wespro-l3-limarp-oas-8b-v2

submission_id: wespro-l3-limarp-oas-8b-v2_v1
developer_uid: WesPro
best_of: 4
celo_rating: 1148.74
display_name: wespro-l3-limarp-oas-8b-v2_v1
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': 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': 4, 'max_output_tokens': 64}
is_internal_developer: False
language_model: WesPro/L3-LimaRP-OAS-8B-v2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: WesPro/L3-LimaRP-OAS-8B-
model_name: wespro-l3-limarp-oas-8b-v2_v1
model_num_parameters: 8030261248.0
model_repo: WesPro/L3-LimaRP-OAS-8B-v2
model_size: 8B
num_battles: 10948
num_wins: 5138
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: 2024-06-02T15:58:11+00:00
us_pacific_date: 2024-06-02
win_ratio: 0.46930946291560105
Resubmit model
Running pipeline stage MKMLizer
Starting job with name wespro-l3-limarp-oas-8b-v2-v1-mkmlizer
Waiting for job on wespro-l3-limarp-oas-8b-v2-v1-mkmlizer to finish
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║     _____            __           __                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║       /___/                                                         ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  belonging to:                                                      ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Downloaded to shared memory in 55.421s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: quantized model in 25.932s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Processed model WesPro/L3-LimaRP-OAS-8B-v2 in 84.416s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/tokenizer_config.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/special_tokens_map.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/config.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/tokenizer.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/flywheel_model.0.safetensors
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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()
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Saving duration: 0.558s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.549s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: creating bucket guanaco-reward-models
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ERROR: [Errno -3] Temporary failure in name resolution
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ERROR: Connection Error: Error resolving a server hostname.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Please check the servers address specified in 'host_base', 'host_bucket', 'cloudfront_host', 'website_endpoint'
Job wespro-l3-limarp-oas-8b-v2-v1-mkmlizer completed after 185.27s with status: failed
Stopping job with name wespro-l3-limarp-oas-8b-v2-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name wespro-l3-limarp-oas-8b-v2-v1-mkmlizer
Waiting for job on wespro-l3-limarp-oas-8b-v2-v1-mkmlizer to finish
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║     _____            __           __                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║       /___/                                                         ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  belonging to:                                                      ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ║                                                                     ║
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Downloaded to shared memory in 51.211s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: quantized model in 25.042s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Processed model WesPro/L3-LimaRP-OAS-8B-v2 in 79.061s
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/config.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/special_tokens_map.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/tokenizer_config.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/tokenizer.json
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/wespro-l3-limarp-oas-8b-v2-v1/flywheel_model.0.safetensors
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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.
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   warnings.warn(
wespro-l3-limarp-oas-8b-v2-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()
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
wespro-l3-limarp-oas-8b-v2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
Job wespro-l3-limarp-oas-8b-v2-v1-mkmlizer completed after 183.65s with status: succeeded
Stopping job with name wespro-l3-limarp-oas-8b-v2-v1-mkmlizer
Pipeline stage MKMLizer completed in 371.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service wespro-l3-limarp-oas-8b-v2-v1
Waiting for inference service wespro-l3-limarp-oas-8b-v2-v1 to be ready
Inference service wespro-l3-limarp-oas-8b-v2-v1 ready after 40.31550049781799s
Pipeline stage ISVCDeployer completed in 47.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0293567180633545s
Received healthy response to inference request in 1.112422227859497s
Received healthy response to inference request in 1.1109130382537842s
Received healthy response to inference request in 1.126497507095337s
Received healthy response to inference request in 1.1058802604675293s
5 requests
0 failed requests
5th percentile: 1.1068868160247802
10th percentile: 1.1078933715820312
20th percentile: 1.1099064826965332
30th percentile: 1.1112148761749268
40th percentile: 1.111818552017212
50th percentile: 1.112422227859497
60th percentile: 1.118052339553833
70th percentile: 1.123682451248169
80th percentile: 1.3070693492889407
90th percentile: 1.6682130336761476
95th percentile: 1.8487848758697507
99th percentile: 1.9932423496246336
mean time: 1.2970139503479003
Pipeline stage StressChecker completed in 7.32s
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
wespro-l3-limarp-oas-8b-v2_v1 status is now deployed due to DeploymentManager action
wespro-l3-limarp-oas-8b-v2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of wespro-l3-limarp-oas-8b-v2_v1
Running pipeline stage ISVCDeleter
Checking if service wespro-l3-limarp-oas-8b-v2-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 3.71s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key wespro-l3-limarp-oas-8b-v2-v1/config.json from bucket guanaco-mkml-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key wespro-l3-limarp-oas-8b-v2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.63s
wespro-l3-limarp-oas-8b-v2_v1 status is now torndown due to DeploymentManager action