submission_id: sao10k-70b-final_v1
developer_uid: sao10k
status: inactive
model_repo: Sao10K/70B-Final
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.075, 'top_k': 60, '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: 2024-06-12T18:19:40+00:00
model_name: v2-l3-70b-test-90percent
model_eval_status: success
model_group: Sao10K/70B-Final
num_battles: 19890
num_wins: 11215
celo_rating: 1221.62
propriety_score: 0.7037613799712505
propriety_total_count: 8348.0
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-l3-70b-test-90percent
ineligible_reason: None
language_model: Sao10K/70B-Final
model_size: 71B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5638511814982403
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-70b-final-v1-mkmlizer
Waiting for job on sao10k-70b-final-v1-mkmlizer to finish
sao10k-70b-final-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-70b-final-v1-mkmlizer: ║ _____ __ __ ║
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sao10k-70b-final-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-70b-final-v1-mkmlizer: ║ /___/ ║
sao10k-70b-final-v1-mkmlizer: ║ ║
sao10k-70b-final-v1-mkmlizer: ║ Version: 0.8.14 ║
sao10k-70b-final-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-70b-final-v1-mkmlizer: ║ https://mk1.ai ║
sao10k-70b-final-v1-mkmlizer: ║ ║
sao10k-70b-final-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-70b-final-v1-mkmlizer: ║ belonging to: ║
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sao10k-70b-final-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-70b-final-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-70b-final-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-70b-final-v1-mkmlizer: ║ ║
sao10k-70b-final-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-70b-final-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.
sao10k-70b-final-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
sao10k-70b-final-v1-mkmlizer: Downloaded to shared memory in 289.595s
sao10k-70b-final-v1-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-70b-final-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
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sao10k-70b-final-v1-mkmlizer: Processed model Sao10K/70B-Final in 443.942s
sao10k-70b-final-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-70b-final-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-70b-final-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-70b-final-v1
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-70b-final-v1/config.json
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-70b-final-v1/tokenizer_config.json
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-70b-final-v1/special_tokens_map.json
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-70b-final-v1/tokenizer.json
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.5.safetensors
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.0.safetensors
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.2.safetensors
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.3.safetensors
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.4.safetensors
sao10k-70b-final-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/sao10k-70b-final-v1/flywheel_model.1.safetensors
sao10k-70b-final-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-70b-final-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.
sao10k-70b-final-v1-mkmlizer: warnings.warn(
sao10k-70b-final-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.
sao10k-70b-final-v1-mkmlizer: warnings.warn(
sao10k-70b-final-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.
sao10k-70b-final-v1-mkmlizer: warnings.warn(
sao10k-70b-final-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()
sao10k-70b-final-v1-mkmlizer: return self.fget.__get__(instance, owner)()
sao10k-70b-final-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-70b-final-v1-mkmlizer: Saving duration: 0.407s
sao10k-70b-final-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.603s
sao10k-70b-final-v1-mkmlizer: creating bucket guanaco-reward-models
sao10k-70b-final-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-70b-final-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-70b-final-v1_reward
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-70b-final-v1_reward/special_tokens_map.json
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-70b-final-v1_reward/merges.txt
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-70b-final-v1_reward/vocab.json
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-70b-final-v1_reward/tokenizer_config.json
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-70b-final-v1_reward/config.json
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-70b-final-v1_reward/tokenizer.json
sao10k-70b-final-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-70b-final-v1_reward/reward.tensors
Job sao10k-70b-final-v1-mkmlizer completed after 502.01s with status: succeeded
Stopping job with name sao10k-70b-final-v1-mkmlizer
Pipeline stage MKMLizer completed in 506.12s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-70b-final-v1
Waiting for inference service sao10k-70b-final-v1 to be ready
Inference service sao10k-70b-final-v1 ready after 120.64285087585449s
Pipeline stage ISVCDeployer completed in 127.69s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.1754350662231445s
Received healthy response to inference request in 4.268790006637573s
Received healthy response to inference request in 3.2668211460113525s
Received healthy response to inference request in 4.186568975448608s
Received healthy response to inference request in 4.219989538192749s
5 requests
0 failed requests
5th percentile: 3.450770711898804
10th percentile: 3.634720277786255
20th percentile: 4.002619409561158
30th percentile: 4.193253087997436
40th percentile: 4.206621313095093
50th percentile: 4.219989538192749
60th percentile: 4.239509725570679
70th percentile: 4.259029912948608
80th percentile: 4.4501190185546875
90th percentile: 4.812777042388916
95th percentile: 4.99410605430603
99th percentile: 5.1391692638397215
mean time: 4.223520946502686
Pipeline stage StressChecker completed in 21.83s
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-70b-final_v1 status is now deployed due to DeploymentManager action
sao10k-70b-final_v1 status is now inactive due to auto deactivation removed underperforming models

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