submission_id: cgato-thespice-7b-invert_1522_v6
developer_uid: c.gato
best_of: 16
celo_rating: 1175.53
display_name: cgato-thespice-7b-invert_1522_v6
family_friendly_score: 0.0
formatter: {'memory_template': 'You are {bot_name}. \n {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': 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}
is_internal_developer: False
language_model: cgato/TheSpice-7b-InvertedInstruct-v0.2.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-Invert
model_name: cgato-thespice-7b-invert_1522_v6
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-InvertedInstruct-v0.2.3
model_size: 7B
num_battles: 5612
num_wins: 3030
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: 2024-04-16T22:31:47+00:00
us_pacific_date: 2024-04-16
win_ratio: 0.5399144689950107
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-1522-v6-mkmlizer
Waiting for job on cgato-thespice-7b-invert-1522-v6-mkmlizer to finish
cgato-thespice-7b-invert-1522-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ /___/ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ║ ║
cgato-thespice-7b-invert-1522-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-invert-1522-v6-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.4MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 370kB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: config.json: 0%| | 0.00/653 [00:00<?, ?B/s] config.json: 100%|██████████| 653/653 [00:00<00:00, 8.45MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.65MB/s]
cgato-thespice-7b-invert-1522-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<02:17, 35.9MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:00<01:30, 54.2MB/s] model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:00<01:11, 68.3MB/s] model-00001-of-00003.safetensors: 2%|▏ | 94.4M/4.94G [00:00<00:21, 229MB/s] model-00001-of-00003.safetensors: 5%|▍ | 241M/4.94G [00:00<00:08, 547MB/s] model-00001-of-00003.safetensors: 8%|▊ | 409M/4.94G [00:00<00:05, 849MB/s] model-00001-of-00003.safetensors: 10%|█ | 514M/4.94G [00:00<00:05, 846MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 629M/4.94G [00:01<00:04, 905MB/s] model-00001-of-00003.safetensors: 15%|█▌ | 765M/4.94G [00:01<00:04, 1.03GB/s] model-00001-of-00003.safetensors: 22%|██▏ | 1.07G/4.94G [00:01<00:02, 1.56GB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.31G/4.94G [00:01<00:02, 1.80GB/s] model-00001-of-00003.safetensors: 32%|███▏ | 1.56G/4.94G [00:01<00:01, 1.99GB/s] model-00001-of-00003.safetensors: 36%|███▋ | 1.80G/4.94G [00:01<00:01, 1.96GB/s] model-00001-of-00003.safetensors: 41%|████ | 2.00G/4.94G [00:01<00:02, 1.34GB/s] model-00001-of-00003.safetensors: 44%|████▍ | 2.17G/4.94G [00:02<00:02, 1.34GB/s] model-00001-of-00003.safetensors: 49%|████▉ | 2.43G/4.94G [00:02<00:01, 1.62GB/s] model-00001-of-00003.safetensors: 54%|█████▍ | 2.68G/4.94G [00:02<00:01, 1.83GB/s] model-00001-of-00003.safetensors: 59%|█████▊ | 2.89G/4.94G [00:02<00:01, 1.72GB/s] model-00001-of-00003.safetensors: 62%|██████▏ | 3.08G/4.94G [00:02<00:01, 1.69GB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 3.27G/4.94G [00:02<00:01, 1.38GB/s] model-00001-of-00003.safetensors: 69%|██████▉ | 3.43G/4.94G [00:02<00:01, 1.16GB/s] model-00001-of-00003.safetensors: 72%|███████▏ | 3.57G/4.94G [00:03<00:01, 1.05GB/s] model-00001-of-00003.safetensors: 75%|███████▍ | 3.69G/4.94G [00:03<00:01, 1.06GB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.10G/4.94G [00:03<00:00, 1.72GB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 4.39G/4.94G [00:03<00:00, 2.01GB/s] model-00001-of-00003.safetensors: 94%|█████████▎| 4.63G/4.94G [00:03<00:00, 2.09GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:03<00:00, 2.18GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:03<00:00, 1.34GB/s]
cgato-thespice-7b-invert-1522-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<02:10, 38.1MB/s] model-00002-of-00003.safetensors: 1%| | 31.5M/5.00G [00:00<00:56, 88.6MB/s] model-00002-of-00003.safetensors: 3%|▎ | 147M/5.00G [00:00<00:12, 402MB/s] model-00002-of-00003.safetensors: 6%|▌ | 294M/5.00G [00:00<00:06, 714MB/s] model-00002-of-00003.safetensors: 8%|▊ | 409M/5.00G [00:00<00:05, 835MB/s] model-00002-of-00003.safetensors: 10%|█ | 514M/5.00G [00:00<00:05, 892MB/s] model-00002-of-00003.safetensors: 13%|█▎ | 661M/5.00G [00:00<00:04, 1.01GB/s] model-00002-of-00003.safetensors: 16%|█▌ | 776M/5.00G [00:01<00:04, 1.01GB/s] model-00002-of-00003.safetensors: 18%|█▊ | 881M/5.00G [00:01<00:04, 944MB/s] model-00002-of-00003.safetensors: 20%|██ | 1.02G/5.00G [00:01<00:03, 1.06GB/s] model-00002-of-00003.safetensors: 24%|██▍ | 1.20G/5.00G [00:01<00:03, 1.25GB/s] model-00002-of-00003.safetensors: 27%|██▋ | 1.36G/5.00G [00:01<00:02, 1.35GB/s] model-00002-of-00003.safetensors: 31%|███ | 1.53G/5.00G [00:01<00:02, 1.41GB/s] model-00002-of-00003.safetensors: 35%|███▌ | 1.76G/5.00G [00:01<00:01, 1.66GB/s] model-00002-of-00003.safetensors: 39%|███▉ | 1.94G/5.00G [00:01<00:01, 1.65GB/s] model-00002-of-00003.safetensors: 46%|████▌ | 2.29G/5.00G [00:01<00:01, 2.17GB/s] model-00002-of-00003.safetensors: 50%|█████ | 2.51G/5.00G [00:02<00:01, 2.01GB/s] model-00002-of-00003.safetensors: 54%|█████▍ | 2.72G/5.00G [00:02<00:01, 1.75GB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 2.90G/5.00G [00:02<00:01, 1.53GB/s] model-00002-of-00003.safetensors: 61%|██████▏ | 3.07G/5.00G [00:02<00:01, 1.55GB/s] model-00002-of-00003.safetensors: 65%|██████▌ | 3.26G/5.00G [00:02<00:01, 1.63GB/s] model-00002-of-00003.safetensors: 69%|██████▉ | 3.44G/5.00G [00:02<00:00, 1.62GB/s] model-00002-of-00003.safetensors: 72%|███████▏ | 3.61G/5.00G [00:02<00:01, 1.34GB/s] model-00002-of-00003.safetensors: 75%|███████▌ | 3.75G/5.00G [00:02<00:00, 1.35GB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.90G/5.00G [00:03<00:00, 1.34GB/s] model-00002-of-00003.safetensors: 83%|████████▎ | 4.13G/5.00G [00:03<00:00, 1.56GB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 4.36G/5.00G [00:03<00:00, 1.76GB/s] model-00002-of-00003.safetensors: 92%|█████████▏| 4.62G/5.00G [00:03<00:00, 1.98GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:05<00:00, 360MB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:05<00:00, 886MB/s]
cgato-thespice-7b-invert-1522-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<02:21, 32.0MB/s] model-00003-of-00003.safetensors: 1%| | 31.5M/4.54G [00:00<00:55, 81.7MB/s] model-00003-of-00003.safetensors: 1%| | 52.4M/4.54G [00:00<00:42, 105MB/s] model-00003-of-00003.safetensors: 2%|▏ | 83.9M/4.54G [00:00<00:35, 126MB/s] model-00003-of-00003.safetensors: 6%|▌ | 252M/4.54G [00:00<00:08, 483MB/s] model-00003-of-00003.safetensors: 19%|█▉ | 881M/4.54G [00:00<00:01, 1.92GB/s] model-00003-of-00003.safetensors: 25%|██▌ | 1.14G/4.54G [00:01<00:01, 1.82GB/s] model-00003-of-00003.safetensors: 30%|███ | 1.37G/4.54G [00:01<00:01, 1.74GB/s] model-00003-of-00003.safetensors: 35%|███▍ | 1.58G/4.54G [00:01<00:02, 1.29GB/s] model-00003-of-00003.safetensors: 40%|████ | 1.84G/4.54G [00:01<00:02, 1.18GB/s] model-00003-of-00003.safetensors: 51%|█████ | 2.31G/4.54G [00:01<00:01, 1.79GB/s] model-00003-of-00003.safetensors: 56%|█████▌ | 2.55G/4.54G [00:02<00:01, 1.56GB/s] model-00003-of-00003.safetensors: 61%|██████ | 2.76G/4.54G [00:02<00:01, 1.47GB/s] model-00003-of-00003.safetensors: 65%|██████▌ | 2.97G/4.54G [00:02<00:00, 1.58GB/s] model-00003-of-00003.safetensors: 73%|███████▎ | 3.29G/4.54G [00:02<00:00, 1.92GB/s] model-00003-of-00003.safetensors: 78%|███████▊ | 3.52G/4.54G [00:02<00:00, 1.72GB/s] model-00003-of-00003.safetensors: 82%|████████▏ | 3.72G/4.54G [00:02<00:00, 1.78GB/s] model-00003-of-00003.safetensors: 86%|████████▋ | 3.92G/4.54G [00:02<00:00, 1.76GB/s] model-00003-of-00003.safetensors: 96%|█████████▌| 4.36G/4.54G [00:03<00:00, 2.37GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:03<00:00, 1.47GB/s]
cgato-thespice-7b-invert-1522-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, 143MB/s]
cgato-thespice-7b-invert-1522-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, 5.89MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 59.3MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 13.0MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: Downloaded to shared memory in 19.816s
cgato-thespice-7b-invert-1522-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-1522-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-1522-v6-mkmlizer: Reading /tmp/tmp812i9qrz/model.safetensors.index.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<07:10, 1.48s/it] Profiling: 4%|▍ | 12/291 [00:01<00:27, 10.27it/s] Profiling: 8%|▊ | 22/291 [00:01<00:13, 20.24it/s] Profiling: 12%|█▏ | 36/291 [00:01<00:07, 36.23it/s] Profiling: 16%|█▌ | 47/291 [00:01<00:05, 46.71it/s] Profiling: 20%|█▉ | 57/291 [00:02<00:04, 56.37it/s] Profiling: 25%|██▍ | 72/291 [00:02<00:02, 74.42it/s] Profiling: 29%|██▉ | 84/291 [00:02<00:02, 81.42it/s] Profiling: 34%|███▎ | 98/291 [00:02<00:03, 58.48it/s] Profiling: 38%|███▊ | 111/291 [00:02<00:02, 68.66it/s] Profiling: 42%|████▏ | 122/291 [00:02<00:02, 74.52it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 90.90it/s] Profiling: 52%|█████▏ | 150/291 [00:03<00:01, 94.03it/s] Profiling: 57%|█████▋ | 165/291 [00:03<00:01, 105.22it/s] Profiling: 61%|██████ | 177/291 [00:03<00:01, 104.13it/s] Profiling: 66%|██████▌ | 192/291 [00:03<00:00, 113.14it/s] Profiling: 70%|███████ | 204/291 [00:05<00:04, 21.49it/s] Profiling: 73%|███████▎ | 213/291 [00:05<00:03, 25.50it/s] Profiling: 77%|███████▋ | 225/291 [00:05<00:01, 33.36it/s] Profiling: 82%|████████▏ | 238/291 [00:05<00:01, 43.56it/s] Profiling: 86%|████████▌ | 249/291 [00:05<00:00, 48.41it/s] Profiling: 89%|████████▉ | 259/291 [00:05<00:00, 54.22it/s] Profiling: 94%|█████████▍| 274/291 [00:05<00:00, 69.40it/s] Profiling: 98%|█████████▊| 285/291 [00:06<00:00, 67.82it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 46.06it/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: quantized model in 18.010s
cgato-thespice-7b-invert-1522-v6-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.2.3 in 39.078s
cgato-thespice-7b-invert-1522-v6-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-1522-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-1522-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/config.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/tokenizer_config.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/tokenizer.model
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/special_tokens_map.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/tokenizer.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-1522-v6/mkml_model.tensors
cgato-thespice-7b-invert-1522-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-invert-1522-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-invert-1522-v6-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-1522-v6-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.87MB/s]
cgato-thespice-7b-invert-1522-v6-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.
