submission_id: fizzarolli-lust-7b_v3
developer_uid: Fizzarolli
status: torndown
model_repo: Fizzarolli/lust-7b
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 0.85, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|description|>{bot_name}\n{memory}</s>\n', 'prompt_template': '<|message|>{user_name}\n{prompt}</s>\n<|message|>{bot_name}\n', 'bot_template': '<|message|>{bot_name}\n{message}</s>\n', 'user_template': '<|message|>{user_name}\n{message}</s>\n', 'response_template': '<|message|>{bot_name}\n', '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: 2024-04-19T01:14:17+00:00
model_name: fizzarolli-lust-7b_v1
model_eval_status: success
model_group: Fizzarolli/lust-7b
num_battles: 5376
num_wins: 2897
celo_rating: 1156.19
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241756672.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: fizzarolli-lust-7b_v1
ineligible_reason: propriety_total_count < 800
language_model: Fizzarolli/lust-7b
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-18
win_ratio: 0.5388764880952381
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name fizzarolli-lust-7b-v3-mkmlizer
Waiting for job on fizzarolli-lust-7b-v3-mkmlizer to finish
fizzarolli-lust-7b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
fizzarolli-lust-7b-v3-mkmlizer: ║ _____ __ __ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
fizzarolli-lust-7b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
fizzarolli-lust-7b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ /___/ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ Version: 0.6.11 ║
fizzarolli-lust-7b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
fizzarolli-lust-7b-v3-mkmlizer: ║ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
fizzarolli-lust-7b-v3-mkmlizer: ║ belonging to: ║
fizzarolli-lust-7b-v3-mkmlizer: ║ ║
fizzarolli-lust-7b-v3-mkmlizer: ║ Chai Research Corp. ║
fizzarolli-lust-7b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
fizzarolli-lust-7b-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
fizzarolli-lust-7b-v3-mkmlizer: ║ ║
fizzarolli-lust-7b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
fizzarolli-lust-7b-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.4MB/s]
fizzarolli-lust-7b-v3-mkmlizer: README.md: 0%| | 0.00/807 [00:00<?, ?B/s] README.md: 100%|██████████| 807/807 [00:00<00:00, 7.34MB/s]
fizzarolli-lust-7b-v3-mkmlizer: added_tokens.json: 0%| | 0.00/80.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 80.0/80.0 [00:00<00:00, 749kB/s]
fizzarolli-lust-7b-v3-mkmlizer: config.json: 0%| | 0.00/652 [00:00<?, ?B/s] config.json: 100%|██████████| 652/652 [00:00<00:00, 6.69MB/s]
fizzarolli-lust-7b-v3-mkmlizer: generation_config.json: 0%| | 0.00/111 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 111/111 [00:00<00:00, 758kB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00001-of-00006.safetensors: 0%| | 0.00/4.99G [00:00<?, ?B/s] model-00001-of-00006.safetensors: 0%| | 10.5M/4.99G [00:01<14:57, 5.54MB/s] model-00001-of-00006.safetensors: 1%| | 31.5M/4.99G [00:02<04:57, 16.7MB/s] model-00001-of-00006.safetensors: 1%| | 41.9M/4.99G [00:02<03:33, 23.2MB/s] model-00001-of-00006.safetensors: 3%|▎ | 147M/4.99G [00:02<00:40, 120MB/s] model-00001-of-00006.safetensors: 5%|▌ | 262M/4.99G [00:02<00:20, 235MB/s] model-00001-of-00006.safetensors: 7%|▋ | 325M/4.99G [00:03<00:28, 166MB/s] model-00001-of-00006.safetensors: 7%|▋ | 367M/4.99G [00:03<00:26, 174MB/s] model-00001-of-00006.safetensors: 9%|▉ | 472M/4.99G [00:03<00:16, 268MB/s] model-00001-of-00006.safetensors: 12%|█▏ | 577M/4.99G [00:03<00:13, 328MB/s] model-00001-of-00006.safetensors: 13%|█▎ | 629M/4.99G [00:04<00:15, 286MB/s] model-00001-of-00006.safetensors: 15%|█▌ | 755M/4.99G [00:04<00:10, 397MB/s] model-00001-of-00006.safetensors: 17%|█▋ | 839M/4.99G [00:04<00:08, 465MB/s] model-00001-of-00006.safetensors: 20%|█▉ | 975M/4.99G [00:04<00:06, 632MB/s] model-00001-of-00006.safetensors: 21%|██▏ | 1.07G/4.99G [00:04<00:05, 697MB/s] model-00001-of-00006.safetensors: 24%|██▎ | 1.17G/4.99G [00:04<00:05, 743MB/s] model-00001-of-00006.safetensors: 27%|██▋ | 1.33G/4.99G [00:04<00:03, 940MB/s] model-00001-of-00006.safetensors: 34%|███▍ | 1.69G/4.99G [00:04<00:02, 1.44GB/s] model-00001-of-00006.safetensors: 37%|███▋ | 1.85G/4.99G [00:05<00:04, 629MB/s] model-00001-of-00006.safetensors: 39%|███▉ | 1.96G/4.99G [00:05<00:04, 645MB/s] model-00001-of-00006.safetensors: 42%|████▏ | 2.11G/4.99G [00:05<00:04, 672MB/s] model-00001-of-00006.safetensors: 44%|████▍ | 2.20G/4.99G [00:06<00:05, 543MB/s] model-00001-of-00006.safetensors: 46%|████▌ | 2.29G/4.99G [00:06<00:04, 550MB/s] model-00001-of-00006.safetensors: 48%|████▊ | 2.38G/4.99G [00:06<00:04, 614MB/s] model-00001-of-00006.safetensors: 49%|████▉ | 2.46G/4.99G [00:06<00:03, 641MB/s] model-00001-of-00006.safetensors: 51%|█████ | 2.55G/4.99G [00:06<00:03, 667MB/s] model-00001-of-00006.safetensors: 53%|█████▎ | 2.63G/4.99G [00:06<00:04, 525MB/s] model-00001-of-00006.safetensors: 54%|█████▍ | 2.71G/4.99G [00:07<00:04, 529MB/s] model-00001-of-00006.safetensors: 57%|█████▋ | 2.82G/4.99G [00:07<00:03, 655MB/s] model-00001-of-00006.safetensors: 60%|█████▉ | 2.98G/4.99G [00:07<00:02, 863MB/s] model-00001-of-00006.safetensors: 62%|██████▏ | 3.08G/4.99G [00:07<00:02, 866MB/s] model-00001-of-00006.safetensors: 64%|██████▍ | 3.20G/4.99G [00:07<00:01, 905MB/s] model-00001-of-00006.safetensors: 66%|██████▌ | 3.30G/4.99G [00:07<00:01, 886MB/s] model-00001-of-00006.safetensors: 68%|██████▊ | 3.40G/4.99G [00:07<00:02, 792MB/s] model-00001-of-00006.safetensors: 70%|███████ | 3.49G/4.99G [00:07<00:01, 783MB/s] model-00001-of-00006.safetensors: 74%|███████▍ | 3.70G/4.99G [00:08<00:01, 1.11GB/s] model-00001-of-00006.safetensors: 80%|███████▉ | 3.97G/4.99G [00:08<00:00, 1.51GB/s] model-00001-of-00006.safetensors: 85%|████████▌ | 4.26G/4.99G [00:08<00:00, 1.79GB/s] model-00001-of-00006.safetensors: 89%|████████▉ | 4.45G/4.99G [00:08<00:00, 1.30GB/s] model-00001-of-00006.safetensors: 92%|█████████▏| 4.60G/4.99G [00:08<00:00, 1.11GB/s] model-00001-of-00006.safetensors: 96%|█████████▌| 4.79G/4.99G [00:08<00:00, 1.26GB/s] model-00001-of-00006.safetensors: 99%|█████████▉| 4.93G/4.99G [00:08<00:00, 1.29GB/s] model-00001-of-00006.safetensors: 100%|█████████▉| 4.99G/4.99G [00:09<00:00, 551MB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00002-of-00006.safetensors: 0%| | 0.00/4.90G [00:00<?, ?B/s] model-00002-of-00006.safetensors: 0%| | 10.5M/4.90G [00:02<16:11, 5.03MB/s] model-00002-of-00006.safetensors: 1%| | 31.5M/4.90G [00:02<04:58, 16.3MB/s] model-00002-of-00006.safetensors: 2%|▏ | 94.4M/4.90G [00:02<01:16, 62.6MB/s] model-00002-of-00006.safetensors: 5%|▍ | 241M/4.90G [00:02<00:23, 199MB/s] model-00002-of-00006.safetensors: 7%|▋ | 325M/4.90G [00:03<00:33, 137MB/s] model-00002-of-00006.safetensors: 9%|▉ | 440M/4.90G [00:03<00:20, 218MB/s] model-00002-of-00006.safetensors: 11%|█▏ | 556M/4.90G [00:03<00:14, 295MB/s] model-00002-of-00006.safetensors: 13%|█▎ | 650M/4.90G [00:03<00:11, 361MB/s] model-00002-of-00006.safetensors: 15%|█▌ | 755M/4.90G [00:04<00:09, 455MB/s] model-00002-of-00006.safetensors: 17%|█▋ | 839M/4.90G [00:04<00:07, 512MB/s] model-00002-of-00006.safetensors: 19%|█▉ | 933M/4.90G [00:04<00:06, 589MB/s] model-00002-of-00006.safetensors: 28%|██▊ | 1.37G/4.90G [00:04<00:02, 1.37GB/s] model-00002-of-00006.safetensors: 32%|███▏ | 1.55G/4.90G [00:04<00:03, 1.06GB/s] model-00002-of-00006.safetensors: 35%|███▍ | 1.70G/4.90G [00:05<00:05, 553MB/s] model-00002-of-00006.safetensors: 37%|███▋ | 1.81G/4.90G [00:05<00:05, 542MB/s] model-00002-of-00006.safetensors: 39%|███▉ | 1.91G/4.90G [00:05<00:05, 587MB/s] model-00002-of-00006.safetensors: 42%|████▏ | 2.03G/4.90G [00:05<00:04, 690MB/s] model-00002-of-00006.safetensors: 44%|████▎ | 2.14G/4.90G [00:05<00:04, 661MB/s] model-00002-of-00006.safetensors: 46%|████▌ | 2.23G/4.90G [00:06<00:04, 577MB/s] model-00002-of-00006.safetensors: 