submission_id: saishf-merge-mayhem-l3-v2_v4
developer_uid: saishf
status: torndown
model_repo: saishf/Merge-Mayhem-L3-V2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.1, 'top_p': 1.0, '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': "<|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': '\n\nExample conversation:\n{prompt}<|eot_id|>', 'bot_template': ' <|start_header_id|>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: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-05-12T15:49:53+00:00
model_name: saishf-merge-mayhem-l3-v2_v1
model_eval_status: success
model_group: saishf/Merge-Mayhem-L3-V
num_battles: 7764
num_wins: 4047
celo_rating: 1186.96
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: saishf-merge-mayhem-l3-v2_v1
ineligible_reason: propriety_total_count < 800
language_model: saishf/Merge-Mayhem-L3-V2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-12
win_ratio: 0.5212519319938176
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name saishf-merge-mayhem-l3-v2-v4-mkmlizer
Waiting for job on saishf-merge-mayhem-l3-v2-v4-mkmlizer to finish
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ _____ __ __ ║
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saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ /___/ ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ Version: 0.8.10 ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ The license key for the current software has been verified as ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ belonging to: ║
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saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ Chai Research Corp. ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
saishf-merge-mayhem-l3-v2-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.
saishf-merge-mayhem-l3-v2-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Downloaded to shared memory in 15.037s
saishf-merge-mayhem-l3-v2-v4-mkmlizer: quantizing model to /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:03<09:29, 1.97s/it] Loading 0: 42%|████▏ | 121/291 [00:04<00:05, 31.95it/s] Loading 0: 76%|███████▌ | 221/291 [00:05<00:01, 50.55it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
saishf-merge-mayhem-l3-v2-v4-mkmlizer: quantized model in 17.857s
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Processed model saishf/Merge-Mayhem-L3-V2 in 33.975s
saishf-merge-mayhem-l3-v2-v4-mkmlizer: creating bucket guanaco-mkml-models
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
saishf-merge-mayhem-l3-v2-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4/config.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4/special_tokens_map.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4/tokenizer_config.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4/tokenizer.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v4/flywheel_model.0.safetensors
saishf-merge-mayhem-l3-v2-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
saishf-merge-mayhem-l3-v2-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.
saishf-merge-mayhem-l3-v2-v4-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-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.
saishf-merge-mayhem-l3-v2-v4-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-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.
saishf-merge-mayhem-l3-v2-v4-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-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()
saishf-merge-mayhem-l3-v2-v4-mkmlizer: return self.fget.__get__(instance, owner)()
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Saving duration: 0.252s
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.255s
saishf-merge-mayhem-l3-v2-v4-mkmlizer: creating bucket guanaco-reward-models
saishf-merge-mayhem-l3-v2-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
saishf-merge-mayhem-l3-v2-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/config.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/special_tokens_map.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/tokenizer_config.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/merges.txt
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/vocab.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/tokenizer.json
saishf-merge-mayhem-l3-v2-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v4_reward/reward.tensors
Job saishf-merge-mayhem-l3-v2-v4-mkmlizer completed after 72.94s with status: succeeded
Stopping job with name saishf-merge-mayhem-l3-v2-v4-mkmlizer
Pipeline stage MKMLizer completed in 75.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service saishf-merge-mayhem-l3-v2-v4
Waiting for inference service saishf-merge-mayhem-l3-v2-v4 to be ready
Inference service saishf-merge-mayhem-l3-v2-v4 ready after 171.21028327941895s
Pipeline stage ISVCDeployer completed in 178.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.30159068107605s
Received healthy response to inference request in 1.310743808746338s
Received healthy response to inference request in 1.2874414920806885s
Received healthy response to inference request in 1.2605879306793213s
Received healthy response to inference request in 1.3322460651397705s
5 requests
0 failed requests
5th percentile: 1.2659586429595948
10th percentile: 1.2713293552398681
20th percentile: 1.282070779800415
30th percentile: 1.2921019554138184
40th percentile: 1.3014228820800782
50th percentile: 1.310743808746338
60th percentile: 1.319344711303711
70th percentile: 1.327945613861084
80th percentile: 1.5261149883270266
90th percentile: 1.9138528347015382
95th percentile: 2.1077217578887937
99th percentile: 2.2628168964385984
mean time: 1.4985219955444335
Pipeline stage StressChecker completed in 8.13s
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
saishf-merge-mayhem-l3-v2_v4 status is now deployed due to DeploymentManager action
saishf-merge-mayhem-l3-v2_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of saishf-merge-mayhem-l3-v2_v4
Running pipeline stage ISVCDeleter
Checking if service saishf-merge-mayhem-l3-v2-v4 is running
Tearing down inference service saishf-merge-mayhem-l3-v2-v4
Toredown service saishf-merge-mayhem-l3-v2-v4
Pipeline stage ISVCDeleter completed in 5.52s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-v4/config.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.00s
saishf-merge-mayhem-l3-v2_v4 status is now torndown due to DeploymentManager action

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