submission_id: neversleep-llama-3-lumim_2955_v5
developer_uid: Undi95
status: torndown
model_repo: NeverSleep/Llama-3-Lumimaid-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', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 112}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}. Write {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations must be enclosed in asterisks (*). The responses must be long and in third perspective of the story teller.\n\nDescription: {memory}", '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}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-25T13:22:55+00:00
model_name: neversleep-llama-3-lumim_2955_v5
model_eval_status: success
model_group: NeverSleep/Llama-3-Lumim
num_battles: 7415
num_wins: 4081
celo_rating: 1188.72
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 112
display_name: neversleep-llama-3-lumim_2955_v5
ineligible_reason: max_output_tokens!=64
language_model: NeverSleep/Llama-3-Lumimaid-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-25
win_ratio: 0.5503708698583951
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-llama-3-lumim-2955-v5-mkmlizer
Waiting for job on neversleep-llama-3-lumim-2955-v5-mkmlizer to finish
neversleep-llama-3-lumim-2955-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ _____ __ __ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ /___/ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ Version: 0.8.10 ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ belonging to: ║
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neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ Chai Research Corp. ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ║ ║
neversleep-llama-3-lumim-2955-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-llama-3-lumim-2955-v5-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.
neversleep-llama-3-lumim-2955-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-llama-3-lumim-2955-v5-mkmlizer: Downloaded to shared memory in 17.465s
neversleep-llama-3-lumim-2955-v5-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-llama-3-lumim-2955-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-llama-3-lumim-2955-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:44, 2.02s/it] Loading 0: 57%|█████▋ | 166/291 [00:05<00:03, 39.78it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
neversleep-llama-3-lumim-2955-v5-mkmlizer: quantized model in 17.089s
neversleep-llama-3-lumim-2955-v5-mkmlizer: Processed model NeverSleep/Llama-3-Lumimaid-8B in 35.578s
neversleep-llama-3-lumim-2955-v5-mkmlizer: creating bucket guanaco-mkml-models
neversleep-llama-3-lumim-2955-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-llama-3-lumim-2955-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5/tokenizer_config.json
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5/config.json
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5/special_tokens_map.json
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5/tokenizer.json
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-2955-v5/flywheel_model.0.safetensors
neversleep-llama-3-lumim-2955-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
neversleep-llama-3-lumim-2955-v5-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.
neversleep-llama-3-lumim-2955-v5-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-2955-v5-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.
neversleep-llama-3-lumim-2955-v5-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-2955-v5-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.
neversleep-llama-3-lumim-2955-v5-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-2955-v5-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()
neversleep-llama-3-lumim-2955-v5-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-llama-3-lumim-2955-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-llama-3-lumim-2955-v5-mkmlizer: Saving duration: 0.236s
neversleep-llama-3-lumim-2955-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.704s
neversleep-llama-3-lumim-2955-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-llama-3-lumim-2955-v5_reward/reward.tensors
Job neversleep-llama-3-lumim-2955-v5-mkmlizer completed after 187.47s with status: succeeded
Stopping job with name neversleep-llama-3-lumim-2955-v5-mkmlizer
Pipeline stage MKMLizer completed in 190.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-llama-3-lumim-2955-v5
Waiting for inference service neversleep-llama-3-lumim-2955-v5 to be ready
Inference service neversleep-llama-3-lumim-2955-v5 ready after 50.51414966583252s
Pipeline stage ISVCDeployer completed in 57.50s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8493235111236572s
Received healthy response to inference request in 1.9763603210449219s
Received healthy response to inference request in 2.0431079864501953s
Received healthy response to inference request in 2.9634556770324707s
Received healthy response to inference request in 2.0415568351745605s
5 requests
0 failed requests
5th percentile: 1.9893996238708496
10th percentile: 2.0024389266967773
20th percentile: 2.0285175323486326
30th percentile: 2.0418670654296873
40th percentile: 2.0424875259399413
50th percentile: 2.0431079864501953
60th percentile: 2.36559419631958
70th percentile: 2.6880804061889645
80th percentile: 2.87214994430542
90th percentile: 2.9178028106689453
95th percentile: 2.940629243850708
99th percentile: 2.9588903903961183
mean time: 2.374760866165161
Pipeline stage StressChecker completed in 12.54s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
neversleep-llama-3-lumim_2955_v5 status is now deployed due to DeploymentManager action
neversleep-llama-3-lumim_2955_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-llama-3-lumim_2955_v5
Running pipeline stage ISVCDeleter
Checking if service neversleep-llama-3-lumim-2955-v5 is running
Tearing down inference service neversleep-llama-3-lumim-2955-v5
Toredown service neversleep-llama-3-lumim-2955-v5
Pipeline stage ISVCDeleter completed in 5.36s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-2955-v5/config.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-2955-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-2955-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-2955-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-2955-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-2955-v5_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-2955-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.40s
neversleep-llama-3-lumim_2955_v5 status is now torndown due to DeploymentManager action

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