [00:06<00:10, 638MB/s] model-00002-of-00003.safetensors: 30%|██▉ | 2.97G/9.90G [00:06<00:11, 619MB/s] model-00002-of-00003.safetensors: 31%|███ | 3.04G/9.90G [00:06<00:12, 565MB/s] model-00002-of-00003.safetensors: 31%|███▏ | 3.11G/9.90G [00:06<00:12, 565MB/s] model-00002-of-00003.safetensors: 32%|███▏ | 3.18G/9.90G [00:06<00:12, 540MB/s] model-00002-of-00003.safetensors: 33%|███▎ | 3.25G/9.90G [00:06<00:11, 558MB/s] model-00002-of-00003.safetensors: 34%|███▍ | 3.36G/9.90G [00:06<00:09, 656MB/s] model-00002-of-00003.safetensors: 35%|███▍ | 3.43G/9.90G [00:06<00:09, 675MB/s] model-00002-of-00003.safetensors: 36%|███▌ | 3.52G/9.90G [00:06<00:08, 733MB/s] model-00002-of-00003.safetensors: 37%|███▋ | 3.62G/9.90G [00:07<00:09, 669MB/s] model-00002-of-00003.safetensors: 37%|███▋ | 3.69G/9.90G [00:07<00:09, 658MB/s] model-00002-of-00003.safetensors: 38%|███▊ | 3.76G/9.90G [00:07<00:09, 663MB/s] model-00002-of-00003.safetensors: 39%|███▉ | 3.88G/9.90G [00:07<00:08, 719MB/s] model-00002-of-00003.safetensors: 40%|███▉ | 3.95G/9.90G [00:07<00:08, 708MB/s] model-00002-of-00003.safetensors: 41%|████ | 4.03G/9.90G [00:07<00:09, 640MB/s] model-00002-of-00003.safetensors: 41%|████▏ | 4.10G/9.90G [00:07<00:09, 636MB/s] model-00002-of-00003.safetensors: 42%|████▏ | 4.17G/9.90G [00:08<00:10, 565MB/s] model-00002-of-00003.safetensors: 43%|████▎ | 4.27G/9.90G [00:08<00:08, 655MB/s] model-00002-of-00003.safetensors: 44%|████▍ | 4.34G/9.90G [00:08<00:11, 481MB/s] model-00002-of-00003.safetensors: 44%|████▍ | 4.40G/9.90G [00:08<00:12, 454MB/s] model-00002-of-00003.safetensors: 45%|████▍ | 4.46G/9.90G [00:08<00:14, 379MB/s] model-00002-of-00003.safetensors: 46%|████▌ | 4.51G/9.90G [00:08<00:14, 382MB/s] model-00002-of-00003.safetensors: 46%|████▌ | 4.57G/9.90G [00:09<00:12, 417MB/s] model-00002-of-00003.safetensors: 47%|████▋ | 4.62G/9.90G [00:09<00:13, 394MB/s] model-00002-of-00003.safetensors: 47%|████▋ | 4.68G/9.90G [00:09<00:13, 379MB/s] model-00002-of-00003.safetensors: 48%|████▊ | 4.80G/9.90G [00:09<00:08, 571MB/s] model-00002-of-00003.safetensors: 50%|████▉ | 4.94G/9.90G [00:09<00:06, 757MB/s] model-00002-of-00003.safetensors: 51%|█████ | 5.04G/9.90G [00:09<00:06, 794MB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 5.22G/9.90G [00:09<00:04, 1.01GB/s] model-00002-of-00003.safetensors: 54%|█████▍ | 5.34G/9.90G [00:09<00:05, 913MB/s] model-00002-of-00003.safetensors: 56%|█████▌ | 5.52G/9.90G [00:10<00:04, 1.08GB/s] model-00002-of-00003.safetensors: 57%|█████▋ | 5.63G/9.90G [00:10<00:03, 1.09GB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 5.75G/9.90G [00:10<00:03, 1.09GB/s] model-00002-of-00003.safetensors: 59%|█████▉ | 5.86G/9.90G [00:10<00:04, 956MB/s] model-00002-of-00003.safetensors: 61%|██████ | 6.04G/9.90G [00:10<00:03, 1.10GB/s] model-00002-of-00003.safetensors: 62%|██████▏ | 6.16G/9.90G [00:10<00:03, 998MB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 6.26G/9.90G [00:10<00:03, 975MB/s] model-00002-of-00003.safetensors: 64%|██████▍ | 6.39G/9.90G [00:10<00:03, 1.04GB/s] model-00002-of-00003.safetensors: 66%|██████▌ | 6.52G/9.90G [00:11<00:03, 992MB/s] model-00002-of-00003.safetensors: 68%|██████▊ | 6.72G/9.90G [00:11<00:02, 1.23GB/s] model-00002-of-00003.safetensors: 69%|██████▉ | 6.86G/9.90G [00:11<00:02, 1.09GB/s] model-00002-of-00003.safetensors: 71%|███████ | 6.98G/9.90G [00:11<00:03, 929MB/s] model-00002-of-00003.safetensors: 72%|███████▏ | 7.15G/9.90G [00:11<00:02, 1.09GB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 7.28G/9.90G [00:11<00:02, 1.01GB/s] model-00002-of-00003.safetensors: 75%|███████▍ | 7.40G/9.90G [00:11<00:02, 995MB/s] model-00002-of-00003.safetensors: 76%|███████▌ | 7.54G/9.90G [00:12<00:02, 1.08GB/s] model-00002-of-00003.safetensors: 77%|███████▋ | 7.65G/9.90G [00:12<00:02, 1.00GB/s] model-00002-of-00003.safetensors: 79%|███████▉ | 7.83G/9.90G [00:12<00:01, 1.18GB/s] model-00002-of-00003.safetensors: 80%|████████ | 7.96G/9.90G [00:12<00:02, 947MB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 8.07G/9.90G [00:12<00:02, 751MB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 8.17G/9.90G [00:12<00:02, 637MB/s] model-00002-of-00003.safetensors: 83%|████████▎ | 8.25G/9.90G [00:13<00:03, 507MB/s] model-00002-of-00003.safetensors: 84%|████████▍ | 8.32G/9.90G [00:13<00:03, 509MB/s] model-00002-of-00003.safetensors: 85%|████████▍ | 8.38G/9.90G [00:13<00:03, 418MB/s] model-00002-of-00003.safetensors: 85%|████████▌ | 8.44G/9.90G [00:13<00:03, 427MB/s] model-00002-of-00003.safetensors: 86%|████████▌ | 8.51G/9.90G [00:13<00:02, 479MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 8.58G/9.90G [00:13<00:02, 507MB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 8.64G/9.90G [00:14<00:02, 485MB/s] model-00002-of-00003.safetensors: 88%|████████▊ | 8.73G/9.90G [00:14<00:02, 516MB/s] model-00002-of-00003.safetensors: 89%|████████▉ | 8.85G/9.90G [00:14<00:01, 647MB/s] model-00002-of-00003.safetensors: 90%|█████████ | 8.92G/9.90G [00:14<00:01, 618MB/s] model-00002-of-00003.safetensors: 91%|█████████ | 9.00G/9.90G [00:14<00:01, 542MB/s] model-00002-of-00003.safetensors: 91%|█████████▏| 9.06G/9.90G [00:14<00:01, 457MB/s] model-00002-of-00003.safetensors: 92%|█████████▏| 9.12G/9.90G [00:14<00:01, 475MB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 9.18G/9.90G [00:15<00:01, 391MB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 9.23G/9.90G [00:15<00:02, 321MB/s] model-00002-of-00003.safetensors: 94%|█████████▎| 9.27G/9.90G [00:15<00:02, 303MB/s] model-00002-of-00003.safetensors: 94%|█████████▍| 9.31G/9.90G [00:15<00:01, 299MB/s] model-00002-of-00003.safetensors: 94%|█████████▍| 9.35G/9.90G [00:15<00:02, 253MB/s] model-00002-of-00003.safetensors: 95%|█████████▍| 9.38G/9.90G [00:16<00:02, 225MB/s] model-00002-of-00003.safetensors: 95%|█████████▌| 9.42G/9.90G [00:16<00:02, 216MB/s] model-00002-of-00003.safetensors: 95%|█████████▌| 9.44G/9.90G [00:16<00:02, 221MB/s] model-00002-of-00003.safetensors: 96%|█████████▌| 9.48G/9.90G [00:16<00:01, 256MB/s] model-00002-of-00003.safetensors: 96%|█████████▋| 9.55G/9.90G [00:16<00:01, 327MB/s] model-00002-of-00003.safetensors: 97%|█████████▋| 9.61G/9.90G [00:16<00:00, 396MB/s] model-00002-of-00003.safetensors: 98%|█████████▊| 9.66G/9.90G [00:16<00:00, 400MB/s] model-00002-of-00003.safetensors: 98%|█████████▊| 9.75G/9.90G [00:17<00:00, 470MB/s] model-00002-of-00003.safetensors: 99%|█████████▉| 9.82G/9.90G [00:17<00:00, 514MB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 9.88G/9.90G [00:17<00:00, 304MB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 9.90G/9.90G [00:23<00:00, 417MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/6.18G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/6.18G [00:00<02:04, 