zeuslabs-l3-aethora-15b-v2

submission_id: zeuslabs-l3-aethora-15b-v2_v9
developer_uid: alexdaoud
best_of: 4
celo_rating: 1161.69
display_name: zeuslabs-l3-aethora-15b-v2_v2
family_friendly_score: 0.0
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}
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.25, 'frequency_penalty': 0.1, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: True
language_model: ZeusLabs/L3-Aethora-15B-V2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: ZeusLabs/L3-Aethora-15B-
model_name: zeuslabs-l3-aethora-15b-v2_v2
model_num_parameters: 15009845248.0
model_repo: ZeusLabs/L3-Aethora-15B-V2
model_size: 15B
num_battles: 30068
num_wins: 14520
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-29T01:40:25+00:00
us_pacific_date: 2024-06-28
win_ratio: 0.48290541439404017
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v9-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v9-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║     _____            __           __                                ║
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zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║       /___/                                                         ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  Version: 0.8.14                                                    ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  https://mk1.ai                                                     ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  belonging to:                                                      ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  Chai Research Corp.                                                ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ║                                                                     ║
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v9-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.
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer:   warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Downloaded to shared memory in 35.666s
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: quantized model in 40.099s
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 80.400s
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/config.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/flywheel_model.1.safetensors
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v9/flywheel_model.0.safetensors
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
zeuslabs-l3-aethora-15b-v2-v9-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.
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v9-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.
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v9-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.
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer:   warnings.warn(
zeuslabs-l3-aethora-15b-v2-v9-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()
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer:   return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Saving duration: 0.397s
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.611s
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: creating bucket guanaco-reward-models
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/config.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v9_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v9-mkmlizer completed after 114.84s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v9-mkmlizer
Pipeline stage MKMLizer completed in 115.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v9
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v9 to be ready
Inference service zeuslabs-l3-aethora-15b-v2-v9 ready after 50.43046474456787s
Pipeline stage ISVCDeployer completed in 57.45s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.936824083328247s
Received healthy response to inference request in 1.159576654434204s
Received healthy response to inference request in 2.006394624710083s
Received healthy response to inference request in 1.9707305431365967s
Received healthy response to inference request in 1.8958661556243896s
5 requests
0 failed requests
5th percentile: 1.3068345546722413
10th percentile: 1.4540924549102783
20th percentile: 1.7486082553863525
30th percentile: 1.910839033126831
40th percentile: 1.940784788131714
50th percentile: 1.9707305431365967
60th percentile: 1.9849961757659913
70th percentile: 1.9992618083953857
80th percentile: 2.192480516433716
90th percentile: 2.5646522998809815
95th percentile: 2.750738191604614
99th percentile: 2.8996069049835205
mean time: 1.9938784122467041
Pipeline stage StressChecker completed in 10.73s
zeuslabs-l3-aethora-15b-v2_v9 status is now deployed due to DeploymentManager action
zeuslabs-l3-aethora-15b-v2_v9 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of zeuslabs-l3-aethora-15b-v2_v9
Running pipeline stage ISVCDeleter
Checking if service zeuslabs-l3-aethora-15b-v2-v9 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 3.73s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key zeuslabs-l3-aethora-15b-v2-v9/config.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9/tokenizer.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/config.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/merges.txt from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/reward.tensors from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v9_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.34s
zeuslabs-l3-aethora-15b-v2_v9 status is now torndown due to DeploymentManager action