submission_id: resplendentai-sovl-llama3-8b_v1
developer_uid: jeiku
status: torndown
model_repo: ResplendentAI/SOVL_Llama3_8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.5, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, '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: 2024-04-25T00:14:19+00:00
model_name: resplendentai-sovl-llama3-8b_v1
model_eval_status: success
model_group: ResplendentAI/SOVL_Llama
num_battles: 7752
num_wins: 4162
celo_rating: 1178.62
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: 64
display_name: resplendentai-sovl-llama3-8b_v1
ineligible_reason: propriety_total_count < 800
language_model: ResplendentAI/SOVL_Llama3_8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-24
win_ratio: 0.5368937048503611
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name resplendentai-sovl-llama3-8b-v1-mkmlizer
Waiting for job on resplendentai-sovl-llama3-8b-v1-mkmlizer to finish
Stopping job with name resplendentai-sovl-llama3-8b-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name resplendentai-sovl-llama3-8b-v1-mkmlizer
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resplendentai-sovl-llama3-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ ║
resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ Version: 0.8.10 ║
resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ Chai Research Corp. ║
resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
resplendentai-sovl-llama3-8b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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resplendentai-sovl-llama3-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
resplendentai-sovl-llama3-8b-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.
resplendentai-sovl-llama3-8b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
resplendentai-sovl-llama3-8b-v1-mkmlizer: Downloaded to shared memory in 24.546s
resplendentai-sovl-llama3-8b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
resplendentai-sovl-llama3-8b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
resplendentai-sovl-llama3-8b-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 43%|████▎ | 125/291 [00:01<00:01, 124.51it/s] Loading 0: 64%|██████▍ | 187/291 [00:06<00:04, 22.42it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
resplendentai-sovl-llama3-8b-v1-mkmlizer: quantized model in 19.785s
resplendentai-sovl-llama3-8b-v1-mkmlizer: Processed model ResplendentAI/SOVL_Llama3_8B in 45.402s
resplendentai-sovl-llama3-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
resplendentai-sovl-llama3-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
resplendentai-sovl-llama3-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1/config.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1/tokenizer_config.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1/special_tokens_map.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1/tokenizer.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/resplendentai-sovl-llama3-8b-v1/flywheel_model.0.safetensors
resplendentai-sovl-llama3-8b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
resplendentai-sovl-llama3-8b-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.
resplendentai-sovl-llama3-8b-v1-mkmlizer: warnings.warn(
resplendentai-sovl-llama3-8b-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.
resplendentai-sovl-llama3-8b-v1-mkmlizer: warnings.warn(
resplendentai-sovl-llama3-8b-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.
resplendentai-sovl-llama3-8b-v1-mkmlizer: warnings.warn(
resplendentai-sovl-llama3-8b-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()
resplendentai-sovl-llama3-8b-v1-mkmlizer: return self.fget.__get__(instance, owner)()
resplendentai-sovl-llama3-8b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
resplendentai-sovl-llama3-8b-v1-mkmlizer: Saving duration: 0.269s
resplendentai-sovl-llama3-8b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.946s
resplendentai-sovl-llama3-8b-v1-mkmlizer: creating bucket guanaco-reward-models
resplendentai-sovl-llama3-8b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
resplendentai-sovl-llama3-8b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/special_tokens_map.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/tokenizer_config.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/config.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/merges.txt
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/vocab.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/tokenizer.json
resplendentai-sovl-llama3-8b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/resplendentai-sovl-llama3-8b-v1_reward/reward.tensors
Job resplendentai-sovl-llama3-8b-v1-mkmlizer completed after 75.49s with status: succeeded
Stopping job with name resplendentai-sovl-llama3-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.92s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service resplendentai-sovl-llama3-8b-v1
Waiting for inference service resplendentai-sovl-llama3-8b-v1 to be ready
Inference service resplendentai-sovl-llama3-8b-v1 ready after 30.206507921218872s
Pipeline stage ISVCDeployer completed in 40.49s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.373262643814087s
Received healthy response to inference request in 1.265150785446167s
Received healthy response to inference request in 1.2906346321105957s
Received healthy response to inference request in 1.260099172592163s
Received healthy response to inference request in 1.270883560180664s
5 requests
0 failed requests
5th percentile: 1.2611094951629638
10th percentile: 1.2621198177337647
20th percentile: 1.2641404628753663
30th percentile: 1.2662973403930664
40th percentile: 1.2685904502868652
50th percentile: 1.270883560180664
60th percentile: 1.2787839889526367
70th percentile: 1.2866844177246093
80th percentile: 1.5071602344512942
90th percentile: 1.9402114391326906
95th percentile: 2.1567370414733884
99th percentile: 2.3299575233459473
mean time: 1.4920061588287354
Pipeline stage StressChecker completed in 8.05s
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 0.07s
resplendentai-sovl-llama3-8b_v1 status is now deployed due to DeploymentManager action
resplendentai-sovl-llama3-8b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of resplendentai-sovl-llama3-8b_v1
Running pipeline stage ISVCDeleter
Checking if service resplendentai-sovl-llama3-8b-v1 is running
Tearing down inference service resplendentai-sovl-llama3-8b-v1
Toredown service resplendentai-sovl-llama3-8b-v1
Pipeline stage ISVCDeleter completed in 3.85s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key resplendentai-sovl-llama3-8b-v1/config.json from bucket guanaco-mkml-models
Deleting key resplendentai-sovl-llama3-8b-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key resplendentai-sovl-llama3-8b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key resplendentai-sovl-llama3-8b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key resplendentai-sovl-llama3-8b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key resplendentai-sovl-llama3-8b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key resplendentai-sovl-llama3-8b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.04s
resplendentai-sovl-llama3-8b_v1 status is now torndown due to DeploymentManager action

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