submission_id: cgato-l3-thespice-8b-v0-1-3_v2
developer_uid: c.gato
best_of: 8
celo_rating: 1043.12
display_name: cgato-l3-thespice-8b-v0-1-3_v2
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} responds in one line.\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}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v0.1.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v0.
model_name: cgato-l3-thespice-8b-v0-1-3_v2
model_num_parameters: 8030261248.0
model_repo: cgato/L3-TheSpice-8b-v0.1.3
model_size: 8B
num_battles: 7604
num_wins: 2909
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} gives single line responses.\n{bot_name} gives short responses.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-18T22:18:00+00:00
us_pacific_date: 2024-04-18
win_ratio: 0.38256180957390845
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer to finish
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ Version: 0.6.11 ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 16.9MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: model-00001-of-00004.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s] model-00001-of-00004.safetensors: 0%| | 10.5M/4.98G [00:00<07:32, 11.0MB/s] model-00001-of-00004.safetensors: 0%| | 21.0M/4.98G [00:01<04:21, 18.9MB/s] model-00001-of-00004.safetensors: 1%| | 31.5M/4.98G [00:01<02:43, 30.2MB/s] model-00001-of-00004.safetensors: 1%| | 41.9M/4.98G [00:01<02:19, 35.3MB/s] model-00001-of-00004.safetensors: 1%|▏ | 62.9M/4.98G [00:01<01:19, 61.7MB/s] model-00001-of-00004.safetensors: 2%|▏ | 94.4M/4.98G [00:01<00:46, 105MB/s] model-00001-of-00004.safetensors: 3%|▎ | 168M/4.98G [00:01<00:22, 218MB/s] model-00001-of-00004.safetensors: 4%|▍ | 199M/4.98G [00:02<00:33, 143MB/s] model-00001-of-00004.safetensors: 5%|▍ | 231M/4.98G [00:02<00:28, 168MB/s] model-00001-of-00004.safetensors: 7%|▋ | 325M/4.98G [00:02<00:16, 281MB/s] model-00001-of-00004.safetensors: 7%|▋ | 367M/4.98G [00:02<00:19, 231MB/s] model-00001-of-00004.safetensors: 8%|▊ | 419M/4.98G [00:02<00:16, 270MB/s] model-00001-of-00004.safetensors: 10%|▉ | 493M/4.98G [00:03<00:12, 356MB/s] model-00001-of-00004.safetensors: 11%|█ | 545M/4.98G [00:03<00:12, 354MB/s] model-00001-of-00004.safetensors: 12%|█▏ | 598M/4.98G [00:03<00:13, 336MB/s] model-00001-of-00004.safetensors: 13%|█▎ | 650M/4.98G [00:03<00:11, 374MB/s] model-00001-of-00004.safetensors: 14%|█▍ | 703M/4.98G [00:03<00:11, 387MB/s] model-00001-of-00004.safetensors: 15%|█▌ | 755M/4.98G [00:03<00:10, 401MB/s] model-00001-of-00004.safetensors: 16%|█▋ | 818M/4.98G [00:03<00:09, 436MB/s] model-00001-of-00004.safetensors: 18%|█▊ | 902M/4.98G [00:03<00:07, 515MB/s] model-00001-of-00004.safetensors: 20%|█▉ | 986M/4.98G [00:04<00:06, 582MB/s] model-00001-of-00004.safetensors: 21%|██ | 1.05G/4.98G [00:04<00:07, 503MB/s] model-00001-of-00004.safetensors: 22%|██▏ | 1.11G/4.98G [00:04<00:08, 477MB/s] model-00001-of-00004.safetensors: 26%|██▌ | 1.28G/4.98G [00:04<00:04, 759MB/s] model-00001-of-00004.safetensors: 37%|███▋ | 1.85G/4.98G [00:04<00:03, 1.04GB/s] model-00001-of-00004.safetensors: 39%|███▉ | 1.95G/4.98G [00:05<00:05, 