submission_id: neversleep-llama-3-lumim_8244_v3
developer_uid: Meliodia
best_of: 2
celo_rating: 1160.03
display_name: lumina_70B_v4
family_friendly_score: 0.0
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}
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': 2, 'max_output_tokens': 64}
is_internal_developer: True
language_model: NeverSleep/Llama-3-Lumimaid-70B-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: NeverSleep/Llama-3-Lumim
model_name: lumina_70B_v4
model_num_parameters: 70553706496.0
model_repo: NeverSleep/Llama-3-Lumimaid-70B-v0.1
model_size: 71B
num_battles: 13969
num_wins: 6761
ranking_group: single
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'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-20T14:00:33+00:00
us_pacific_date: 2024-05-20
win_ratio: 0.48400028634834275
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-llama-3-lumim-8244-v3-mkmlizer
Waiting for job on neversleep-llama-3-lumim-8244-v3-mkmlizer to finish
neversleep-llama-3-lumim-8244-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ _____ __ __ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ /___/ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ Version: 0.8.14 ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ https://mk1.ai ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ belonging to: ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ Chai Research Corp. ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ║ ║
neversleep-llama-3-lumim-8244-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-llama-3-lumim-8244-v3-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-8244-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-llama-3-lumim-8244-v3-mkmlizer: Downloaded to shared memory in 183.179s
neversleep-llama-3-lumim-8244-v3-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-llama-3-lumim-8244-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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vocabulary, make sure the associated word embeddings are fine-tuned or trained.
neversleep-llama-3-lumim-8244-v3-mkmlizer: quantized model in 148.513s
neversleep-llama-3-lumim-8244-v3-mkmlizer: Processed model NeverSleep/Llama-3-Lumimaid-70B-v0.1 in 353.649s
neversleep-llama-3-lumim-8244-v3-mkmlizer: creating bucket guanaco-mkml-models
neversleep-llama-3-lumim-8244-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-llama-3-lumim-8244-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/config.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.5.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.0.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.3.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.2.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.1.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-8244-v3/flywheel_model.4.safetensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
neversleep-llama-3-lumim-8244-v3-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-8244-v3-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-8244-v3-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-8244-v3-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-8244-v3-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-8244-v3-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-8244-v3-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-8244-v3-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-llama-3-lumim-8244-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-llama-3-lumim-8244-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-llama-3-lumim-8244-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/special_tokens_map.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/config.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/tokenizer_config.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/vocab.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/merges.txt
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/tokenizer.json
neversleep-llama-3-lumim-8244-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-llama-3-lumim-8244-v3_reward/reward.tensors
Job neversleep-llama-3-lumim-8244-v3-mkmlizer completed after 415.54s with status: succeeded
Stopping job with name neversleep-llama-3-lumim-8244-v3-mkmlizer
Pipeline stage MKMLizer completed in 418.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-llama-3-lumim-8244-v3
Waiting for inference service neversleep-llama-3-lumim-8244-v3 to be ready
Inference service neversleep-llama-3-lumim-8244-v3 ready after 90.46551132202148s
Pipeline stage ISVCDeployer completed in 98.14s
Running pipeline stage StressChecker
Received healthy response to inference request in 7.147096633911133s
Received healthy response to inference request in 4.126137971878052s
Received healthy response to inference request in 4.0939178466796875s
Received healthy response to inference request in 2.5829238891601562s
Received healthy response to inference request in 4.085102319717407s
5 requests
0 failed requests
5th percentile: 2.8833595752716064
10th percentile: 3.1837952613830565
20th percentile: 3.784666633605957
30th percentile: 4.086865425109863
40th percentile: 4.090391635894775
50th percentile: 4.0939178466796875
60th percentile: 4.106805896759033
70th percentile: 4.119693946838379
80th percentile: 4.730329704284668
90th percentile: 5.938713169097901
95th percentile: 6.542904901504516
99th percentile: 7.026258287429809
mean time: 4.4070357322692875
Pipeline stage StressChecker completed in 22.86s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
neversleep-llama-3-lumim_8244_v3 status is now deployed due to DeploymentManager action
neversleep-llama-3-lumim_8244_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-llama-3-lumim_8244_v3
Running pipeline stage ISVCDeleter
Checking if service neversleep-llama-3-lumim-8244-v3 is running
Tearing down inference service neversleep-llama-3-lumim-8244-v3
Toredown service neversleep-llama-3-lumim-8244-v3
Pipeline stage ISVCDeleter completed in 4.40s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-8244-v3/config.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.4.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/flywheel_model.5.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-llama-3-lumim-8244-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-llama-3-lumim-8244-v3_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-llama-3-lumim-8244-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.61s
neversleep-llama-3-lumim_8244_v3 status is now torndown due to DeploymentManager action