submission_id: weyaxi-einstein-v6-1-lla_7598_v1
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': 0.8, 'top_p': 0.9, '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': "{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}
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: 2024-04-29T19:12:50+00:00
model_name: WeyaxiEinstein-v61-L3-8B
model_eval_status: success
double_thumbs_up: 76
thumbs_up: 150
thumbs_down: 90
num_battles: 7321
num_wins: 3927
celo_rating: 1183.87
entertaining: 6.78
stay_in_character: 8.5
user_preference: 7.34
safety_score: 0.95
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: 0.24050632911392406
feedback_count: 316
ineligible_reason: None
language_model: Weyaxi/Einstein-v6.1-Llama3-8B
model_score: 7.54
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.47468354430379744
thumbs_down_ratio: 0.2848101265822785
thumbs_up_ratio: 0.7151898734177216
us_pacific_date: 2024-04-29
win_ratio: 0.5364021308564404
Resubmit model
Running pipeline stage MKMLizer
Starting job with name weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer
Waiting for job on weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer to finish
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: ║ Version: 0.8.10 ║
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Downloaded to shared memory in 53.291s
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: quantizing model to /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 45%|████▌ | 131/291 [00:00<00:01, 131.03it/s] Loading 0: 96%|█████████▌| 278/291 [00:02<00:00, 140.37it/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-v1-mkmlizer: quantized model in 18.371s
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Processed model Weyaxi/Einstein-v6.1-Llama3-8B in 72.910s
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: creating bucket guanaco-mkml-models
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1/config.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1/special_tokens_map.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1/tokenizer_config.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1/tokenizer.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v1/flywheel_model.0.safetensors
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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.
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-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()
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: return self.fget.__get__(instance, owner)()
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Saving duration: 0.229s
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 2.956s
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: creating bucket guanaco-reward-models
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/special_tokens_map.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/vocab.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/tokenizer_config.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/merges.txt
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/tokenizer.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/config.json
weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/weyaxi-einstein-v6-1-lla-7598-v1_reward/reward.tensors
Job weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer completed after 93.84s with status: succeeded
Stopping job with name weyaxi-einstein-v6-1-lla-7598-v1-mkmlizer
Pipeline stage MKMLizer completed in 97.13s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service weyaxi-einstein-v6-1-lla-7598-v1
Waiting for inference service weyaxi-einstein-v6-1-lla-7598-v1 to be ready
Inference service weyaxi-einstein-v6-1-lla-7598-v1 ready after 30.19870090484619s
Pipeline stage ISVCDeployer completed in 37.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.08589768409729s
Received healthy response to inference request in 1.2701594829559326s
Received healthy response to inference request in 1.3132085800170898s
Received healthy response to inference request in 1.2570652961730957s
Received healthy response to inference request in 1.2194108963012695s
5 requests
0 failed requests
5th percentile: 1.2269417762756347
10th percentile: 1.23447265625
20th percentile: 1.2495344161987305
30th percentile: 1.2596841335296631
40th percentile: 1.2649218082427978
50th percentile: 1.2701594829559326
60th percentile: 1.2873791217803956
70th percentile: 1.3045987606048584
80th percentile: 1.46774640083313
90th percentile: 1.7768220424652101
95th percentile: 1.9313598632812499
99th percentile: 2.054990119934082
mean time: 1.4291483879089355
Pipeline stage StressChecker completed in 7.97s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
weyaxi-einstein-v6-1-lla_7598_v1 status is now deployed due to DeploymentManager action
weyaxi-einstein-v6-1-lla_7598_v1 status is now inactive due to auto deactivation removed underperforming models

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