meseca-02072024-v1

submission_id: meseca-02072024-v1_v1

developer_uid: nguyenzzz

best_of: 8

celo_rating: 1195.46

display_name: meseca-02072024-v1_v1

family_friendly_score: 0.0

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nCurrently, your role is {bot_name}, described in detail below. As {bot_name}, continue the narrative exchange with {user_name}\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': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

is_internal_developer: False

language_model: meseca/02072024-v1

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: meseca/02072024-v1

model_name: meseca-02072024-v1_v1

model_num_parameters: 8030261248.0

model_repo: meseca/02072024-v1

model_size: 8B

num_battles: 12748

num_wins: 6607

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: 2024-07-03T02:19:14+00:00

us_pacific_date: 2024-07-02

win_ratio: 0.5182773768434265

Resubmit model

Running pipeline stage MKMLizer
Starting job with name meseca-02072024-v1-v1-mkmlizer
Waiting for job on meseca-02072024-v1-v1-mkmlizer to finish
meseca-02072024-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-02072024-v1-v1-mkmlizer: ║     _____            __           __                                ║
meseca-02072024-v1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meseca-02072024-v1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meseca-02072024-v1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meseca-02072024-v1-v1-mkmlizer: ║       /___/                                                         ║
meseca-02072024-v1-v1-mkmlizer: ║                                                                     ║
meseca-02072024-v1-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
meseca-02072024-v1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meseca-02072024-v1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
meseca-02072024-v1-v1-mkmlizer: ║                                                                     ║
meseca-02072024-v1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
meseca-02072024-v1-v1-mkmlizer: ║  belonging to:                                                      ║
meseca-02072024-v1-v1-mkmlizer: ║                                                                     ║
meseca-02072024-v1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
meseca-02072024-v1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meseca-02072024-v1-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
meseca-02072024-v1-v1-mkmlizer: ║                                                                     ║
meseca-02072024-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-02072024-v1-v1-mkmlizer: Downloaded to shared memory in 45.191s
meseca-02072024-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-02072024-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-02072024-v1-v1-mkmlizer: quantized model in 24.228s
meseca-02072024-v1-v1-mkmlizer: Processed model meseca/02072024-v1 in 69.420s
meseca-02072024-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-02072024-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-02072024-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-02072024-v1-v1
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/config.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/special_tokens_map.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/tokenizer_config.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/tokenizer.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-02072024-v1-v1/flywheel_model.0.safetensors
meseca-02072024-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
meseca-02072024-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
meseca-02072024-v1-v1-mkmlizer:   warnings.warn(
meseca-02072024-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
meseca-02072024-v1-v1-mkmlizer:   warnings.warn(
meseca-02072024-v1-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.
meseca-02072024-v1-v1-mkmlizer:   warnings.warn(
meseca-02072024-v1-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()
meseca-02072024-v1-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
meseca-02072024-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-02072024-v1-v1-mkmlizer: Saving duration: 0.406s
meseca-02072024-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.642s
meseca-02072024-v1-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-02072024-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-02072024-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-02072024-v1-v1_reward
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/special_tokens_map.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/config.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/tokenizer_config.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/merges.txt
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/vocab.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/tokenizer.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/reward.tensors
Job meseca-02072024-v1-v1-mkmlizer completed after 103.92s with status: succeeded
Stopping job with name meseca-02072024-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service meseca-02072024-v1-v1
Waiting for inference service meseca-02072024-v1-v1 to be ready
Inference service meseca-02072024-v1-v1 ready after 50.23924994468689s
Pipeline stage ISVCDeployer completed in 56.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0669589042663574s
Received healthy response to inference request in 1.2054269313812256s
Received healthy response to inference request in 1.2331390380859375s
Received healthy response to inference request in 1.2825381755828857s
Received healthy response to inference request in 1.3114888668060303s
5 requests
0 failed requests
5th percentile: 1.2109693527221679
10th percentile: 1.2165117740631104
20th percentile: 1.2275966167449952
30th percentile: 1.2430188655853271
40th percentile: 1.2627785205841064
50th percentile: 1.2825381755828857
60th percentile: 1.2941184520721436
70th percentile: 1.3056987285614015
80th percentile: 1.4625828742980957
90th percentile: 1.7647708892822267
95th percentile: 1.915864896774292
99th percentile: 2.0367401027679444
mean time: 1.4199103832244873
Pipeline stage StressChecker completed in 9.14s
meseca-02072024-v1_v1 status is now deployed due to DeploymentManager action
meseca-02072024-v1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of meseca-02072024-v1_v1
Running pipeline stage ISVCDeleter
Checking if service meseca-02072024-v1-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.83s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key meseca-02072024-v1-v1/config.json from bucket guanaco-mkml-models
Deleting key meseca-02072024-v1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key meseca-02072024-v1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key meseca-02072024-v1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key meseca-02072024-v1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key meseca-02072024-v1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key meseca-02072024-v1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.49s
meseca-02072024-v1_v1 status is now torndown due to DeploymentManager action