jebcarter-psyonic-cetace_1919

submission_id: jebcarter-psyonic-cetace_1919_v3
developer_uid: greg2rod6
best_of: 4
celo_rating: 1144.21
display_name: jebcarter-psyonic-cetace_1919_v3
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: jebcarter/psyonic-cetacean-20B
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: jebcarter/psyonic-cetace
model_name: jebcarter-psyonic-cetace_1919_v3
model_num_parameters: 19994362880.0
model_repo: jebcarter/psyonic-cetacean-20B
model_size: 20B
num_battles: 13583
num_wins: 6237
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: 2024-06-29T18:01:48+00:00
us_pacific_date: 2024-06-29
win_ratio: 0.4591769123168667
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jebcarter-psyonic-cetace-1919-v3-mkmlizer
Waiting for job on jebcarter-psyonic-cetace-1919-v3-mkmlizer to finish
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║     _____            __           __                                ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║       /___/                                                         ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  Version: 0.8.14                                                    ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  https://mk1.ai                                                     ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  belonging to:                                                      ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  Chai Research Corp.                                                ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v3-mkmlizer:   warnings.warn(warning_message, FutureWarning)
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Downloaded to shared memory in 41.151s
jebcarter-psyonic-cetace-1919-v3-mkmlizer: quantizing model to /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v3-mkmlizer: quantized model in 35.736s
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Processed model jebcarter/psyonic-cetacean-20B in 83.640s
jebcarter-psyonic-cetace-1919-v3-mkmlizer: creating bucket guanaco-mkml-models
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jebcarter-psyonic-cetace-1919-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/config.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/tokenizer.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/tokenizer.model
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/flywheel_model.1.safetensors
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v3/flywheel_model.0.safetensors
jebcarter-psyonic-cetace-1919-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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/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.
jebcarter-psyonic-cetace-1919-v3-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v3-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v3-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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()
jebcarter-psyonic-cetace-1919-v3-mkmlizer:   return self.fget.__get__(instance, owner)()
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Saving duration: 0.446s
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.274s
jebcarter-psyonic-cetace-1919-v3-mkmlizer: creating bucket guanaco-reward-models
jebcarter-psyonic-cetace-1919-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jebcarter-psyonic-cetace-1919-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/config.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/merges.txt
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/vocab.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/tokenizer.json
jebcarter-psyonic-cetace-1919-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v3_reward/reward.tensors
Job jebcarter-psyonic-cetace-1919-v3-mkmlizer completed after 124.52s with status: succeeded
Stopping job with name jebcarter-psyonic-cetace-1919-v3-mkmlizer
Pipeline stage MKMLizer completed in 125.36s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service jebcarter-psyonic-cetace-1919-v3
Waiting for inference service jebcarter-psyonic-cetace-1919-v3 to be ready
Inference service jebcarter-psyonic-cetace-1919-v3 ready after 50.239195346832275s
Pipeline stage ISVCDeployer completed in 57.08s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3040027618408203s
Received healthy response to inference request in 2.4698541164398193s
Received healthy response to inference request in 2.5263314247131348s
Received healthy response to inference request in 2.484221935272217s
Received healthy response to inference request in 2.1541013717651367s
5 requests
0 failed requests
5th percentile: 2.217251920700073
10th percentile: 2.2804024696350096
20th percentile: 2.406703567504883
30th percentile: 2.4727276802062987
40th percentile: 2.478474807739258
50th percentile: 2.484221935272217
60th percentile: 2.501065731048584
70th percentile: 2.517909526824951
80th percentile: 2.681865692138672
90th percentile: 2.992934226989746
95th percentile: 3.148468494415283
99th percentile: 3.272895908355713
mean time: 2.5877023220062254
Pipeline stage StressChecker completed in 13.72s
jebcarter-psyonic-cetace_1919_v3 status is now deployed due to DeploymentManager action
jebcarter-psyonic-cetace_1919_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jebcarter-psyonic-cetace_1919_v3
Running pipeline stage ISVCDeleter
Checking if service jebcarter-psyonic-cetace-1919-v3 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.35s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jebcarter-psyonic-cetace-1919-v3/config.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/config.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.83s
jebcarter-psyonic-cetace_1919_v3 status is now torndown due to DeploymentManager action