submission_id: seyf1elislam-westkunai-h_6316_v2
developer_uid: seyf1elislam
alignment_samples: 0
best_of: 10
celo_rating: 1159.95
display_name: seyf1elislam-westkunai-h_6316_v2
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}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 10, 'max_output_tokens': 64}
ineligible_reason: propriety_total_count < 800
is_internal_developer: False
language_model: seyf1elislam/WestKunai-Hermes-7b
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: seyf1elislam/WestKunai-H
model_name: seyf1elislam-westkunai-h_6316_v2
model_num_parameters: 7241732096.0
model_repo: seyf1elislam/WestKunai-Hermes-7b
model_size: 7B
num_battles: 33690
num_wins: 17374
propriety_score: 0.0
propriety_total_count: 0.0
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\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: 2024-04-14T06:33:47+00:00
us_pacific_date: 2024-04-13
win_ratio: 0.5157019887206886
Resubmit model
Running pipeline stage MKMLizer
Starting job with name seyf1elislam-westkunai-h-6316-v2-mkmlizer
Waiting for job on seyf1elislam-westkunai-h-6316-v2-mkmlizer to finish
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ _____ __ __ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ /___/ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ Version: 0.6.11 ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ The license key for the current software has been verified as ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ belonging to: ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ Chai Research Corp. ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ║ ║
seyf1elislam-westkunai-h-6316-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
seyf1elislam-westkunai-h-6316-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 16.8MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: README.md: 0%| | 0.00/5.31k [00:00<?, ?B/s] README.md: 100%|██████████| 5.31k/5.31k [00:00<00:00, 53.6MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: config.json: 0%| | 0.00/614 [00:00<?, ?B/s] config.json: 100%|██████████| 614/614 [00:00<00:00, 7.44MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: mergekit_config.yml: 0%| | 0.00/388 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 388/388 [00:00<00:00, 4.90MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00001-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00001-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<00:34, 55.8MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.95G [00:00<00:34, 56.3MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:00<00:33, 56.9MB/s] model-00001-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:00<00:34, 56.0MB/s] model-00001-of-00008.safetensors: 10%|▉ | 189M/1.95G [00:00<00:04, 372MB/s] model-00001-of-00008.safetensors: 50%|████▉ | 965M/1.95G [00:00<00:00, 2.16GB/s] model-00001-of-00008.safetensors: 65%|██████▍ | 1.26G/1.95G [00:01<00:00, 1.79GB/s] model-00001-of-00008.safetensors: 77%|███████▋ | 1.51G/1.95G [00:01<00:00, 1.60GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.71GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.19GB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00002-of-00008.safetensors: 0%| | 0.00/2.00G [00:00<?, ?B/s] model-00002-of-00008.safetensors: 1%| | 10.5M/2.00G [00:00<01:15, 26.2MB/s] model-00002-of-00008.safetensors: 2%|▏ | 41.9M/2.00G [00:00<00:21, 89.9MB/s] model-00002-of-00008.safetensors: 3%|▎ | 62.9M/2.00G [00:00<00:24, 80.1MB/s] model-00002-of-00008.safetensors: 14%|█▎ | 273M/2.00G [00:00<00:03, 467MB/s] model-00002-of-00008.safetensors: 55%|█████▍ | 1.09G/2.00G [00:01<00:00, 2.12GB/s] model-00002-of-00008.safetensors: 72%|███████▏ | 1.44G/2.00G [00:01<00:00, 1.34GB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 2.00G/2.00G [00:01<00:00, 1.24GB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00004-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00004-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<01:21, 23.7MB/s] model-00004-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:00<00:21, 90.6MB/s] model-00004-of-00008.safetensors: 5%|▍ | 94.4M/1.95G [00:00<00:09, 199MB/s] model-00004-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:00<00:08, 201MB/s] model-00004-of-00008.safetensors: 12%|█▏ | 231M/1.95G [00:00<00:04, 369MB/s] model-00004-of-00008.safetensors: 54%|█████▍ | 1.06G/1.95G [00:01<00:00, 2.29GB/s] model-00004-of-00008.safetensors: 71%|███████ | 1.37G/1.95G [00:01<00:00, 2.22GB/s] model-00004-of-00008.safetensors: 85%|████████▍ | 1.65G/1.95G [00:01<00:00, 1.82GB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.27GB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.04GB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00005-of-00008.safetensors: 0%| | 0.00/1.86G [00:00<?, ?B/s] model-00005-of-00008.safetensors: 1%| | 10.5M/1.86G [00:00<01:16, 24.3MB/s] model-00005-of-00008.safetensors: 9%|▉ | 168M/1.86G [00:00<00:05, 291MB/s] model-00005-of-00008.safetensors: 11%|█▏ | 210M/1.86G [00:00<00:05, 316MB/s] model-00005-of-00008.safetensors: 24%|██▎ | 440M/1.86G [00:00<00:01, 760MB/s] model-00005-of-00008.safetensors: 66%|██████▌ | 1.23G/1.86G [00:00<00:00, 2.47GB/s] model-00005-of-00008.safetensors: 85%|████████▌ | 1.59G/1.86G [00:01<00:00, 2.10GB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.86G/1.86G [00:01<00:00, 1.24GB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00007-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00007-of-00008.safetensors: 1%| | 10.5M/1.98G [00:00<00:41, 47.5MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.98G [00:00<00:31, 61.9MB/s] model-00007-of-00008.safetensors: 15%|█▌ | 304M/1.98G [00:00<00:01, 947MB/s] model-00007-of-00008.safetensors: 22%|██▏ | 430M/1.98G [00:00<00:01, 998MB/s] model-00007-of-00008.safetensors: 28%|██▊ | 556M/1.98G [00:00<00:01, 1.04GB/s] model-00007-of-00008.safetensors: 34%|███▍ | 671M/1.98G [00:00<00:01, 1.07GB/s] model-00007-of-00008.safetensors: 42%|████▏ | 839M/1.98G [00:00<00:00, 1.24GB/s] model-00007-of-00008.safetensors: 52%|█████▏ | 1.04G/1.98G [00:00<00:00, 1.46GB/s] model-00007-of-00008.safetensors: 60%|██████ | 1.20G/1.98G [00:01<00:00, 1.40GB/s] model-00007-of-00008.safetensors: 71%|███████▏ | 1.41G/1.98G [00:01<00:00, 1.60GB/s] model-00007-of-00008.safetensors: 86%|████████▌ | 1.70G/1.98G [00:01<00:00, 1.91GB/s] model-00007-of-00008.safetensors: 96%|█████████▌| 1.90G/1.98G [00:01<00:00, 1.62GB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:01<00:00, 1.01GB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/906M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 1%| | 10.5M/906M [00:00<00:14, 63.8MB/s] model-00008-of-00008.safetensors: 2%|▏ | 21.0M/906M [00:00<00:14, 60.1MB/s] model-00008-of-00008.safetensors: 35%|███▍ | 315M/906M [00:00<00:00, 854MB/s] model-00008-of-00008.safetensors: 46%|████▌ | 413M/906M [00:00<00:00, 820MB/s] model-00008-of-00008.safetensors: 63%|██████▎ | 570M/906M [00:00<00:00, 1.02GB/s] model-00008-of-00008.safetensors: 86%|████████▌ | 780M/906M [00:00<00:00, 1.32GB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 906M/906M [00:01<00:00, 736MB/s]
seyf1elislam-westkunai-h-6316-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, 112MB/s]
seyf1elislam-westkunai-h-6316-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, 6.41MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 34.4MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 51.8MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/916 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 916/916 [00:00<00:00, 7.32MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Downloaded to shared memory in 21.588s
seyf1elislam-westkunai-h-6316-v2-mkmlizer: quantizing model to /dev/shm/model_cache
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Reading /tmp/tmpagv1v3oa/model.safetensors.index.json
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:30, 9.50it/s] Profiling: 5%|▌ | 16/291 [00:00<00:03, 83.43it/s] Profiling: 11%|█▏ | 33/291 [00:00<00:02, 113.16it/s] Profiling: 15%|█▌ | 45/291 [00:00<00:02, 98.98it/s] Profiling: 21%|██ | 60/291 [00:00<00:02, 112.34it/s] Profiling: 26%|██▋ | 77/291 [00:00<00:01, 124.07it/s] Profiling: 31%|███ | 90/291 [00:02<00:07, 25.88it/s] Profiling: 35%|███▌ | 102/291 [00:02<00:05, 33.22it/s] Profiling: 39%|███▉ | 113/291 [00:02<00:04, 40.88it/s] Profiling: 42%|████▏ | 123/291 [00:02<00:03, 46.64it/s] Profiling: 47%|████▋ | 137/291 [00:02<00:02, 59.84it/s] Profiling: 53%|█████▎ | 153/291 [00:02<00:01, 77.15it/s] Profiling: 57%|█████▋ | 166/291 [00:02<00:01, 74.24it/s] Profiling: 62%|██████▏ | 180/291 [00:02<00:01, 85.88it/s] Profiling: 67%|██████▋ | 195/291 [00:03<00:00, 99.61it/s] Profiling: 71%|███████▏ | 208/291 [00:04<00:03, 26.69it/s] Profiling: 76%|███████▌ | 221/291 [00:04<00:02, 34.63it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:01, 43.85it/s] Profiling: 88%|████████▊ | 255/291 [00:04<00:00, 57.37it/s] Profiling: 92%|█████████▏| 267/291 [00:04<00:00, 65.77it/s] Profiling: 96%|█████████▌| 279/291 [00:05<00:00, 64.31it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 55.08it/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: quantized model in 15.383s
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Processed model seyf1elislam/WestKunai-Hermes-7b in 37.800s
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
seyf1elislam-westkunai-h-6316-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/special_tokens_map.json
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/config.json
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/tokenizer.model
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/tokenizer_config.json
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/tokenizer.json
seyf1elislam-westkunai-h-6316-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/seyf1elislam-westkunai-h-6316-v2/mkml_model.tensors
seyf1elislam-westkunai-h-6316-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
seyf1elislam-westkunai-h-6316-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.
