submission_id: weyaxi-einstein-v6-1-lla_7598_v4
developer_uid: SnowfallFrost1
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: 2024-05-01T11:33:32+00:00
model_name: WeyaxiEinstein-v61-L3-8B
model_eval_status: success
double_thumbs_up: 256
thumbs_up: 347
thumbs_down: 180
num_battles: 24261
num_wins: 12352
celo_rating: 1175.63
entertaining: 6.96
stay_in_character: 8.42
user_preference: 7.02
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: 0.3269476372924649
feedback_count: 783
ineligible_reason: None
language_model: Weyaxi/Einstein-v6.1-Llama3-8B
model_score: 7.466666666666666
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.44316730523627074
thumbs_down_ratio: 0.22988505747126436
thumbs_up_ratio: 0.7701149425287356
us_pacific_date: 2024-05-01
win_ratio: 0.5091298792300399
Resubmit model
Running pipeline stage MKMLizer
Starting job with name weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer
Waiting for job on weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer to finish
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: ║ ║
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: ║ Version: 0.8.10 ║
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
weyaxi-einstein-v6-1-lla-7598-v4-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-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Downloaded to shared memory in 26.924s
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: quantizing model to /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:01, 121.61it/s] Loading 0: 92%|█████████▏| 267/291 [00:02<00:00, 135.30it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 28.92it/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-v4-mkmlizer: quantized model in 17.651s
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Processed model Weyaxi/Einstein-v6.1-Llama3-8B in 45.734s
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: creating bucket guanaco-mkml-models
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4/special_tokens_map.json
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4/tokenizer_config.json
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4/config.json
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4/tokenizer.json
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/weyaxi-einstein-v6-1-lla-7598-v4/flywheel_model.0.safetensors
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
weyaxi-einstein-v6-1-lla-7598-v4-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-v4-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-v4-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-v4-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-v4-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-v4-mkmlizer: warnings.warn(
weyaxi-einstein-v6-1-lla-7598-v4-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-v4-mkmlizer: return self.fget.__get__(instance, owner)()
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Saving duration: 0.281s
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.497s
weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer: creating bucket guanaco-reward-models
Job weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer completed after 72.88s with status: succeeded
Stopping job with name weyaxi-einstein-v6-1-lla-7598-v4-mkmlizer
Pipeline stage MKMLizer completed in 76.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service weyaxi-einstein-v6-1-lla-7598-v4
Waiting for inference service weyaxi-einstein-v6-1-lla-7598-v4 to be ready
Inference service weyaxi-einstein-v6-1-lla-7598-v4 ready after 30.219767808914185s
Pipeline stage ISVCDeployer completed in 37.15s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0407567024230957s
Received healthy response to inference request in 1.241241216659546s
Received healthy response to inference request in 1.23313570022583s
Received healthy response to inference request in 1.2100441455841064s
Received healthy response to inference request in 1.2114570140838623s
5 requests
0 failed requests
5th percentile: 1.2103267192840577
10th percentile: 1.2106092929840089
20th percentile: 1.211174440383911
30th percentile: 1.215792751312256
40th percentile: 1.224464225769043
50th percentile: 1.23313570022583
60th percentile: 1.2363779067993164
70th percentile: 1.2396201133728026
80th percentile: 1.4011443138122561
90th percentile: 1.720950508117676
95th percentile: 1.8808536052703855
99th percentile: 2.008776082992554
mean time: 1.387326955795288
Pipeline stage StressChecker completed in 7.60s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
weyaxi-einstein-v6-1-lla_7598_v4 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
weyaxi-einstein-v6-1-lla_7598_v4 status is now inactive due to auto deactivation removed underperforming models

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