527MB/s] model-00001-of-00004.safetensors: 41%|████ | 2.02G/4.98G [00:05<00:05, 523MB/s] model-00001-of-00004.safetensors: 43%|████▎ | 2.16G/4.98G [00:05<00:04, 611MB/s] model-00001-of-00004.safetensors: 45%|████▌ | 2.25G/4.98G [00:06<00:04, 651MB/s] model-00001-of-00004.safetensors: 47%|████▋ | 2.36G/4.98G [00:06<00:03, 677MB/s] model-00001-of-00004.safetensors: 49%|████▉ | 2.45G/4.98G [00:06<00:03, 703MB/s] model-00001-of-00004.safetensors: 51%|█████ | 2.54G/4.98G [00:06<00:03, 684MB/s] model-00001-of-00004.safetensors: 53%|█████▎ | 2.62G/4.98G [00:06<00:03, 633MB/s] model-00001-of-00004.safetensors: 54%|█████▍ | 2.69G/4.98G [00:06<00:04, 486MB/s] model-00001-of-00004.safetensors: 55%|█████▌ | 2.76G/4.98G [00:07<00:04, 491MB/s] model-00001-of-00004.safetensors: 60%|██████ | 2.99G/4.98G [00:07<00:02, 847MB/s] model-00001-of-00004.safetensors: 64%|██████▎ | 3.17G/4.98G [00:07<00:01, 1.05GB/s] model-00001-of-00004.safetensors: 72%|███████▏ | 3.61G/4.98G [00:07<00:00, 1.85GB/s] model-00001-of-00004.safetensors: 77%|███████▋ | 3.83G/4.98G [00:08<00:01, 594MB/s] model-00001-of-00004.safetensors: 80%|████████ | 4.00G/4.98G [00:08<00:01, 629MB/s] model-00001-of-00004.safetensors: 83%|████████▎ | 4.13G/4.98G [00:08<00:01, 635MB/s] model-00001-of-00004.safetensors: 86%|████████▌ | 4.26G/4.98G [00:08<00:01, 713MB/s] model-00001-of-00004.safetensors: 90%|████████▉ | 4.46G/4.98G [00:08<00:00, 900MB/s] model-00001-of-00004.safetensors: 92%|█████████▏| 4.60G/4.98G [00:09<00:00, 936MB/s] model-00001-of-00004.safetensors: 95%|█████████▌| 4.74G/4.98G [00:09<00:00, 1.01GB/s] model-00001-of-00004.safetensors: 100%|█████████▉| 4.97G/4.98G [00:09<00:00, 1.25GB/s] model-00001-of-00004.safetensors: 100%|█████████▉| 4.98G/4.98G [00:09<00:00, 530MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: model-00002-of-00004.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00002-of-00004.safetensors: 0%| | 10.5M/5.00G [00:01<08:29, 9.79MB/s] model-00002-of-00004.safetensors: 0%| | 21.0M/5.00G [00:01<07:37, 10.9MB/s] model-00002-of-00004.safetensors: 1%| | 31.5M/5.00G [00:02<06:19, 13.1MB/s] model-00002-of-00004.safetensors: 1%|▏ | 62.9M/5.00G [00:02<02:46, 29.6MB/s] model-00002-of-00004.safetensors: 1%|▏ | 73.4M/5.00G [00:03<02:20, 35.2MB/s] model-00002-of-00004.safetensors: 2%|▏ | 83.9M/5.00G [00:03<02:23, 34.4MB/s] model-00002-of-00004.safetensors: 2%|▏ | 94.4M/5.00G [00:03<01:59, 41.0MB/s] model-00002-of-00004.safetensors: 3%|▎ | 136M/5.00G [00:03<00:54, 89.0MB/s] model-00002-of-00004.safetensors: 4%|▎ | 178M/5.00G [00:03<00:34, 139MB/s] model-00002-of-00004.safetensors: 5%|▍ | 231M/5.00G [00:03<00:23, 203MB/s] model-00002-of-00004.safetensors: 7%|▋ | 357M/5.00G [00:03<00:12, 373MB/s] model-00002-of-00004.safetensors: 9%|▊ | 430M/5.00G [00:04<00:11, 386MB/s] model-00002-of-00004.safetensors: 11%|█ | 535M/5.00G [00:04<00:08, 510MB/s] model-00002-of-00004.safetensors: 23%|██▎ | 1.14G/5.00G [00:04<00:02, 1.74GB/s] model-00002-of-00004.safetensors: 27%|██▋ | 1.37G/5.00G [00:05<00:06, 545MB/s] model-00002-of-00004.safetensors: 31%|███ | 1.54G/5.00G [00:05<00:05, 