49%|████▉ | 2.39G/4.90G [00:06<00:03, 738MB/s] model-00002-of-00006.safetensors: 52%|█████▏ | 2.54G/4.90G [00:06<00:02, 872MB/s] model-00002-of-00006.safetensors: 54%|█████▍ | 2.65G/4.90G [00:06<00:02, 897MB/s] model-00002-of-00006.safetensors: 57%|█████▋ | 2.77G/4.90G [00:06<00:02, 914MB/s] model-00002-of-00006.safetensors: 59%|█████▊ | 2.87G/4.90G [00:06<00:02, 819MB/s] model-00002-of-00006.safetensors: 63%|██████▎ | 3.07G/4.90G [00:06<00:01, 1.07GB/s] model-00002-of-00006.safetensors: 70%|██████▉ | 3.41G/4.90G [00:06<00:00, 1.61GB/s] model-00002-of-00006.safetensors: 73%|███████▎ | 3.60G/4.90G [00:07<00:00, 1.40GB/s] model-00002-of-00006.safetensors: 77%|███████▋ | 3.76G/4.90G [00:07<00:01, 1.03GB/s] model-00002-of-00006.safetensors: 80%|███████▉ | 3.90G/4.90G [00:07<00:01, 642MB/s] model-00002-of-00006.safetensors: 82%|████████▏ | 4.01G/4.90G [00:07<00:01, 671MB/s] model-00002-of-00006.safetensors: 84%|████████▎ | 4.10G/4.90G [00:08<00:01, 696MB/s] model-00002-of-00006.safetensors: 86%|████████▌ | 4.20G/4.90G [00:08<00:00, 751MB/s] model-00002-of-00006.safetensors: 90%|████████▉ | 4.40G/4.90G [00:08<00:00, 988MB/s] model-00002-of-00006.safetensors: 93%|█████████▎| 4.53G/4.90G [00:08<00:00, 1.05GB/s] model-00002-of-00006.safetensors: 99%|█████████▉| 4.85G/4.90G [00:08<00:00, 1.55GB/s] model-00002-of-00006.safetensors: 100%|█████████▉| 4.90G/4.90G [00:08<00:00, 571MB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00003-of-00006.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00003-of-00006.safetensors: 0%| | 10.5M/5.00G [00:06<48:16, 1.72MB/s] model-00003-of-00006.safetensors: 0%| | 21.0M/5.00G [00:06<21:33, 3.85MB/s] model-00003-of-00006.safetensors: 2%|▏ | 94.4M/5.00G [00:06<03:11, 25.6MB/s] model-00003-of-00006.safetensors: 3%|▎ | 136M/5.00G [00:06<02:07, 38.1MB/s] model-00003-of-00006.safetensors: 3%|▎ | 168M/5.00G [00:07<01:39, 48.6MB/s] model-00003-of-00006.safetensors: 5%|▍ | 241M/5.00G [00:07<00:52, 91.2MB/s] model-00003-of-00006.safetensors: 6%|▌ | 294M/5.00G [00:07<00:40, 116MB/s] model-00003-of-00006.safetensors: 7%|▋ | 336M/5.00G [00:07<00:42, 109MB/s] model-00003-of-00006.safetensors: 8%|▊ | 377M/5.00G [00:08<00:33, 137MB/s] model-00003-of-00006.safetensors: 9%|▉ | 472M/5.00G [00:08<00:19, 231MB/s] model-00003-of-00006.safetensors: 10%|█ | 524M/5.00G [00:08<00:25, 176MB/s] model-00003-of-00006.safetensors: 12%|█▏ | 577M/5.00G [00:08<00:20, 213MB/s] model-00003-of-00006.safetensors: 14%|█▍ | 692M/5.00G [00:08<00:12, 335MB/s] model-00003-of-00006.safetensors: 15%|█▌ | 755M/5.00G [00:08<00:11, 383MB/s] model-00003-of-00006.safetensors: 20%|█▉ | 975M/5.00G [00:09<00:05, 708MB/s] model-00003-of-00006.safetensors: 23%|██▎ | 1.14G/5.00G [00:09<00:04, 908MB/s] model-00003-of-00006.safetensors: 26%|██▌ | 1.28G/5.00G [00:09<00:03, 1.01GB/s] model-00003-of-00006.safetensors: 30%|██▉ | 1.49G/5.00G [00:09<00:03, 1.16GB/s] model-00003-of-00006.safetensors: 33%|███▎ | 1.63G/5.00G [00:09<00:03, 1.02GB/s] model-00003-of-00006.safetensors: 35%|███▍ | 1.74G/5.00G [00:09<00:04, 687MB/s] model-00003-of-00006.safetensors: 37%|███▋ | 1.84G/5.00G [00:10<00:07, 445MB/s] model-00003-of-00006.safetensors: 39%|███▉ | 1.96G/5.00G [00:10<00:05, 546MB/s] model-00003-of-00006.safetensors: 43%|████▎ | 2.15G/5.00G [00:10<00:03, 740MB/s] model-00003-of-00006.safetensors: 45%|████▌ | 2.26G/5.00G [00:11<00:05, 511MB/s] model-00003-of-00006.safetensors: 47%|████▋ | 2.37G/5.00G [00:11<00:04, 557MB/s] model-00003-of-00006.safetensors: 49%|████▉ | 2.45G/5.00G [00:11<00:04, 596MB/s] model-00003-of-00006.safetensors: 53%|█████▎ | 2.64G/5.00G [00:11<00:03, 786MB/s] model-00003-of-00006.safetensors: 55%|█████▍ | 2.75G/5.00G [00:11<00:02, 756MB/s] model-00003-of-00006.safetensors: 58%|█████▊ | 2.92G/5.00G [00:11<00:02, 931MB/s] model-00003-of-00006.safetensors: 61%|██████ | 3.03G/5.00G [00:11<00:02, 979MB/s] model-00003-of-00006.safetensors: 63%|██████▎ | 3.17G/5.00G [00:11<00:01, 1.07GB/s] model-00003-of-00006.safetensors: 