submission_id: neversleep-llama-3-lumim_6375_v2
developer_uid: Undi95
status: torndown
model_repo: NeverSleep/Llama-3-Lumimaid-8B-v1.1
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: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-26T00:14:26+00:00
model_name: neversleep-llama-3-lumim_6375_v2
model_eval_status: success
model_group: NeverSleep/Llama-3-Lumim
num_battles: 7543
num_wins: 4010
celo_rating: 1175.38
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_6375_v2
ineligible_reason: max_output_tokens!=64
language_model: NeverSleep/Llama-3-Lumimaid-8B-v1.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-25
win_ratio: 0.5316187193424367
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-llama-3-lumim-6375-v2-mkmlizer
Waiting for job on neversleep-llama-3-lumim-6375-v2-mkmlizer to finish
neversleep-llama-3-lumim-6375-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ _____ __ __ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ /___/ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ Version: 0.8.10 ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ belonging to: ║
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neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ Chai Research Corp. ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-6375-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-llama-3-lumim-6375-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.
neversleep-llama-3-lumim-6375-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-llama-3-lumim-6375-v2-mkmlizer: Downloaded to shared memory in 13.413s
neversleep-llama-3-lumim-6375-v2-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-llama-3-lumim-6375-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-llama-3-lumim-6375-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:50, 2.04s/it] Loading 0: 57%|█████▋ | 166/291 [00:05<00:03, 39.89it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
neversleep-llama-3-lumim-6375-v2-mkmlizer: quantized model in 17.162s
neversleep-llama-3-lumim-6375-v2-mkmlizer: Processed model NeverSleep/Llama-3-Lumimaid-8B-v1.1 in 31.619s
neversleep-llama-3-lumim-6375-v2-mkmlizer: creating bucket guanaco-mkml-models
neversleep-llama-3-lumim-6375-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-llama-3-lumim-6375-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2/special_tokens_map.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2/config.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2/tokenizer_config.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2/tokenizer.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-6375-v2/flywheel_model.0.safetensors
neversleep-llama-3-lumim-6375-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
neversleep-llama-3-lumim-6375-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.
neversleep-llama-3-lumim-6375-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-6375-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.
neversleep-llama-3-lumim-6375-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-6375-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.
neversleep-llama-3-lumim-6375-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-6375-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()
neversleep-llama-3-lumim-6375-v2-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-llama-3-lumim-6375-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-llama-3-lumim-6375-v2-mkmlizer: Saving duration: 0.230s
neversleep-llama-3-lumim-6375-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.400s
neversleep-llama-3-lumim-6375-v2-mkmlizer: creating bucket guanaco-reward-models
neversleep-llama-3-lumim-6375-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-llama-3-lumim-6375-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/special_tokens_map.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/tokenizer_config.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/config.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/merges.txt
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/vocab.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/tokenizer.json
neversleep-llama-3-lumim-6375-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-llama-3-lumim-6375-v2_reward/reward.tensors
Job neversleep-llama-3-lumim-6375-v2-mkmlizer completed after 52.95s with status: succeeded
Stopping job with name neversleep-llama-3-lumim-6375-v2-mkmlizer
Pipeline stage MKMLizer completed in 56.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-llama-3-lumim-6375-v2
Waiting for inference service neversleep-llama-3-lumim-6375-v2 to be ready
Inference service neversleep-llama-3-lumim-6375-v2 ready after 40.24934458732605s
Pipeline stage ISVCDeployer completed in 47.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.461535692214966s
Received healthy response to inference request in 1.7760210037231445s
Received healthy response to inference request in 1.7048041820526123s
Received healthy response to inference request in 1.9377262592315674s
Received healthy response to inference request in 1.9510598182678223s
5 requests
0 failed requests
5th percentile: 1.7190475463867188
10th percentile: 1.7332909107208252
20th percentile: 1.761777639389038
30th percentile: 1.8083620548248291
40th percentile: 1.8730441570281982
50th percentile: 1.9377262592315674
60th percentile: 1.9430596828460693
70th percentile: 1.9483931064605713
80th percentile: 2.0531549930572512
90th percentile: 2.2573453426361083
95th percentile: 2.359440517425537
99th percentile: 2.44111665725708
mean time: 1.9662293910980224
Pipeline stage StressChecker completed in 10.48s
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
neversleep-llama-3-lumim_6375_v2 status is now deployed due to DeploymentManager action
neversleep-llama-3-lumim_6375_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-llama-3-lumim_6375_v2
Running pipeline stage ISVCDeleter
Checking if service neversleep-llama-3-lumim-6375-v2 is running
Tearing down inference service neversleep-llama-3-lumim-6375-v2
Toredown service neversleep-llama-3-lumim-6375-v2
Pipeline stage ISVCDeleter completed in 3.80s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-6375-v2/config.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-6375-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-6375-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-6375-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-6375-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-6375-v2_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-6375-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.79s
neversleep-llama-3-lumim_6375_v2 status is now torndown due to DeploymentManager action

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