arlineka-kittynyanster-v1

developer_uid: arlineka
submission_id: arlineka-kittynyanster-v1_v2
model_name: kittynyanster
model_group: arlineka/KittyNyanster-v
status: torndown
timestamp: 2024-04-03T03:42:41+00:00
num_battles: 28327
num_wins: 15168
celo_rating: 1183.7
family_friendly_score: 0.0
submission_type: basic
model_repo: arlineka/KittyNyanster-v1
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: kittynyanster
is_internal_developer: False
language_model: arlineka/KittyNyanster-v1
model_size: 7B
ranking_group: single
us_pacific_date: 2024-04-02
win_ratio: 0.5354608677233734
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': '<|im_start|>system\n{prompt}\nPlay the role of {bot_name}.<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '<|im_start|>system\n{prompt}\nPlay the role of {bot_name}.<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False, 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name arlineka-kittynyanster-v1-v2-mkmlizer
Waiting for job on arlineka-kittynyanster-v1-v2-mkmlizer to finish
arlineka-kittynyanster-v1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-kittynyanster-v1-v2-mkmlizer: ║     _____            __           __                                ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║       /___/                                                         ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  Version: 0.6.11                                                    ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  belonging to:                                                      ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
arlineka-kittynyanster-v1-v2-mkmlizer: ║                                                                     ║
arlineka-kittynyanster-v1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-kittynyanster-v1-v2-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 17.6MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
.gitignore:   0%|          | 0.00/19.0 [00:00<?, ?B/s]
.gitignore: 100%|██████████| 19.0/19.0 [00:00<00:00, 226kB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
README.md:   0%|          | 0.00/2.83k [00:00<?, ?B/s]
README.md: 100%|██████████| 2.83k/2.83k [00:00<00:00, 32.9MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
config.json:   0%|          | 0.00/690 [00:00<?, ?B/s]
config.json: 100%|██████████| 690/690 [00:00<00:00, 9.19MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
model-00001-of-00002.safetensors:   0%|          | 0.00/9.98G [00:00<?, ?B/s]
model-00001-of-00002.safetensors:   0%|          | 21.0M/9.98G [00:00<00:54, 182MB/s]
model-00001-of-00002.safetensors:   1%|          | 62.9M/9.98G [00:00<00:35, 278MB/s]
model-00001-of-00002.safetensors:   1%|          | 115M/9.98G [00:00<00:35, 281MB/s] 
model-00001-of-00002.safetensors:   2%|▏         | 157M/9.98G [00:00<00:30, 321MB/s]
model-00001-of-00002.safetensors:   2%|▏         | 231M/9.98G [00:00<00:22, 439MB/s]
model-00001-of-00002.safetensors:   3%|▎         | 304M/9.98G [00:00<00:18, 520MB/s]
model-00001-of-00002.safetensors:   4%|▍         | 440M/9.98G [00:00<00:12, 755MB/s]
model-00001-of-00002.safetensors:   6%|▌         | 598M/9.98G [00:00<00:09, 988MB/s]
model-00001-of-00002.safetensors:   9%|▉         | 902M/9.98G [00:01<00:05, 1.58GB/s]
model-00001-of-00002.safetensors:  11%|█         | 1.07G/9.98G [00:01<00:05, 1.60GB/s]
model-00001-of-00002.safetensors:  12%|█▏        | 1.24G/9.98G [00:01<00:05, 1.55GB/s]
model-00001-of-00002.safetensors:  14%|█▍        | 1.41G/9.98G [00:01<00:06, 1.31GB/s]
model-00001-of-00002.safetensors:  16%|█▌        | 1.55G/9.98G [00:01<00:06, 1.23GB/s]
model-00001-of-00002.safetensors:  17%|█▋        | 1.69G/9.98G [00:01<00:06, 1.26GB/s]
model-00001-of-00002.safetensors:  18%|█▊        | 1.82G/9.98G [00:01<00:06, 1.23GB/s]
model-00001-of-00002.safetensors:  21%|██        | 2.09G/9.98G [00:01<00:05, 1.56GB/s]
model-00001-of-00002.safetensors:  23%|██▎       | 2.29G/9.98G [00:02<00:04, 1.67GB/s]
model-00001-of-00002.safetensors:  25%|██▍       | 2.46G/9.98G [00:02<00:04, 1.56GB/s]
model-00001-of-00002.safetensors:  26%|██▋       | 2.63G/9.98G [00:02<00:05, 1.38GB/s]
model-00001-of-00002.safetensors:  29%|██▊       | 2.85G/9.98G [00:02<00:04, 1.57GB/s]
model-00001-of-00002.safetensors:  30%|███       | 3.02G/9.98G [00:02<00:05, 1.30GB/s]
model-00001-of-00002.safetensors:  32%|███▏      | 3.21G/9.98G [00:02<00:04, 1.43GB/s]
model-00001-of-00002.safetensors:  34%|███▍      | 3.44G/9.98G [00:02<00:04, 1.61GB/s]
model-00001-of-00002.safetensors:  36%|███▋      | 3.63G/9.98G [00:02<00:03, 1.68GB/s]
model-00001-of-00002.safetensors:  39%|███▊      | 3.86G/9.98G [00:03<00:03, 1.79GB/s]
model-00001-of-00002.safetensors:  41%|████      | 4.05G/9.98G [00:03<00:03, 1.73GB/s]
model-00001-of-00002.safetensors:  42%|████▏     | 4.23G/9.98G [00:03<00:03, 1.55GB/s]
model-00001-of-00002.safetensors:  44%|████▍     | 4.39G/9.98G [00:03<00:03, 1.46GB/s]
model-00001-of-00002.safetensors:  46%|████▌     | 4.55G/9.98G [00:03<00:03, 1.47GB/s]
model-00001-of-00002.safetensors:  47%|████▋     | 4.71G/9.98G [00:03<00:04, 1.27GB/s]
model-00001-of-00002.safetensors:  49%|████▊     | 4.84G/9.98G [00:03<00:04, 1.19GB/s]
model-00001-of-00002.safetensors:  50%|████▉     | 4.97G/9.98G [00:03<00:04, 1.08GB/s]
model-00001-of-00002.safetensors:  51%|█████     | 5.09G/9.98G [00:04<00:04, 1.07GB/s]
model-00001-of-00002.safetensors:  53%|█████▎    | 5.28G/9.98G [00:04<00:04, 1.17GB/s]
model-00001-of-00002.safetensors:  54%|█████▍    | 5.41G/9.98G [00:04<00:04, 1.10GB/s]
model-00001-of-00002.safetensors:  56%|█████▌    | 5.55G/9.98G [00:04<00:03, 1.13GB/s]
model-00001-of-00002.safetensors:  57%|█████▋    | 5.69G/9.98G [00:04<00:03, 1.15GB/s]
model-00001-of-00002.safetensors:  58%|█████▊    | 5.82G/9.98G [00:04<00:03, 1.17GB/s]
model-00001-of-00002.safetensors:  60%|█████▉    | 5.95G/9.98G [00:04<00:03, 1.06GB/s]
model-00001-of-00002.safetensors:  61%|██████▏   | 6.13G/9.98G [00:04<00:03, 1.23GB/s]
model-00001-of-00002.safetensors:  63%|██████▎   | 6.32G/9.98G [00:05<00:02, 1.40GB/s]
model-00001-of-00002.safetensors:  65%|██████▌   | 6.49G/9.98G [00:05<00:02, 1.46GB/s]
model-00001-of-00002.safetensors:  68%|██████▊   | 6.81G/9.98G [00:05<00:01, 1.87GB/s]
model-00001-of-00002.safetensors:  71%|███████   | 7.06G/9.98G [00:05<00:01, 2.04GB/s]
model-00001-of-00002.safetensors:  73%|███████▎  | 7.27G/9.98G [00:05<00:01, 1.67GB/s]
model-00001-of-00002.safetensors:  75%|███████▌  | 7.49G/9.98G [00:05<00:01, 1.78GB/s]
model-00001-of-00002.safetensors:  77%|███████▋  | 7.73G/9.98G [00:05<00:01, 1.91GB/s]
model-00001-of-00002.safetensors:  80%|███████▉  | 7.94G/9.98G [00:05<00:01, 1.80GB/s]
model-00001-of-00002.safetensors:  81%|████████▏ | 8.13G/9.98G [00:06<00:01, 1.74GB/s]
model-00001-of-00002.safetensors:  83%|████████▎ | 8.32G/9.98G [00:06<00:00, 1.69GB/s]
model-00001-of-00002.safetensors:  85%|████████▌ | 8.51G/9.98G [00:06<00:00, 1.75GB/s]
model-00001-of-00002.safetensors:  87%|████████▋ | 8.69G/9.98G [00:06<00:00, 1.56GB/s]
model-00001-of-00002.safetensors:  89%|████████▉ | 8.87G/9.98G [00:06<00:00, 1.60GB/s]
model-00001-of-00002.safetensors:  92%|█████████▏| 9.14G/9.98G [00:06<00:00, 1.83GB/s]
model-00001-of-00002.safetensors:  94%|█████████▎| 9.35G/9.98G [00:06<00:00, 1.84GB/s]
model-00001-of-00002.safetensors:  96%|█████████▌| 9.54G/9.98G [00:07<00:00, 1.23GB/s]
model-00001-of-00002.safetensors:  97%|█████████▋| 9.69G/9.98G [00:07<00:00, 1.21GB/s]
model-00001-of-00002.safetensors:  99%|█████████▊| 9.84G/9.98G [00:07<00:00, 1.21GB/s]
model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:07<00:00, 1.36GB/s]
arlineka-kittynyanster-v1-v2-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 [00:00<02:28, 30.2MB/s]
model-00002-of-00002.safetensors:   0%|          | 21.0M/4.51G [00:00<01:48, 41.3MB/s]
model-00002-of-00002.safetensors:   2%|▏         | 83.9M/4.51G [00:00<00:26, 166MB/s] 
model-00002-of-00002.safetensors:   3%|▎         | 115M/4.51G [00:00<00:26, 168MB/s] 
model-00002-of-00002.safetensors:   3%|▎         | 157M/4.51G [00:00<00:19, 223MB/s]
model-00002-of-00002.safetensors:   7%|▋         | 336M/4.51G [00:01<00:06, 598MB/s]
model-00002-of-00002.safetensors:  20%|██        | 923M/4.51G [00:01<00:01, 1.94GB/s]
