developer_uid: Hastagaras
submission_id: hastagaras-llama-3-8b-okay_v7
model_name: test-l3-short
model_group: Hastagaras/llama-3-8b-ok
status: rejected
timestamp: 2024-05-14T00:11:26+00:00
num_battles: 3474
num_wins: 1818
celo_rating: 1181.23
family_friendly_score: 0.0
submission_type: basic
model_repo: Hastagaras/llama-3-8b-okay
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: test-l3-short
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: Hastagaras/llama-3-8b-okay
model_size: 8B
ranking_group: single
us_pacific_date: 2024-05-13
win_ratio: 0.5233160621761658
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\nYou are a roleplay storywriter, below is the task for you.\n\n{bot_name}'s Persona:\n{memory}\n\n", 'prompt_template': "Previously:\n{prompt}\n\nYour task:\nWrite the next concise response in short but contain both dialogue and action in one line. *A description of Levi's physical actions, gestures or movements goes here, enclosed in asterisks*<|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}
model_eval_status: error
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama-3-8b-okay-v7-mkmlizer
Waiting for job on hastagaras-llama-3-8b-okay-v7-mkmlizer to finish
hastagaras-llama-3-8b-okay-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║     _____            __           __                                ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║       /___/                                                         ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  Version: 0.8.10                                                    ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  belonging to:                                                      ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-okay-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama-3-8b-okay-v7-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-llama-3-8b-okay-v7-mkmlizer:   warnings.warn(warning_message, FutureWarning)
hastagaras-llama-3-8b-okay-v7-mkmlizer: Downloaded to shared memory in 16.322s
hastagaras-llama-3-8b-okay-v7-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama-3-8b-okay-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama-3-8b-okay-v7-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:  54%|█████▍    | 158/291 [00:01<00:00, 157.43it/s]
Loading 0:  99%|█████████▊| 287/291 [00:06<00:00, 37.80it/s] 
                                                            
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama-3-8b-okay-v7-mkmlizer: quantized model in 16.879s
hastagaras-llama-3-8b-okay-v7-mkmlizer: Processed model Hastagaras/llama-3-8b-okay in 34.080s
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v7/flywheel_model.0.safetensors
hastagaras-llama-3-8b-okay-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama-3-8b-okay-v7-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-llama-3-8b-okay-v7-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-okay-v7-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-llama-3-8b-okay-v7-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-okay-v7-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-llama-3-8b-okay-v7-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-okay-v7-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-llama-3-8b-okay-v7-mkmlizer:   return self.fget.__get__(instance, owner)()
hastagaras-llama-3-8b-okay-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama-3-8b-okay-v7-mkmlizer: Saving duration: 0.212s
hastagaras-llama-3-8b-okay-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.753s
hastagaras-llama-3-8b-okay-v7-mkmlizer: creating bucket guanaco-reward-models
hastagaras-llama-3-8b-okay-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-llama-3-8b-okay-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/config.json
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/tokenizer_config.json
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/vocab.json
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/special_tokens_map.json
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/merges.txt
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/tokenizer.json
hastagaras-llama-3-8b-okay-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v7_reward/reward.tensors
Job hastagaras-llama-3-8b-okay-v7-mkmlizer completed after 63.31s with status: succeeded
Stopping job with name hastagaras-llama-3-8b-okay-v7-mkmlizer
Pipeline stage MKMLizer completed in 67.95s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama-3-8b-okay-v7
Waiting for inference service hastagaras-llama-3-8b-okay-v7 to be ready
Inference service hastagaras-llama-3-8b-okay-v7 ready after 30.205750465393066s
Pipeline stage ISVCDeployer completed in 37.97s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2118172645568848s
Received healthy response to inference request in 1.276747465133667s
Received healthy response to inference request in 1.3596725463867188s
Received healthy response to inference request in 1.3365046977996826s
Received healthy response to inference request in 1.277660846710205s
5 requests
0 failed requests
5th percentile: 1.2769301414489747
10th percentile: 1.2771128177642823
20th percentile: 1.2774781703948974
30th percentile: 1.2894296169281005
40th percentile: 1.3129671573638917
50th percentile: 1.3365046977996826
60th percentile: 1.3457718372344971
70th percentile: 1.3550389766693116
80th percentile: 1.5301014900207521
90th percentile: 1.8709593772888184
95th percentile: 2.0413883209228514
99th percentile: 2.177731475830078
mean time: 1.4924805641174317
Pipeline stage StressChecker completed in 8.28s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-llama-3-8b-okay_v7 status is now deployed due to DeploymentManager action
hastagaras-llama-3-8b-okay_v7 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.