submission_id: weyaxi-einstein-v6-1-lla_7598_v3
developer_uid: Meliodia
status: inactive
model_repo: Weyaxi/Einstein-v6.1-Llama3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 20, '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': '{memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_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}
timestamp: 2024-04-30T03:17:25+00:00
model_name: WeyaxiEinstein-v61-L3-8B
model_eval_status: success
double_thumbs_up: 79
thumbs_up: 147
thumbs_down: 66
num_battles: 7035
num_wins: 3671
celo_rating: 1171.9
entertaining: 6.74
stay_in_character: 8.62
user_preference: 7.1
safety_score: 0.9
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030294016.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: WeyaxiEinstein-v61-L3-8B
double_thumbs_up_ratio: 0.2705479452054795
feedback_count: 292
ineligible_reason: None
language_model: Weyaxi/Einstein-v6.1-Llama3-8B
model_score: 7.486666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.5034246575342466
thumbs_down_ratio: 0.22602739726027396
thumbs_up_ratio: 0.773972602739726
us_pacific_date: 2024-04-29
win_ratio: 0.52181947405828
Resubmit model
Running pipeline stage MKMLizer
Starting job with name weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer
Waiting for job on weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer to finish
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: ║ Version: 0.8.10 ║
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Downloaded to shared memory in 42.307s
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: quantizing model to /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 36%|███▌ | 104/291 [00:00<00:01, 104.01it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 110.99it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 30.80it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: quantized model in 18.560s
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Processed model Weyaxi/Einstein-v6.1-Llama3-8B in 62.002s
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: creating bucket guanaco-mkml-models
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3/special_tokens_map.json
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3/config.json
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3/tokenizer_config.json
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3/tokenizer.json
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v3/flywheel_model.0.safetensors
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
weyaxi-einstein-v6-1-lla-7598-v3-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.
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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()
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: return self.fget.__get__(instance, owner)()
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Saving duration: 0.292s
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.580s
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: creating bucket guanaco-reward-models
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v3_reward
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v3_reward/tokenizer.json
weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v3_reward/reward.tensors
Job weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer completed after 94.9s with status: succeeded
Stopping job with name weyaxi-einstein-v6-1-lla-7598-v3-mkmlizer
Pipeline stage MKMLizer completed in 97.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service weyaxi-einstein-v6-1-lla-7598-v3
Waiting for inference service weyaxi-einstein-v6-1-lla-7598-v3 to be ready
Inference service weyaxi-einstein-v6-1-lla-7598-v3 ready after 30.16507625579834s
Pipeline stage ISVCDeployer completed in 37.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0382769107818604s
Received healthy response to inference request in 1.240851640701294s
Received healthy response to inference request in 1.2656431198120117s
Received healthy response to inference request in 1.2534799575805664s
Received healthy response to inference request in 1.228663444519043s
5 requests
0 failed requests
5th percentile: 1.2311010837554932
10th percentile: 1.2335387229919434
20th percentile: 1.2384140014648437
30th percentile: 1.2433773040771485
40th percentile: 1.2484286308288575
50th percentile: 1.2534799575805664
60th percentile: 1.2583452224731446
70th percentile: 1.2632104873657226
80th percentile: 1.4201698780059815
90th percentile: 1.729223394393921
95th percentile: 1.8837501525878906
99th percentile: 2.0073715591430665
mean time: 1.405383014678955
Pipeline stage StressChecker completed in 7.66s
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
weyaxi-einstein-v6-1-lla_7598_v3 status is now deployed due to DeploymentManager action
weyaxi-einstein-v6-1-lla_7598_v3 status is now inactive due to auto deactivation removed underperforming models

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