618MB/s] model-00002-of-00004.safetensors: 34%|███▍ | 1.70G/5.00G [00:05<00:05, 636MB/s] model-00002-of-00004.safetensors: 38%|███▊ | 1.89G/5.00G [00:06<00:04, 710MB/s] model-00002-of-00004.safetensors: 40%|████ | 2.01G/5.00G [00:06<00:04, 736MB/s] model-00002-of-00004.safetensors: 43%|████▎ | 2.13G/5.00G [00:06<00:03, 730MB/s] model-00002-of-00004.safetensors: 45%|████▍ | 2.23G/5.00G [00:06<00:04, 667MB/s] model-00002-of-00004.safetensors: 47%|████▋ | 2.37G/5.00G [00:06<00:03, 784MB/s] model-00002-of-00004.safetensors: 50%|█████ | 2.51G/5.00G [00:06<00:02, 867MB/s] model-00002-of-00004.safetensors: 52%|█████▏ | 2.61G/5.00G [00:06<00:02, 886MB/s] model-00002-of-00004.safetensors: 58%|█████▊ | 2.89G/5.00G [00:07<00:01, 1.33GB/s] model-00002-of-00004.safetensors: 61%|██████ | 3.05G/5.00G [00:07<00:01, 1.15GB/s] model-00002-of-00004.safetensors: 64%|██████▍ | 3.19G/5.00G [00:07<00:02, 889MB/s] model-00002-of-00004.safetensors: 66%|██████▌ | 3.30G/5.00G [00:07<00:01, 910MB/s] model-00002-of-00004.safetensors: 68%|██████▊ | 3.42G/5.00G [00:07<00:01, 926MB/s] model-00002-of-00004.safetensors: 70%|███████ | 3.52G/5.00G [00:07<00:02, 705MB/s] model-00002-of-00004.safetensors: 72%|███████▏ | 3.62G/5.00G [00:08<00:02, 676MB/s] model-00002-of-00004.safetensors: 74%|███████▍ | 3.70G/5.00G [00:08<00:01, 707MB/s] model-00002-of-00004.safetensors: 76%|███████▌ | 3.79G/5.00G [00:08<00:01, 640MB/s] model-00002-of-00004.safetensors: 79%|███████▉ | 3.94G/5.00G [00:08<00:01, 832MB/s] model-00002-of-00004.safetensors: 82%|████████▏ | 4.09G/5.00G [00:08<00:00, 975MB/s] model-00002-of-00004.safetensors: 84%|████████▍ | 4.20G/5.00G [00:08<00:00, 954MB/s] model-00002-of-00004.safetensors: 87%|████████▋ | 4.33G/5.00G [00:08<00:00, 1.02GB/s] model-00002-of-00004.safetensors: 89%|████████▉ | 4.45G/5.00G [00:08<00:00, 1.03GB/s] model-00002-of-00004.safetensors: 91%|█████████ | 4.56G/5.00G [00:09<00:00, 953MB/s] model-00002-of-00004.safetensors: 95%|█████████▌| 4.76G/5.00G [00:09<00:00, 1.21GB/s] model-00002-of-00004.safetensors: 98%|█████████▊| 4.89G/5.00G [00:09<00:00, 838MB/s] model-00002-of-00004.safetensors: 100%|█████████▉| 5.00G/5.00G [00:09<00:00, 520MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: model-00003-of-00004.safetensors: 0%| | 0.00/4.92G [00:00<?, ?B/s] model-00003-of-00004.safetensors: 0%| | 10.5M/4.92G [00:00<03:54, 20.9MB/s] model-00003-of-00004.safetensors: 0%| | 21.0M/4.92G [00:02<12:21, 6.60MB/s] model-00003-of-00004.safetensors: 1%| | 41.9M/4.92G [00:03<05:12, 15.6MB/s] model-00003-of-00004.safetensors: 1%| | 52.4M/4.92G [00:03<03:51, 21.0MB/s] model-00003-of-00004.safetensors: 1%|▏ | 62.9M/4.92G [00:03<03:04, 26.4MB/s] model-00003-of-00004.safetensors: 1%|▏ | 73.4M/4.92G [00:03<02:30, 32.1MB/s] model-00003-of-00004.safetensors: 2%|▏ | 83.9M/4.92G [00:03<02:06, 38.1MB/s] model-00003-of-00004.safetensors: 3%|▎ | 147M/4.92G [00:03<00:40, 118MB/s] model-00003-of-00004.safetensors: 6%|▌ | 273M/4.92G [00:03<00:15, 296MB/s] model-00003-of-00004.safetensors: 7%|▋ | 346M/4.92G [00:04<00:12, 352MB/s] model-00003-of-00004.safetensors: 8%|▊ | 409M/4.92G [00:04<00:11, 