submission_id: chaoticneutrals-poppy-po_6943_v1
developer_uid: Nitral-AI
status: torndown
model_repo: ChaoticNeutrals/Poppy_Porpoise-v0.5-L3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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': 8, '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': False}
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': False}
timestamp: 2024-04-22T14:52:02+00:00
model_name: chaoticneutrals-poppy-po_6943_v1
model_eval_status: success
model_group: ChaoticNeutrals/Poppy_Po
num_battles: 6186
num_wins: 3310
celo_rating: 1171.06
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: chaoticneutrals-poppy-po_6943_v1
ineligible_reason: propriety_total_count < 800
language_model: ChaoticNeutrals/Poppy_Porpoise-v0.5-L3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-22
win_ratio: 0.5350792111218882
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chaoticneutrals-poppy-po-6943-v1-mkmlizer
Waiting for job on chaoticneutrals-poppy-po-6943-v1-mkmlizer to finish
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ _____ __ __ ║
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chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ /___/ ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ Version: 0.8.10 ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ belonging to: ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ Chai Research Corp. ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ║ ║
chaoticneutrals-poppy-po-6943-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaoticneutrals-poppy-po-6943-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.
chaoticneutrals-poppy-po-6943-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Downloaded to shared memory in 49.102s
chaoticneutrals-poppy-po-6943-v1-mkmlizer: quantizing model to /dev/shm/model_cache
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 42%|████▏ | 123/291 [00:01<00:01, 108.19it/s] Loading 0: 64%|██████▍ | 186/291 [00:06<00:04, 24.15it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
chaoticneutrals-poppy-po-6943-v1-mkmlizer: quantized model in 19.544s
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Processed model ChaoticNeutrals/Poppy_Porpoise-v0.5-L3-8B in 69.702s
chaoticneutrals-poppy-po-6943-v1-mkmlizer: creating bucket guanaco-mkml-models
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaoticneutrals-poppy-po-6943-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1/config.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1/special_tokens_map.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1/tokenizer_config.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1/tokenizer.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaoticneutrals-poppy-po-6943-v1/flywheel_model.0.safetensors
chaoticneutrals-poppy-po-6943-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
chaoticneutrals-poppy-po-6943-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.
chaoticneutrals-poppy-po-6943-v1-mkmlizer: warnings.warn(
chaoticneutrals-poppy-po-6943-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.
chaoticneutrals-poppy-po-6943-v1-mkmlizer: warnings.warn(
chaoticneutrals-poppy-po-6943-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.
chaoticneutrals-poppy-po-6943-v1-mkmlizer: warnings.warn(
chaoticneutrals-poppy-po-6943-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()
chaoticneutrals-poppy-po-6943-v1-mkmlizer: return self.fget.__get__(instance, owner)()
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Saving duration: 0.246s
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.026s
chaoticneutrals-poppy-po-6943-v1-mkmlizer: creating bucket guanaco-reward-models
chaoticneutrals-poppy-po-6943-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chaoticneutrals-poppy-po-6943-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/config.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/tokenizer_config.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/special_tokens_map.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/merges.txt
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/vocab.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/tokenizer.json
chaoticneutrals-poppy-po-6943-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chaoticneutrals-poppy-po-6943-v1_reward/reward.tensors
Job chaoticneutrals-poppy-po-6943-v1-mkmlizer completed after 105.54s with status: succeeded
Stopping job with name chaoticneutrals-poppy-po-6943-v1-mkmlizer
Pipeline stage MKMLizer completed in 111.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service chaoticneutrals-poppy-po-6943-v1
Waiting for inference service chaoticneutrals-poppy-po-6943-v1 to be ready
Inference service chaoticneutrals-poppy-po-6943-v1 ready after 40.373523473739624s
Pipeline stage ISVCDeployer completed in 47.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0320353507995605s
Received healthy response to inference request in 1.182729721069336s
Received healthy response to inference request in 1.188852310180664s
Received healthy response to inference request in 1.1553807258605957s
Received healthy response to inference request in 1.164984941482544s
5 requests
0 failed requests
5th percentile: 1.1573015689849853
10th percentile: 1.159222412109375
20th percentile: 1.1630640983581544
30th percentile: 1.1685338973999024
40th percentile: 1.1756318092346192
50th percentile: 1.182729721069336
60th percentile: 1.1851787567138672
70th percentile: 1.1876277923583984
80th percentile: 1.3574889183044436
90th percentile: 1.694762134552002
95th percentile: 1.863398742675781
99th percentile: 1.9983080291748045
mean time: 1.34479660987854
Pipeline stage StressChecker completed in 7.54s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.05s
chaoticneutrals-poppy-po_6943_v1 status is now deployed due to DeploymentManager action
chaoticneutrals-poppy-po_6943_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaoticneutrals-poppy-po_6943_v1
Running pipeline stage ISVCDeleter
Checking if service chaoticneutrals-poppy-po-6943-v1 is running
Tearing down inference service chaoticneutrals-poppy-po-6943-v1
Toredown service chaoticneutrals-poppy-po-6943-v1
Pipeline stage ISVCDeleter completed in 5.01s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chaoticneutrals-poppy-po-6943-v1/config.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-poppy-po-6943-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key chaoticneutrals-poppy-po-6943-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-poppy-po-6943-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-poppy-po-6943-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/config.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-poppy-po-6943-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.02s
chaoticneutrals-poppy-po_6943_v1 status is now torndown due to DeploymentManager action

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