seyf1elislam-westkunai-h-6316-v2-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6316-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 13.1MB/s]
seyf1elislam-westkunai-h-6316-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.
seyf1elislam-westkunai-h-6316-v2-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6316-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.21MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 14.5MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 32.9MB/s]
seyf1elislam-westkunai-h-6316-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.
seyf1elislam-westkunai-h-6316-v2-mkmlizer: warnings.warn(
seyf1elislam-westkunai-h-6316-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:28, 50.6MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:02, 446MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:02, 588MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 513MB/s] pytorch_model.bin: 25%|██▍ | 357M/1.44G [00:00<00:01, 603MB/s] pytorch_model.bin: 35%|███▍ | 503M/1.44G [00:00<00:01, 824MB/s] pytorch_model.bin: 52%|█████▏ | 755M/1.44G [00:00<00:00, 1.25GB/s] pytorch_model.bin: 62%|██████▏ | 891M/1.44G [00:01<00:00, 1.24GB/s] pytorch_model.bin: 71%|███████ | 1.03G/1.44G [00:01<00:00, 621MB/s] pytorch_model.bin: 97%|█████████▋| 1.40G/1.44G [00:01<00:00, 1.13GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 884MB/s]
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Saving duration: 0.284s
seyf1elislam-westkunai-h-6316-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.910s
seyf1elislam-westkunai-h-6316-v2-mkmlizer: creating bucket guanaco-reward-models
Job seyf1elislam-westkunai-h-6316-v2-mkmlizer completed after 63.91s with status: succeeded
Stopping job with name seyf1elislam-westkunai-h-6316-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.40s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service seyf1elislam-westkunai-h-6316-v2
Waiting for inference service seyf1elislam-westkunai-h-6316-v2 to be ready
Inference service seyf1elislam-westkunai-h-6316-v2 ready after 40.204657793045044s
Pipeline stage ISVCDeployer completed in 47.50s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4692702293395996s
Received healthy response to inference request in 1.1240723133087158s
Received healthy response to inference request in 0.8896434307098389s
Received healthy response to inference request in 1.1230504512786865s
Received healthy response to inference request in 1.013981819152832s
5 requests
0 failed requests
5th percentile: 0.9145111083984375
10th percentile: 0.9393787860870362
20th percentile: 0.9891141414642334
30th percentile: 1.035795545578003
40th percentile: 1.0794229984283448
50th percentile: 1.1230504512786865
60th percentile: 1.1234591960906983
70th percentile: 1.12386794090271
80th percentile: 1.1931118965148926
90th percentile: 1.331191062927246
95th percentile: 1.4002306461334229
99th percentile: 1.4554623126983643
mean time: 1.1240036487579346
Pipeline stage StressChecker completed in 6.92s
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
seyf1elislam-westkunai-h_6316_v2 status is now deployed due to DeploymentManager action
seyf1elislam-westkunai-h_6316_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of seyf1elislam-westkunai-h_6316_v2
Running pipeline stage ISVCDeleter
Checking if service seyf1elislam-westkunai-h-6316-v2 is running
Tearing down inference service seyf1elislam-westkunai-h-6316-v2
Toredown service seyf1elislam-westkunai-h-6316-v2
Pipeline stage ISVCDeleter completed in 3.71s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key seyf1elislam-westkunai-h-6316-v2/config.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6316-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6316-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6316-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6316-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key seyf1elislam-westkunai-h-6316-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/config.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key seyf1elislam-westkunai-h-6316-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.55s
seyf1elislam-westkunai-h_6316_v2 status is now torndown due to DeploymentManager action