model-00002-of-00002.safetensors:  26%|██▌       | 1.17G/4.51G [00:01<00:01, 2.06GB/s]
model-00002-of-00002.safetensors:  34%|███▎      | 1.52G/4.51G [00:01<00:01, 2.42GB/s]
model-00002-of-00002.safetensors:  40%|███▉      | 1.79G/4.51G [00:01<00:01, 1.44GB/s]
model-00002-of-00002.safetensors:  45%|████▍     | 2.01G/4.51G [00:01<00:01, 1.27GB/s]
model-00002-of-00002.safetensors:  49%|████▊     | 2.19G/4.51G [00:02<00:01, 1.35GB/s]
model-00002-of-00002.safetensors:  53%|█████▎    | 2.37G/4.51G [00:02<00:01, 1.20GB/s]
model-00002-of-00002.safetensors:  59%|█████▉    | 2.65G/4.51G [00:02<00:01, 1.50GB/s]
model-00002-of-00002.safetensors:  66%|██████▌   | 2.96G/4.51G [00:02<00:00, 1.83GB/s]
model-00002-of-00002.safetensors:  71%|███████   | 3.21G/4.51G [00:02<00:00, 1.96GB/s]
model-00002-of-00002.safetensors:  76%|███████▋  | 3.44G/4.51G [00:02<00:00, 1.57GB/s]
model-00002-of-00002.safetensors:  80%|████████  | 3.63G/4.51G [00:02<00:00, 1.55GB/s]
model-00002-of-00002.safetensors:  84%|████████▍ | 3.81G/4.51G [00:03<00:00, 1.53GB/s]
model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:03<00:00, 1.41GB/s]
arlineka-kittynyanster-v1-v2-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, 154MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/414 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 6.86MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.80M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 35.0MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
tokenizer.model:   0%|          | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 54.7MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/967 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 15.5MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: Downloaded to shared memory in 12.451s
arlineka-kittynyanster-v1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
arlineka-kittynyanster-v1-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
arlineka-kittynyanster-v1-v2-mkmlizer: Reading /tmp/tmp1na_tw57/model.safetensors.index.json
arlineka-kittynyanster-v1-v2-mkmlizer: 
Profiling:   0%|          | 0/291 [00:00<?, ?it/s]
Profiling:   0%|          | 1/291 [00:01<06:20,  1.31s/it]
Profiling:   5%|▍         | 14/291 [00:01<00:20, 13.27it/s]
Profiling:  11%|█         | 31/291 [00:01<00:08, 32.26it/s]
Profiling:  17%|█▋        | 49/291 [00:01<00:04, 53.16it/s]
Profiling:  23%|██▎       | 67/291 [00:01<00:03, 73.52it/s]
Profiling:  29%|██▉       | 85/291 [00:01<00:02, 91.45it/s]
Profiling:  35%|███▌      | 103/291 [00:01<00:01, 107.38it/s]
Profiling:  42%|████▏     | 121/291 [00:02<00:01, 120.87it/s]
Profiling:  48%|████▊     | 140/291 [00:02<00:01, 133.44it/s]
Profiling:  54%|█████▍    | 158/291 [00:02<00:00, 140.96it/s]
Profiling:  60%|██████    | 176/291 [00:02<00:00, 147.90it/s]
Profiling:  67%|██████▋   | 194/291 [00:02<00:00, 153.09it/s]
Profiling:  73%|███████▎  | 211/291 [00:04<00:02, 28.70it/s] 
Profiling:  78%|███████▊  | 226/291 [00:04<00:01, 36.65it/s]
Profiling:  82%|████████▏ | 240/291 [00:04<00:01, 45.41it/s]
Profiling:  89%|████████▊ | 258/291 [00:04<00:00, 59.09it/s]
Profiling:  95%|█████████▍| 275/291 [00:04<00:00, 73.59it/s]
Profiling: 100%|██████████| 291/291 [00:04<00:00, 58.22it/s]
arlineka-kittynyanster-v1-v2-mkmlizer: quantized model in 17.324s
arlineka-kittynyanster-v1-v2-mkmlizer: Processed model arlineka/KittyNyanster-v1 in 30.713s
arlineka-kittynyanster-v1-v2-mkmlizer: creating bucket guanaco-mkml-models
arlineka-kittynyanster-v1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-kittynyanster-v1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/config.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/special_tokens_map.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/tokenizer.model
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/tokenizer_config.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/tokenizer.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/arlineka-kittynyanster-v1-v2/mkml_model.tensors
arlineka-kittynyanster-v1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
arlineka-kittynyanster-v1-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.
arlineka-kittynyanster-v1-v2-mkmlizer:   warnings.warn(
arlineka-kittynyanster-v1-v2-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 6.55MB/s]
arlineka-kittynyanster-v1-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.
arlineka-kittynyanster-v1-v2-mkmlizer:   warnings.warn(
arlineka-kittynyanster-v1-v2-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.76MB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: 
pytorch_model.bin:   0%|          | 0.00/1.44G [00:00<?, ?B/s]
pytorch_model.bin:   1%|▏         | 21.0M/1.44G [00:00<00:07, 198MB/s]
pytorch_model.bin:   3%|▎         | 41.9M/1.44G [00:00<00:10, 137MB/s]
pytorch_model.bin:   9%|▉         | 136M/1.44G [00:00<00:04, 325MB/s] 
pytorch_model.bin:  12%|█▏        | 168M/1.44G [00:00<00:04, 290MB/s]
pytorch_model.bin:  15%|█▍        | 210M/1.44G [00:00<00:03, 309MB/s]
pytorch_model.bin:  20%|██        | 294M/1.44G [00:00<00:03, 378MB/s]
pytorch_model.bin:  31%|███       | 451M/1.44G [00:01<00:01, 647MB/s]
pytorch_model.bin:  42%|████▏     | 608M/1.44G [00:01<00:00, 859MB/s]
pytorch_model.bin:  70%|██████▉   | 1.01G/1.44G [00:01<00:00, 1.63GB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.07GB/s]
arlineka-kittynyanster-v1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
arlineka-kittynyanster-v1-v2-mkmlizer: Saving duration: 0.302s
arlineka-kittynyanster-v1-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.850s
arlineka-kittynyanster-v1-v2-mkmlizer: creating bucket guanaco-reward-models
arlineka-kittynyanster-v1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
arlineka-kittynyanster-v1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/config.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/tokenizer_config.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/special_tokens_map.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/merges.txt
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/vocab.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/tokenizer.json
arlineka-kittynyanster-v1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/arlineka-kittynyanster-v1-v2_reward/reward.tensors
Job arlineka-kittynyanster-v1-v2-mkmlizer completed after 54.45s with status: succeeded
Stopping job with name arlineka-kittynyanster-v1-v2-mkmlizer
Pipeline stage MKMLizer completed in 56.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service arlineka-kittynyanster-v1-v2
Waiting for inference service arlineka-kittynyanster-v1-v2 to be ready
Inference service arlineka-kittynyanster-v1-v2 ready after 40.87037706375122s
Pipeline stage ISVCDeployer completed in 47.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8349452018737793s
Received healthy response to inference request in 1.3963727951049805s
Received healthy response to inference request in 1.20628023147583s
Received healthy response to inference request in 1.1980726718902588s
Received healthy response to inference request in 1.202446460723877s
5 requests
0 failed requests
5th percentile: 1.1989474296569824
10th percentile: 1.199822187423706
20th percentile: 1.2015717029571533
30th percentile: 1.2032132148742676
40th percentile: 1.2047467231750488
50th percentile: 1.20628023147583
60th percentile: 1.2823172569274903
70th percentile: 1.3583542823791503
80th percentile: 1.4840872764587403
90th percentile: 1.65951623916626
95th percentile: 1.7472307205200195
99th percentile: 1.8174023056030273
mean time: 1.367623472213745
Pipeline stage StressChecker completed in 7.82s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
arlineka-kittynyanster-v1_v2 status is now deployed due to DeploymentManager action
arlineka-kittynyanster-v1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of arlineka-kittynyanster-v1_v2
Running pipeline stage ISVCDeleter
Checking if service arlineka-kittynyanster-v1-v2 is running
Tearing down inference service arlineka-kittynyanster-v1-v2
Toredown service arlineka-kittynyanster-v1-v2
Pipeline stage ISVCDeleter completed in 4.09s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v2/config.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key arlineka-kittynyanster-v1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key arlineka-kittynyanster-v1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key arlineka-kittynyanster-v1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.12s
arlineka-kittynyanster-v1_v2 status is now torndown due to DeploymentManager action