hastagaras-hexp0br8bl3

submission_id: hastagaras-hexp0br8bl3_v1

developer_uid: Hastagaras

best_of: 4

celo_rating: 1188.77

display_name: hastagaras-hexp0br8bl3_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': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, '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: Hastagaras/hexp0br8bl3

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_eval_status: success

model_group: Hastagaras/hexp0br8bl3

model_name: hastagaras-hexp0br8bl3_v1

model_num_parameters: 8030261248.0

model_repo: Hastagaras/hexp0br8bl3

model_size: 8B

num_battles: 41627

num_wins: 21346

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: 2024-06-13T00:53:10+00:00

us_pacific_date: 2024-06-12

win_ratio: 0.5127921781536022

Resubmit model

Running pipeline stage MKMLizer
Starting job with name hastagaras-hexp0br8bl3-v1-mkmlizer
Waiting for job on hastagaras-hexp0br8bl3-v1-mkmlizer to finish
hastagaras-hexp0br8bl3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-hexp0br8bl3-v1-mkmlizer: ║     _____            __           __                                ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║       /___/                                                         ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║                                                                     ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║                                                                     ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  belonging to:                                                      ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║                                                                     ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ║                                                                     ║
hastagaras-hexp0br8bl3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-hexp0br8bl3-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.
hastagaras-hexp0br8bl3-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
Failed to get response for submission blend_junes_2024-06-13: name 'requests' is not defined
hastagaras-hexp0br8bl3-v1-mkmlizer: Downloaded to shared memory in 36.687s
hastagaras-hexp0br8bl3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-hexp0br8bl3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_junes_2024-06-13: name 'requests' is not defined
hastagaras-hexp0br8bl3-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.
hastagaras-hexp0br8bl3-v1-mkmlizer: quantized model in 23.440s
hastagaras-hexp0br8bl3-v1-mkmlizer: Processed model Hastagaras/hexp0br8bl3 in 62.685s
hastagaras-hexp0br8bl3-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-hexp0br8bl3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-hexp0br8bl3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1/config.json
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1/special_tokens_map.json
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1/tokenizer_config.json
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1/tokenizer.json
Failed to get response for submission blend_junes_2024-06-13: name 'requests' is not defined
Failed to get response for submission blend_junes_2024-06-13: name 'requests' is not defined
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-hexp0br8bl3-v1/flywheel_model.0.safetensors
hastagaras-hexp0br8bl3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-hexp0br8bl3-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.
hastagaras-hexp0br8bl3-v1-mkmlizer:   warnings.warn(
hastagaras-hexp0br8bl3-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.
hastagaras-hexp0br8bl3-v1-mkmlizer:   warnings.warn(
hastagaras-hexp0br8bl3-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.
hastagaras-hexp0br8bl3-v1-mkmlizer:   warnings.warn(
hastagaras-hexp0br8bl3-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()
hastagaras-hexp0br8bl3-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
hastagaras-hexp0br8bl3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-hexp0br8bl3-v1-mkmlizer: Saving duration: 0.431s
hastagaras-hexp0br8bl3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.158s
hastagaras-hexp0br8bl3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-hexp0br8bl3-v1_reward/reward.tensors
Job hastagaras-hexp0br8bl3-v1-mkmlizer completed after 93.29s with status: succeeded
Stopping job with name hastagaras-hexp0br8bl3-v1-mkmlizer
Pipeline stage MKMLizer completed in 98.05s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-hexp0br8bl3-v1
Waiting for inference service hastagaras-hexp0br8bl3-v1 to be ready
Failed to get response for submission blend_junes_2024-06-13: name 'requests' is not defined
Inference service hastagaras-hexp0br8bl3-v1 ready after 40.26152992248535s
Pipeline stage ISVCDeployer completed in 47.81s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0371689796447754s
Received healthy response to inference request in 1.1194260120391846s
Received healthy response to inference request in 1.1090738773345947s
Received healthy response to inference request in 1.1234815120697021s
Received healthy response to inference request in 1.185492992401123s
5 requests
0 failed requests
5th percentile: 1.1111443042755127
10th percentile: 1.1132147312164307
20th percentile: 1.1173555850982666
30th percentile: 1.120237112045288
40th percentile: 1.1218593120574951
50th percentile: 1.1234815120697021
60th percentile: 1.1482861042022705
70th percentile: 1.1730906963348389
80th percentile: 1.3558281898498536
90th percentile: 1.6964985847473146
95th percentile: 1.8668337821960448
99th percentile: 2.0031019401550294
mean time: 1.3149286746978759
Pipeline stage StressChecker completed in 7.23s
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
hastagaras-hexp0br8bl3_v1 status is now deployed due to DeploymentManager action
hastagaras-hexp0br8bl3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-hexp0br8bl3_v1
Running pipeline stage ISVCDeleter
Checking if service hastagaras-hexp0br8bl3-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.03s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-hexp0br8bl3-v1/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-hexp0br8bl3-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-hexp0br8bl3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-hexp0br8bl3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-hexp0br8bl3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-hexp0br8bl3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-hexp0br8bl3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.00s
hastagaras-hexp0br8bl3_v1 status is now torndown due to DeploymentManager action