Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-9589-v3-mkmlizer
Waiting for job on cgato-thespice-7b-invert-9589-v3-mkmlizer to finish
cgato-thespice-7b-invert-9589-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ /___/ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ║ ║
cgato-thespice-7b-invert-9589-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-invert-9589-v3-mkmlizer:
.gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 14.7MB/s]
cgato-thespice-7b-invert-9589-v3-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-9589-v3-mkmlizer:
config.json: 0%| | 0.00/653 [00:00<?, ?B/s]
config.json: 100%|██████████| 653/653 [00:00<00:00, 8.10MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer:
generation_config.json: 0%| | 0.00/137 [00:00<?, ?B/s]
generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 1.32MB/s]
cgato-thespice-7b-invert-9589-v3-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<01:48, 45.5MB/s]
model-00001-of-00003.safetensors: 1%| | 31.5M/4.94G [00:00<01:30, 54.0MB/s]
model-00001-of-00003.safetensors: 1%| | 52.4M/4.94G [00:00<01:08, 71.4MB/s]
model-00001-of-00003.safetensors: 3%|▎ | 147M/4.94G [00:00<00:20, 233MB/s]
model-00001-of-00003.safetensors: 5%|▍ | 231M/4.94G [00:01<00:13, 347MB/s]
model-00001-of-00003.safetensors: 6%|▌ | 304M/4.94G [00:01<00:10, 433MB/s]
model-00001-of-00003.safetensors: 8%|▊ | 398M/4.94G [00:01<00:08, 539MB/s]
model-00001-of-00003.safetensors: 11%|█▏ | 566M/4.94G [00:01<00:05, 817MB/s]
model-00001-of-00003.safetensors: 14%|█▎ | 671M/4.94G [00:01<00:05, 796MB/s]
model-00001-of-00003.safetensors: 15%|█▌ | 765M/4.94G [00:01<00:05, 792MB/s]
model-00001-of-00003.safetensors: 18%|█▊ | 870M/4.94G [00:01<00:04, 822MB/s]
model-00001-of-00003.safetensors: 22%|██▏ | 1.10G/4.94G [00:01<00:03, 1.21GB/s]
model-00001-of-00003.safetensors: 27%|██▋ | 1.35G/4.94G [00:01<00:02, 1.56GB/s]
model-00001-of-00003.safetensors: 33%|███▎ | 1.64G/4.94G [00:02<00:01, 1.89GB/s]
model-00001-of-00003.safetensors: 37%|███▋ | 1.84G/4.94G [00:02<00:01, 1.82GB/s]
model-00001-of-00003.safetensors: 41%|████ | 2.03G/4.94G [00:02<00:01, 1.84GB/s]
model-00001-of-00003.safetensors: 47%|████▋ | 2.33G/4.94G [00:02<00:01, 2.13GB/s]
model-00001-of-00003.safetensors: 53%|█████▎ | 2.61G/4.94G [00:02<00:01, 2.31GB/s]
model-00001-of-00003.safetensors: 58%|█████▊ | 2.86G/4.94G [00:02<00:00, 2.32GB/s]
model-00001-of-00003.safetensors: 63%|██████▎ | 3.12G/4.94G [00:02<00:00, 2.40GB/s]
model-00001-of-00003.safetensors: 68%|██████▊ | 3.38G/4.94G [00:02<00:00, 2.13GB/s]
model-00001-of-00003.safetensors: 73%|███████▎ | 3.61G/4.94G [00:03<00:00, 1.84GB/s]
model-00001-of-00003.safetensors: 77%|███████▋ | 3.81G/4.94G [00:03<00:00, 1.79GB/s]
model-00001-of-00003.safetensors: 81%|████████ | 4.02G/4.94G [00:03<00:00, 1.86GB/s]
model-00001-of-00003.safetensors: 85%|████████▌ | 4.22G/4.94G [00:03<00:00, 1.86GB/s]
model-00001-of-00003.safetensors: 96%|█████████▌| 4.73G/4.94G [00:03<00:00, 2.74GB/s]
model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:03<00:00, 1.41GB/s]
cgato-thespice-7b-invert-9589-v3-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<02:31, 32.9MB/s]
model-00002-of-00003.safetensors: 1%| | 41.9M/5.00G [00:00<00:46, 106MB/s]
model-00002-of-00003.safetensors: 1%|▏ | 62.9M/5.00G [00:00<00:38, 128MB/s]
model-00002-of-00003.safetensors: 3%|▎ | 168M/5.00G [00:00<00:13, 364MB/s]
model-00002-of-00003.safetensors: 4%|▍ | 220M/5.00G [00:00<00:17, 277MB/s]
model-00002-of-00003.safetensors: 11%|█▏ | 566M/5.00G [00:01<00:04, 939MB/s]
model-00002-of-00003.safetensors: 26%|██▌ | 1.29G/5.00G [00:01<00:01, 2.38GB/s]
model-00002-of-00003.safetensors: 33%|███▎ | 1.63G/5.00G [00:01<00:01, 1.93GB/s]
model-00002-of-00003.safetensors: 38%|███▊ | 1.90G/5.00G [00:01<00:02, 1.35GB/s]
model-00002-of-00003.safetensors: 42%|████▏ | 2.11G/5.00G [00:01<00:02, 1.36GB/s]
model-00002-of-00003.safetensors: 47%|████▋ | 2.37G/5.00G [00:02<00:01, 1.58GB/s]
model-00002-of-00003.safetensors: 52%|█████▏ | 2.62G/5.00G [00:02<00:01, 1.76GB/s]
model-00002-of-00003.safetensors: 59%|█████▊ | 2.93G/5.00G [00:02<00:01, 2.03GB/s]
model-00002-of-00003.safetensors: 64%|██████▎ | 3.18G/5.00G [00:02<00:00, 2.08GB/s]
model-00002-of-00003.safetensors: 72%|███████▏ | 3.59G/5.00G [00:02<00:00, 2.55GB/s]
model-00002-of-00003.safetensors: 78%|███████▊ | 3.88G/5.00G [00:02<00:00, 2.45GB/s]
model-00002-of-00003.safetensors: 83%|████████▎ | 4.15G/5.00G [00:02<00:00, 2.34GB/s]
model-00002-of-00003.safetensors: 88%|████████▊ | 4.40G/5.00G [00:03<00:00, 1.64GB/s]
model-00002-of-00003.safetensors: 92%|█████████▏| 4.61G/5.00G [00:03<00:00, 1.70GB/s]
model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:03<00:00, 1.56GB/s]
cgato-thespice-7b-invert-9589-v3-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<02:44, 27.5MB/s]
model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:00<00:42, 105MB/s]
model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:00<00:22, 198MB/s]
model-00003-of-00003.safetensors: 4%|▍ | 178M/4.54G [00:00<00:17, 250MB/s]
model-00003-of-00003.safetensors: 8%|▊ | 346M/4.54G [00:01<00:07, 551MB/s]
model-00003-of-00003.safetensors: 26%|██▌ | 1.17G/4.54G [00:01<00:01, 2.34GB/s]
model-00003-of-00003.safetensors: 33%|███▎ | 1.51G/4.54G [00:01<00:01, 2.32GB/s]
model-00003-of-00003.safetensors: 40%|███▉ | 1.81G/4.54G [00:01<00:01, 1.66GB/s]
model-00003-of-00003.safetensors: 45%|████▌ | 2.06G/4.54G [00:01<00:01, 1.39GB/s]
model-00003-of-00003.safetensors: 51%|█████ | 2.30G/4.54G [00:01<00:01, 1.55GB/s]
model-00003-of-00003.safetensors: 58%|█████▊ | 2.61G/4.54G [00:02<00:01, 1.86GB/s]
model-00003-of-00003.safetensors: 65%|██████▌ | 2.96G/4.54G [00:02<00:00, 2.13GB/s]
model-00003-of-00003.safetensors: 71%|███████ | 3.22G/4.54G [00:02<00:00, 1.81GB/s]
model-00003-of-00003.safetensors: 76%|███████▌ | 3.44G/4.54G [00:02<00:00, 1.78GB/s]
model-00003-of-00003.safetensors: 80%|████████ | 3.65G/4.54G [00:02<00:00, 1.74GB/s]
model-00003-of-00003.safetensors: 93%|█████████▎| 4.20G/4.54G [00:02<00:00, 2.60GB/s]
model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:02<00:00, 1.61GB/s]
cgato-thespice-7b-invert-9589-v3-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, 128MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer:
special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 4.81MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer:
tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 65.7MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer:
tokenizer_config.json: 0%| | 0.00/982 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 982/982 [00:00<00:00, 7.41MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer: Downloaded to shared memory in 16.064s
cgato-thespice-7b-invert-9589-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v3-mkmlizer: Reading /tmp/tmppz7frctl/model.safetensors.index.json
cgato-thespice-7b-invert-9589-v3-mkmlizer:
Profiling: 0%| | 0/291 [00:00<?, ?it/s]
Profiling: 0%| | 1/291 [00:01<06:16, 1.30s/it]
Profiling: 4%|▍ | 13/291 [00:01<00:22, 12.40it/s]
Profiling: 8%|▊ | 24/291 [00:01<00:10, 24.32it/s]
Profiling: 12%|█▏ | 36/291 [00:01<00:06, 37.81it/s]
Profiling: 16%|█▌ | 47/291 [00:01<00:04, 48.91it/s]
Profiling: 22%|██▏ | 63/291 [00:01<00:03, 69.27it/s]
Profiling: 26%|██▌ | 75/291 [00:01<00:02, 77.56it/s]
Profiling: 30%|██▉ | 86/291 [00:02<00:02, 84.23it/s]
Profiling: 33%|███▎ | 97/291 [00:02<00:02, 89.64it/s]
Profiling: 37%|███▋ | 108/291 [00:02<00:03, 60.80it/s]
Profiling: 41%|████ | 120/291 [00:02<00:02, 71.90it/s]
Profiling: 45%|████▍ | 130/291 [00:02<00:02, 74.92it/s]
Profiling: 48%|████▊ | 140/291 [00:02<00:01, 79.88it/s]
Profiling: 54%|█████▎ | 156/291 [00:02<00:01, 95.31it/s]
Profiling: 57%|█████▋ | 167/291 [00:03<00:01, 91.82it/s]
Profiling: 63%|██████▎ | 183/291 [00:03<00:01, 106.72it/s]
Profiling: 67%|██████▋ | 195/291 [00:03<00:00, 104.40it/s]
Profiling: 71%|███████ | 206/291 [00:04<00:03, 21.97it/s]
Profiling: 74%|███████▎ | 214/291 [00:04<00:02, 25.96it/s]
Profiling: 79%|███████▊ | 229/291 [00:05<00:01, 36.89it/s]
Profiling: 82%|████████▏ | 239/291 [00:05<00:01, 43.51it/s]
Profiling: 86%|████████▌ | 249/291 [00:05<00:00, 50.11it/s]
Profiling: 90%|████████▉ | 261/291 [00:05<00:00, 61.03it/s]
Profiling: 93%|█████████▎| 271/291 [00:05<00:00, 68.15it/s]
Profiling: 97%|█████████▋| 283/291 [00:05<00:00, 75.60it/s]
Profiling: 100%|██████████| 291/291 [00:05<00:00, 49.20it/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer: quantized model in 16.527s
cgato-thespice-7b-invert-9589-v3-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.1.3 in 33.475s
cgato-thespice-7b-invert-9589-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-9589-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-9589-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/config.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/special_tokens_map.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/tokenizer.model
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/tokenizer_config.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/tokenizer.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v3/mkml_model.tensors
cgato-thespice-7b-invert-9589-v3-mkmlizer:
vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 14.6MB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer:
tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 30.9MB/s]
cgato-thespice-7b-invert-9589-v3-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-9589-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-invert-9589-v3-mkmlizer:
pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s]
pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:21, 67.3MB/s]
pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:23, 61.0MB/s]
pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:07, 179MB/s]
pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:02, 555MB/s]
pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 583MB/s]
pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:01<00:03, 304MB/s]
pytorch_model.bin: 31%|███ | 451M/1.44G [00:01<00:02, 430MB/s]
pytorch_model.bin: 67%|██████▋ | 965M/1.44G [00:01<00:00, 1.35GB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.01GB/s]
cgato-thespice-7b-invert-9589-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-9589-v3-mkmlizer: Saving duration: 0.243s
cgato-thespice-7b-invert-9589-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.066s
cgato-thespice-7b-invert-9589-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-9589-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-9589-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/special_tokens_map.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/tokenizer_config.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/config.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/vocab.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/merges.txt
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/tokenizer.json
cgato-thespice-7b-invert-9589-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v3_reward/reward.tensors
Job cgato-thespice-7b-invert-9589-v3-mkmlizer completed after 64.22s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-9589-v3-mkmlizer
Pipeline stage MKMLizer completed in 67.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-invert-9589-v3
Waiting for inference service cgato-thespice-7b-invert-9589-v3 to be ready
Inference service cgato-thespice-7b-invert-9589-v3 ready after 40.663962841033936s
Pipeline stage ISVCDeployer completed in 47.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.798095464706421s
Received healthy response to inference request in 1.2252988815307617s
Received healthy response to inference request in 1.183807611465454s
Received healthy response to inference request in 1.1834638118743896s
Received healthy response to inference request in 1.3807075023651123s
5 requests
0 failed requests
5th percentile: 1.1835325717926026
10th percentile: 1.1836013317108154
20th percentile: 1.1837388515472411
30th percentile: 1.1921058654785157
40th percentile: 1.2087023735046387
50th percentile: 1.2252988815307617
60th percentile: 1.287462329864502
70th percentile: 1.3496257781982421
80th percentile: 1.4641850948333741
90th percentile: 1.6311402797698975
95th percentile: 1.714617872238159
99th percentile: 1.7813999462127685
mean time: 1.3542746543884276
Pipeline stage StressChecker completed in 8.50s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-invert_9589_v3 status is now deployed due to DeploymentManager action
cgato-thespice-7b-invert_9589_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-invert_9589_v3
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-invert-9589-v3 is running
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Tearing down inference service cgato-thespice-7b-invert-9589-v3
Toredown service cgato-thespice-7b-invert-9589-v3
admin requested tearing down of cgato-thespice-7b-quick-_5889_v2
Running pipeline stage ISVCDeleter
Pipeline stage ISVCDeleter completed in 4.52s
Running pipeline stage MKMLModelDeleter
Checking if service cgato-thespice-7b-quick-5889-v2 is running
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v3/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-invert-9589-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Tearing down inference service cgato-thespice-7b-quick-5889-v2
Deleting key cgato-thespice-7b-invert-9589-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-invert-9589-v3_reward/merges.txt from bucket guanaco-reward-models
Toredown service cgato-thespice-7b-quick-5889-v2
Deleting key cgato-thespice-7b-invert-9589-v3_reward/reward.tensors from bucket guanaco-reward-models
Pipeline stage ISVCDeleter completed in 4.40s
Deleting key cgato-thespice-7b-invert-9589-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Running pipeline stage MKMLModelDeleter
Deleting key cgato-thespice-7b-invert-9589-v3_reward/tokenizer.json from bucket guanaco-reward-models
Cleaning model data from S3
Deleting key cgato-thespice-7b-invert-9589-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-invert-9589-v3_reward/vocab.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-5889-v2/config.json from bucket guanaco-mkml-models
Pipeline stage MKMLModelDeleter completed in 5.04s
Deleting key cgato-thespice-7b-quick-5889-v2/mkml_model.tensors from bucket guanaco-mkml-models
cgato-thespice-7b-invert_9589_v3 status is now torndown due to DeploymentManager action