49.4MB/s] model-00003-of-00003.safetensors: 1%|▏ | 83.9M/6.18G [00:00<00:20, 300MB/s] model-00003-of-00003.safetensors: 3%|▎ | 210M/6.18G [00:00<00:09, 628MB/s] model-00003-of-00003.safetensors: 5%|▍ | 304M/6.18G [00:00<00:08, 727MB/s] model-00003-of-00003.safetensors: 8%|▊ | 493M/6.18G [00:00<00:05, 1.09GB/s] model-00003-of-00003.safetensors: 12%|█▏ | 713M/6.18G [00:00<00:04, 1.23GB/s] model-00003-of-00003.safetensors: 15%|█▍ | 912M/6.18G [00:00<00:03, 1.43GB/s] model-00003-of-00003.safetensors: 17%|█▋ | 1.07G/6.18G [00:01<00:03, 1.31GB/s] model-00003-of-00003.safetensors: 21%|██ | 1.29G/6.18G [00:01<00:03, 1.44GB/s] model-00003-of-00003.safetensors: 24%|██▍ | 1.47G/6.18G [00:01<00:03, 1.48GB/s] model-00003-of-00003.safetensors: 27%|██▋ | 1.69G/6.18G [00:01<00:02, 1.65GB/s] model-00003-of-00003.safetensors: 30%|███ | 1.87G/6.18G [00:01<00:02, 1.64GB/s] model-00003-of-00003.safetensors: 35%|███▍ | 2.15G/6.18G [00:01<00:02, 1.85GB/s] model-00003-of-00003.safetensors: 38%|███▊ | 2.34G/6.18G [00:01<00:02, 1.80GB/s] model-00003-of-00003.safetensors: 41%|████ | 2.53G/6.18G [00:01<00:02, 1.82GB/s] model-00003-of-00003.safetensors: 44%|████▍ | 2.72G/6.18G [00:01<00:01, 1.80GB/s] model-00003-of-00003.safetensors: 47%|████▋ | 2.93G/6.18G [00:02<00:01, 1.86GB/s] model-00003-of-00003.safetensors: 51%|█████ | 3.14G/6.18G [00:02<00:01, 1.85GB/s] model-00003-of-00003.safetensors: 54%|█████▍ | 3.32G/6.18G [00:02<00:01, 1.68GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 3.55G/6.18G [00:02<00:01, 1.84GB/s] model-00003-of-00003.safetensors: 61%|██████ | 3.76G/6.18G [00:02<00:01, 1.91GB/s] model-00003-of-00003.safetensors: 64%|██████▍ | 3.96G/6.18G [00:02<00:01, 1.83GB/s] model-00003-of-00003.safetensors: 67%|██████▋ | 4.15G/6.18G [00:02<00:01, 1.78GB/s] model-00003-of-00003.safetensors: 71%|███████ | 4.39G/6.18G [00:02<00:00, 1.94GB/s] model-00003-of-00003.safetensors: 74%|███████▍ | 4.59G/6.18G [00:03<00:01, 1.52GB/s] model-00003-of-00003.safetensors: 80%|████████ | 4.95G/6.18G [00:03<00:00, 1.99GB/s] model-00003-of-00003.safetensors: 84%|████████▎ | 5.17G/6.18G [00:03<00:00, 1.77GB/s] model-00003-of-00003.safetensors: 87%|████████▋ | 5.37G/6.18G [00:03<00:00, 1.52GB/s] model-00003-of-00003.safetensors: 90%|████████▉ | 5.54G/6.18G [00:03<00:00, 1.19GB/s] model-00003-of-00003.safetensors: 92%|█████████▏| 5.69G/6.18G [00:04<00:00, 689MB/s] model-00003-of-00003.safetensors: 94%|█████████▍| 5.80G/6.18G [00:05<00:01, 336MB/s] model-00003-of-00003.safetensors: 95%|█████████▌| 5.89G/6.18G [00:06<00:01, 211MB/s] model-00003-of-00003.safetensors: 96%|█████████▋| 5.95G/6.18G [00:07<00:01, 135MB/s] model-00003-of-00003.safetensors: 97%|█████████▋| 5.99G/6.18G [00:07<00:01, 139MB/s] model-00003-of-00003.safetensors: 98%|█████████▊| 6.03G/6.18G [00:08<00:01, 108MB/s] model-00003-of-00003.safetensors: 98%|█████████▊| 6.06G/6.18G [00:09<00:01, 96.1MB/s] model-00003-of-00003.safetensors: 98%|█████████▊| 6.08G/6.18G [00:09<00:01, 93.3MB/s] model-00003-of-00003.safetensors: 99%|█████████▉| 6.13G/6.18G [00:09<00:00, 113MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 6.16G/6.18G [00:09<00:00, 127MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 6.18G/6.18G [00:10<00:00, 105MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 6.18G/6.18G [00:10<00:00, 597MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: model.safetensors.index.json: 