66%|██████▋ | 3.32G/5.00G [00:11<00:01, 1.19GB/s] model-00003-of-00006.safetensors: 71%|███████▏ | 3.57G/5.00G [00:12<00:00, 1.50GB/s] model-00003-of-00006.safetensors: 75%|███████▍ | 3.73G/5.00G [00:12<00:01, 890MB/s] model-00003-of-00006.safetensors: 77%|███████▋ | 3.86G/5.00G [00:12<00:01, 829MB/s] model-00003-of-00006.safetensors: 79%|███████▉ | 3.97G/5.00G [00:12<00:01, 653MB/s] model-00003-of-00006.safetensors: 81%|████████▏ | 4.07G/5.00G [00:13<00:01, 628MB/s] model-00003-of-00006.safetensors: 84%|████████▎ | 4.18G/5.00G [00:13<00:01, 710MB/s] model-00003-of-00006.safetensors: 86%|████████▌ | 4.30G/5.00G [00:13<00:00, 789MB/s] model-00003-of-00006.safetensors: 88%|████████▊ | 4.41G/5.00G [00:13<00:00, 842MB/s] model-00003-of-00006.safetensors: 92%|█████████▏| 4.61G/5.00G [00:13<00:00, 1.10GB/s] model-00003-of-00006.safetensors: 95%|█████████▌| 4.75G/5.00G [00:13<00:00, 1.16GB/s] model-00003-of-00006.safetensors: 100%|█████████▉| 5.00G/5.00G [00:13<00:00, 364MB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00004-of-00006.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00004-of-00006.safetensors: 0%| | 10.5M/5.00G [00:01<10:23, 8.00MB/s] model-00004-of-00006.safetensors: 0%| | 21.0M/5.00G [00:02<07:43, 10.7MB/s] model-00004-of-00006.safetensors: 1%| | 52.4M/5.00G [00:02<02:22, 34.8MB/s] model-00004-of-00006.safetensors: 1%|▏ | 73.4M/5.00G [00:02<01:46, 46.1MB/s] model-00004-of-00006.safetensors: 3%|▎ | 147M/5.00G [00:02<00:42, 115MB/s] model-00004-of-00006.safetensors: 4%|▎ | 178M/5.00G [00:02<00:36, 131MB/s] model-00004-of-00006.safetensors: 4%|▍ | 210M/5.00G [00:02<00:38, 126MB/s] model-00004-of-00006.safetensors: 5%|▌ | 262M/5.00G [00:03<00:25, 182MB/s] model-00004-of-00006.safetensors: 6%|▌ | 294M/5.00G [00:03<00:24, 193MB/s] model-00004-of-00006.safetensors: 7%|▋ | 336M/5.00G [00:03<00:24, 193MB/s] model-00004-of-00006.safetensors: 7%|▋ | 367M/5.00G [00:03<00:30, 152MB/s] model-00004-of-00006.safetensors: 8%|▊ | 419M/5.00G [00:03<00:23, 199MB/s] model-00004-of-00006.safetensors: 9%|▉ | 451M/5.00G [00:04<00:21, 209MB/s] model-00004-of-00006.safetensors: 10%|▉ | 482M/5.00G [00:04<00:19, 226MB/s] model-00004-of-00006.safetensors: 11%|█ | 556M/5.00G [00:04<00:13, 329MB/s] model-00004-of-00006.safetensors: 12%|█▏ | 608M/5.00G [00:04<00:12, 340MB/s] model-00004-of-00006.safetensors: 14%|█▍ | 692M/5.00G [00:04<00:09, 431MB/s] model-00004-of-00006.safetensors: 16%|█▌ | 807M/5.00G [00:04<00:07, 576MB/s] model-00004-of-00006.safetensors: 19%|█▊ | 933M/5.00G [00:04<00:05, 741MB/s] model-00004-of-00006.safetensors: 21%|██ | 1.03G/5.00G [00:04<00:05, 777MB/s] model-00004-of-00006.safetensors: 23%|██▎ | 1.16G/5.00G [00:04<00:04, 907MB/s] model-00004-of-00006.safetensors: 32%|███▏ | 1.60G/5.00G [00:05<00:02, 1.60GB/s] model-00004-of-00006.safetensors: 35%|███▌ | 1.76G/5.00G [00:05<00:05, 589MB/s] model-00004-of-00006.safetensors: 38%|███▊ | 1.88G/5.00G [00:06<00:05, 620MB/s] model-00004-of-00006.safetensors: 40%|███▉ | 1.98G/5.00G [00:06<00:05, 514MB/s] model-00004-of-00006.safetensors: 41%|████▏ | 2.07G/5.00G [00:06<00:06, 453MB/s] model-00004-of-00006.safetensors: 43%|████▎ | 2.14G/5.00G [00:06<00:06, 449MB/s] model-00004-of-00006.safetensors: 44%|████▍ | 2.21G/5.00G [00:06<00:05, 481MB/s] model-00004-of-00006.safetensors: 46%|████▌ | 2.29G/5.00G [00:07<00:05, 502MB/s] model-00004-of-00006.safetensors: 47%|████▋ | 2.35G/5.00G [00:07<00:05, 510MB/s] model-00004-of-00006.safetensors: 48%|████▊ | 2.41G/5.00G [00:07<00:05, 453MB/s] model-00004-of-00006.safetensors: 49%|████▉ | 2.47G/5.00G [00:07<00:05, 469MB/s] model-00004-of-00006.safetensors: 51%|█████ | 2.53G/5.00G [00:07<00:05, 455MB/s] model-00004-of-00006.safetensors: 53%|█████▎ | 2.63G/5.00G [00:07<00:04, 588MB/s] model-00004-of-00006.safetensors: 54%|█████▍ | 2.72G/5.00G [00:07<00:03, 645MB/s] model-00004-of-00006.safetensors: 56%|█████▋ | 2.82G/5.00G [00:07<00:02, 739MB/s] model-00004-of-00006.safetensors: 58%|█████▊ | 2.90G/5.00G [00:08<00:02, 701MB/s] model-00004-of-00006.safetensors: 60%|█████▉ | 2.99G/5.00G [00:08<00:02, 689MB/s] model-00004-of-00006.safetensors: 63%|██████▎ | 3.15G/5.00G [00:08<00:02, 841MB/s] model-00004-of-00006.safetensors: 65%|██████▍ | 3.24G/5.00G [00:08<00:02, 770MB/s] model-00004-of-00006.safetensors: 70%|██████▉ | 3.49G/5.00G [00:08<00:01, 1.19GB/s] model-00004-of-00006.safetensors: 75%|███████▌ | 3.76G/5.00G [00:08<00:00, 1.57GB/s] model-00004-of-00006.safetensors: 79%|███████▉ | 3.94G/5.00G [00:08<00:00, 1.36GB/s] model-00004-of-00006.safetensors: 82%|████████▏ | 4.10G/5.00G [00:09<00:01, 823MB/s] model-00004-of-00006.safetensors: 85%|████████▍ | 4.23G/5.00G [00:09<00:00, 797MB/s] model-00004-of-00006.safetensors: 87%|████████▋ | 4.35G/5.00G [00:09<00:00, 869MB/s] model-00004-of-00006.safetensors: 90%|████████▉ | 4.50G/5.00G [00:09<00:00, 958MB/s] model-00004-of-00006.safetensors: 95%|█████████▌| 4.75G/5.00G [00:09<00:00, 1.25GB/s] model-00004-of-00006.safetensors: 98%|█████████▊| 4.90G/5.00G [00:09<00:00, 1.07GB/s] model-00004-of-00006.safetensors: 100%|█████████▉| 5.00G/5.00G [00:10<00:00, 496MB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00005-of-00006.safetensors: 0%| | 0.00/4.83G [00:00<?, ?B/s] model-00005-of-00006.safetensors: 0%| | 10.5M/4.83G [00:01<08:30, 9.44MB/s] model-00005-of-00006.safetensors: 0%| | 21.0M/4.83G [00:01<07:25, 10.8MB/s] model-00005-of-00006.safetensors: 1%|▏ | 62.9M/4.83G [00:02<01:50, 43.3MB/s] model-00005-of-00006.safetensors: 3%|▎ | 126M/4.83G [00:02<00:46, 101MB/s] model-00005-of-00006.safetensors: 4%|▍ | 189M/4.83G [00:02<00:35, 131MB/s] model-00005-of-00006.safetensors: 5%|▍ | 220M/4.83G [00:02<00:38, 120MB/s] model-00005-of-00006.safetensors: 5%|▌ | 252M/4.83G [00:02<00:32, 140MB/s] model-00005-of-00006.safetensors: 7%|▋ | 357M/4.83G [00:03<00:19, 229MB/s] model-00005-of-00006.safetensors: 8%|▊ | 388M/4.83G [00:03<00:22, 195MB/s] model-00005-of-00006.safetensors: 9%|▊ | 419M/4.83G [00:03<00:21, 205MB/s] model-00005-of-00006.safetensors: 10%|█ | 503M/4.83G [00:03<00:14, 305MB/s] model-00005-of-00006.safetensors: 12%|█▏ | 587M/4.83G [00:03<00:10, 399MB/s] model-00005-of-00006.safetensors: 15%|█▌ | 744M/4.83G [00:03<00:06, 624MB/s] model-00005-of-00006.safetensors: 18%|█▊ | 881M/4.83G [00:04<00:05, 789MB/s] model-00005-of-00006.safetensors: 20%|██ | 986M/4.83G [00:04<00:04, 798MB/s] model-00005-of-00006.safetensors: 28%|██▊ | 1.34G/4.83G [00:04<00:02, 1.47GB/s] model-00005-of-00006.safetensors: 31%|███▏ | 1.52G/4.83G [00:04<00:02, 1.18GB/s] model-00005-of-00006.safetensors: 35%|███▍ | 1.67G/4.83G [00:05<00:06, 517MB/s] model-00005-of-00006.safetensors: 37%|███▋ | 1.80G/4.83G [00:05<00:04, 611MB/s] model-00005-of-00006.safetensors: 40%|███▉ | 1.92G/4.83G [00:05<00:04, 651MB/s] model-00005-of-00006.safetensors: 42%|████▏ | 2.02G/4.83G [00:05<00:04, 619MB/s] model-00005-of-00006.safetensors: 44%|████▍ | 2.12G/4.83G [00:05<00:04, 555MB/s] model-00005-of-00006.safetensors: 48%|████▊ | 2.30G/4.83G [00:05<00:03, 749MB/s] model-00005-of-00006.safetensors: 50%|████▉ | 2.40G/4.83G [00:06<00:03, 771MB/s] model-00005-of-00006.safetensors: 52%|█████▏ | 2.52G/4.83G [00:06<00:02, 820MB/s] model-00005-of-00006.safetensors: 54%|█████▍ | 2.62G/4.83G [00:06<00:02, 799MB/s] model-00005-of-00006.safetensors: 57%|█████▋ | 2.74G/4.83G [00:06<00:02, 870MB/s] model-00005-of-00006.safetensors: 59%|█████▉ | 2.84G/4.83G [00:06<00:02, 879MB/s] model-00005-of-00006.safetensors: 61%|██████▏ | 2.97G/4.83G [00:06<00:01, 971MB/s] model-00005-of-00006.safetensors: 68%|██████▊ | 3.27G/4.83G [00:06<00:01, 1.49GB/s] model-00005-of-00006.safetensors: 71%|███████ | 3.44G/4.83G [00:06<00:01, 1.32GB/s] model-00005-of-00006.safetensors: 74%|███████▍ | 3.59G/4.83G [00:07<00:01, 1.04GB/s] model-00005-of-00006.safetensors: 77%|███████▋ | 3.71G/4.83G [00:07<00:01, 920MB/s] model-00005-of-00006.safetensors: 79%|███████▉ | 3.82G/4.83G [00:07<00:01, 896MB/s] model-00005-of-00006.safetensors: 81%|████████ | 3.92G/4.83G [00:07<00:00, 917MB/s] model-00005-of-00006.safetensors: 84%|████████▍ | 4.06G/4.83G [00:07<00:00, 1.01GB/s] model-00005-of-00006.safetensors: 87%|████████▋ | 4.18G/4.83G [00:07<00:00, 1.05GB/s] model-00005-of-00006.safetensors: 89%|████████▉ | 4.30G/4.83G [00:07<00:00, 1.02GB/s] model-00005-of-00006.safetensors: 91%|█████████▏| 4.41G/4.83G [00:08<00:00, 968MB/s] model-00005-of-00006.safetensors: 99%|█████████▊| 4.77G/4.83G [00:08<00:00, 1.61GB/s] model-00005-of-00006.safetensors: 100%|█████████▉| 4.83G/4.83G [00:08<00:00, 571MB/s]
fizzarolli-lust-7b-v3-mkmlizer: model-00006-of-00006.safetensors: 0%| | 0.00/4.25G [00:00<?, ?B/s] model-00006-of-00006.safetensors: 0%| | 10.5M/4.25G [00:01<10:10, 6.94MB/s] model-00006-of-00006.safetensors: 0%| | 21.0M/4.25G [00:01<05:38, 12.5MB/s] model-00006-of-00006.safetensors: 1%| | 31.5M/4.25G [00:02<03:36, 19.5MB/s] model-00006-of-00006.safetensors: 1%| | 41.9M/4.25G [00:02<02:32, 27.7MB/s] model-00006-of-00006.safetensors: 1%|▏ | 62.9M/4.25G [00:02<01:34, 44.5MB/s] model-00006-of-00006.safetensors: 3%|▎ | 115M/4.25G [00:02<00:38, 109MB/s] model-00006-of-00006.safetensors: 6%|▌ | 252M/4.25G [00:02<00:12, 311MB/s] model-00006-of-00006.safetensors: 7%|▋ | 315M/4.25G [00:02<00:13, 300MB/s] model-00006-of-00006.safetensors: 9%|▊ | 367M/4.25G [00:03<00:14, 259MB/s] model-00006-of-00006.safetensors: 10%|▉ | 409M/4.25G [00:03<00:14, 270MB/s] model-00006-of-00006.safetensors: 11%|█ | 451M/4.25G [00:03<00:14, 269MB/s] model-00006-of-00006.safetensors: 13%|█▎ | 535M/4.25G [00:03<00:10, 368MB/s] model-00006-of-00006.safetensors: 15%|█▍ | 629M/4.25G [00:03<00:07, 478MB/s] model-00006-of-00006.safetensors: 17%|█▋ | 724M/4.25G [00:03<00:06, 582MB/s] model-00006-of-00006.safetensors: 20%|█▉ | 839M/4.25G [00:03<00:05, 651MB/s] model-00006-of-00006.safetensors: 24%|██▎ | 1.01G/4.25G [00:04<00:04, 810MB/s] model-00006-of-00006.safetensors: 26%|██▌ | 1.10G/4.25G [00:04<00:03, 841MB/s] model-00006-of-00006.safetensors: 36%|███▌ | 1.52G/4.25G [00:04<00:01, 1.56GB/s] model-00006-of-00006.safetensors: 40%|███▉ | 1.69G/4.25G [00:05<00:04, 578MB/s] model-00006-of-00006.safetensors: 43%|████▎ | 1.81G/4.25G [00:05<00:05, 451MB/s] model-00006-of-00006.safetensors: 45%|████▍ | 1.91G/4.25G [00:05<00:04, 500MB/s] model-00006-of-00006.safetensors: 48%|████▊ | 2.06G/4.25G [00:05<00:03, 619MB/s] model-00006-of-00006.safetensors: 51%|█████ | 2.17G/4.25G [00:05<00:02, 697MB/s] model-00006-of-00006.safetensors: 54%|█████▍ | 2.29G/4.25G [00:06<00:03, 620MB/s] model-00006-of-00006.safetensors: 56%|█████▌ | 2.38G/4.25G [00:06<00:02, 665MB/s] model-00006-of-00006.safetensors: 58%|█████▊ | 2.47G/4.25G [00:06<00:02, 709MB/s] model-00006-of-00006.safetensors: 61%|██████ | 2.60G/4.25G [00:06<00:02, 824MB/s] model-00006-of-00006.safetensors: 65%|██████▍ | 2.75G/4.25G [00:06<00:01, 968MB/s] model-00006-of-00006.safetensors: 68%|██████▊ | 2.88G/4.25G [00:06<00:01, 1.05GB/s] model-00006-of-00006.safetensors: 71%|███████ | 3.01G/4.25G [00:06<00:01, 1.02GB/s] model-00006-of-00006.safetensors: 78%|███████▊ | 3.33G/4.25G [00:06<00:00, 1.59GB/s] model-00006-of-00006.safetensors: 83%|████████▎ | 3.51G/4.25G [00:07<00:00, 1.08GB/s] model-00006-of-00006.safetensors: 86%|████████▌ | 3.66G/4.25G [00:07<00:00, 745MB/s] model-00006-of-00006.safetensors: 89%|████████▉ | 3.78G/4.25G [00:07<00:00, 774MB/s] model-00006-of-00006.safetensors: 91%|█████████▏| 3.88G/4.25G [00:07<00:00, 802MB/s] model-00006-of-00006.safetensors: 98%|█████████▊| 4.17G/4.25G [00:07<00:00, 1.19GB/s] model-00006-of-00006.safetensors: 100%|█████████▉| 4.25G/4.25G [00:08<00:00, 529MB/s]
fizzarolli-lust-7b-v3-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, 6.68MB/s]
fizzarolli-lust-7b-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 3.83MB/s]
fizzarolli-lust-7b-v3-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.10MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.07MB/s]
fizzarolli-lust-7b-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.40MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.40MB/s]
fizzarolli-lust-7b-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/2.00k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 2.00k/2.00k [00:00<00:00, 14.8MB/s]
fizzarolli-lust-7b-v3-mkmlizer: Downloaded to shared memory in 66.186s
fizzarolli-lust-7b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
fizzarolli-lust-7b-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
fizzarolli-lust-7b-v3-mkmlizer: Reading /tmp/tmpsmh09_47/model.safetensors.index.json
fizzarolli-lust-7b-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:05, 1.26s/it] Profiling: 3%|▎ | 8/291 [00:01<00:36, 7.81it/s] Profiling: 5%|▌ | 15/291 [00:01<00:17, 15.66it/s] Profiling: 8%|▊ | 23/291 [00:01<00:10, 25.21it/s] Profiling: 11%|█ | 32/291 [00:01<00:07, 36.12it/s] Profiling: 14%|█▍ | 41/291 [00:01<00:05, 45.98it/s] Profiling: 17%|█▋ | 50/291 [00:02<00:06, 37.81it/s] Profiling: 20%|█▉ | 58/291 [00:02<00:05, 44.47it/s] Profiling: 22%|██▏ | 65/291 [00:02<00:04, 47.29it/s] Profiling: 25%|██▌ | 74/291 [00:02<00:03, 55.36it/s] Profiling: 29%|██▊ | 83/291 [00:02<00:03, 62.28it/s] Profiling: 32%|███▏ | 92/291 [00:02<00:02, 67.86it/s] Profiling: 34%|███▍ | 100/291 [00:02<00:03, 48.69it/s] Profiling: 37%|███▋ | 108/291 [00:03<00:03, 54.38it/s] Profiling: 40%|████ | 117/291 [00:03<00:02, 61.56it/s] Profiling: 43%|████▎ | 126/291 [00:03<00:02, 67.96it/s] Profiling: 46%|████▋ | 135/291 [00:03<00:02, 72.96it/s] Profiling: 49%|████▉ | 144/291 [00:03<00:01, 75.57it/s] Profiling: 53%|█████▎ | 153/291 [00:03<00:02, 48.43it/s] Profiling: 56%|█████▌ | 162/291 [00:03<00:02, 55.82it/s] Profiling: 59%|█████▉ | 171/291 [00:04<00:01, 62.61it/s] Profiling: 62%|██████▏ | 180/291 [00:04<00:01, 68.51it/s] Profiling: 65%|██████▍ | 189/291 [00:04<00:01, 72.92it/s] Profiling: 68%|██████▊ | 198/291 [00:04<00:01, 75.71it/s] Profiling: 71%|███████ | 207/291 [00:04<00:01, 50.28it/s] Profiling: 74%|███████▍ | 215/291 [00:04<00:01, 55.81it/s] Profiling: 77%|███████▋ | 224/291 [00:04<00:01, 62.53it/s] Profiling: 80%|████████ | 233/291 [00:04<00:00, 68.25it/s] Profiling: 83%|████████▎ | 242/291 [00:05<00:00, 72.62it/s] Profiling: 86%|████████▋ | 251/291 [00:06<00:02, 16.78it/s] Profiling: 89%|████████▊ | 258/291 [00:06<00:01, 20.46it/s] Profiling: 92%|█████████▏| 267/291 [00:06<00:00, 26.72it/s] Profiling: 95%|█████████▍| 276/291 [00:06<00:00, 33.69it/s] Profiling: 98%|█████████▊| 285/291 [00:07<00:00, 41.16it/s] Profiling: 100%|██████████| 291/291 [00:07<00:00, 40.32it/s]
fizzarolli-lust-7b-v3-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
fizzarolli-lust-7b-v3-mkmlizer: quantized model in 19.074s
fizzarolli-lust-7b-v3-mkmlizer: Processed model Fizzarolli/lust-7b in 87.072s
fizzarolli-lust-7b-v3-mkmlizer: creating bucket guanaco-mkml-models
fizzarolli-lust-7b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
fizzarolli-lust-7b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/fizzarolli-lust-7b-v3
fizzarolli-lust-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/fizzarolli-lust-7b-v3/tokenizer.model
fizzarolli-lust-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v3/tokenizer.json
fizzarolli-lust-7b-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/fizzarolli-lust-7b-v3/mkml_model.tensors
fizzarolli-lust-7b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
fizzarolli-lust-7b-v3-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.
fizzarolli-lust-7b-v3-mkmlizer: warnings.warn(
fizzarolli-lust-7b-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 10.9MB/s]
fizzarolli-lust-7b-v3-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.
fizzarolli-lust-7b-v3-mkmlizer: warnings.warn(
fizzarolli-lust-7b-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.05MB/s]
fizzarolli-lust-7b-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.43MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.42MB/s]
fizzarolli-lust-7b-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 25.2MB/s]
fizzarolli-lust-7b-v3-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.
fizzarolli-lust-7b-v3-mkmlizer: warnings.warn(
fizzarolli-lust-7b-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<02:03, 11.6MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:00, 23.7MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:01<00:52, 27.0MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:01<00:16, 80.7MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:01<00:11, 110MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:01<00:05, 234MB/s] pytorch_model.bin: 60%|██████ | 870M/1.44G [00:02<00:00, 1.34GB/s] pytorch_model.bin: 79%|███████▉ | 1.14G/1.44G [00:02<00:00, 1.61GB/s] pytorch_model.bin: 96%|█████████▋| 1.39G/1.44G [00:02<00:00, 1.41GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 586MB/s]
fizzarolli-lust-7b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
fizzarolli-lust-7b-v3-mkmlizer: Saving duration: 0.299s
fizzarolli-lust-7b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.144s
fizzarolli-lust-7b-v3-mkmlizer: creating bucket guanaco-reward-models
fizzarolli-lust-7b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
fizzarolli-lust-7b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/config.json
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/special_tokens_map.json
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/tokenizer_config.json
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/merges.txt
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/vocab.json
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/tokenizer.json
fizzarolli-lust-7b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/fizzarolli-lust-7b-v3_reward/reward.tensors
Job fizzarolli-lust-7b-v3-mkmlizer completed after 116.36s with status: succeeded
Stopping job with name fizzarolli-lust-7b-v3-mkmlizer
Pipeline stage MKMLizer completed in 119.66s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service fizzarolli-lust-7b-v3
Waiting for inference service fizzarolli-lust-7b-v3 to be ready
Inference service fizzarolli-lust-7b-v3 ready after 40.268272161483765s
Pipeline stage ISVCDeployer completed in 47.26s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7372486591339111s
Received healthy response to inference request in 1.2179679870605469s
Received healthy response to inference request in 1.2151386737823486s
Received healthy response to inference request in 1.2408511638641357s
Received healthy response to inference request in 1.1853249073028564s
5 requests
0 failed requests
5th percentile: 1.1912876605987548
10th percentile: 1.1972504138946534
20th percentile: 1.2091759204864503
30th percentile: 1.2157045364379884
40th percentile: 1.2168362617492676
50th percentile: 1.2179679870605469
60th percentile: 1.2271212577819823
70th percentile: 1.236274528503418
80th percentile: 1.340130662918091
90th percentile: 1.538689661026001
95th percentile: 1.637969160079956
99th percentile: 1.7173927593231202
mean time: 1.3193062782287597
Pipeline stage StressChecker completed in 7.52s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
fizzarolli-lust-7b_v3 status is now deployed due to DeploymentManager action
fizzarolli-lust-7b_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of fizzarolli-lust-7b_v3
Running pipeline stage ISVCDeleter
Checking if service fizzarolli-lust-7b-v3 is running
Tearing down inference service fizzarolli-lust-7b-v3
Toredown service fizzarolli-lust-7b-v3
Pipeline stage ISVCDeleter completed in 3.97s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key fizzarolli-lust-7b-v3/added_tokens.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/config.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key fizzarolli-lust-7b-v3_reward/config.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.04s
fizzarolli-lust-7b_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics