cycy233-l3-duduk-v0-e1-5

submission_id: cycy233-l3-duduk-v0-e1-5_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1188.81

display_name: auto

family_friendly_score: 0.0

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{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': 16, 'max_output_tokens': 64}

is_internal_developer: False

language_model: cycy233/L3-duduk-v0-e1.5

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-duduk-v0-e1.5

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-duduk-v0-e1.5

model_size: 8B

num_battles: 19876

num_wins: 10081

ranking_group: single

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

status: torndown

submission_type: basic

timestamp: 2024-06-28T03:30:53+00:00

us_pacific_date: 2024-06-27

win_ratio: 0.5071946065606762

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-duduk-v0-e1-5-v1-mkmlizer
Waiting for job on cycy233-l3-duduk-v0-e1-5-v1-mkmlizer to finish
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-duduk-v0-e1-5-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.
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:02, 81.69it/s]
Loading 0:  64%|██████▍   | 187/291 [00:02<00:01, 94.79it/s]
Loading 0:  99%|█████████▊| 287/291 [00:02<00:00, 138.07it/s]
                                                             
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: quantized model in 23.974s
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Processed model cycy233/L3-duduk-v0-e1.5 in 64.110s
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1/tokenizer_config.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1/config.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1/special_tokens_map.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1/tokenizer.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e1-5-v1/flywheel_model.0.safetensors
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-duduk-v0-e1-5-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.
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer:   warnings.warn(
cycy233-l3-duduk-v0-e1-5-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.
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer:   warnings.warn(
cycy233-l3-duduk-v0-e1-5-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.
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer:   warnings.warn(
Connection pool is full, discarding connection: %s
cycy233-l3-duduk-v0-e1-5-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()
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Saving duration: 0.403s
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.242s
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/special_tokens_map.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/tokenizer_config.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/vocab.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/merges.txt
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/tokenizer.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/config.json
cycy233-l3-duduk-v0-e1-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-duduk-v0-e1-5-v1_reward/reward.tensors
Job cycy233-l3-duduk-v0-e1-5-v1-mkmlizer completed after 93.58s with status: succeeded
Stopping job with name cycy233-l3-duduk-v0-e1-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 94.51s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-duduk-v0-e1-5-v1
Waiting for inference service cycy233-l3-duduk-v0-e1-5-v1 to be ready
Inference service cycy233-l3-duduk-v0-e1-5-v1 ready after 231.3519687652588s
Pipeline stage ISVCDeployer completed in 239.77s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3913989067077637s
Received healthy response to inference request in 1.3224527835845947s
Received healthy response to inference request in 1.3247790336608887s
Received healthy response to inference request in 1.269529104232788s
Received healthy response to inference request in 1.3396000862121582s
5 requests
0 failed requests
5th percentile: 1.2801138401031493
10th percentile: 1.2906985759735108
20th percentile: 1.3118680477142335
30th percentile: 1.3229180335998536
40th percentile: 1.3238485336303711
50th percentile: 1.3247790336608887
60th percentile: 1.3307074546813964
70th percentile: 1.3366358757019043
80th percentile: 1.5499598503112795
90th percentile: 1.9706793785095216
95th percentile: 2.1810391426086424
99th percentile: 2.3493269538879393
mean time: 1.5295519828796387
Pipeline stage StressChecker completed in 8.41s
cycy233-l3-duduk-v0-e1-5_v1 status is now deployed due to DeploymentManager action
cycy233-l3-duduk-v0-e1-5_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-duduk-v0-e1-5_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-duduk-v0-e1-5-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.37s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-duduk-v0-e1-5-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e1-5-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.89s
cycy233-l3-duduk-v0-e1-5_v1 status is now torndown due to DeploymentManager action