submission_id: cgato-blopsafetensors_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/BlopSafeTensors
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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': True}
reward_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': True}
timestamp: 2024-06-09T13:46:14+00:00
model_name: cgato-blopsafetensors_v1
model_eval_status: pending
model_group: cgato/BlopSafeTensors
num_battles: 17407
num_wins: 9072
celo_rating: 1194.24
propriety_score: 0.688953488372093
propriety_total_count: 1376.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-blopsafetensors_v1
ineligible_reason: propriety_total_count < 5000
language_model: cgato/BlopSafeTensors
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-09
win_ratio: 0.5211696443959327
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-blopsafetensors-v1-mkmlizer
Waiting for job on cgato-blopsafetensors-v1-mkmlizer to finish
cgato-blopsafetensors-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-blopsafetensors-v1-mkmlizer: ║ _____ __ __ ║
cgato-blopsafetensors-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-blopsafetensors-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-blopsafetensors-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-blopsafetensors-v1-mkmlizer: ║ /___/ ║
cgato-blopsafetensors-v1-mkmlizer: ║ ║
cgato-blopsafetensors-v1-mkmlizer: ║ Version: 0.8.14 ║
cgato-blopsafetensors-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-blopsafetensors-v1-mkmlizer: ║ https://mk1.ai ║
cgato-blopsafetensors-v1-mkmlizer: ║ ║
cgato-blopsafetensors-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-blopsafetensors-v1-mkmlizer: ║ belonging to: ║
cgato-blopsafetensors-v1-mkmlizer: ║ ║
cgato-blopsafetensors-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-blopsafetensors-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-blopsafetensors-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-blopsafetensors-v1-mkmlizer: ║ ║
cgato-blopsafetensors-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-blopsafetensors-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-blopsafetensors-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-blopsafetensors-v1-mkmlizer: Downloaded to shared memory in 34.939s
cgato-blopsafetensors-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-blopsafetensors-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-blopsafetensors-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 130.20it/s] Loading 0: 11%|█ | 32/291 [00:00<00:01, 147.41it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:01, 152.71it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:01, 156.00it/s] Loading 0: 30%|██▉ | 86/291 [00:00<00:01, 163.96it/s] Loading 0: 35%|███▌ | 103/291 [00:00<00:02, 82.88it/s] Loading 0: 41%|████ | 119/291 [00:01<00:01, 96.42it/s] Loading 0: 47%|████▋ | 137/291 [00:01<00:01, 111.74it/s] Loading 0: 53%|█████▎ | 155/291 [00:01<00:01, 125.55it/s] Loading 0: 59%|█████▉ | 173/291 [00:01<00:00, 134.40it/s] Loading 0: 66%|██████▌ | 191/291 [00:01<00:00, 141.06it/s] Loading 0: 71%|███████ | 207/291 [00:01<00:00, 90.78it/s] Loading 0: 76%|███████▌ | 221/291 [00:01<00:00, 99.85it/s] Loading 0: 82%|████████▏ | 239/291 [00:02<00:00, 114.57it/s] Loading 0: 88%|████████▊ | 257/291 [00:02<00:00, 126.65it/s] Loading 0: 95%|█████████▍| 275/291 [00:02<00:00, 134.87it/s] Loading 0: 100%|██████████| 291/291 [00:07<00:00, 9.82it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-blopsafetensors-v1-mkmlizer: quantized model in 22.910s
cgato-blopsafetensors-v1-mkmlizer: Processed model cgato/BlopSafeTensors in 60.375s
cgato-blopsafetensors-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-blopsafetensors-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-blopsafetensors-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-blopsafetensors-v1
cgato-blopsafetensors-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-blopsafetensors-v1/special_tokens_map.json
cgato-blopsafetensors-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-blopsafetensors-v1/tokenizer_config.json
cgato-blopsafetensors-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-blopsafetensors-v1/tokenizer.json
cgato-blopsafetensors-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-blopsafetensors-v1/config.json
cgato-blopsafetensors-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-blopsafetensors-v1/flywheel_model.0.safetensors
cgato-blopsafetensors-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-blopsafetensors-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-blopsafetensors-v1-mkmlizer: warnings.warn(
cgato-blopsafetensors-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-blopsafetensors-v1-mkmlizer: warnings.warn(
cgato-blopsafetensors-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-blopsafetensors-v1-mkmlizer: warnings.warn(
cgato-blopsafetensors-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-blopsafetensors-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-blopsafetensors-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-blopsafetensors-v1-mkmlizer: Saving duration: 0.410s
cgato-blopsafetensors-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.287s
cgato-blopsafetensors-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-blopsafetensors-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-blopsafetensors-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/config.json
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/tokenizer_config.json
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/merges.txt
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/vocab.json
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/special_tokens_map.json
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/tokenizer.json
cgato-blopsafetensors-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-blopsafetensors-v1_reward/reward.tensors
Job cgato-blopsafetensors-v1-mkmlizer completed after 94.41s with status: succeeded
Stopping job with name cgato-blopsafetensors-v1-mkmlizer
Pipeline stage MKMLizer completed in 96.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-blopsafetensors-v1
Waiting for inference service cgato-blopsafetensors-v1 to be ready
Tearing down inference service cgato-blopsafetensors-v1
%s, retrying in %s seconds...
Creating inference service cgato-blopsafetensors-v1
Waiting for inference service cgato-blopsafetensors-v1 to be ready
Inference service cgato-blopsafetensors-v1 ready after 40.243096113204956s
Pipeline stage ISVCDeployer completed in 655.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.156215190887451s
%s, retrying in %s seconds...
Received healthy response to inference request in 1.3651583194732666s
Received healthy response to inference request in 1.3105340003967285s
Received healthy response to inference request in 1.2910847663879395s
Received healthy response to inference request in 1.2968082427978516s
Received healthy response to inference request in 1.3014791011810303s
5 requests
0 failed requests
5th percentile: 1.292229461669922
10th percentile: 1.2933741569519044
20th percentile: 1.295663547515869
30th percentile: 1.2977424144744873
40th percentile: 1.2996107578277587
50th percentile: 1.3014791011810303
60th percentile: 1.3051010608673095
70th percentile: 1.308723020553589
80th percentile: 1.3214588642120362
90th percentile: 1.3433085918426513
95th percentile: 1.354233455657959
99th percentile: 1.362973346710205
mean time: 1.3130128860473633
Pipeline stage StressChecker completed in 29.45s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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-blopsafetensors_v1 status is now deployed due to DeploymentManager action
cgato-blopsafetensors_v1 status is now inactive due to auto deactivation removed underperforming models

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