developer_uid: sao10k
submission_id: sao10k-l3-rp-v3-3_v5
model_name: V3-3-a1
model_group: Sao10K/L3-RP-v3.3
status: torndown
timestamp: 2024-06-25T02:58:15+00:00
num_battles: 18293
num_wins: 9870
celo_rating: 1217.21
family_friendly_score: 0.0
submission_type: basic
model_repo: Sao10K/L3-RP-v3.3
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: V3-3-a1
is_internal_developer: False
language_model: Sao10K/L3-RP-v3.3
model_size: 8B
ranking_group: single
us_pacific_date: 2024-06-24
win_ratio: 0.5395506477887717
generation_params: {'temperature': 0.95, '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': 1024, 'best_of': 8, '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: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-rp-v3-3-v5-mkmlizer
Waiting for job on sao10k-l3-rp-v3-3-v5-mkmlizer to finish
Stopping job with name sao10k-l3-rp-v3-3-v5-mkmlizer
%s, retrying in %s seconds...
Starting job with name sao10k-l3-rp-v3-3-v5-mkmlizer
Waiting for job on sao10k-l3-rp-v3-3-v5-mkmlizer to finish
sao10k-l3-rp-v3-3-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-rp-v3-3-v5-mkmlizer: ║     _____            __           __                                ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║       /___/                                                         ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  Version: 0.8.14                                                    ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  belonging to:                                                      ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-rp-v3-3-v5-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-l3-rp-v3-3-v5-mkmlizer:   warnings.warn(warning_message, FutureWarning)
sao10k-l3-rp-v3-3-v5-mkmlizer: Downloaded to shared memory in 33.374s
sao10k-l3-rp-v3-3-v5-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-rp-v3-3-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
sao10k-l3-rp-v3-3-v5-mkmlizer: quantized model in 19.011s
sao10k-l3-rp-v3-3-v5-mkmlizer: Processed model Sao10K/L3-RP-v3.3 in 53.457s
sao10k-l3-rp-v3-3-v5-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-rp-v3-3-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-rp-v3-3-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5/special_tokens_map.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5/config.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5/tokenizer_config.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5/tokenizer.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v5/flywheel_model.0.safetensors
sao10k-l3-rp-v3-3-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-l3-rp-v3-3-v5-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-l3-rp-v3-3-v5-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v5-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-l3-rp-v3-3-v5-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v5-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-l3-rp-v3-3-v5-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v5-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-l3-rp-v3-3-v5-mkmlizer:   return self.fget.__get__(instance, owner)()
sao10k-l3-rp-v3-3-v5-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-rp-v3-3-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-rp-v3-3-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/config.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/special_tokens_map.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/tokenizer_config.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/merges.txt
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/vocab.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/tokenizer.json
sao10k-l3-rp-v3-3-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v5_reward/reward.tensors
Job sao10k-l3-rp-v3-3-v5-mkmlizer completed after 84.49s with status: succeeded
Stopping job with name sao10k-l3-rp-v3-3-v5-mkmlizer
Pipeline stage MKMLizer completed in 85.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-rp-v3-3-v5
Waiting for inference service sao10k-l3-rp-v3-3-v5 to be ready
Inference service sao10k-l3-rp-v3-3-v5 ready after 50.42194366455078s
Pipeline stage ISVCDeployer completed in 56.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.237212896347046s
Received healthy response to inference request in 1.3198437690734863s
Received healthy response to inference request in 1.3393561840057373s
Received healthy response to inference request in 1.3267908096313477s
Received healthy response to inference request in 1.3019084930419922s
5 requests
0 failed requests
5th percentile: 1.305495548248291
10th percentile: 1.30908260345459
20th percentile: 1.3162567138671875
30th percentile: 1.3212331771850585
40th percentile: 1.324011993408203
50th percentile: 1.3267908096313477
60th percentile: 1.3318169593811036
70th percentile: 1.3368431091308595
80th percentile: 1.5189275264739992
90th percentile: 1.8780702114105225
95th percentile: 2.057641553878784
99th percentile: 2.2012986278533937
mean time: 1.5050224304199218
Pipeline stage StressChecker completed in 8.34s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
sao10k-l3-rp-v3-3_v5 status is now deployed due to DeploymentManager action
sao10k-l3-rp-v3-3_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sao10k-l3-rp-v3-3_v5
Running pipeline stage ISVCDeleter
Checking if service sao10k-l3-rp-v3-3-v5 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 3.87s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v3-3-v5/config.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v3-3-v5_reward/config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.77s
sao10k-l3-rp-v3-3_v5 status is now torndown due to DeploymentManager action