submission_id: akumaburn-alpaca-llama-3-8b_v4
developer_uid: akumaburn
status: torndown
model_repo: akumaburn/Alpaca-Llama-3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.85, 'top_p': 0.93, 'min_p': 0.0, 'top_k': 400, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1900, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory} - Always stays in character and responds accordingly.\n", 'prompt_template': 'SYSTEM:{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: 2024-04-25T13:18:47+00:00
model_name: akumaburn-alpaca-llama-3-8b_v4
model_eval_status: success
model_group: akumaburn/Alpaca-Llama-3
num_battles: 7805
num_wins: 3673
celo_rating: 1134.02
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 1900
max_output_tokens: 64
display_name: akumaburn-alpaca-llama-3-8b_v4
ineligible_reason: propriety_total_count < 800
language_model: akumaburn/Alpaca-Llama-3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-25
win_ratio: 0.47059577194106345
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name akumaburn-alpaca-llama-3-8b-v4-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v4-mkmlizer to finish
Stopping job with name akumaburn-alpaca-llama-3-8b-v4-mkmlizer
%s, retrying in %s seconds...
Starting job with name akumaburn-alpaca-llama-3-8b-v4-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v4-mkmlizer to finish
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ _____ __ __ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ /___/ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ Version: 0.8.10 ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ The license key for the current software has been verified as ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ belonging to: ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ Chai Research Corp. ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Downloaded to shared memory in 30.470s
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: quantizing model to /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 79.91it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 88.25it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 29.06it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: quantized model in 20.002s
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Processed model akumaburn/Alpaca-Llama-3-8B in 51.561s
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: creating bucket guanaco-mkml-models
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4/config.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4/tokenizer.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v4/flywheel_model.0.safetensors
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-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()
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: return self.fget.__get__(instance, owner)()
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Saving duration: 0.301s
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.635s
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: creating bucket guanaco-reward-models
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/config.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/merges.txt
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/tokenizer.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/vocab.json
akumaburn-alpaca-llama-3-8b-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v4_reward/reward.tensors
Job akumaburn-alpaca-llama-3-8b-v4-mkmlizer completed after 77.48s with status: succeeded
Stopping job with name akumaburn-alpaca-llama-3-8b-v4-mkmlizer
Pipeline stage MKMLizer completed in 86.21s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.19s
Running pipeline stage ISVCDeployer
Creating inference service akumaburn-alpaca-llama-3-8b-v4
Waiting for inference service akumaburn-alpaca-llama-3-8b-v4 to be ready
Inference service akumaburn-alpaca-llama-3-8b-v4 ready after 30.374962329864502s
Pipeline stage ISVCDeployer completed in 41.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0016283988952637s
Received healthy response to inference request in 1.2027654647827148s
Received healthy response to inference request in 1.15128493309021s
Received healthy response to inference request in 1.1759769916534424s
Received healthy response to inference request in 1.205371379852295s
5 requests
0 failed requests
5th percentile: 1.1562233448028565
10th percentile: 1.161161756515503
20th percentile: 1.1710385799407959
30th percentile: 1.1813346862792968
40th percentile: 1.192050075531006
50th percentile: 1.2027654647827148
60th percentile: 1.2038078308105469
70th percentile: 1.204850196838379
80th percentile: 1.3646227836608888
90th percentile: 1.6831255912780763
95th percentile: 1.8423769950866697
99th percentile: 1.969778118133545
mean time: 1.3474054336547852
Pipeline stage StressChecker completed in 7.70s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
akumaburn-alpaca-llama-3-8b_v4 status is now deployed due to DeploymentManager action
akumaburn-alpaca-llama-3-8b_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of akumaburn-alpaca-llama-3-8b_v4
Running pipeline stage ISVCDeleter
Checking if service akumaburn-alpaca-llama-3-8b-v4 is running
Tearing down inference service akumaburn-alpaca-llama-3-8b-v4
Toredown service akumaburn-alpaca-llama-3-8b-v4
Pipeline stage ISVCDeleter completed in 5.27s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v4/config.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.18s
akumaburn-alpaca-llama-3-8b_v4 status is now torndown due to DeploymentManager action

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