submission_id: cgato-thespice-7b-v0-1_v4
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSpice-7b-v0.1
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': '{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}:'}
reward_formatter: {'memory_template': '{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}:'}
timestamp: 2024-03-18T01:36:38+00:00
model_name: TheSpice-NP
model_eval_status: success
safety_score: 0.61
entertaining: 7.24
stay_in_character: 8.33
user_preference: 7.52
double_thumbs_up: 841
thumbs_up: 1284
thumbs_down: 606
num_battles: 67444
num_wins: 35215
win_ratio: 0.5221368839333372
celo_rating: 1172.64
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-v0-1-v4-mkmlizer
Waiting for job on cgato-thespice-7b-v0-1-v4-mkmlizer to finish
cgato-thespice-7b-v0-1-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ /___/ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-7b-v0-1-v4-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.7MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: README.md: 0%| | 0.00/30.0 [00:00<?, ?B/s] README.md: 100%|██████████| 30.0/30.0 [00:00<00:00, 353kB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: config.json: 0%| | 0.00/643 [00:00<?, ?B/s] config.json: 100%|██████████| 643/643 [00:00<00:00, 8.17MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: generation_config.json: 0%| | 0.00/132 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 132/132 [00:00<00:00, 1.62MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: pytorch_model-00001-of-00003.bin: 0%| | 0.00/4.94G [00:00<?, ?B/s] pytorch_model-00001-of-00003.bin: 0%| | 10.5M/4.94G [00:00<03:25, 24.0MB/s] pytorch_model-00001-of-00003.bin: 1%|▏ | 62.9M/4.94G [00:00<00:37, 131MB/s] pytorch_model-00001-of-00003.bin: 3%|▎ | 136M/4.94G [00:00<00:17, 275MB/s] pytorch_model-00001-of-00003.bin: 5%|▍ | 241M/4.94G [00:00<00:11, 411MB/s] pytorch_model-00001-of-00003.bin: 6%|▌ | 304M/4.94G [00:01<00:15, 306MB/s] pytorch_model-00001-of-00003.bin: 8%|▊ | 398M/4.94G [00:01<00:10, 421MB/s] pytorch_model-00001-of-00003.bin: 19%|█▉ | 944M/4.94G [00:01<00:02, 1.46GB/s] pytorch_model-00001-of-00003.bin: 28%|██▊ | 1.37G/4.94G [00:01<00:01, 2.11GB/s] pytorch_model-00001-of-00003.bin: 34%|███▎ | 1.67G/4.94G [00:01<00:01, 1.83GB/s] pytorch_model-00001-of-00003.bin: 39%|███▊ | 1.91G/4.94G [00:01<00:01, 1.80GB/s] pytorch_model-00001-of-00003.bin: 43%|████▎ | 2.13G/4.94G [00:01<00:01, 1.58GB/s] pytorch_model-00001-of-00003.bin: 47%|████▋ | 2.32G/4.94G [00:02<00:01, 1.43GB/s] pytorch_model-00001-of-00003.bin: 50%|█████ | 2.49G/4.94G [00:02<00:01, 1.41GB/s] pytorch_model-00001-of-00003.bin: 54%|█████▍ | 2.68G/4.94G [00:02<00:01, 1.53GB/s] pytorch_model-00001-of-00003.bin: 58%|█████▊ | 2.86G/4.94G [00:02<00:01, 1.39GB/s] pytorch_model-00001-of-00003.bin: 62%|██████▏ | 3.07G/4.94G [00:02<00:01, 1.56GB/s] pytorch_model-00001-of-00003.bin: 67%|██████▋ | 3.30G/4.94G [00:02<00:00, 1.69GB/s] pytorch_model-00001-of-00003.bin: 72%|███████▏ | 3.54G/4.94G [00:02<00:00, 1.86GB/s] pytorch_model-00001-of-00003.bin: 76%|███████▋ | 3.77G/4.94G [00:02<00:00, 1.95GB/s] pytorch_model-00001-of-00003.bin: 81%|████████ | 3.98G/4.94G [00:03<00:00, 1.93GB/s] pytorch_model-00001-of-00003.bin: 86%|████████▌ | 4.24G/4.94G [00:03<00:00, 2.05GB/s] pytorch_model-00001-of-00003.bin: 91%|█████████ | 4.48G/4.94G [00:03<00:00, 2.16GB/s] pytorch_model-00001-of-00003.bin: 100%|█████████▉| 4.94G/4.94G [00:03<00:00, 1.45GB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: pytorch_model-00002-of-00003.bin: 0%| | 0.00/5.00G [00:00<?, ?B/s] pytorch_model-00002-of-00003.bin: 0%| | 10.5M/5.00G [00:00<03:13, 25.8MB/s] pytorch_model-00002-of-00003.bin: 2%|▏ | 105M/5.00G [00:00<00:18, 260MB/s] pytorch_model-00002-of-00003.bin: 5%|▍ | 241M/5.00G [00:00<00:08, 549MB/s] pytorch_model-00002-of-00003.bin: 7%|▋ | 336M/5.00G [00:01<00:13, 343MB/s] pytorch_model-00002-of-00003.bin: 17%|█▋ | 828M/5.00G [00:01<00:03, 1.12GB/s] pytorch_model-00002-of-00003.bin: 27%|██▋ | 1.35G/5.00G [00:01<00:01, 1.92GB/s] pytorch_model-00002-of-00003.bin: 34%|███▎ | 1.68G/5.00G [00:01<00:02, 1.66GB/s] pytorch_model-00002-of-00003.bin: 39%|███▉ | 1.94G/5.00G [00:01<00:02, 1.21GB/s] pytorch_model-00002-of-00003.bin: 43%|████▎ | 2.14G/5.00G [00:02<00:02, 1.11GB/s] pytorch_model-00002-of-00003.bin: 52%|█████▏ | 2.61G/5.00G [00:02<00:01, 1.66GB/s] pytorch_model-00002-of-00003.bin: 58%|█████▊ | 2.89G/5.00G [00:02<00:01, 1.87GB/s] pytorch_model-00002-of-00003.bin: 63%|██████▎ | 3.17G/5.00G [00:02<00:00, 1.88GB/s] pytorch_model-00002-of-00003.bin: 68%|██████▊ | 3.42G/5.00G [00:02<00:00, 2.01GB/s] pytorch_model-00002-of-00003.bin: 73%|███████▎ | 3.67G/5.00G [00:02<00:00, 1.84GB/s] pytorch_model-00002-of-00003.bin: 78%|███████▊ | 3.89G/5.00G [00:02<00:00, 1.54GB/s] pytorch_model-00002-of-00003.bin: 82%|████████▏ | 4.08G/5.00G [00:03<00:00, 1.59GB/s] pytorch_model-00002-of-00003.bin: 85%|████████▌ | 4.27G/5.00G [00:03<00:00, 1.62GB/s] pytorch_model-00002-of-00003.bin: 97%|█████████▋| 4.83G/5.00G [00:03<00:00, 2.57GB/s] pytorch_model-00002-of-00003.bin: 100%|█████████▉| 5.00G/5.00G [00:03<00:00, 1.51GB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: pytorch_model-00003-of-00003.bin: 0%| | 0.00/4.54G [00:00<?, ?B/s] pytorch_model-00003-of-00003.bin: 0%| | 10.5M/4.54G [00:00<02:45, 27.4MB/s] pytorch_model-00003-of-00003.bin: 1%|▏ | 62.9M/4.54G [00:00<00:27, 161MB/s] pytorch_model-00003-of-00003.bin: 3%|▎ | 157M/4.54G [00:00<00:11, 369MB/s] pytorch_model-00003-of-00003.bin: 5%|▌ | 241M/4.54G [00:00<00:09, 459MB/s] pytorch_model-00003-of-00003.bin: 7%|▋ | 304M/4.54G [00:00<00:11, 377MB/s] pytorch_model-00003-of-00003.bin: 11%|█▏ | 514M/4.54G [00:01<00:05, 759MB/s] pytorch_model-00003-of-00003.bin: 28%|██▊ | 1.27G/4.54G [00:01<00:01, 2.39GB/s] pytorch_model-00003-of-00003.bin: 35%|███▍ | 1.58G/4.54G [00:01<00:01, 2.42GB/s] pytorch_model-00003-of-00003.bin: 41%|████▏ | 1.88G/4.54G [00:01<00:01, 1.96GB/s] pytorch_model-00003-of-00003.bin: 47%|████▋ | 2.13G/4.54G [00:01<00:01, 1.54GB/s] pytorch_model-00003-of-00003.bin: 51%|█████▏ | 2.33G/4.54G [00:01<00:01, 1.31GB/s] pytorch_model-00003-of-00003.bin: 58%|█████▊ | 2.62G/4.54G [00:02<00:01, 1.58GB/s] pytorch_model-00003-of-00003.bin: 67%|██████▋ | 3.06G/4.54G [00:02<00:00, 2.13GB/s] pytorch_model-00003-of-00003.bin: 73%|███████▎ | 3.33G/4.54G [00:02<00:00, 2.20GB/s] pytorch_model-00003-of-00003.bin: 79%|███████▉ | 3.60G/4.54G [00:02<00:00, 2.29GB/s] pytorch_model-00003-of-00003.bin: 85%|████████▍ | 3.86G/4.54G [00:02<00:00, 1.89GB/s] pytorch_model-00003-of-00003.bin: 90%|█████████ | 4.09G/4.54G [00:02<00:00, 1.92GB/s] pytorch_model-00003-of-00003.bin: 100%|█████████▉| 4.54G/4.54G [00:02<00:00, 1.60GB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: pytorch_model.bin.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] pytorch_model.bin.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 143MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: special_tokens_map.json: 0%| | 0.00/437 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 437/437 [00:00<00:00, 5.69MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 62.4MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.02k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.02k/1.02k [00:00<00:00, 8.33MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: Downloaded to shared memory in 11.734s
cgato-thespice-7b-v0-1-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-v0-1-v4-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-v0-1-v4-mkmlizer: Reading /tmp/tmpdcbhz07z/pytorch_model.bin.index.json
cgato-thespice-7b-v0-1-v4-mkmlizer: quantized model in 15.304s
cgato-thespice-7b-v0-1-v4-mkmlizer: Processed model cgato/TheSpice-7b-v0.1 in 28.019s
cgato-thespice-7b-v0-1-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-v0-1-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-v0-1-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/special_tokens_map.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/config.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/tokenizer_config.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/tokenizer.model
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/tokenizer.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-v4/mkml_model.tensors
cgato-thespice-7b-v0-1-v4-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-v0-1-v4-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-v0-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-v0-1-v4-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.6MB/s]
cgato-thespice-7b-v0-1-v4-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-v0-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-v0-1-v4-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.24MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 27.8MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 28.7MB/s]
cgato-thespice-7b-v0-1-v4-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-v0-1-v4-mkmlizer: warnings.warn(
cgato-thespice-7b-v0-1-v4-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:45, 31.6MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:29, 48.4MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:06, 222MB/s] pytorch_model.bin: 16%|█▌ | 231M/1.44G [00:00<00:02, 509MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:01<00:03, 343MB/s] pytorch_model.bin: 25%|██▍ | 357M/1.44G [00:01<00:03, 297MB/s] pytorch_model.bin: 38%|███▊ | 545M/1.44G [00:01<00:01, 575MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 2.26GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 954MB/s]
cgato-thespice-7b-v0-1-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-v0-1-v4-mkmlizer: Saving duration: 0.255s
cgato-thespice-7b-v0-1-v4-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.475s
cgato-thespice-7b-v0-1-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-v0-1-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-v0-1-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/tokenizer_config.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/special_tokens_map.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/merges.txt
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/config.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/tokenizer.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/vocab.json
cgato-thespice-7b-v0-1-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-v0-1-v4_reward/reward.tensors
Job cgato-thespice-7b-v0-1-v4-mkmlizer completed after 55.79s with status: succeeded
Stopping job with name cgato-thespice-7b-v0-1-v4-mkmlizer
Pipeline stage MKMLizer completed in 65.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-v0-1-v4
Waiting for inference service cgato-thespice-7b-v0-1-v4 to be ready
Inference service cgato-thespice-7b-v0-1-v4 ready after 40.208314418792725s
Pipeline stage ISVCDeployer completed in 47.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8642637729644775s
Received healthy response to inference request in 1.2117464542388916s
%s, retrying in %s seconds...
Received healthy response to inference request in 6.79384708404541s
Received healthy response to inference request in 1.1831958293914795s
Received healthy response to inference request in 1.2011616230010986s
Received healthy response to inference request in 1.2164082527160645s
Received healthy response to inference request in 1.18715238571167s
5 requests
0 failed requests
5th percentile: 1.1839871406555176
10th percentile: 1.1847784519195557
20th percentile: 1.1863610744476318
30th percentile: 1.1899542331695556
40th percentile: 1.1955579280853272
50th percentile: 1.2011616230010986
60th percentile: 1.2072602748870849
70th percentile: 1.2133589267730713
80th percentile: 2.3318960189819347
90th percentile: 4.562871551513672
95th percentile: 5.67835931777954
99th percentile: 6.570749530792236
mean time: 2.3163530349731447
Pipeline stage StressChecker completed in 35.65s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-v0-1_v4 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics