cycy233-l3-fusion-v1-e2-5

developer_uid: shiroe40

submission_id: cycy233-l3-fusion-v1-e2-5_v1

model_name: auto

model_group: cycy233/L3-fusion-v1-e2.

status: torndown

timestamp: 2024-07-01T04:23:16+00:00

num_battles: 14094

num_wins: 6949

celo_rating: 1180.8

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-fusion-v1-e2.5

model_architecture: LlamaForCausalLM

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: auto

is_internal_developer: False

language_model: cycy233/L3-fusion-v1-e2.5

model_size: 8B

ranking_group: single

us_pacific_date: 2024-06-30

win_ratio: 0.49304668653327655

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}

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}

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'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-fusion-v1-e2-5-v1-mkmlizer
Waiting for job on cycy233-l3-fusion-v1-e2-5-v1-mkmlizer to finish
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║     _____            __           __                                ║
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cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-fusion-v1-e2-5-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-fusion-v1-e2-5-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Downloaded to shared memory in 36.442s
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-fusion-v1-e2-5-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.
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: quantized model in 24.058s
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Processed model cycy233/L3-fusion-v1-e2.5 in 63.099s
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1/config.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1/special_tokens_map.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1/tokenizer_config.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1/tokenizer.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-5-v1/flywheel_model.0.safetensors
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-fusion-v1-e2-5-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-fusion-v1-e2-5-v1-mkmlizer:   warnings.warn(
cycy233-l3-fusion-v1-e2-5-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-fusion-v1-e2-5-v1-mkmlizer:   warnings.warn(
cycy233-l3-fusion-v1-e2-5-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-fusion-v1-e2-5-v1-mkmlizer:   warnings.warn(
cycy233-l3-fusion-v1-e2-5-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-fusion-v1-e2-5-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Saving duration: 0.435s
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.473s
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/special_tokens_map.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/config.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/tokenizer_config.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/vocab.json
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/merges.txt
cycy233-l3-fusion-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-5-v1_reward/tokenizer.json
Job cycy233-l3-fusion-v1-e2-5-v1-mkmlizer completed after 93.94s with status: succeeded
Stopping job with name cycy233-l3-fusion-v1-e2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 94.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-fusion-v1-e2-5-v1
Waiting for inference service cycy233-l3-fusion-v1-e2-5-v1 to be ready
Inference service cycy233-l3-fusion-v1-e2-5-v1 ready after 170.81106233596802s
Pipeline stage ISVCDeployer completed in 177.47s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.315650463104248s
Received healthy response to inference request in 1.3612337112426758s
Received healthy response to inference request in 1.3419804573059082s
Received healthy response to inference request in 1.2960844039916992s
Received healthy response to inference request in 1.347602367401123s
5 requests
0 failed requests
5th percentile: 1.305263614654541
10th percentile: 1.3144428253173828
20th percentile: 1.3328012466430663
30th percentile: 1.3431048393249512
40th percentile: 1.345353603363037
50th percentile: 1.347602367401123
60th percentile: 1.353054904937744
70th percentile: 1.3585074424743653
80th percentile: 1.5521170616149904
90th percentile: 1.9338837623596192
95th percentile: 2.1247671127319334
99th percentile: 2.277473793029785
mean time: 1.5325102806091309
Pipeline stage StressChecker completed in 8.47s
cycy233-l3-fusion-v1-e2-5_v1 status is now deployed due to DeploymentManager action
cycy233-l3-fusion-v1-e2-5_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-fusion-v1-e2-5_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-fusion-v1-e2-5-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.66s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-fusion-v1-e2-5-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-fusion-v1-e2-5-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.55s
cycy233-l3-fusion-v1-e2-5_v1 status is now torndown due to DeploymentManager action