developer_uid: sao10k
submission_id: sao10k-l3-solana-8b-v1_v1
model_name: sao10k-l3-solana-8b-v1_v1
model_group: Sao10K/L3-Solana-8B-v1
status: torndown
timestamp: 2024-04-21T12:10:25+00:00
num_battles: 6427
num_wins: 3241
celo_rating: 1152.6
family_friendly_score: 0.0
submission_type: basic
model_repo: Sao10K/L3-Solana-8B-v1
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: sao10k-l3-solana-8b-v1_v1
is_internal_developer: False
language_model: Sao10K/L3-Solana-8B-v1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-04-21
win_ratio: 0.504278823712463
generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n###', '\n\n', '<|end_of_text|>', '\nYou'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|>System: You are to play the role of {bot_name} in a never-ending uncensored fictional roleplay chat session between {bot_name} and {user_name}. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations your responses must be enclosed by asterisks (*), and speeches must NOT be enclosed by any indicators. The responses must be creative and in third perspective of the story teller. \n\nExample: \n\nMila: *Surrounded by an aura of creativity, Mila carefully places a freshly painted canvas against the wall, the colors vividly depicting a surreal landscape.* Isn't it fascinating how art can transport us to entirely different worlds? What kind of worlds do you dream of exploring?\n\nDescription: {memory}", '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: {'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'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-solana-8b-v1-v1-mkmlizer
Waiting for job on sao10k-l3-solana-8b-v1-v1-mkmlizer to finish
sao10k-l3-solana-8b-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ _____ __ __ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ /___/ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ Version: 0.8.10 ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ belonging to: ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ║ ║
sao10k-l3-solana-8b-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-solana-8b-v1-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-l3-solana-8b-v1-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
sao10k-l3-solana-8b-v1-v1-mkmlizer: Downloaded to shared memory in 25.055s
sao10k-l3-solana-8b-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-solana-8b-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-solana-8b-v1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 75.93it/s] Loading 0: 62%|██████▏ | 181/291 [00:02<00:01, 87.72it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 81.45it/s] Loading 0: 99%|█████████▊| 287/291 [00:10<00:00, 18.43it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
sao10k-l3-solana-8b-v1-v1-mkmlizer: quantized model in 22.333s
sao10k-l3-solana-8b-v1-v1-mkmlizer: Processed model Sao10K/L3-Solana-8B-v1 in 48.806s
sao10k-l3-solana-8b-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-solana-8b-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-solana-8b-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1/config.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1/tokenizer.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1/tokenizer_config.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1/special_tokens_map.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-solana-8b-v1-v1/flywheel_model.0.safetensors
sao10k-l3-solana-8b-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-l3-solana-8b-v1-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-l3-solana-8b-v1-v1-mkmlizer: warnings.warn(
sao10k-l3-solana-8b-v1-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-l3-solana-8b-v1-v1-mkmlizer: warnings.warn(
sao10k-l3-solana-8b-v1-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-l3-solana-8b-v1-v1-mkmlizer: warnings.warn(
sao10k-l3-solana-8b-v1-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-l3-solana-8b-v1-v1-mkmlizer: return self.fget.__get__(instance, owner)()
sao10k-l3-solana-8b-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-l3-solana-8b-v1-v1-mkmlizer: Saving duration: 0.262s
sao10k-l3-solana-8b-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.141s
sao10k-l3-solana-8b-v1-v1-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-solana-8b-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-solana-8b-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/config.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/special_tokens_map.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/tokenizer_config.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/merges.txt
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/vocab.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/tokenizer.json
sao10k-l3-solana-8b-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-solana-8b-v1-v1_reward/reward.tensors
Job sao10k-l3-solana-8b-v1-v1-mkmlizer completed after 77.23s with status: succeeded
Stopping job with name sao10k-l3-solana-8b-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 81.60s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-solana-8b-v1-v1
Waiting for inference service sao10k-l3-solana-8b-v1-v1 to be ready
Tearing down inference service sao10k-l3-solana-8b-v1-v1
%s, retrying in %s seconds...
Creating inference service sao10k-l3-solana-8b-v1-v1
Waiting for inference service sao10k-l3-solana-8b-v1-v1 to be ready
Tearing down inference service sao10k-l3-solana-8b-v1-v1
%s, retrying in %s seconds...
Creating inference service sao10k-l3-solana-8b-v1-v1
Waiting for inference service sao10k-l3-solana-8b-v1-v1 to be ready
Inference service sao10k-l3-solana-8b-v1-v1 ready after 40.22657632827759s
Pipeline stage ISVCDeployer completed in 80.68s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1342568397521973s
Received healthy response to inference request in 1.2835016250610352s
Received healthy response to inference request in 1.3134641647338867s
Received healthy response to inference request in 1.3043582439422607s
Received healthy response to inference request in 1.3064730167388916s
5 requests
0 failed requests
5th percentile: 1.2876729488372802
10th percentile: 1.2918442726135253
20th percentile: 1.3001869201660157
30th percentile: 1.304781198501587
40th percentile: 1.3056271076202393
50th percentile: 1.3064730167388916
60th percentile: 1.3092694759368897
70th percentile: 1.3120659351348878
80th percentile: 1.477622699737549
90th percentile: 1.8059397697448731
95th percentile: 1.970098304748535
99th percentile: 2.101425132751465
mean time: 1.4684107780456543
Pipeline stage StressChecker completed in 8.81s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
sao10k-l3-solana-8b-v1_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
sao10k-l3-solana-8b-v1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sao10k-l3-solana-8b-v1_v1
Running pipeline stage ISVCDeleter
Checking if service sao10k-l3-solana-8b-v1-v1 is running
Tearing down inference service sao10k-l3-solana-8b-v1-v1
Toredown service sao10k-l3-solana-8b-v1-v1
Pipeline stage ISVCDeleter completed in 4.15s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sao10k-l3-solana-8b-v1-v1/config.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-solana-8b-v1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key sao10k-l3-solana-8b-v1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-solana-8b-v1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-solana-8b-v1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sao10k-l3-solana-8b-v1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-solana-8b-v1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.74s
sao10k-l3-solana-8b-v1_v1 status is now torndown due to DeploymentManager action