0%| | 0.00/28.4k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 28.4k/28.4k [00:00<00:00, 13.4MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: special_tokens_map.json: 0%| | 0.00/549 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 549/549 [00:00<00:00, 4.55MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 17.3MB/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 17.3MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 39.3MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.12k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.12k/1.12k [00:00<00:00, 18.0MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Downloaded to shared memory in 70.142s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Reading /tmp/tmp4yyr8ng8/model.safetensors.index.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<09:21, 1.55s/it] Profiling: 3%|▎ | 10/363 [00:01<00:43, 8.17it/s] Profiling: 6%|▌ | 21/363 [00:01<00:18, 18.89it/s] Profiling: 9%|▊ | 31/363 [00:01<00:11, 29.14it/s] Profiling: 11%|█▏ | 41/363 [00:01<00:08, 39.48it/s] Profiling: 14%|█▍ | 52/363 [00:02<00:05, 52.15it/s] Profiling: 17%|█▋ | 63/363 [00:02<00:04, 63.12it/s] Profiling: 21%|██ | 75/363 [00:02<00:03, 74.72it/s] Profiling: 24%|██▍ | 87/363 [00:02<00:03, 81.06it/s] Profiling: 27%|██▋ | 97/363 [00:02<00:03, 83.01it/s] Profiling: 29%|██▉ | 107/363 [00:02<00:03, 84.83it/s] Profiling: 33%|███▎ | 118/363 [00:02<00:02, 90.90it/s] Profiling: 35%|███▌ | 128/363 [00:02<00:02, 92.92it/s] Profiling: 38%|███▊ | 138/363 [00:02<00:02, 93.98it/s] Profiling: 41%|████ | 148/363 [00:03<00:05, 40.24it/s] Profiling: 44%|████▎ | 158/363 [00:03<00:04, 47.67it/s] Profiling: 47%|████▋ | 169/363 [00:03<00:03, 57.52it/s] Profiling: 49%|████▉ | 179/363 [00:03<00:02, 64.92it/s] Profiling: 52%|█████▏ | 189/363 [00:03<00:02, 71.60it/s] Profiling: 55%|█████▍ | 199/363 [00:04<00:02, 77.46it/s] Profiling: 58%|█████▊ | 210/363 [00:04<00:01, 81.84it/s] Profiling: 61%|██████ | 220/363 [00:04<00:01, 82.42it/s] Profiling: 63%|██████▎ | 230/363 [00:04<00:01, 82.70it/s] Profiling: 66%|██████▋ | 241/363 [00:04<00:01, 88.17it/s] Profiling: 69%|██████▉ | 251/363 [00:04<00:01, 90.17it/s] Profiling: 72%|███████▏ | 261/363 [00:04<00:01, 91.56it/s] Profiling: 75%|███████▍ | 271/363 [00:04<00:00, 92.41it/s] Profiling: 77%|███████▋ | 281/363 [00:06<00:05, 14.52it/s] Profiling: 80%|████████ | 292/363 [00:07<00:03, 19.85it/s] Profiling: 83%|████████▎ | 302/363 [00:07<00:02, 25.57it/s] Profiling: 86%|████████▌ | 312/363 [00:07<00:01, 32.14it/s] Profiling: 89%|████████▊ | 322/363 [00:07<00:01, 40.21it/s] Profiling: 91%|█████████▏| 332/363 [00:07<00:00, 48.58it/s] Profiling: 94%|█████████▍| 342/363 [00:07<00:00, 56.91it/s] Profiling: 97%|█████████▋| 352/363 [00:07<00:00, 64.69it/s] Profiling: 100%|█████████▉| 362/363 [00:07<00:00, 71.63it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 44.95it/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: quantized model in 27.235s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 98.995s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/added_tokens.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer.model
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/config.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: loading reward model from ChaiML/reward_models_100_170000000_cp_498032
