submission_id: akumaburn-alpaca-llama-3-8b_v3
developer_uid: akumaburn
status: torndown
model_repo: akumaburn/Alpaca-Llama-3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.82, 'top_p': 0.85, '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}\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", '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}
timestamp: 2024-04-25T11:38:36+00:00
model_name: akumaburn-alpaca-llama-3-8b_v1
model_eval_status: success
model_group: akumaburn/Alpaca-Llama-3
num_battles: 5930
num_wins: 2841
celo_rating: 1136.31
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_v1
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: 0.4790893760539629
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name akumaburn-alpaca-llama-3-8b-v3-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v3-mkmlizer to finish
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ _____ __ __ ║
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akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ /___/ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ Version: 0.8.10 ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ belonging to: ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ Chai Research Corp. ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
akumaburn-alpaca-llama-3-8b-v3-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-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Downloaded to shared memory in 21.649s
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 138.88it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 37.59it/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-v3-mkmlizer: quantized model in 17.361s
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Processed model akumaburn/Alpaca-Llama-3-8B in 40.060s
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: creating bucket guanaco-mkml-models
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3/config.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3/tokenizer.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v3/flywheel_model.0.safetensors
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
akumaburn-alpaca-llama-3-8b-v3-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-v3-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-v3-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-v3-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-v3-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-v3-mkmlizer: return self.fget.__get__(instance, owner)()
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Saving duration: 0.230s
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.769s
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: creating bucket guanaco-reward-models
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/config.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/merges.txt
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/vocab.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/tokenizer.json
akumaburn-alpaca-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v3_reward/reward.tensors
Job akumaburn-alpaca-llama-3-8b-v3-mkmlizer completed after 77.2s with status: succeeded
Stopping job with name akumaburn-alpaca-llama-3-8b-v3-mkmlizer
Pipeline stage MKMLizer completed in 84.25s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service akumaburn-alpaca-llama-3-8b-v3
Waiting for inference service akumaburn-alpaca-llama-3-8b-v3 to be ready
Inference service akumaburn-alpaca-llama-3-8b-v3 ready after 30.24885082244873s
Pipeline stage ISVCDeployer completed in 38.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.996502161026001s
Received healthy response to inference request in 1.6151883602142334s
Received healthy response to inference request in 1.1901724338531494s
Received healthy response to inference request in 1.1700708866119385s
Received healthy response to inference request in 1.1562731266021729s
5 requests
0 failed requests
5th percentile: 1.159032678604126
10th percentile: 1.161792230606079
20th percentile: 1.1673113346099853
30th percentile: 1.1740911960601808
40th percentile: 1.182131814956665
50th percentile: 1.1901724338531494
60th percentile: 1.3601788043975829
70th percentile: 1.5301851749420166
80th percentile: 1.691451120376587
90th percentile: 1.8439766407012939
95th percentile: 1.9202394008636474
99th percentile: 1.9812496089935303
mean time: 1.4256413936614991
Pipeline stage StressChecker completed in 8.02s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
akumaburn-alpaca-llama-3-8b_v3 status is now deployed due to DeploymentManager action
akumaburn-alpaca-llama-3-8b_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of akumaburn-alpaca-llama-3-8b_v3
Running pipeline stage ISVCDeleter
Checking if service akumaburn-alpaca-llama-3-8b-v3 is running
Tearing down inference service akumaburn-alpaca-llama-3-8b-v3
Toredown service akumaburn-alpaca-llama-3-8b-v3
Pipeline stage ISVCDeleter completed in 5.30s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v3/config.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.72s
akumaburn-alpaca-llama-3-8b_v3 status is now torndown due to DeploymentManager action

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