cgato-thespice-7b-invert-1522-v6-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-1522-v6-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]
cgato-thespice-7b-invert-1522-v6-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 77.2MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 33.6MB/s]
cgato-thespice-7b-invert-1522-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-invert-1522-v6-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-1522-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:24, 57.6MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:12, 117MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:03, 423MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:01<00:08, 156MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:01<00:07, 172MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:01<00:05, 211MB/s] pytorch_model.bin: 33%|███▎ | 472M/1.44G [00:01<00:01, 560MB/s] pytorch_model.bin: 70%|███████ | 1.02G/1.44G [00:01<00:00, 1.57GB/s] pytorch_model.bin: 94%|█████████▎| 1.35G/1.44G [00:01<00:00, 1.91GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 279MB/s]
cgato-thespice-7b-invert-1522-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-1522-v6-mkmlizer: Saving duration: 0.288s
cgato-thespice-7b-invert-1522-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.754s
cgato-thespice-7b-invert-1522-v6-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-1522-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-1522-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/special_tokens_map.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/tokenizer_config.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/config.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/merges.txt
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/vocab.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/tokenizer.json
cgato-thespice-7b-invert-1522-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-1522-v6_reward/reward.tensors
Job cgato-thespice-7b-invert-1522-v6-mkmlizer completed after 74.92s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-1522-v6-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 cgato-thespice-7b-invert-1522-v6
Waiting for inference service cgato-thespice-7b-invert-1522-v6 to be ready
Inference service cgato-thespice-7b-invert-1522-v6 ready after 40.279807329177856s
Pipeline stage ISVCDeployer completed in 47.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.715148687362671s
Received healthy response to inference request in 1.170902967453003s
Received healthy response to inference request in 1.1633970737457275s
Received healthy response to inference request in 1.192138671875s
Received healthy response to inference request in 1.1915874481201172s
5 requests
0 failed requests
5th percentile: 1.1648982524871827
10th percentile: 1.1663994312286377
20th percentile: 1.1694017887115478
30th percentile: 1.1750398635864259
40th percentile: 1.1833136558532715
50th percentile: 1.1915874481201172
60th percentile: 1.1918079376220703
70th percentile: 1.1920284271240233
80th percentile: 1.2967406749725343
90th percentile: 1.5059446811676025
95th percentile: 1.6105466842651366
99th percentile: 1.694228286743164
mean time: 1.2866349697113038
Pipeline stage StressChecker completed in 7.31s
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 0.09s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-invert_1522_v6 status is now deployed due to DeploymentManager action
cgato-thespice-7b-invert_1522_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-invert_1522_v6
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-invert-1522-v6 is running
Tearing down inference service cgato-thespice-7b-invert-1522-v6
Toredown service cgato-thespice-7b-invert-1522-v6
Pipeline stage ISVCDeleter completed in 5.22s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-1522-v6/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v6/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v6/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-1522-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-1522-v6_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-1522-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.72s
cgato-thespice-7b-invert_1522_v6 status is now torndown due to DeploymentManager action