submission_id: sao10k-euryale-v2-1-zeta_v2
developer_uid: sao10k
status: inactive
model_repo: Sao10K/Euryale-v2.1-Zeta
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.12, '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': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\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}
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: 2024-06-12T13:17:40+00:00
model_name: v2-2-l3-70b-euryale-test-alpha
model_eval_status: success
model_group: Sao10K/Euryale-v2.1-Zeta
num_battles: 29100
num_wins: 14647
celo_rating: 1174.83
propriety_score: 0.6749499666444296
propriety_total_count: 11992.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 70553706496.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: v2-2-l3-70b-euryale-test-alpha
ineligible_reason: None
language_model: Sao10K/Euryale-v2.1-Zeta
model_size: 71B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5033333333333333
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-euryale-v2-1-zeta-v2-mkmlizer
Waiting for job on sao10k-euryale-v2-1-zeta-v2-mkmlizer to finish
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ _____ __ __ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ /___/ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ Version: 0.8.14 ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ https://mk1.ai ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ belonging to: ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ Chai Research Corp. ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ║ ║
sao10k-euryale-v2-1-zeta-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-euryale-v2-1-zeta-v2-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.
sao10k-euryale-v2-1-zeta-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Downloaded to shared memory in 218.527s
sao10k-euryale-v2-1-zeta-v2-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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sao10k-euryale-v2-1-zeta-v2-mkmlizer: quantized model in 120.032s
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Processed model Sao10K/Euryale-v2.1-Zeta in 351.446s
sao10k-euryale-v2-1-zeta-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-euryale-v2-1-zeta-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/special_tokens_map.json
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/tokenizer_config.json
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/config.json
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/tokenizer.json
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.5.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.1.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.0.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.4.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.3.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/sao10k-euryale-v2-1-zeta-v2/flywheel_model.2.safetensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-euryale-v2-1-zeta-v2-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.
sao10k-euryale-v2-1-zeta-v2-mkmlizer: warnings.warn(
sao10k-euryale-v2-1-zeta-v2-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.
sao10k-euryale-v2-1-zeta-v2-mkmlizer: warnings.warn(
sao10k-euryale-v2-1-zeta-v2-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.
sao10k-euryale-v2-1-zeta-v2-mkmlizer: warnings.warn(
sao10k-euryale-v2-1-zeta-v2-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()
sao10k-euryale-v2-1-zeta-v2-mkmlizer: return self.fget.__get__(instance, owner)()
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Saving duration: 0.263s
sao10k-euryale-v2-1-zeta-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.301s
sao10k-euryale-v2-1-zeta-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-euryale-v2-1-zeta-v2_reward/reward.tensors
Job sao10k-euryale-v2-1-zeta-v2-mkmlizer completed after 399.42s with status: succeeded
Stopping job with name sao10k-euryale-v2-1-zeta-v2-mkmlizer
Pipeline stage MKMLizer completed in 404.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-euryale-v2-1-zeta-v2
Waiting for inference service sao10k-euryale-v2-1-zeta-v2 to be ready
Inference service sao10k-euryale-v2-1-zeta-v2 ready after 90.50907111167908s
Pipeline stage ISVCDeployer completed in 97.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.216177463531494s
Received healthy response to inference request in 2.303384304046631s
Received healthy response to inference request in 3.8340296745300293s
Received healthy response to inference request in 3.6232264041900635s
Received healthy response to inference request in 4.270919561386108s
5 requests
0 failed requests
5th percentile: 2.5673527240753176
10th percentile: 2.831321144104004
20th percentile: 3.3592579841613768
30th percentile: 3.6653870582580566
40th percentile: 3.749708366394043
50th percentile: 3.8340296745300293
60th percentile: 4.008785629272461
70th percentile: 4.183541584014892
80th percentile: 4.459971141815186
90th percentile: 4.8380743026733395
95th percentile: 5.027125883102417
99th percentile: 5.1783671474456785
mean time: 3.8495474815368653
Pipeline stage StressChecker completed in 19.95s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
sao10k-euryale-v2-1-zeta_v2 status is now deployed due to DeploymentManager action
sao10k-euryale-v2-1-zeta_v2 status is now inactive due to auto deactivation removed underperforming models

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