hflserdaniel-chai-s6-13-2318-v11-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.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: config.json: 0%| | 0.00/1.03k [00:00<?, ?B/s] config.json: 100%|██████████| 1.03k/1.03k [00:00<00:00, 11.9MB/s]
hflserdaniel-chai-s6-13-2318-v11-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.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.65MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 14.8MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 9.41MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 21.2MB/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: special_tokens_map.json: 0%| | 0.00/99.0 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 99.0/99.0 [00:00<00:00, 785kB/s]
hflserdaniel-chai-s6-13-2318-v11-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.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: pytorch_model.bin: 0%| | 0.00/510M [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 7.08M/510M [00:00<01:03, 7.86MB/s] pytorch_model.bin: 8%|▊ | 38.5M/510M [00:01<00:12, 37.5MB/s] pytorch_model.bin: 10%|▉ | 49.0M/510M [00:01<00:11, 41.9MB/s] pytorch_model.bin: 12%|█▏ | 59.5M/510M [00:01<00:08, 50.2MB/s] pytorch_model.bin: 18%|█▊ | 91.0M/510M [00:01<00:04, 86.9MB/s] pytorch_model.bin: 40%|████ | 206M/510M [00:01<00:01, 275MB/s] pytorch_model.bin: 51%|█████ | 259M/510M [00:02<00:01, 188MB/s] pytorch_model.bin: 59%|█████▉ | 301M/510M [00:02<00:01, 197MB/s] pytorch_model.bin: 65%|██████▌ | 332M/510M [00:02<00:01, 155MB/s] pytorch_model.bin: 71%|███████ | 364M/510M [00:02<00:00, 175MB/s] pytorch_model.bin: 77%|███████▋ | 395M/510M [00:03<00:00, 161MB/s] pytorch_model.bin: 92%|█████████▏| 468M/510M [00:03<00:00, 249MB/s] pytorch_model.bin: 100%|█████████▉| 510M/510M [00:03<00:00, 240MB/s] pytorch_model.bin: 100%|█████████▉| 510M/510M [00:03<00:00, 148MB/s]
Job hflserdaniel-chai-s6-13-2318-v11-mkmlizer completed after 291.68s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v11-mkmlizer
Pipeline stage MKMLizer completed in 292.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v11
Waiting for inference service hflserdaniel-chai-s6-13-2318-v11 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v11 ready after 50.31592273712158s
Pipeline stage ISVCDeployer completed in 57.27s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1202564239501953s
Received healthy response to inference request in 1.5245707035064697s
Received healthy response to inference request in 1.5552823543548584s
Received healthy response to inference request in 1.5543477535247803s
Received healthy response to inference request in 1.5652401447296143s
5 requests
0 failed requests
5th percentile: 1.5305261135101318
10th percentile: 1.5364815235137939
20th percentile: 1.5483923435211182
30th percentile: 1.554534673690796
40th percentile: 1.5549085140228271
50th percentile: 1.5552823543548584
60th percentile: 1.5592654705047608
70th percentile: 1.563248586654663
80th percentile: 1.6762434005737306
90th percentile: 1.898249912261963
95th percentile: 2.009253168106079
99th percentile: 2.0980557727813722
mean time: 1.6639394760131836
Pipeline stage StressChecker completed in 9.41s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
hflserdaniel-chai-s6-13_2318_v11 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v11 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics