submission_id: arlineka-kittynyanster-v1_v1
developer_uid: arlineka
status: torndown
model_repo: arlineka/KittyNyanster-v1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'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: 2024-04-03T03:20:18+00:00
model_name: kittynyanster
model_eval_status: success
model_group: arlineka/KittyNyanster-v
num_battles: 28411
num_wins: 15503
celo_rating: 1190.53
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: kittynyanster
ineligible_reason: propriety_total_count < 800
language_model: arlineka/KittyNyanster-v1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-02
win_ratio: 0.5456689310478335
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name arlineka-kittynyanster-v1-v1-mkmlizer
Waiting for job on arlineka-kittynyanster-v1-v1-mkmlizer to finish
arlineka-kittynyanster-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-kittynyanster-v1-v1-mkmlizer: ║ _____ __ __ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ /___/ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ Version: 0.6.11 ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ belonging to: ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ Chai Research Corp. ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
arlineka-kittynyanster-v1-v1-mkmlizer: ║ ║
arlineka-kittynyanster-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-kittynyanster-v1-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 14.2MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: .gitignore: 0%| | 0.00/19.0 [00:00<?, ?B/s] .gitignore: 100%|██████████| 19.0/19.0 [00:00<00:00, 113kB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: README.md: 0%| | 0.00/2.83k [00:00<?, ?B/s] README.md: 100%|██████████| 2.83k/2.83k [00:00<00:00, 23.1MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: config.json: 0%| | 0.00/690 [00:00<?, ?B/s] config.json: 100%|██████████| 690/690 [00:00<00:00, 6.18MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.98G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.98G [00:00<05:34, 29.8MB/s] model-00001-of-00002.safetensors: 0%| | 21.0M/9.98G [00:01<14:22, 11.5MB/s] model-00001-of-00002.safetensors: 0%| | 31.5M/9.98G [00:02<12:59, 12.8MB/s] model-00001-of-00002.safetensors: 0%| | 41.9M/9.98G [00:02<08:51, 18.7MB/s] model-00001-of-00002.safetensors: 1%| | 62.9M/9.98G [00:02<05:27, 30.3MB/s] model-00001-of-00002.safetensors: 1%| | 105M/9.98G [00:03<03:16, 50.1MB/s] model-00001-of-00002.safetensors: 2%|▏ | 189M/9.98G [00:03<01:20, 122MB/s] model-00001-of-00002.safetensors: 3%|▎ | 304M/9.98G [00:03<00:40, 240MB/s] model-00001-of-00002.safetensors: 4%|▍ | 409M/9.98G [00:03<00:28, 331MB/s] model-00001-of-00002.safetensors: 6%|▌ | 566M/9.98G [00:03<00:17, 523MB/s] model-00001-of-00002.safetensors: 11%|█ | 1.11G/9.98G [00:03<00:07, 1.25GB/s] model-00001-of-00002.safetensors: 13%|█▎ | 1.27G/9.98G [00:04<00:14, 606MB/s] model-00001-of-00002.safetensors: 14%|█▍ | 1.38G/9.98G [00:05<00:16, 523MB/s] model-00001-of-00002.safetensors: 15%|█▍ | 1.48G/9.98G [00:05<00:17, 489MB/s] model-00001-of-00002.safetensors: 16%|█▌ | 1.57G/9.98G [00:05<00:15, 543MB/s] model-00001-of-00002.safetensors: 17%|█▋ | 1.66G/9.98G [00:05<00:16, 498MB/s] model-00001-of-00002.safetensors: 17%|█▋ | 1.74G/9.98G [00:05<00:15, 530MB/s] model-00001-of-00002.safetensors: 19%|█▉ | 1.88G/9.98G [00:05<00:12, 670MB/s] model-00001-of-00002.safetensors: 20%|█▉ | 1.97G/9.98G [00:06<00:12, 619MB/s] model-00001-of-00002.safetensors: 21%|██ | 2.07G/9.98G [00:06<00:11, 681MB/s] model-00001-of-00002.safetensors: 22%|██▏ | 2.20G/9.98G [00:06<00:09, 823MB/s] model-00001-of-00002.safetensors: 23%|██▎ | 2.31G/9.98G [00:06<00:08, 867MB/s] model-00001-of-00002.safetensors: 24%|██▍ | 2.41G/9.98G [00:06<00:09, 782MB/s] model-00001-of-00002.safetensors: 29%|██▉ | 2.90G/9.98G [00:06<00:04, 1.74GB/s] model-00001-of-00002.safetensors: 32%|███▏ | 3.23G/9.98G [00:06<00:03, 2.05GB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.46G/9.98G [00:07<00:09, 672MB/s] model-00001-of-00002.safetensors: 36%|███▋ | 3.64G/9.98G [00:07<00:08, 752MB/s] model-00001-of-00002.safetensors: 39%|███▉ | 3.90G/9.98G [00:07<00:06, 982MB/s] model-00001-of-00002.safetensors: 41%|████ | 4.09G/9.98G [00:08<00:05, 1.10GB/s] model-00001-of-00002.safetensors: 44%|████▎ | 4.35G/9.98G [00:08<00:04, 1.31GB/s] model-00001-of-00002.safetensors: 46%|████▌ | 4.55G/9.98G [00:08<00:07, 680MB/s] model-00001-of-00002.safetensors: 47%|████▋ | 4.70G/9.98G [00:08<00:07, 725MB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.83G/9.98G [00:09<00:06, 759MB/s] model-00001-of-00002.safetensors: 50%|████▉ | 4.96G/9.98G [00:09<00:06, 750MB/s] model-00001-of-00002.safetensors: 51%|█████ | 5.06G/9.98G [00:09<00:06, 733MB/s] model-00001-of-00002.safetensors: 52%|█████▏ | 5.16G/9.98G [00:09<00:06, 759MB/s] model-00001-of-00002.safetensors: 53%|█████▎ | 5.31G/9.98G [00:09<00:05, 876MB/s] model-00001-of-00002.safetensors: 55%|█████▍ | 5.45G/9.98G [00:09<00:04, 991MB/s] model-00001-of-00002.safetensors: 57%|█████▋ | 5.67G/9.98G [00:09<00:03, 1.24GB/s] model-00001-of-00002.safetensors: 58%|█████▊ | 5.82G/9.98G [00:10<00:04, 997MB/s] model-00001-of-00002.safetensors: 60%|█████▉ | 5.95G/9.98G [00:10<00:04, 931MB/s] model-00001-of-00002.safetensors: 61%|██████ | 6.06G/9.98G [00:10<00:05, 777MB/s] model-00001-of-00002.safetensors: 62%|██████▏ | 6.16G/9.98G [00:10<00:04, 768MB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.28G/9.98G [00:10<00:04, 858MB/s] model-00001-of-00002.safetensors: 64%|██████▍ | 6.42G/9.98G [00:10<00:03, 972MB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.53G/9.98G [00:10<00:03, 908MB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.64G/9.98G [00:11<00:03, 884MB/s] model-00001-of-00002.safetensors: 68%|██████▊ | 6.74G/9.98G [00:11<00:03, 901MB/s] model-00001-of-00002.safetensors: 70%|██████▉ | 6.95G/9.98G [00:11<00:02, 1.16GB/s] model-00001-of-00002.safetensors: 71%|███████▏ | 7.13G/9.98G [00:11<00:02, 1.30GB/s] model-00001-of-00002.safetensors: 73%|███████▎ | 7.30G/9.98G [00:11<00:02, 1.28GB/s] model-00001-of-00002.safetensors: 75%|███████▍ | 7.43G/9.98G [00:11<00:02, 1.02GB/s] model-00001-of-00002.safetensors: 76%|███████▌ | 7.55G/9.98G [00:11<00:02, 878MB/s] model-00001-of-00002.safetensors: 77%|███████▋ | 7.65G/9.98G [00:12<00:02, 779MB/s] model-00001-of-00002.safetensors: 78%|███████▊ | 7.75G/9.98G [00:12<00:03, 706MB/s] model-00001-of-00002.safetensors: 79%|███████▊ | 7.83G/9.98G [00:12<00:03, 666MB/s] model-00001-of-00002.safetensors: 80%|███████▉ | 7.95G/9.98G [00:12<00:02, 763MB/s] model-00001-of-00002.safetensors: 81%|████████ | 8.11G/9.98G [00:12<00:01, 939MB/s] model-00001-of-00002.safetensors: 83%|████████▎ | 8.27G/9.98G [00:12<00:01, 1.11GB/s] model-00001-of-00002.safetensors: 84%|████████▍ | 8.41G/9.98G [00:12<00:01, 1.13GB/s] model-00001-of-00002.safetensors: 86%|████████▌ | 8.54G/9.98G [00:13<00:01, 942MB/s] model-00001-of-00002.safetensors: 87%|████████▋ | 8.64G/9.98G [00:13<00:01, 902MB/s] model-00001-of-00002.safetensors: 88%|████████▊ | 8.75G/9.98G [00:13<00:01, 798MB/s] model-00001-of-00002.safetensors: 89%|████████▊ | 8.84G/9.98G [00:13<00:01, 799MB/s] model-00001-of-00002.safetensors: 90%|████████▉ | 8.93G/9.98G [00:13<00:01, 745MB/s] model-00001-of-00002.safetensors: 90%|█████████ | 9.03G/9.98G [00:13<00:01, 785MB/s] model-00001-of-00002.safetensors: 92%|█████████▏| 9.19G/9.98G [00:13<00:00, 919MB/s] model-00001-of-00002.safetensors: 94%|█████████▍| 9.35G/9.98G [00:13<00:00, 1.10GB/s] model-00001-of-00002.safetensors: 96%|█████████▌| 9.55G/9.98G [00:14<00:00, 1.30GB/s] model-00001-of-00002.safetensors: 98%|█████████▊| 9.77G/9.98G [00:14<00:00, 1.52GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:14<00:00, 1.60GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:14<00:00, 695MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: model-00002-of-00002.safetensors: 0%| | 0.00/4.51G [00:00<?, ?B/s] model-00002-of-00002.safetensors: 0%| | 10.5M/4.51G [00:02<16:51, 4.44MB/s] model-00002-of-00002.safetensors: 0%| | 21.0M/4.51G [00:02<08:43, 8.57MB/s] model-00002-of-00002.safetensors: 1%| | 41.9M/4.51G [00:02<03:39, 20.4MB/s] model-00002-of-00002.safetensors: 1%|▏ | 62.9M/4.51G [00:03<02:13, 33.3MB/s] model-00002-of-00002.safetensors: 3%|▎ | 147M/4.51G [00:03<00:39, 111MB/s] model-00002-of-00002.safetensors: 6%|▌ | 273M/4.51G [00:03<00:17, 248MB/s] model-00002-of-00002.safetensors: 7%|▋ | 336M/4.51G [00:03<00:14, 286MB/s] model-00002-of-00002.safetensors: 9%|▉ | 409M/4.51G [00:03<00:11, 357MB/s] model-00002-of-00002.safetensors: 20%|█▉ | 881M/4.51G [00:03<00:03, 1.18GB/s] model-00002-of-00002.safetensors: 24%|██▍ | 1.08G/4.51G [00:04<00:04, 813MB/s] model-00002-of-00002.safetensors: 27%|██▋ | 1.23G/4.51G [00:04<00:07, 457MB/s] model-00002-of-00002.safetensors: 30%|██▉ | 1.34G/4.51G [00:05<00:07, 449MB/s] model-00002-of-00002.safetensors: 34%|███▍ | 1.54G/4.51G [00:05<00:04, 615MB/s] model-00002-of-00002.safetensors: 37%|███▋ | 1.67G/4.51G [00:05<00:04, 641MB/s] model-00002-of-00002.safetensors: 40%|███▉ | 1.78G/4.51G [00:05<00:03, 692MB/s] model-00002-of-00002.safetensors: 43%|████▎ | 1.93G/4.51G [00:05<00:03, 821MB/s] model-00002-of-00002.safetensors: 46%|████▌ | 2.06G/4.51G [00:05<00:02, 897MB/s] model-00002-of-00002.safetensors: 52%|█████▏ | 2.35G/4.51G [00:05<00:01, 1.09GB/s] model-00002-of-00002.safetensors: 55%|█████▍ | 2.47G/4.51G [00:06<00:02, 811MB/s] model-00002-of-00002.safetensors: 57%|█████▋ | 2.58G/4.51G [00:06<00:03, 583MB/s] model-00002-of-00002.safetensors: 59%|█████▉ | 2.66G/4.51G [00:06<00:03, 574MB/s] model-00002-of-00002.safetensors: 61%|██████ | 2.74G/4.51G [00:06<00:03, 530MB/s] model-00002-of-00002.safetensors: 62%|██████▏ | 2.80G/4.51G [00:07<00:03, 468MB/s] model-00002-of-00002.safetensors: 64%|██████▎ | 2.87G/4.51G [00:07<00:03, 501MB/s] model-00002-of-00002.safetensors: 65%|██████▌ | 2.95G/4.51G [00:07<00:02, 546MB/s] model-00002-of-00002.safetensors: 68%|██████▊ | 3.05G/4.51G [00:07<00:02, 650MB/s] model-00002-of-00002.safetensors: 71%|███████ | 3.19G/4.51G [00:07<00:01, 807MB/s] model-00002-of-00002.safetensors: 75%|███████▌ | 3.39G/4.51G [00:07<00:01, 1.03GB/s] model-00002-of-00002.safetensors: 78%|███████▊ | 3.50G/4.51G [00:07<00:01, 747MB/s] model-00002-of-00002.safetensors: 80%|███████▉ | 3.60G/4.51G [00:08<00:01, 685MB/s] model-00002-of-00002.safetensors: 82%|████████▏ | 3.68G/4.51G [00:08<00:01, 560MB/s] model-00002-of-00002.safetensors: 83%|████████▎ | 3.75G/4.51G [00:08<00:01, 523MB/s] model-00002-of-00002.safetensors: 85%|████████▍ | 3.83G/4.51G [00:08<00:01, 514MB/s] model-00002-of-00002.safetensors: 88%|████████▊ | 3.96G/4.51G [00:08<00:00, 638MB/s] model-00002-of-00002.safetensors: 92%|█████████▏| 4.14G/4.51G [00:08<00:00, 822MB/s] model-00002-of-00002.safetensors: 95%|█████████▌| 4.30G/4.51G [00:09<00:00, 973MB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:09<00:00, 492MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/22.8k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 86.4MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.97MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 19.8MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 18.3MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 10.5MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: Downloaded to shared memory in 31.046s
arlineka-kittynyanster-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
arlineka-kittynyanster-v1-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
arlineka-kittynyanster-v1-v1-mkmlizer: Reading /tmp/tmp9bohjagh/model.safetensors.index.json
arlineka-kittynyanster-v1-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:44, 1.39s/it] Profiling: 6%|▌ | 18/291 [00:01<00:16, 16.44it/s] Profiling: 14%|█▎ | 40/291 [00:01<00:06, 39.89it/s] Profiling: 21%|██▏ | 62/291 [00:01<00:03, 65.47it/s] Profiling: 29%|██▉ | 84/291 [00:01<00:02, 91.12it/s] Profiling: 35%|███▌ | 103/291 [00:01<00:01, 109.95it/s] Profiling: 43%|████▎ | 125/291 [00:02<00:01, 133.01it/s] Profiling: 51%|█████ | 147/291 [00:02<00:00, 153.12it/s] Profiling: 58%|█████▊ | 168/291 [00:02<00:00, 164.31it/s] Profiling: 65%|██████▍ | 189/291 [00:02<00:00, 175.21it/s] Profiling: 72%|███████▏ | 210/291 [00:04<00:02, 34.64it/s] Profiling: 79%|███████▉ | 230/291 [00:04<00:01, 45.58it/s] Profiling: 87%|████████▋ | 253/291 [00:04<00:00, 61.56it/s] Profiling: 95%|█████████▍| 275/291 [00:04<00:00, 78.75it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 63.48it/s]
arlineka-kittynyanster-v1-v1-mkmlizer: quantized model in 14.816s
arlineka-kittynyanster-v1-v1-mkmlizer: Processed model arlineka/KittyNyanster-v1 in 46.656s
arlineka-kittynyanster-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
arlineka-kittynyanster-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-kittynyanster-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/config.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/special_tokens_map.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/tokenizer.model
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/tokenizer.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/tokenizer_config.json
Exception raised while processing tagging_function
Traceback (most recent call last): File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api conversation_tag = self.tagging_function(conversation_state) File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length TypeError: 'ConversationMessage' object is not subscriptable
arlineka-kittynyanster-v1-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v1/mkml_model.tensors
arlineka-kittynyanster-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
arlineka-kittynyanster-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
arlineka-kittynyanster-v1-v1-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.27MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
arlineka-kittynyanster-v1-v1-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.92MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 2.39MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 2.38MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 11.7MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 11.7MB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
arlineka-kittynyanster-v1-v1-mkmlizer: warnings.warn(
arlineka-kittynyanster-v1-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:29, 48.8MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:10, 138MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 529MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:01<00:02, 393MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:01<00:01, 610MB/s] pytorch_model.bin: 92%|█████████▏| 1.33G/1.44G [00:01<00:00, 2.20GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.13GB/s]
arlineka-kittynyanster-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
arlineka-kittynyanster-v1-v1-mkmlizer: Saving duration: 0.244s
arlineka-kittynyanster-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.368s
arlineka-kittynyanster-v1-v1-mkmlizer: creating bucket guanaco-reward-models
arlineka-kittynyanster-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
arlineka-kittynyanster-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/config.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/special_tokens_map.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/vocab.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/tokenizer_config.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/merges.txt
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/tokenizer.json
arlineka-kittynyanster-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/arlineka-kittynyanster-v1-v1_reward/reward.tensors
Job arlineka-kittynyanster-v1-v1-mkmlizer completed after 75.93s with status: succeeded
Stopping job with name arlineka-kittynyanster-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service arlineka-kittynyanster-v1-v1
Waiting for inference service arlineka-kittynyanster-v1-v1 to be ready
Inference service arlineka-kittynyanster-v1-v1 ready after 40.23354530334473s
Pipeline stage ISVCDeployer completed in 47.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6905381679534912s
Received healthy response to inference request in 1.1896369457244873s
Received healthy response to inference request in 1.2091319561004639s
Received healthy response to inference request in 1.192911148071289s
Received healthy response to inference request in 1.739403247833252s
5 requests
0 failed requests
5th percentile: 1.1902917861938476
10th percentile: 1.190946626663208
20th percentile: 1.1922563076019288
30th percentile: 1.196155309677124
40th percentile: 1.202643632888794
50th percentile: 1.2091319561004639
60th percentile: 1.4016944408416747
70th percentile: 1.5942569255828856
80th percentile: 1.7003111839294434
90th percentile: 1.7198572158813477
95th percentile: 1.7296302318572998
99th percentile: 1.7374486446380615
mean time: 1.4043242931365967
Pipeline stage StressChecker completed in 7.92s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
arlineka-kittynyanster-v1_v1 status is now deployed due to DeploymentManager action
arlineka-kittynyanster-v1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of arlineka-kittynyanster-v1_v1
Running pipeline stage ISVCDeleter
Checking if service arlineka-kittynyanster-v1-v1 is running
Tearing down inference service arlineka-kittynyanster-v1-v1
Toredown service arlineka-kittynyanster-v1-v1
Pipeline stage ISVCDeleter completed in 4.59s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v1/config.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.41s
arlineka-kittynyanster-v1_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics