submission_id: akumaburn-alpaca-llama-3-8b_v2
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####\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': 'SYSTEM:{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-25T11:37:45+00:00
model_name: akumaburn-alpaca-llama-3-8b_v1
model_eval_status: success
model_group: akumaburn/Alpaca-Llama-3
num_battles: 6050
num_wins: 2952
celo_rating: 1142.33
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: 0.48793388429752066
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name akumaburn-alpaca-llama-3-8b-v2-mkmlizer
Waiting for job on akumaburn-alpaca-llama-3-8b-v2-mkmlizer to finish
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ _____ __ __ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ /___/ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ Version: 0.8.10 ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ belonging to: ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ Chai Research Corp. ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ║ ║
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
akumaburn-alpaca-llama-3-8b-v2-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-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Downloaded to shared memory in 19.435s
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 46%|████▌ | 134/291 [00:01<00:01, 133.68it/s] Loading 0: 97%|█████████▋| 281/291 [00:02<00:00, 141.41it/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-v2-mkmlizer: quantized model in 17.328s
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Processed model akumaburn/Alpaca-Llama-3-8B in 37.819s
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2/config.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2/tokenizer.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/akumaburn-alpaca-llama-3-8b-v2/flywheel_model.0.safetensors
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
akumaburn-alpaca-llama-3-8b-v2-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-v2-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-v2-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-v2-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-v2-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-v2-mkmlizer: warnings.warn(
akumaburn-alpaca-llama-3-8b-v2-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-v2-mkmlizer: return self.fget.__get__(instance, owner)()
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Saving duration: 0.247s
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.749s
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: creating bucket guanaco-reward-models
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/config.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/tokenizer_config.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/merges.txt
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/special_tokens_map.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/vocab.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/tokenizer.json
akumaburn-alpaca-llama-3-8b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/akumaburn-alpaca-llama-3-8b-v2_reward/reward.tensors
Job akumaburn-alpaca-llama-3-8b-v2-mkmlizer completed after 63.09s with status: succeeded
Stopping job with name akumaburn-alpaca-llama-3-8b-v2-mkmlizer
Pipeline stage MKMLizer completed in 66.91s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service akumaburn-alpaca-llama-3-8b-v2
Waiting for inference service akumaburn-alpaca-llama-3-8b-v2 to be ready
Inference service akumaburn-alpaca-llama-3-8b-v2 ready after 30.171387195587158s
Pipeline stage ISVCDeployer completed in 37.22s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0128824710845947s
Received healthy response to inference request in 1.168520450592041s
Received healthy response to inference request in 1.1506755352020264s
Received healthy response to inference request in 1.1865971088409424s
Received healthy response to inference request in 1.1435856819152832s
5 requests
0 failed requests
5th percentile: 1.145003652572632
10th percentile: 1.1464216232299804
20th percentile: 1.1492575645446776
30th percentile: 1.1542445182800294
40th percentile: 1.1613824844360352
50th percentile: 1.168520450592041
60th percentile: 1.1757511138916015
70th percentile: 1.1829817771911622
80th percentile: 1.351854181289673
90th percentile: 1.6823683261871338
95th percentile: 1.8476253986358642
99th percentile: 1.9798310565948487
mean time: 1.3324522495269775
Pipeline stage StressChecker completed in 7.30s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
akumaburn-alpaca-llama-3-8b_v2 status is now deployed due to DeploymentManager action
Scoring model output for bot %s
Scoring model output for bot %s
akumaburn-alpaca-llama-3-8b_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of akumaburn-alpaca-llama-3-8b_v2
Running pipeline stage ISVCDeleter
Checking if service akumaburn-alpaca-llama-3-8b-v2 is running
Tearing down inference service akumaburn-alpaca-llama-3-8b-v2
Toredown service akumaburn-alpaca-llama-3-8b-v2
Pipeline stage ISVCDeleter completed in 5.34s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v2/config.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key akumaburn-alpaca-llama-3-8b-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key akumaburn-alpaca-llama-3-8b-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.66s
akumaburn-alpaca-llama-3-8b_v2 status is now torndown due to DeploymentManager action

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