399MB/s] model-00003-of-00004.safetensors: 10%|▉ | 472M/4.92G [00:04<00:11, 388MB/s] model-00003-of-00004.safetensors: 22%|██▏ | 1.10G/4.92G [00:04<00:02, 1.64GB/s] model-00003-of-00004.safetensors: 27%|██▋ | 1.33G/4.92G [00:05<00:06, 524MB/s] model-00003-of-00004.safetensors: 31%|███ | 1.50G/4.92G [00:05<00:06, 520MB/s] model-00003-of-00004.safetensors: 33%|███▎ | 1.64G/4.92G [00:06<00:06, 516MB/s] model-00003-of-00004.safetensors: 36%|███▌ | 1.75G/4.92G [00:06<00:05, 554MB/s] model-00003-of-00004.safetensors: 38%|███▊ | 1.86G/4.92G [00:06<00:05, 578MB/s] model-00003-of-00004.safetensors: 40%|███▉ | 1.95G/4.92G [00:06<00:04, 594MB/s] model-00003-of-00004.safetensors: 42%|████▏ | 2.07G/4.92G [00:06<00:04, 677MB/s] model-00003-of-00004.safetensors: 44%|████▍ | 2.18G/4.92G [00:06<00:03, 755MB/s] model-00003-of-00004.safetensors: 49%|████▊ | 2.39G/4.92G [00:06<00:02, 1.03GB/s] model-00003-of-00004.safetensors: 55%|█████▌ | 2.73G/4.92G [00:07<00:01, 1.55GB/s] model-00003-of-00004.safetensors: 59%|█████▉ | 2.92G/4.92G [00:07<00:01, 1.06GB/s] model-00003-of-00004.safetensors: 62%|██████▏ | 3.07G/4.92G [00:07<00:02, 653MB/s] model-00003-of-00004.safetensors: 65%|██████▍ | 3.19G/4.92G [00:08<00:02, 641MB/s] model-00003-of-00004.safetensors: 67%|██████▋ | 3.29G/4.92G [00:08<00:02, 621MB/s] model-00003-of-00004.safetensors: 69%|██████▉ | 3.40G/4.92G [00:08<00:02, 673MB/s] model-00003-of-00004.safetensors: 71%|███████ | 3.49G/4.92G [00:08<00:01, 714MB/s] model-00003-of-00004.safetensors: 74%|███████▍ | 3.64G/4.92G [00:08<00:01, 845MB/s] model-00003-of-00004.safetensors: 76%|███████▌ | 3.74G/4.92G [00:08<00:01, 827MB/s] model-00003-of-00004.safetensors: 80%|███████▉ | 3.93G/4.92G [00:08<00:00, 1.02GB/s] model-00003-of-00004.safetensors: 83%|████████▎ | 4.10G/4.92G [00:08<00:00, 1.16GB/s] model-00003-of-00004.safetensors: 86%|████████▌ | 4.24G/4.92G [00:09<00:00, 1.00GB/s] model-00003-of-00004.safetensors: 89%|████████▉ | 4.37G/4.92G [00:09<00:00, 1.05GB/s] model-00003-of-00004.safetensors: 93%|█████████▎| 4.57G/4.92G [00:09<00:00, 1.23GB/s] model-00003-of-00004.safetensors: 96%|█████████▌| 4.71G/4.92G [00:09<00:00, 1.23GB/s] model-00003-of-00004.safetensors: 99%|█████████▊| 4.84G/4.92G [00:09<00:00, 1.01GB/s] model-00003-of-00004.safetensors: 100%|█████████▉| 4.92G/4.92G [00:09<00:00, 499MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: model-00004-of-00004.safetensors: 0%| | 0.00/1.17G [00:00<?, ?B/s] model-00004-of-00004.safetensors: 1%| | 10.5M/1.17G [00:03<06:43, 2.87MB/s] model-00004-of-00004.safetensors: 4%|▍ | 52.4M/1.17G [00:03<01:00, 18.5MB/s] model-00004-of-00004.safetensors: 13%|█▎ | 147M/1.17G [00:03<00:15, 64.3MB/s] model-00004-of-00004.safetensors: 19%|█▉ | 220M/1.17G [00:04<00:09, 104MB/s] model-00004-of-00004.safetensors: 23%|██▎ | 273M/1.17G [00:04<00:06, 136MB/s] model-00004-of-00004.safetensors: 31%|███▏ | 367M/1.17G [00:04<00:03, 219MB/s] model-00004-of-00004.safetensors: 43%|████▎ | 503M/1.17G [00:04<00:01, 363MB/s] model-00004-of-00004.safetensors: 91%|█████████ | 1.06G/1.17G [00:04<00:00, 1.16GB/s] model-00004-of-00004.safetensors: 100%|█████████▉| 1.17G/1.17G [00:04<00:00, 253MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: model.safetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 172MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: special_tokens_map.json: 0%| | 0.00/449 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 449/449 [00:00<00:00, 7.33MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: tokenizer.json: 0%| | 0.00/9.08M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 9.08M/9.08M [00:00<00:00, 17.0MB/s] tokenizer.json: 100%|██████████| 9.08M/9.08M [00:00<00:00, 16.9MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/51.0k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 51.0k/51.0k [00:00<00:00, 169MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Downloaded to shared memory in 36.094s
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Reading /tmp/tmpow7g0ri_/model.safetensors.index.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:05<25:09, 5.21s/it] Profiling: 5%|▍ | 14/291 [00:05<01:15, 3.64it/s] Profiling: 11%|█ | 32/291 [00:05<00:25, 10.05it/s] Profiling: 17%|█▋ | 50/291 [00:05<00:13, 18.33it/s] Profiling: 23%|██▎ | 68/291 [00:05<00:07, 28.75it/s] Profiling: 29%|██▊ | 83/291 [00:06<00:06, 31.31it/s] Profiling: 33%|███▎ | 95/291 [00:06<00:05, 39.04it/s] Profiling: 39%|███▉ | 113/291 [00:06<00:03, 54.04it/s] Profiling: 45%|████▌ | 131/291 [00:06<00:02, 69.91it/s] Profiling: 51%|█████ | 148/291 [00:06<00:01, 85.77it/s] Profiling: 57%|█████▋ | 165/291 [00:06<00:01, 100.53it/s] Profiling: 62%|██████▏ | 181/291 [00:06<00:01, 109.73it/s] Profiling: 67%|██████▋ | 196/291 [00:07<00:01, 67.73it/s] Profiling: 72%|███████▏ | 210/291 [00:07<00:01, 77.28it/s] Profiling: 78%|███████▊ | 226/291 [00:07<00:00, 91.98it/s] Profiling: 82%|████████▏ | 239/291 [00:07<00:00, 99.64it/s] Profiling: 88%|████████▊ | 257/291 [00:07<00:00, 115.27it/s] Profiling: 95%|█████████▍| 275/291 [00:07<00:00, 127.80it/s] Profiling: 100%|█████████▉| 290/291 [00:13<00:00, 8.49it/s] Profiling: 100%|██████████| 291/291 [00:13<00:00, 21.20it/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: quantized model in 28.156s
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-v0.1.3 in 65.948s
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2/config.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2/tokenizer_config.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2/special_tokens_map.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2/tokenizer.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-1-3-v2/mkml_model.tensors
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v0-1-3-v2-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.
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.1MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-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.
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.22MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 59.0MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.4MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.2MB/s]
cgato-l3-thespice-8b-v0-1-3-v2-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.
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:08, 173MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:23, 59.1MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:10, 135MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:04, 280MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:01<00:01, 709MB/s] pytorch_model.bin: 45%|████▌ | 650M/1.44G [00:01<00:00, 1.06GB/s] pytorch_model.bin: 71%|███████ | 1.03G/1.44G [00:01<00:00, 1.73GB/s] pytorch_model.bin: 87%|████████▋ | 1.26G/1.44G [00:01<00:00, 1.83GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.01GB/s]
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Saving duration: 0.393s
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.065s
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/config.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/vocab.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/merges.txt
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/tokenizer.json
cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-1-3-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer completed after 94.81s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v0-1-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 98.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v0-1-3-v2
Waiting for inference service cgato-l3-thespice-8b-v0-1-3-v2 to be ready
Inference service cgato-l3-thespice-8b-v0-1-3-v2 ready after 40.366904735565186s
Pipeline stage ISVCDeployer completed in 47.64s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0796113014221191s
Received healthy response to inference request in 0.6550867557525635s
Received healthy response to inference request in 0.6221568584442139s
Received healthy response to inference request in 0.6428933143615723s
Received healthy response to inference request in 1.1460003852844238s
5 requests
0 failed requests
5th percentile: 0.6263041496276855
10th percentile: 0.6304514408111572
20th percentile: 0.6387460231781006
30th percentile: 0.6453320026397705
40th percentile: 0.650209379196167
50th percentile: 0.6550867557525635
60th percentile: 0.8248965740203857
70th percentile: 0.9947063922882079
80th percentile: 1.0928891181945801
90th percentile: 1.1194447517395019
95th percentile: 1.1327225685119628
99th percentile: 1.1433448219299316
mean time: 0.8291497230529785
Pipeline stage StressChecker completed in 5.21s
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
cgato-l3-thespice-8b-v0-1-3_v2 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v0-1-3_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v0-1-3_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v0-1-3-v2 is running
Tearing down inference service cgato-l3-thespice-8b-v0-1-3-v2
Toredown service cgato-l3-thespice-8b-v0-1-3-v2
Pipeline stage ISVCDeleter completed in 3.94s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-1-3-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-1-3-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.73s
cgato-l3-thespice-8b-v0-1-3_v2 status is now torndown due to DeploymentManager action