submission_id: akumaburn-alpaca-llama-3-8b_v5
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': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}. Write {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. 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 must be enclosed in asterisks (*). The responses must be long and in third perspective of the story teller.\n\nDescription: {memory}", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>roleplay_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", 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-25T16:00:46+00:00
model_name: akumaburn-alpaca-llama-3-8b_v5
model_eval_status: success
model_group: akumaburn/Alpaca-Llama-3
num_battles: 8674
num_wins: 4189
celo_rating: 1141.16
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_v5
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: 0.4829375144108831
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name akumaburn-alpaca-llama-3-8b-v5-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v5-mkmlizer to finish
Stopping job with name akumaburn-alpaca-llama-3-8b-v5-mkmlizer
%s, retrying in %s seconds...
Starting job with name akumaburn-alpaca-llama-3-8b-v5-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v5-mkmlizer to finish
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ _____ __ __ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ /___/ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ Version: 0.8.10 ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ The license key for the current software has been verified as ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ belonging to: ║
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akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ Chai Research Corp. ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Downloaded to shared memory in 19.883s
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: quantizing model to /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 48%|████▊ | 140/291 [00:00<00:01, 140.08it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 37.50it/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-v5-mkmlizer: quantized model in 17.301s
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Processed model akumaburn/Alpaca-Llama-3-8B in 38.205s
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: creating bucket guanaco-mkml-models
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5/config.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5/tokenizer.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v5/flywheel_model.0.safetensors
akumaburn-alpaca-llama-3-8b-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.
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-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()
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: return self.fget.__get__(instance, owner)()
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Saving duration: 0.245s
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.600s
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: creating bucket guanaco-reward-models
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/config.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/vocab.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/tokenizer.json
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/merges.txt
akumaburn-alpaca-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v5_reward/reward.tensors
Job akumaburn-alpaca-llama-3-8b-v5-mkmlizer completed after 178.83s with status: succeeded
Stopping job with name akumaburn-alpaca-llama-3-8b-v5-mkmlizer
Pipeline stage MKMLizer completed in 183.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service akumaburn-alpaca-llama-3-8b-v5
Waiting for inference service akumaburn-alpaca-llama-3-8b-v5 to be ready
Inference service akumaburn-alpaca-llama-3-8b-v5 ready after 30.229280710220337s
Pipeline stage ISVCDeployer completed in 37.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.010587692260742s
Received healthy response to inference request in 1.1903564929962158s
Received healthy response to inference request in 1.1797418594360352s
Received healthy response to inference request in 1.316157341003418s
Received healthy response to inference request in 1.1754488945007324s
5 requests
0 failed requests
5th percentile: 1.176307487487793
10th percentile: 1.1771660804748536
20th percentile: 1.1788832664489746
30th percentile: 1.1818647861480713
40th percentile: 1.1861106395721435
50th percentile: 1.1903564929962158
60th percentile: 1.2406768321990966
70th percentile: 1.2909971714019775
80th percentile: 1.455043411254883
90th percentile: 1.7328155517578125
95th percentile: 1.8717016220092773
99th percentile: 1.9828104782104492
mean time: 1.3744584560394286
Pipeline stage StressChecker completed in 7.52s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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 0.07s
akumaburn-alpaca-llama-3-8b_v5 status is now deployed due to DeploymentManager action
akumaburn-alpaca-llama-3-8b_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of akumaburn-alpaca-llama-3-8b_v5
Running pipeline stage ISVCDeleter
Checking if service akumaburn-alpaca-llama-3-8b-v5 is running
Tearing down inference service akumaburn-alpaca-llama-3-8b-v5
Toredown service akumaburn-alpaca-llama-3-8b-v5
Pipeline stage ISVCDeleter completed in 5.11s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v5/config.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.00s
akumaburn-alpaca-llama-3-8b_v5 status is now torndown due to DeploymentManager action

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