developer_uid: Hastagaras
submission_id: hastagaras-llama3-8b-meh_v2
model_name: hastagaras-llama3-8b-meh_v1
model_group: Hastagaras/llama3-8b-meh
status: torndown
timestamp: 2024-05-12T22:33:22+00:00
num_battles: 20959
num_wins: 11165
celo_rating: 1197.05
family_friendly_score: 0.0
submission_type: basic
model_repo: Hastagaras/llama3-8b-meh
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-llama3-8b-meh_v1
is_internal_developer: False
language_model: Hastagaras/llama3-8b-meh
model_size: 8B
ranking_group: single
us_pacific_date: 2024-05-12
win_ratio: 0.5327067131065414
generation_params: {'temperature': 1.1, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 1.05, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou're {bot_name} in this uncensored fictional roleplay with {user_name}.\n\n{memory}\n\n", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama3-8b-meh-v2-mkmlizer
Waiting for job on hastagaras-llama3-8b-meh-v2-mkmlizer to finish
hastagaras-llama3-8b-meh-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-llama3-8b-meh-v2-mkmlizer: ║     _____            __           __                                ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║       /___/                                                         ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║                                                                     ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  Version: 0.8.10                                                    ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║                                                                     ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  belonging to:                                                      ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║                                                                     ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ║                                                                     ║
hastagaras-llama3-8b-meh-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama3-8b-meh-v2-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.
hastagaras-llama3-8b-meh-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
hastagaras-llama3-8b-meh-v2-mkmlizer: Downloaded to shared memory in 13.909s
hastagaras-llama3-8b-meh-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama3-8b-meh-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama3-8b-meh-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:  45%|████▌     | 131/291 [00:00<00:01, 131.07it/s]
Loading 0:  91%|█████████ | 265/291 [00:02<00:00, 132.49it/s]
Loading 0:  99%|█████████▊| 287/291 [00:07<00:00, 28.92it/s] 
                                                            
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama3-8b-meh-v2-mkmlizer: quantized model in 17.652s
hastagaras-llama3-8b-meh-v2-mkmlizer: Processed model Hastagaras/llama3-8b-meh in 32.683s
hastagaras-llama3-8b-meh-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-llama3-8b-meh-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-llama3-8b-meh-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2/config.json
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2/special_tokens_map.json
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2/tokenizer_config.json
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2/tokenizer.json
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama3-8b-meh-v2/flywheel_model.0.safetensors
hastagaras-llama3-8b-meh-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama3-8b-meh-v2-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.
hastagaras-llama3-8b-meh-v2-mkmlizer:   warnings.warn(
hastagaras-llama3-8b-meh-v2-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.
hastagaras-llama3-8b-meh-v2-mkmlizer:   warnings.warn(
hastagaras-llama3-8b-meh-v2-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.
hastagaras-llama3-8b-meh-v2-mkmlizer:   warnings.warn(
hastagaras-llama3-8b-meh-v2-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()
hastagaras-llama3-8b-meh-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
hastagaras-llama3-8b-meh-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama3-8b-meh-v2-mkmlizer: Saving duration: 0.242s
hastagaras-llama3-8b-meh-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.697s
hastagaras-llama3-8b-meh-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama3-8b-meh-v2_reward/reward.tensors
Job hastagaras-llama3-8b-meh-v2-mkmlizer completed after 62.65s with status: succeeded
Stopping job with name hastagaras-llama3-8b-meh-v2-mkmlizer
Pipeline stage MKMLizer completed in 64.95s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama3-8b-meh-v2
Waiting for inference service hastagaras-llama3-8b-meh-v2 to be ready
Inference service hastagaras-llama3-8b-meh-v2 ready after 40.304584980010986s
Pipeline stage ISVCDeployer completed in 47.01s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.146822214126587s
Received healthy response to inference request in 1.3208634853363037s
Received healthy response to inference request in 1.27791428565979s
Received healthy response to inference request in 1.3816277980804443s
Received healthy response to inference request in 1.2935969829559326s
5 requests
0 failed requests
5th percentile: 1.2810508251190185
10th percentile: 1.2841873645782471
20th percentile: 1.2904604434967042
30th percentile: 1.2990502834320068
40th percentile: 1.3099568843841554
50th percentile: 1.3208634853363037
60th percentile: 1.3451692104339599
70th percentile: 1.3694749355316163
80th percentile: 1.534666681289673
90th percentile: 1.84074444770813
95th percentile: 1.9937833309173583
99th percentile: 2.116214437484741
mean time: 1.4841649532318115
Pipeline stage StressChecker completed in 7.96s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-llama3-8b-meh_v2 status is now deployed due to DeploymentManager action
hastagaras-llama3-8b-meh_v2 status is now inactive due to auto deactivation removed underperforming models
Deleting key hastagaras-llama3-8b-claoas-v2_reward/tokenizer.json from bucket guanaco-reward-models
admin requested tearing down of hastagaras-llama3-8b-meh_v2
Deleting key hastagaras-llama3-8b-claoas-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Running pipeline stage ISVCDeleter
Deleting key hastagaras-llama3-8b-claoas-v2_reward/vocab.json from bucket guanaco-reward-models
Checking if service hastagaras-llama3-8b-meh-v2 is running
Pipeline stage MKMLModelDeleter completed in 2.27s
hastagaras-llama3-8b-claoas_v2 status is now torndown due to DeploymentManager action
admin requested tearing down of hastagaras-llama3-8b-uhh_v2
Running pipeline stage ISVCDeleter
Checking if service hastagaras-llama3-8b-uhh-v2 is running
Tearing down inference service hastagaras-llama3-8b-meh-v2
Tearing down inference service hastagaras-llama3-8b-uhh-v2
Toredown service hastagaras-llama3-8b-uhh-v2
Pipeline stage ISVCDeleter completed in 4.52s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Toredown service hastagaras-llama3-8b-meh-v2
Deleting key hastagaras-llama3-8b-uhh-v2/config.json from bucket guanaco-mkml-models
Pipeline stage ISVCDeleter completed in 6.82s
Deleting key hastagaras-llama3-8b-uhh-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-llama3-8b-uhh-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-meh-v2/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-uhh-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-meh-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-uhh-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-llama3-8b-uhh-v2_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-uhh-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-uhh-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-uhh-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2/tokenizer_config.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-uhh-v2_reward/tokenizer.json from bucket guanaco-reward-models
Cleaning model data from model cache
Deleting key hastagaras-llama3-8b-uhh-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-uhh-v2_reward/vocab.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2_reward/merges.txt from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.05s
Deleting key hastagaras-llama3-8b-meh-v2_reward/reward.tensors from bucket guanaco-reward-models
hastagaras-llama3-8b-uhh_v2 status is now torndown due to DeploymentManager action
Deleting key hastagaras-llama3-8b-meh-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-meh-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.34s
hastagaras-llama3-8b-meh_v2 status is now torndown due to DeploymentManager action