submission_id: cgato-thespice-7b-ft-dc1-ot_v6
developer_uid: c.gato
best_of: 16
celo_rating: 1189.84
display_name: cgato-thespice-7b-ft-dc1-ot_v6
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} responds in one.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/TheSpice-7b-FT-DC1-OT
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-DC1
model_name: cgato-thespice-7b-ft-dc1-ot_v6
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-FT-DC1-OT
model_size: 7B
num_battles: 6267
num_wins: 3530
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} gives single line responses.\n{bot_name} gives short responses.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-16T12:58:39+00:00
us_pacific_date: 2024-04-16
win_ratio: 0.5632679112813148
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer
Waiting for job on cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer to finish
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ║ ║
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 13.6MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 282kB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 6.11MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.39MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/4.94G [00:00<01:45, 46.7MB/s] model-00001-of-00003.safetensors: 1%| | 41.9M/4.94G [00:00<00:50, 96.2MB/s] model-00001-of-00003.safetensors: 2%|▏ | 115M/4.94G [00:00<00:26, 181MB/s] model-00001-of-00003.safetensors: 3%|▎ | 136M/4.94G [00:01<00:34, 138MB/s] model-00001-of-00003.safetensors: 4%|▍ | 220M/4.94G [00:01<00:18, 251MB/s] model-00001-of-00003.safetensors: 9%|▉ | 440M/4.94G [00:01<00:07, 630MB/s] model-00001-of-00003.safetensors: 17%|█▋ | 839M/4.94G [00:01<00:03, 1.36GB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.08G/4.94G [00:01<00:02, 1.59GB/s] model-00001-of-00003.safetensors: 26%|██▌ | 1.29G/4.94G [00:02<00:04, 798MB/s] model-00001-of-00003.safetensors: 30%|██▉ | 1.47G/4.94G [00:02<00:03, 935MB/s] model-00001-of-00003.safetensors: 36%|███▌ | 1.77G/4.94G [00:02<00:02, 1.28GB/s] model-00001-of-00003.safetensors: 40%|████ | 1.99G/4.94G [00:02<00:02, 1.45GB/s] model-00001-of-00003.safetensors: 45%|████▍ | 2.20G/4.94G [00:02<00:02, 1.37GB/s] model-00001-of-00003.safetensors: 48%|████▊ | 2.39G/4.94G [00:02<00:02, 958MB/s] model-00001-of-00003.safetensors: 52%|█████▏ | 2.57G/4.94G [00:02<00:02, 1.09GB/s] model-00001-of-00003.safetensors: 57%|█████▋ | 2.83G/4.94G [00:03<00:01, 1.37GB/s] model-00001-of-00003.safetensors: 61%|██████▏ | 3.03G/4.94G [00:03<00:01, 1.49GB/s] model-00001-of-00003.safetensors: 65%|██████▌ | 3.22G/4.94G [00:03<00:01, 1.42GB/s] model-00001-of-00003.safetensors: 69%|██████▊ | 3.39G/4.94G [00:03<00:01, 1.03GB/s] model-00001-of-00003.safetensors: 71%|███████▏ | 3.52G/4.94G [00:03<00:01, 1.08GB/s] model-00001-of-00003.safetensors: 76%|███████▋ | 3.77G/4.94G [00:03<00:00, 1.37GB/s] model-00001-of-00003.safetensors: 82%|████████▏ | 4.07G/4.94G [00:03<00:00, 1.73GB/s] model-00001-of-00003.safetensors: 87%|████████▋ | 4.28G/4.94G [00:04<00:00, 1.67GB/s] model-00001-of-00003.safetensors: 90%|█████████ | 4.47G/4.94G [00:04<00:00, 1.64GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:04<00:00, 1.15GB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/5.00G [00:00<03:34, 23.2MB/s] model-00002-of-00003.safetensors: 1%|▏ | 73.4M/5.00G [00:00<00:29, 169MB/s] model-00002-of-00003.safetensors: 4%|▍ | 199M/5.00G [00:00<00:10, 443MB/s] model-00002-of-00003.safetensors: 6%|▌ | 283M/5.00G [00:00<00:08, 531MB/s] model-00002-of-00003.safetensors: 7%|▋ | 367M/5.00G [00:01<00:10, 435MB/s] model-00002-of-00003.safetensors: 9%|▊ | 430M/5.00G [00:01<00:10, 445MB/s] model-00002-of-00003.safetensors: 12%|█▏ | 577M/5.00G [00:01<00:06, 661MB/s] model-00002-of-00003.safetensors: 16%|█▌ | 786M/5.00G [00:01<00:04, 998MB/s] model-00002-of-00003.safetensors: 19%|█▉ | 965M/5.00G [00:01<00:03, 1.19GB/s] model-00002-of-00003.safetensors: 24%|██▍ | 1.20G/5.00G [00:01<00:02, 1.45GB/s] model-00002-of-00003.safetensors: 27%|██▋ | 1.37G/5.00G [00:01<00:02, 1.53GB/s] model-00002-of-00003.safetensors: 31%|███ | 1.54G/5.00G [00:02<00:03, 925MB/s] model-00002-of-00003.safetensors: 34%|███▎ | 1.68G/5.00G [00:02<00:03, 992MB/s] model-00002-of-00003.safetensors: 36%|███▋ | 1.81G/5.00G [00:02<00:02, 1.07GB/s] model-00002-of-00003.safetensors: 40%|████ | 2.02G/5.00G [00:02<00:02, 1.26GB/s] model-00002-of-00003.safetensors: 44%|████▍ | 2.19G/5.00G [00:02<00:02, 1.35GB/s] model-00002-of-00003.safetensors: 47%|████▋ | 2.35G/5.00G [00:02<00:02, 1.21GB/s] model-00002-of-00003.safetensors: 50%|████▉ | 2.49G/5.00G [00:02<00:02, 1.15GB/s] model-00002-of-00003.safetensors: 52%|█████▏ | 2.61G/5.00G [00:02<00:02, 1.06GB/s] model-00002-of-00003.safetensors: 56%|█████▌ | 2.81G/5.00G [00:03<00:01, 1.25GB/s] model-00002-of-00003.safetensors: 59%|█████▉ | 2.96G/5.00G [00:03<00:01, 1.27GB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 3.14G/5.00G [00:03<00:01, 1.37GB/s] model-00002-of-00003.safetensors: 66%|██████▌ | 3.28G/5.00G [00:03<00:01, 1.30GB/s] model-00002-of-00003.safetensors: 68%|██████▊ | 3.42G/5.00G [00:03<00:01, 1.28GB/s] model-00002-of-00003.safetensors: 71%|███████ | 3.55G/5.00G [00:03<00:01, 1.13GB/s] model-00002-of-00003.safetensors: 74%|███████▎ | 3.68G/5.00G [00:03<00:01, 1.00GB/s] model-00002-of-00003.safetensors: 76%|███████▌ | 3.81G/5.00G [00:03<00:01, 1.03GB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.92G/5.00G [00:04<00:01, 1.05GB/s] model-00002-of-00003.safetensors: 81%|████████ | 4.06G/5.00G [00:04<00:00, 1.12GB/s] model-00002-of-00003.safetensors: 86%|████████▌ | 4.31G/5.00G [00:04<00:00, 1.44GB/s] model-00002-of-00003.safetensors: 90%|████████▉ | 4.50G/5.00G [00:04<00:00, 1.55GB/s] model-00002-of-00003.safetensors: 99%|█████████▊| 4.93G/5.00G [00:04<00:00, 2.30GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:04<00:00, 1.11GB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/4.54G [00:00<02:14, 33.7MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:00<01:01, 73.4MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:00<01:44, 43.2MB/s] model-00003-of-00003.safetensors: 2%|▏ | 73.4M/4.54G [00:01<00:58, 75.9MB/s] model-00003-of-00003.safetensors: 3%|▎ | 136M/4.54G [00:01<00:25, 170MB/s] model-00003-of-00003.safetensors: 9%|▉ | 398M/4.54G [00:01<00:06, 646MB/s] model-00003-of-00003.safetensors: 19%|█▉ | 860M/4.54G [00:01<00:02, 1.50GB/s] model-00003-of-00003.safetensors: 24%|██▍ | 1.08G/4.54G [00:01<00:02, 1.60GB/s] model-00003-of-00003.safetensors: 28%|██▊ | 1.29G/4.54G [00:02<00:03, 881MB/s] model-00003-of-00003.safetensors: 34%|███▍ | 1.56G/4.54G [00:02<00:02, 1.16GB/s] model-00003-of-00003.safetensors: 40%|████ | 1.82G/4.54G [00:02<00:01, 1.40GB/s] model-00003-of-00003.safetensors: 45%|████▌ | 2.04G/4.54G [00:02<00:01, 1.56GB/s] model-00003-of-00003.safetensors: 50%|████▉ | 2.26G/4.54G [00:02<00:02, 1.10GB/s] model-00003-of-00003.safetensors: 54%|█████▎ | 2.43G/4.54G [00:02<00:01, 1.09GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.62G/4.54G [00:02<00:01, 1.24GB/s] model-00003-of-00003.safetensors: 64%|██████▍ | 2.90G/4.54G [00:03<00:01, 1.52GB/s] model-00003-of-00003.safetensors: 68%|██████▊ | 3.09G/4.54G [00:03<00:01, 1.39GB/s] model-00003-of-00003.safetensors: 72%|███████▏ | 3.26G/4.54G [00:03<00:01, 1.07GB/s] model-00003-of-00003.safetensors: 75%|███████▍ | 3.40G/4.54G [00:03<00:01, 1.01GB/s] model-00003-of-00003.safetensors: 79%|███████▉ | 3.61G/4.54G [00:03<00:00, 1.22GB/s] model-00003-of-00003.safetensors: 86%|████████▌ | 3.89G/4.54G [00:03<00:00, 1.56GB/s] model-00003-of-00003.safetensors: 93%|█████████▎| 4.22G/4.54G [00:03<00:00, 1.95GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 885MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-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, 150MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 3.67MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 51.1MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 13.6MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Downloaded to shared memory in 15.818s
