submission_id: arlineka-llama3-rp_v1
developer_uid: arlineka
status: torndown
model_repo: arlineka/llama3-rp
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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: 2024-05-13T07:26:14+00:00
model_name: arlineka-llama3-rp_v1
model_eval_status: success
model_group: arlineka/llama3-rp
num_battles: 15283
num_wins: 8421
celo_rating: 1209.53
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: arlineka-llama3-rp_v1
ineligible_reason: propriety_total_count < 800
language_model: arlineka/llama3-rp
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-13
win_ratio: 0.5510043839560296
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name arlineka-llama3-rp-v1-mkmlizer
Waiting for job on arlineka-llama3-rp-v1-mkmlizer to finish
arlineka-llama3-rp-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-llama3-rp-v1-mkmlizer: ║ _____ __ __ ║
arlineka-llama3-rp-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
arlineka-llama3-rp-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
arlineka-llama3-rp-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
arlineka-llama3-rp-v1-mkmlizer: ║ /___/ ║
arlineka-llama3-rp-v1-mkmlizer: ║ ║
arlineka-llama3-rp-v1-mkmlizer: ║ Version: 0.8.10 ║
arlineka-llama3-rp-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
arlineka-llama3-rp-v1-mkmlizer: ║ ║
arlineka-llama3-rp-v1-mkmlizer: ║ The license key for the current software has been verified as ║
arlineka-llama3-rp-v1-mkmlizer: ║ belonging to: ║
arlineka-llama3-rp-v1-mkmlizer: ║ ║
arlineka-llama3-rp-v1-mkmlizer: ║ Chai Research Corp. ║
arlineka-llama3-rp-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
arlineka-llama3-rp-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
arlineka-llama3-rp-v1-mkmlizer: ║ ║
arlineka-llama3-rp-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-llama3-rp-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.
arlineka-llama3-rp-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
arlineka-llama3-rp-v1-mkmlizer: Downloaded to shared memory in 21.922s
arlineka-llama3-rp-v1-mkmlizer: quantizing model to /dev/shm/model_cache
arlineka-llama3-rp-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
arlineka-llama3-rp-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:03<09:32, 1.98s/it] Loading 0: 57%|█████▋ | 166/291 [00:05<00:03, 39.64it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
arlineka-llama3-rp-v1-mkmlizer: quantized model in 17.141s
arlineka-llama3-rp-v1-mkmlizer: Processed model arlineka/llama3-rp in 40.127s
arlineka-llama3-rp-v1-mkmlizer: creating bucket guanaco-mkml-models
arlineka-llama3-rp-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-llama3-rp-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-llama3-rp-v1
arlineka-llama3-rp-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-llama3-rp-v1/special_tokens_map.json
arlineka-llama3-rp-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-llama3-rp-v1/config.json
arlineka-llama3-rp-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-llama3-rp-v1/tokenizer_config.json
arlineka-llama3-rp-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-llama3-rp-v1/tokenizer.json
arlineka-llama3-rp-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/arlineka-llama3-rp-v1/flywheel_model.0.safetensors
arlineka-llama3-rp-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
arlineka-llama3-rp-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.
arlineka-llama3-rp-v1-mkmlizer: warnings.warn(
arlineka-llama3-rp-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.
arlineka-llama3-rp-v1-mkmlizer: warnings.warn(
arlineka-llama3-rp-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.
arlineka-llama3-rp-v1-mkmlizer: warnings.warn(
arlineka-llama3-rp-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()
arlineka-llama3-rp-v1-mkmlizer: return self.fget.__get__(instance, owner)()
arlineka-llama3-rp-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
arlineka-llama3-rp-v1-mkmlizer: Saving duration: 0.255s
arlineka-llama3-rp-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.538s
arlineka-llama3-rp-v1-mkmlizer: creating bucket guanaco-reward-models
arlineka-llama3-rp-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
arlineka-llama3-rp-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/config.json
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/special_tokens_map.json
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/tokenizer_config.json
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/merges.txt
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/vocab.json
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/tokenizer.json
arlineka-llama3-rp-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/arlineka-llama3-rp-v1_reward/reward.tensors
Job arlineka-llama3-rp-v1-mkmlizer completed after 72.87s with status: succeeded
Stopping job with name arlineka-llama3-rp-v1-mkmlizer
Pipeline stage MKMLizer completed in 75.90s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.21s
Running pipeline stage ISVCDeployer
Creating inference service arlineka-llama3-rp-v1
Waiting for inference service arlineka-llama3-rp-v1 to be ready
Inference service arlineka-llama3-rp-v1 ready after 30.16782259941101s
Pipeline stage ISVCDeployer completed in 36.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0934603214263916s
Received healthy response to inference request in 1.2705721855163574s
Received healthy response to inference request in 1.2892038822174072s
Received healthy response to inference request in 1.2744779586791992s
Received healthy response to inference request in 1.262840747833252s
5 requests
0 failed requests
5th percentile: 1.264387035369873
10th percentile: 1.2659333229064942
20th percentile: 1.2690258979797364
30th percentile: 1.2713533401489259
40th percentile: 1.2729156494140625
50th percentile: 1.2744779586791992
60th percentile: 1.2803683280944824
70th percentile: 1.2862586975097656
80th percentile: 1.4500551700592044
90th percentile: 1.771757745742798
95th percentile: 1.9326090335845945
99th percentile: 2.0612900638580323
mean time: 1.4381110191345214
Pipeline stage StressChecker completed in 7.95s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.03s
M-Eval Dataset for topic stay_in_character is loaded
arlineka-llama3-rp_v1 status is now deployed due to DeploymentManager action
arlineka-llama3-rp_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of arlineka-llama3-rp_v1
Running pipeline stage ISVCDeleter
Checking if service arlineka-llama3-rp-v1 is running
Tearing down inference service arlineka-llama3-rp-v1
Toredown service arlineka-llama3-rp-v1
Pipeline stage ISVCDeleter completed in 5.11s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key arlineka-llama3-rp-v1/config.json from bucket guanaco-mkml-models
Deleting key arlineka-llama3-rp-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key arlineka-llama3-rp-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key arlineka-llama3-rp-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key arlineka-llama3-rp-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key arlineka-llama3-rp-v1_reward/config.json from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key arlineka-llama3-rp-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.60s
arlineka-llama3-rp_v1 status is now torndown due to DeploymentManager action

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