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Reading /tmp/tmpnpqsi4gd/model.safetensors.index.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: quantized model in 18.838s
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Processed model cgato/TheSpice-7b-FT-DC1-OT in 36.182s
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/tokenizer_config.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/config.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/tokenizer.model
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/special_tokens_map.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/tokenizer.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-dc1-ot-v6/mkml_model.tensors
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:26, 54.6MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:14, 99.3MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:00<00:03, 375MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:04, 265MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:06, 190MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:01<00:03, 291MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:01<00:02, 394MB/s] pytorch_model.bin: 70%|███████ | 1.02G/1.44G [00:01<00:00, 1.52GB/s] pytorch_model.bin: 93%|█████████▎| 1.35G/1.44G [00:01<00:00, 1.92GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 278MB/s]
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Saving duration: 0.357s
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.881s
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/config.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/tokenizer_config.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/merges.txt
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/special_tokens_map.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/vocab.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/tokenizer.json
cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-dc1-ot-v6_reward/reward.tensors
Job cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer completed after 73.48s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-dc1-ot-v6-mkmlizer
Pipeline stage MKMLizer completed in 76.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-dc1-ot-v6
Waiting for inference service cgato-thespice-7b-ft-dc1-ot-v6 to be ready
Inference service cgato-thespice-7b-ft-dc1-ot-v6 ready after 40.257177114486694s
Pipeline stage ISVCDeployer completed in 48.02s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6422967910766602s
Received healthy response to inference request in 1.0826382637023926s
Received healthy response to inference request in 1.1513643264770508s
Received healthy response to inference request in 1.053260326385498s
Received healthy response to inference request in 1.1862223148345947s
5 requests
0 failed requests
5th percentile: 1.059135913848877
10th percentile: 1.0650115013122559
20th percentile: 1.0767626762390137
30th percentile: 1.0963834762573241
40th percentile: 1.1238739013671875
50th percentile: 1.1513643264770508
60th percentile: 1.1653075218200684
70th percentile: 1.179250717163086
80th percentile: 1.2774372100830078
90th percentile: 1.459867000579834
95th percentile: 1.551081895828247
99th percentile: 1.6240538120269776
mean time: 1.2231564044952392
Pipeline stage StressChecker completed in 6.93s
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
cgato-thespice-7b-ft-dc1-ot_v6 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-dc1-ot_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-dc1-ot_v6
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-dc1-ot-v6 is running
Tearing down inference service cgato-thespice-7b-ft-dc1-ot-v6
Toredown service cgato-thespice-7b-ft-dc1-ot-v6
Pipeline stage ISVCDeleter completed in 4.69s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-dc1-ot-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.06s
cgato-thespice-7b-ft-dc1-ot_v6 status is now torndown due to DeploymentManager action